Environmental Optimization of the Energy in an Electrical Network.
Transcription
Environmental Optimization of the Energy in an Electrical Network.
DEMOCRATIC AND POPULAR ALGERIAN REPUBLIC MINISTRY FOR THE HIGHER EDUCATION AND SCIENTIFIC RESEARCH. RESEARCH. University of Science and Technology of Oran - Mohamed Boudiaf – Faculty of Electrical Engineering Department of Electrical Engineering Specialty: Graduate School of Electrical Engineering Optional: Electric Networks Magister Thesis: Thesis: Environmental Optimization of the Energy in an Electrical Network. Presented by: Allali Malika Defended: Defended: 21ST October 2012 in front the Jury President: resident: Pr. M. Rahli (USTOM). Reporter: Dr. M.TAMALI. (BECHAR University). Examiner 1: Pr. C. Benachaiba. (BECHAR University). Examiner 2: Dr. M. Sellam. (BECHAR University). Examiner 3: Dr. A. Allali. (USTOM). Academic year….2011/2012 year….2011/2012 Environmental Optimization of the Energy in an Electrical Network. On peut prendre un grand plaisir simplement en regardant le monde, mais ce plaisir est accru si les yeux de l’esprit peuvent pénétrer à l’intérieure des objets et voir ce qui s’y passe. P.W. Atkins ; Abstract: This research lies within the scope of the environmental search for the solutions of optimizations of energy in the electrical supply network (obligation to reduce the emission of CO2). Indeed, the principal aiming of this research is the integration of the renewable resources (energy independence and the sustainable development) that it pushes us to consider from now on the energy problem not only according to the economic point of view, but also according to an ecological point of view. This with us encouraged to develop our systems of energy on the basis of generation distributed on a large scale including/understanding renewable energy and the highoutput solutions energetic. Keywords: Keywords: Electrical network, Renewable energy, sustainable development, Emission CO2, Smarts grids, optimization, cost, Résumé : Cette recherche s’inscrit dans le cadre de la recherche des solutions d’optimisations environnementale de l’énergie dans le réseau électrique (l’obligation de réduire l’émission de CO2). En effet, la visée principale de cette recherche est l’intégration des ressources renouvelables (l’indépendance énergétique et le développement durable) qu’il nous pousse à considérer désormais le problème énergétique non seulement selon le point de vue économique, mais également selon un point de vue écologique. Ceci à nous encouragé à développer nos systèmes d’énergie sur la base de génération distribuée à grande échelle comprenant les énergies renouvelables et les solutions à haut rendement énergétique. Mots clés : Réseau Electrique, Energie Renouvelable, Développement Durable, Emission de CO2, Smart Grid, optimisation, le coût Preface: Little background.... Year 2002 – 2008; more than six years experience in the field of electricity in a private gas and electricity works. I never lost hope that will come one day and fill up my graduate studies. January 2008 I decided to leave the company and prepare for the competition of post graduation I stayed at home almost a year, 09 months of preparation at the end I succeeded. November 2008 I had a job in the company of Algerienne Des Eaux (ADE) I occupied a position of design engineers responsible for cell energy. Only one year of very hard work, but I am proud of myself because I realized something. I won the document you are about to read, so we must never lose your hopes. First of all I would like to thank Allah for blessing me with the ability to complete this work. This work couldn’t be complete without help and support of several people. First my deep gratitude goes to my advisor, Professor Dr. M .Tamali who has provided me invaluable support, guidance, patience, and encouragement. Great thanks for my dear professor Pr. Rahli Mostéfa for his honest presidency. I would like to express my appreciation to the examiners: Pr. Benachaiba Chellali (Bechar University). Dr. Sellam Mabrouk (Bechar University). Dr. Allali Ahmed (USTO). For their honest and faithful comments. I would like to thank all my professors in University- of Bechar, and in USTO for their care and encouragement. My deep appreciations are for my parent, for their support and encouragement. Also I thank my brother Salah and my dear sister Imene for their patience, ultimate support, great generosity, and lovingness. I wish also to thank my dear sisters Amel Menasria, Karima Maazouzi and Mouna chaar for everything. Thanks to everyone who has contributed to this work directly or indirectly. Malika Allali. i CONTENTS Abstract Preface…………………………………………………………………………………………………...i Contents………………………………………………………………………………………………...ii Abbreviation…………………………………………………………………………………………....x List of figures……………………………………………………………………………………..…..xiii List of tables…………………………………………………………………………………………..xiv INTRODUCTION……………………………………………………………………………………..01 INTRODUCTION 1. Introduction……………………………………………………………………………………..…01 2. Economic relations……………………………………………………………………………..…03 2.1. Investment cost CI(t)………………………………………………………………...….03 2.2. Energy cost CE(t)……………………………………………………………………..….04 2.3. Operating cost CO(t)……………………………………………………………….……04 3. The PV generator…………………………………………………………………………….……04 4. The installation of a photovoltaic system………………………………………………..……….04 4.1. Cost and profitability…………………………………………………………………………….04 4.1.1. Influence of the angle of incidence…………………………………..…04 4.1.2. Influence of the orientation……………………………………………..04 4.1.3. Influence of the angle of inclination…………………………………....04 5. Electricity Generation from Wind Energy…………………………………………………..……05 5.1. Introduction………………………………………………………..………05 5.2. Wind Farms……………………………………………………………..….05 6. Wind generator…………………………………………………………………………………….05 7. Wind farm installation………………………………………………………………………….…06 7.1. Advantages of the wind power…………………………………………………..……06 8. The storage………………………………………………………………………………………….06 9. The inverter…………………………………………………………………………………...……07 10. Outline of the Work…………………………………………………………………………..…07 ii BIBLIOGRAPHICAL STUDY……………………………………………………………….……..08 STUDY I- Introduction……………………………………………………………………….…..…....08 II- Conservation of Energy………………………………………………………………...…..09 III- The energy resources of the planet…………………………………………………...……09 III.1. Solar radiation…………………………………………………………………………………09 --- The set of hydrologic cycle ……………………………………………………….……09 --- Wind energy…………………………………………………………………….………09 --- The wave energy………………………………………………………………………..09 --- Biomass……………………………………………………………………………..…...09 --- Geothermal …………………………………………………………………………….10 --- The gravitational interactions Earth-Moon-Sun……………………………………...10 III.2. Non-renewable energy………………………………………………………………………10 ---Nuclear……………………………………………………………………………….…10 IV. What is a ton of CO2 …………………………………………………………………………..11 IV.1. What is a ton of CO2 ………………………………………………………………..12 IV.2. Smart Grid…………………………………………………………………………...12 IV.2.1. Goals of the Smart Grid…………………………………………13 IV.2.2. What a smart grid is……………………………………………..13 IV.2.3. Smart grid functions……………………………………………..14 IV.2.4. Optimize assets…………………………………………….…….14 I. RENEWABLE ENERGY……………………………………………………………………15 ENERGY I.1. What is ‘Renewable Energy’……………………………………………15 I.2. Why Renewable Energy………………………………………………..15 I.3. How is Renewable Energy defined…………………………………….16 A. Biomass Energy……………………………………………………………………………17 a) b) c) d) e) f) g) h) i) j) k) Historical Background……………………………………………………………17 Biomass and Its Products…………………………………………………………19 Products of Biomass……………………………………………………………...20 Chemicals…………………………………………………………………………21 Energy……………………………………………………………………………..21 Transport Fuel…………………………………………………………………….22 Biomass Conversion………………………………………………………………23 Biochemical Conversion………………………………………………………….24 Thermo chemical Conversion…………………………………………………….24 Combustion………………………………………………………………………..26 Biogas………………………………………………………………………………27 iii B / - Wind Power………………………………………………………………………………..…28 B / 1- Types of turbine……………………………………………………………….29 B / 2- How Wind Power Works…………………………………………………….29 C / - Photovoltaic Systems………………………………………………………………………....31 C / 1- Examples of Communities Using Solar/PV…………………………………...31 D / - Geothermal Systems……………………………………………………………………….....32 D / 1- How Geothermal Works……………………………………………………..33 D / 2 - Advantages of Geothermal…………………………………………………...33 E / - Nuclear Energy……………………………………………………………………………….34 E / 1 – Fission………………………………………………………………………...36 F/ Micro Grids……………………………………………………………………………………..38 Introduction……………………………………………………………………………………….38 F / 1 - Definition of Micro Grids……………………………………………………39 F / 2 - Reasons for Micro grids………………………………………………………41 F / 3 - Management of Micro grid…………………………………………………..42 II. II. SUSTAINABLE DEVELOPMENT ……………………………………………….……….43 II. 1 Sustainable development in ecological economics…………………………………………43 II.2 What is Sustainable Development……………………………………………………………43 II.3 Definitions……………………………………………………………………………………..44 II.4 Climate Change………………………………………………………………………………..46 II.4.2 Observed Climate Variability and Change………………………………...…46 II.4.3 Carbon in the Atmosphere………………………………………………...….48 II.4.4 Climate change and climate protection, indicators…………………….……48 II.4.5 Objectives and indicators…………………………………………………..…49 II.4.6 GHG emission overview………………………………………………………50 II.4.7 CO2 EMISSIONS FROM FUEL COMBUSTION……………………………...52 II.5.Discussion…………………………………………………………………………………...…60 II.6.Conclusion…………………………………………………………………………………..…61 iv III. III. STUDY OF STANDARD NETWORK. ……………………….…….…….……………….62 III.1. Reliability of Supply……………………………………………………..…………………62 III.2. Supplying Electrical Energy of Good Quality………………………….…………………62 III.3. Economic Generation and Transmission………………………..……..…………………..62 III.4. Environmental Issues……………………………………………………………………….62 III.5. Structure of the Electrical Power System………………………………………………….63 III.5.1 III.5.2 III.5.3 III.5.4 Generation…………………………………………………………………..64 Transmission……………………………………………………………….65 Distribution…………………………………………………………………66 Demand……………………………………………………………………...66 III.6. Critical Infrastructures……………………………………………………………………...67 III.7. Grid system IEEE New England 39 nodes…………………………………………………68 Time of starting of the generators…………………………………………………..70 Characteristics of the transformers ………………………………………………...71 Characteristics of the lines………………………………………………………….71 III.8. Calculation CO2 emissions………………………………………………………………….72 III.9. Integration of distributed generation………………………………………………………72 III.9.1. Insertion of production decentralized like factor of reinforcement of means of production of the electric system…………………………………………………….72 III.9.1. 1/ Potential contributions of distributed generation………………….72 III.9.2. Integration of distributed generation as a factor of vulnerability of the electrical system……………………………………………………….……………..73 III.9.2.1/ Impacts of distributed generation on distribution network……………..74 III.9.2.2/ Impacts of distributed generation on the transport network…………....74 III.10. The plan of defense against major incidents - The recovery plan…………...……….....74 VI. STUDY OF LOCAL NETWORK…………………………...…………………..………..….76 NETWORK IV. 1. Introduction …………………………………………………………………….…...76 IV.2. The Characteristics Of Contracts……………..……………………………….…......76 IV.3. The Power Placed at the Disposal (PPD) and the Maximum Power Reached (MPR)……………………………………………………….……….77 IV.4. The electrical supply network (ADE)……………………………………………….77 IV.5. Consumption of energy in the electrical supply network (ADE)………………….78 IV.5. Optimization of reactive power……………………………………………………..84 v IV.5.1. Introduction…………………………………………...…………….….84 IV.6. Calculation CO2 emissions of Algerienne Des Eaux ……………………………………86 IV.7. CONCLUSION (SOLUTIONS)………………………………...……………………….…88 1- Policy………………………………...…………………………........88 2- Economic………………………...…………………………….….....89 a) - Revision of the power placed at the disposal (PPD)…..….…89 b) - Stops in the hours points……………………………..……....89 d) - solutions to be proposed ……………………………..……....89 V. CASE STUDY………………………………………………………………..…………..………..90 STUDY V.1. Introduction…………………………………………………………………………….………..90 V.2. The political solution ………………………………………………………………….…….….90 V.3. The Economic solution is…………………………………………………………….………….91 V.3.1. Revision of the power placed at the disposal (PPD)………………….….………...91 V.3.2. Stops in the peak hours……………………………………………….…………….92 V.3.3. Solutions to be proposed ……………………………………………..…………….93 V.3.3.1. Stops in the peak hours in the year 2010………………..….…………..94 V.3.3.2. The installation of a photovoltaic system….…………..……………….94 V.3.3.2.a. Estimate the power of photovoltaic panels.………………….94 V.3.3.2.b. Technical characteristics………………….…………………..96 V.3.3.2.c. Solar pump……………………………………………………97 Possible uses of this solar pump……………………………………………………………………..97 • Solar pump submersible LORENTZ PS200 up to 50 m…………………98 • Solar pump submersible LORENTZ PS600 up to 180 m……………..…98 • Solar pump submersible LORENTZ PS1200 up to 240 m……………....98 • Solar pump submersible LORENTZ PS1800 up to 250 m (high flow)…99 • Solar Pump of surface Lorentz PS150 BOOST to 120m……………..….99 V.4. Some Solutions for reduction of the CO2 emissions in Algeria and in the world …………100 1- Reduction of the CO2 emissions: Algerian researchers develop a new fuel……………100 2- New Energy Algeria (NEA) ……………………………………………………………….100 vi 2.1. Strategic Objectives ………………………….………100 2.2. Characteristics / Projects ………………………….…100 2.3. Hybrid project Solar/Gas…………………………..…100 2.4. Wind Farm Projects ………………………………….101 3- First Hybrid Solar/Gas In The World (Hassi R'mel) ……………………………………..101 3.1. Structure of the Contract…………………………..…102 4- Peaceful nuclear power ……………………………………………………………………102 5- DESERTEC Project …………………………………………………………………………102 a. Description…………………………………………………….….102 b. History…………………………………………………………….103 c. Studies……………………………………………………………..103 6- Tax CO2 with Brussels………………………………………………………………………104 7- Mobile phones could be charged by the power of speech ……………………………..…104 8- Carbon Sequestration Storage …………………………………………………………...…105 9- Agriculture and the exploitation of the forests: (Protection of the forests) ……………..105 VI. VI. DISCUSSION AND VALIDATION ………………………………………………………..106 VI.1. Systems and System Models…………………………………………………………………..106 VI.2. Optimization …………………………………………………………………………………..106 VI.3. Results and Discussion………………………………………………………………………...107 VI.3.1. Calculation of CO2 emissions (ADE) by the software…………………..107 VI.3.2. Carbon offsetting (Carbon compensation) ……………………………...107 VI.3.3. Integration of renewable resources …………………………………..…108 VI.3.3.1.The political solution ………………………………………………..109 VI.3.3.1.a/ The Economic solution ……………………………………...…...109 1.1. Revision of the power placed at the disposal (PPD)………….109 1.2. Stops in the peak hours………………………………………...109 VI.3.3.1.b/ Solutions to be proposed………………………….109 vii VI.3.4. Simulation Results………………………………………………………………………..….109 VI.3.4.1. Free standing for 10% losses………………………………109 VI.3.4.2. Building integration for 10% losses…………………….…113 VI.3.4.3. Free standing for 20% losses……………………………….117 VI.3.4.4. Building integration for 20% losses………………………..121 VI.3.5. Interpretation of results……………………………………………………………………..125 VI.3.6. Conclusion…………………………………………………………………………………...126 VII. CONCLUSIONS AND FUTURE WORK…………………………………………………….127 WORK Conclusions …………………………………………………………………………………………127 viii Abbreviations RE Renewable Energy European Union EU CIS Commonwealth Of Independent States GHG Green House Gas UNFCCC UNFCCC United Nations Framework Convention on Climate Change EU ETS EU Emission Trading System DH District Heating OPEC Organization of Arab Petroleum Exporting Countries IGCC Integrated Gasification Combined Cycle CO2 Carbon Dioxide CH4 Methanol H2 Hydrogen C3 Glycerol C4 Fumaric Acid C5 Xylitol C6 Glucaric Acid Ar Gallic Acid AHFH Army Hawaii Family Housing MHPI Military Housing Privatization Initiative RTGs Radioisotope Thermal Generators EIA Energy Information Administration MG Micro Grid PCC Point Of Common Coupling PV Photovoltaic WT Wind Turbine FC Fuel Cell MT Micro Turbine DG Diesel Generator SD Static Switch LC Local Controller AVR Automatic Voltage Regulator EE Ecological Economics SD Sustainable Development CSR Corporate Social Responsibility GDP Gross Domestic Product OECD Organization for Economic Co-Operation and Development TPES Total Primary Energy Supply PV Photovoltaic DG Distributed Generation C.D.E.G.W Company of Distribution of Electricity and Gas of the West (SONELGAZ). ADE Algerienne Des Eaux PPD Power Placed at the Disposal MPR Maximum Power Reached OPH Off-Peak Hours HP Peaks Hour’s FH Full Hours ix React ANOT TA IAT Pconsu(t): (t): PPV (t) PW (t): (t): GPV (t) GW (t) Ta (t) Pp_PV Pp_W CI(t): CE(t): CO(t): ADEME: ADEME: HCNG : CDER: NEAL: DOE: Energy Reactivates Amount Net Of Tax Total Amount All Inclusive of Tax Power Consumption Solar Power Wind Power Sunning Wind Speed Ambient Temperature Production Capacity For The Solar Production Capacity For Wind Investment Cost Energy Cost Operating Cost Agence De L’environnement Et De La Maitrise De L’énergie Hydrogen And Compressed Natural Gas Center Of Development Of Renewable Energies New Energy Algeria Department of Energy x LIST OF FIGURES Fig.1. Synoptic of the possible energy exchanges. …………………………………………………03 Fig.1: Fig.1: The greenhouse effect. Credit: IPCC, 2007………………………………………………….08 Fig.2: Fig.2: View a ton of CO2 ....…………………………………………………………………………...11 Fig.I.1: Fig.I.1: Milestones in gasification development……………………………………………………...17 Fig.I.2 Fig.I.2: I.2: Bus with an onboard gasifier during the Second World War……………………………...18 Fig.I.3: Fig.I.3: Cooking stove using fire logs…………………………………………………………………21 Fig.I.4: Fig.I.4: A biomass fired bubbling fluidized bed in Canada……………………………………….....22 Fig.I.5: Fig.I.5: Two paths, biological and chemical, for conversion of biomass into fuel, gases, or chemicals………………………………………………………………………………………………23 Fig.I.6: Fig.I.6: Two biochemical routes for production of ethanol from (noncellulosic) sugar (a) and (cellulosic) biomass (b)………………………………………………………………………………..25 Fig.I.7: Fig.I.7: Thermo chemical routes for production of energy, gas, and ethanol………………………26 Fig.I.7: Fig.I.7: Types of turbine………………………………………………………………………………29 Fig.I.8: Fig.I.8: This photo shows scientist Melissa Douglas and part of the Z machine, an inertialelectrostatic confinement fusion apparatus at Sandia National Laboratories. In the device, giant capacitors discharge through a grid of tungsten wires finer than human hairs, vaporizing them. The tungsten ions implode inward at a million miles an hour. Braking strongly in the grip of a “Zpinch,” they emit powerful x-rays that compress a deuterium pellet, causing collisions between the deuterium atoms that lead to fusion events……………………………………………………..38 Fig.I.9 Fig.I.9: Micro Grid Architecture……………………………………………………………………..40 Fig.I.10: Fig.I.10: Example of MG on Kytnos Island (PV MORE and MODE projects.)………………….....41 Fig. ig.II.1: II.1: A representation of sustainability showing how both economy and society are constrained by environmental limits………………………………………………………………………………45 Fig.II.2: Fig.II.2: Scheme of sustainable development: at the confluence of three constituent parts………45 Fig.II.3 Fig.II.3: II.3: Schematic frequency distribution of climate parameters both for present climate and changed climate. Also a broadened distribution for a changed climate is shown ………………..47 Fig. Fig.II.4: II.4: Global mean near surface air temperature since 1856 (Meteorological Office of the United Kingdom)…………………………………………………………………………………………......48 Fig.II.5: Fig.II.5: CO2 emissions by fuel in Algeria……………………………………………………….......59 xi LIST OF FIGURES Fig.II.6: Fig.II.6: CO2 emissions by fuel in Africa…………………………………………………………..…59 Fig.II.7: Fig.II.7: CO2 emissions by fuel in the World………………………………………………………...60 Fig.III Fig.III. III.1: Structure of an electrical power system…………………………………………………...64 Fig.III.2 ig.III.2: III.2: Grid system IEEE New ENgland 39 nodes…………………………………………………68 Fig.IV Fig.IV.1 IV.1: .1: Power Placed at the Disposal and the Maximum Power Reached for the year 07………77 Figure IV.2: IV.2: The electrical supply network (ADE)…………………………………………………..77 Fig.IV.3: Fig.IV.3: Power Placed at the Disposal and the Maximum Power Reached for the years 07-08-0910………………………………………………………………………………………………………80 Fig.IV.4 Fig.IV.4: IV.4: Consumption of Energy in the Off-Peak Hours per Quarter for the Years 07-08-0910………………………………………………………………………………………………………81 Fig.IV.5 Fig.IV.5: IV.5: Consumption of Energy in the Full Hours per Quarter for the Years 07-08-09-10…....82 Fig.IV.6 Fig.IV.6: IV.6: Consumption of energy in the Peaks Hours per Quarter for the Years 07-08-09-10…..83 Fig.IV.7: Fig.IV.7: Consumption of Energy Reactivates per Quarter for the Years 07-08-09-10…...………84 Fig.IV.8: Fig.IV.8: Total Amount with All Inclusive of Tax per Quarter for the Years 07-08-09-10………85 Fig.IV.9: Fig.IV.9: CO2 emissions of (ADE) per (t) for a real consumption……………………………….…86 Fig.IV.10: Fig.IV.10: CO2 emissions of (ADE) per (t) for an overall consumption……………………….…...87 Fig.IV.11: Fig.IV.11: CO2 emissions of (ADE) per (t) for a real consumption…………………………….…...87 Fig.IV.12: Fig.IV.12: CO2 emissions of (ADE) per (t) for an overall consumption…………………………….88 Fig.V.1. Monocrystalline solar module 130 Wp VICTRON - High efficiency……………………..95 Fig.V.2. LORENTZ PS (200-600-1200-1800) submersible solar pump up to (50-180-240-250)m ………………………………………………………………………………………………...97 Fig.V.3. PS200……………………………………………………………………………………..…..98 Fig.V.4. PS600…………………………………………………………………………………..……..98 Fig.V.5. PS1200………………………………………………………………………………….……98 Fig.V.6. PS1800……………………………………………………………………………………….99 Fig.V.7. PS150 BOOST…………………………………………………………………………….…99 xii LIST OF FIGURES Fig.V.8.Hybrid power station of Hassi R' mel………………………………………………….…..101 Fig.V.8. Fig.V.9: CO2 Capture and Storage…………………………………………………………………...105 Fig.VI.1. Monthly energy output from fixed-angle PV system (Free standing for 10% losses)………………………………………………………………………………………..112 Fig.VI.2. Monthly in-plane irradiation for fixed angle (Free standing for 10% losses)………112 Fig.VI.3. Outline of horizon with sun path for winter and summer solstice (Free standing for 10% losses)………………………………………………………………………………….113 Fig.VI.4. Monthly energy output from fixed-angle PV system (Building integration for 10% losses)………………………………………………………………………………………..116 Fig.VI.5. Monthly in-plane irradiation for fixed angle (Building integration for 10% losses)………………………………………………………………………………………..116 Fig.VI.6. Outline of horizon with sun path for winter and summer solstice. (Building integration for 10% losses)………………………………………………………………………………117 Fig.VI.7. Monthly energy output from fixed-angle PV system (Free standing for 20% losses)………………………………………………………………………………………..120 Fig.VI.8. Monthly in-plane irradiation for fixed angle (Free standing for 20% losses)………120 Fig.VI.9. Outline of horizon with sun path for winter and summer solstice (Free standing for 20% losses)…………………………………………………………………………………..121 Fig.VI.10. Monthly energy output from fixed-angle PV system (Building integration for 20% losses)………………………………………………………………………………………..124 Fig.VI.11. Monthly in-plane irradiation for fixed angle (Building integration for 20% losses)………………………………………………………………………………………..124 Fig.VI.12. Outline of horizon with sun path for winter and summer solstice. (Building integration for 20% losses)…………………………………………………………………125 xiii LIST OF TABLES Tab.1 Tab.1: estimating quantities of renewable energy and share exploitable…………………………..10 Tab.2: Tab.2: ………………………………………………………………………………………………….10 Tab.I.1: Tab.I.1: Sources of Biomass.. ………………………………………………………………………....19 Tab.I.2: Tab.I.2: comparisons of four major thermo chemical conversions processes………………………26 Tab.I.3: Tab.I.3: Masses of Some Particles Important to Nuclear Energy……………………………………36 Tab.I.4: Tab.I.4: Uranium Isotopes. …………………………………………………………………………...36 Tab.II.1 Tab.II.1: II.1: CO2 emissions: Sectoral Approach. ………………………………………………………..52 Tab.II.2 Tab.II.2: II.2: CO2 emissions: Sectoral Approach - Coal/peat. …………………………………………...52 Tab.II.3 Tab.II.3: II.3: CO2 emissions: Sectoral Approach – Oil. ………………………………………………….52 Tab.II.4 Tab.II.4: II.4: CO2 emissions: Sectoral Approach – Gas. …………………………………………………53 Tab.II.5 Tab.II.5: II.5: CO2 emissions: Reference Approach. …………………………………………...................53 Tab.II.6 Tab.II.6: II.6: CO2 emissions from international marine bunkers. ………………………………………53 Tab.II.7 Tab.II.7: II.7: CO2 emissions from international aviation bunkers. …………………………………..…53 Tab.II.8 Tab.II.8: II.8: CO2 emissions by sector in 2008*.………………………………………………….………54 Tab.II.9 Tab.II.9: II.9: CO2 emissions with electricity and heat allocated to consuming sectors * in 2008……..54 Tab.II.10 Tab.II.10: II.10: Total primary energy supply.……………………………………………………………..54 Tab. Tab.II.11: II.11: Total primary energy supply. ………………………………………………………….…55 Tab.II.12 Tab.II.12: II.12: GDP using exchange rates. ……………………………………………………………….55 Tab. Tab.II.13: II.13: GDP using purchasing power parities.……………………………………………………55 Tab. Tab.II.14: II.14: Population…………………………………………………………………………………55 Tab.II.15 Tab.II.15: II.15: CO2 emissions / TPES.……………………………………………………………………..56 Tab. Tab.II.16: II.16: CO2 emissions / GDP using exchange rates.……………………………………………...56 Tab. Tab.II.17: II.17: CO2 Emissions / GDP using purchasing power parities. ………………………………..56 Tab. Tab.II.18: II.18: CO2 emissions / population. ……………………………………………………………....56 xiv LIST OF TABLES Tab. Tab.II.19: II.19: CO2 emissions per kWh from electricity and heat generation*…………………….……57 Tab.II.20 Tab.II.20: II.20: CO2 emissions per kWh from electricity and heat generation using coal/peat*………..57 Tab.II.21 Tab.II.21: II.21: CO2 emissions per kWh from electricity and heat generation using oil*……………….58 Tab. Tab.II.22: II.22: CO2 emissions per kWh from electricity and heat generation using gas*………………58 Tab. Tab.II.23: II.23: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: I n Algeria……………......58 Tab. Tab.II.24: II.24: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: In Africa…………………59 Tab. Tab.II.25: II.25: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: In the World……………60 Tab.III. Tab.III.1 III.1: State of production and consumption of the grid system……………………………….69 Tab.III. Tab.III.2 III.2: Characteristics of the generators. …………………………………………………….......70 Tab.III. Tab.III.3 III.3: Time criticizes restarting of the thermal and nuclear generators………………………70 Tab.III. Tab.III.4 III.4: Characteristics of the lines of the grid system. ………………………………………….71 Tab.I Tab.IV.1: V.1: Subscription Contract. ……………………………………………………………………76 Tab. Tab.IV.2 V.2: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2007. ………………………………………………….......78 Tab.I Tab.IV.3 V.3: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2008. ……………………………………………………………….78 Tab.I Tab.IV.4 V.4: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2009.………………………………………………………………..79 Tab.I Tab.IV.5 V.5: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2010.………………………………………………………………..79 Tab.IV.6 Tab.IV.6: IV.6: Power placed at the disposal and Maximum power reached for the years 07-08-0910.……………………………………………………………………………………………………...79 Tab.IV.7 Tab.IV.7: IV.7: The amount net of tax of the (PPD and MPR).…………………………………………...80 Tab.IV.8: Tab.IV.8: Consumption of Energy (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 07. …………………………………………………………….80 Tab.IV.9: Tab.IV.9: Consumption of Energy (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 08. …………………………………………………………….80 xv LIST OF TABLES Tab.IV.10 Tab.IV.10: .IV.10: Consumption of Energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 09…………………………………………….……….81 Tab.IV.11: Consumption of Energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 09…………………………………………….……….81 Tab.IV.12 Tab.IV.12: Consumption of Energy in the off-peak hours per Quarter for the Years 07- 08 – 09 -10 ………………………………………………………………………………………………………....81 Tab.IV.13 Tab.IV.13: Consumption of Energy in the full hours per Quarter for the Years 07-08-09-10.…….82 Tab.IV.14 Tab.IV.14: Consumption of Energy in the peaks hour’s, the per Quarter for the Year 07-08-09-10 ………………………………………………………………………………………………...……….82 Tab.IV.15 Tab.IV.15: Consumption of Energy Reactivates per Quarter for the Years 07-08-09-10………...83 Tab.IV.16 Tab.IV.16: Total Amount with All Inclusive of Tax per Quarter for the Years 07-08-09-10 …………………………………………….……………………………………………………..…….85 Tab.IV.17 Tab.IV.17: For a real consumption ………………………………………………………….……….86 Tab.IV.18 Tab.IV.18: For an overall consumption …………………………………………….……………….86 Tab.IV.19 Tab.IV.19: For a real consumption ………………………………………………………….……….87 Tab.IV.2 Tab.IV.20: For an overall consumption …………………………………………….……………….88 Tab.V.2: Revision of the (PPD) in the year 2010………………………………………………...…91 Tab.V.3: Gain Realized in the year 2010……………………………………………………………92 Tab.V.4: Stops in the Peak hours in the year 2010……………………………………………..…..92 Tab.V.5: Consumption of energy in ADE (St.Tr. Djorf Torba. Kenadsa/Bechar)…………….93 Tab.V.6: Outages during peak hour’s Station de Traitement of Djorf Torba …………………94 Table VI.1: For a real consumption: (CO2 emissions of (ADE) by the software)……..…………107 Table.VI.2: For a real consumption: (CO2 emissions According to the Summit of Copenhagen there is 3300 kWh electricity = 1000 kg of CO2)………………………………………………….107 Table.VI.3: Global Warming Potential of gas……………………………………………………..107 Table.VI.4: Carbon compensation………………………………………………………………...108 Table.VI.5 Table.VI.5: Fixed system……………………………………………………………………………110 xvi LIST OF TABLES Table.VI.6 Table.VI.6: Vertical axis tracking system optimal…………………………………………………....110 Table.VI.7 Table.VI.7: Inclined axis tracking system optimal…………………………………………………...111 Table.VI.8 Table.VI.8: 2-axis tracking system……………………………………………………………………111 Table.VI.9 Table.VI.9 : Fixed system……………………………………………………………………………...114 Table.VI.10 : Vertical axis tracking system optimal………………………………………………….114 Table.VI.11 : Inclined axis tracking system optimal…………………………………………………115 Table.VI.12 : 2-axis tracking system………………………………………………………………….115 Table.VI.13 : Fixed system…………………………………………………………………………….118 Table.VI.14 : Vertical axis tracking system optimal………………………………………………….118 Table.VI.15 : Inclined axis tracking system optimal…………………………………………………119 Table.VI.16 : 2-axis tracking system………………………………………………………………….119 Table.VI.17 : Fixed system……………………………………………………………………………121 Table.VI.18 : Vertical axis tracking system optimal…………………………………………………121 Table.VI.19 : 2-axis tracking system …………………………………………………………………123 Table.VI.20 : Vertical axis tracking system optimal …………………………………………………123 xvii INTRODUCTION Environmental Optimization of the Energy in an Electrical Network. ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK Introduction: Introduction: 1. Introduction: Energy is a thermodynamic quantity equivalent to the capacity of a physical system to produce work or heat. It is essential to life. If we live better than our primitive ancestors, it is because we use more energy to do work, to produce heat, and to move people and goods. Energy can exist in various forms (chemical, Mechanical, electrical, light, etc.). It is in the process of transforming energy from one form to another that we are able to harness part of it for our own use. Energy is related to a fundamental symmetry of nature: the invariance of the physical laws under translation in time. In simple words this means that any experiment reproduced at a later time under the same conditions should give the same results. This symmetry law leads to the conservation of the physical quantity which is energy. There are also other symmetries which lead to important conservation laws. Space invariance with respect to translation or rotation leads respectively to conservation laws for momentum and angular momentum. This means that if we translate or rotate an experimental arrangement we will get the same experimental results. Conservation of energy, momentum, and angular momentum are of basic importance and govern the processes occurring in the universe. [1] Energy and information are two elements fundamentals of our modern society, both are produced, transported, processed, stored ...Many similarities exist between energy and information except that our "manipulations" energy can seriously disrupt our environment because our requirements in terms of transport and comfort are growing at a disproportionate rate our energy needs. Since the dawn of humanity, we burn: first wood, then fossil (coal, oil, gas), then uranium. In Just over a century, electricity, modern form of Energy Excellence, took a prominent plan. Its production accounts for one third of the consumption Global energy, mainly in thermo-mechanical machines of poor performance. The large-scale combustion of fossil fuels leads to massive release of various compounds which one begins to suspect that they alter balances of the planet; moreover, it is likely that we have exhausted their reserves during the century next. Nuclear waste, despite their reprocessing, and pile up, when their producers are unscrupulous, they end up in places not listed. Certainly, nuclear fusion gave a lot of hope but the technological problems it raises are far from being resolved. Meanwhile, nature provides us, generously and fairly well distributed over the earth, a quantity of energy (renewable) very largely sufficient to meet our needs. It is a multitude of technology solutions for used on a large scale or small, whether for produce heat, mechanical energy or electricity, which in turn can be transformed. So why energy utilization renewable only develops does not faster? The reasons are both political and economic. In Indeed, the current prices of fossil fuels are very down and hinder the emergence of new technologies inevitably more expensive as they have not reached mass production. Meanwhile, an increasing proportion of the population concerned, often rightly, of the dangers associated with the use of fossil fuels and nuclear fission. 1 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK This fraction of the population, on the one hand, and the many industrial lobbies, on the other hand, exert their influences the political level to address the balance of their side but, for now, the latter are still the most powerful. The trend towards deregulation is becoming increasingly prevalent worldwide. Deregulation allows the gradual privatization in generation and distribution of electric energy. It finally leads to decentralization in the modes of operation of the electrical system and diversity in ways of generating and distributing energy. On the other hand, in recent decades, a variety of reasons such as: • • • • The need to reduce the emission of greenhouse gas emissions (Kyoto Protocol in 1997) The threat of depletion of fossil energy. The issue of energy independence. Sustainable Development. Now we look to push the energy issue not only by economic standpoint, but also as an ecological standpoint. This has encouraged many countries to develop their energy system based on largescale distributed generation including renewable energy and energy-efficient solutions. Distributed Productions have very interesting potential contributions in terms of energy and economy. However, depending on their rate of penetration, these new energy sources could have significant consequences on the operation and security of power systems. To insert a massive Productions Distributed system, these impacts will be found not only in the distribution system, where most Productions distributed connected, but they will affect the whole system in terms of: Uncertainty in the planning of production means. Increase the vulnerability in the operating result: Change of the operating reserve margin. Sensitivity Productions distributed to disruptions in the network. Complexity of coordinating the management of the network. For these and others we are going to study the “Algerienne des Eaux (ADE)” which is one of the largest consumers of energy in our Bechar city; we will try to propose an integration of a renewable source on the level of consumption, since near the sites of consumption, thus reducing the cost of transport, on-line losses, and the call of reactivates power on the level of the source station; 2 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK Algerienn Algerienne Des Eaux Bechar Wind SONELGAZ PV sys. Fig.1. Fig.1. Synoptic of the possible energy exchanges. We want to satisfy the energy demand of the (ADE). We have at our disposal the network, of the systems of ecological, wind and solar production, • • • Algerienne Des Eaux (A ADE) DE consumption: Pconsu(t); Producer Solar produces at time t, respectively, a power PPV (t) The manufacturer produces wind at time t, respectively, a power PW (t). These ratings depend on: • Solar and wind fields whose time distribution is given respectively by the functions: GPV (t) (sunning in W/m²) GW (t) (wind speed in m/s); • Ambient temperature Ta (t) (in ° C); • Production capacity in terms of peak power installed. For the solar Pp_PV, For wind Pp_W (watts peak); 2. Economic relations: relations: We define the cost of energy produced or consumed C(t) C(t) for a given element, at time "t" (t in hours) as the sum of investment costs, respectively CI (purchase and installation), CE energy and use CO (operation and maintenance): C(t) C(t) = CI(t) (t) + CE(t) (t) + CO(t). 2.1. Investment cost CI(t): This cost depends on the maximum capacity of the elements :(P :(Pp_PV, Pp_W). 3 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK 2.2. Energy cost CE(t): This cost depends on the power produced or consumed at time t and the maximum power that can be received or returned by the element. 2.3. Operating cost CO(t): This cost can be decomposed into an annual maintenance cost which depends on the capacity of the installation and maintenance costs associated with wear-dependent production: 3. The PV generator: generator: The price of a PV system must take into account the actual items. It is split between all the materials conversion, labor and commissioning of the plant. The material here includes: Photovoltaic panels, mounting brackets, converters and cable connections needed. The total cost of the PV system varies depending on the source, especially as the rapidly expansion is accompanied by a rapid decrease in panel prices and the share of the plant can undergo large dispersions of the difficulties. Converters, still produced in small series, should incur significant cost reductions in the future with a peak watt installed cost of normal descending when the power increases. [2] Once the system is installed, there is a cost of operation and maintenance. 4. The installation of a photovoltaic system: 4.1. .1. Cost and profitability: The outputs of the solar panels vary according to many factors’ which are: 4.1.1. Influence of the angle of incidence: incidence The angle of incidence, it is the angle formed by the rays of the Sun and the plan of the panel. 4.1.2. Influence of the orientation: orientation The Sun rises to the East and lie down in the West. Then the orientation would have made according to the situation and or more the rays of the Sun come. 4.1.3. Influence of the angle of inclination: inclination The angle of inclination is the angle formed by the plan of the ground and the plan of the panel. 4 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK 5. Electricity Generation from Wind Energy: 5.1. Introduction: [3] There is now general acceptance that the burning of fossil fuels is having a significant influence on the global climate. Effective mitigation of climate change will require deep reductions in greenhouse gas emissions. The electricity system is viewed as being easier to transfer to lowcarbon energy sources than more challenging sectors of the economy such as surface and air transport and domestic heating. Hence the use of cost-effective and reliable low-carbon electricity generation sources, in addition to demand-side measures, is becoming an important objective of energy policy in many countries. Over the past few years, wind energy has shown the fastest rate of growth of any form of electricity generation with its development stimulated by concerns of national policy makers over climate change, energy diversity and security of supply. 5.2. Wind Farms: Numerous wind farm projects are being constructed around the globe with both offshore and onshore developments in Europe and primarily large onshore developments in North America. Usually, sites are preselected based on general information of wind speeds provided by a wind atlas, which is then validated with local measurements. The local wind resource is monitored for 1 year, or more, before the project is approved and the wind turbines installed. Onshore turbine installations are frequently in upland terrain to exploit the higher wind speeds. However, wind farm permitting and sitting onshore can be difficult as high wind-speed sites are often of high visual amenity value and environmentally sensitive. Offshore development, particularly of larger wind farms, generally takes place more than 5 km from land to reduce environmental impact. The advantages of offshore wind farms include reduced visual intrusion and acoustic noise impact and also lower wind turbulence with higher average wind speeds. 6. Wind generator: It is very difficult to calculate the price of a wind turbine without considering the actual situation. The cost is split between the material, labor, and civil construction and commissioning of the entire system. It can be very variable depending on the implantation site (topographical difficulties, distance between wind turbines and ground installation ...). The material here includes, wind turbines, masts, converters and the necessary cable connections. We see then, for the cost of installation and the total cost of the wind system according to the installed peak power. 5 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK 7. Wind farm installation: For the wind farm installation it is necessary to see many factors: (future work) The first stage consists in making sure that the site of establishment considered is appropriate for a project of Wind Park. It must in particular: To be sufficiently been windy. In the ideal, the winds must be regular and sufficiently forts, without too much turbulence, throughout the year. Studies of the winds on the site are essential; • • • • • • • • • To be easy to connect to the electrical supply high or Medium Average network; To be easy access; Not to be subjected to certain constraints (aeronautical, radars, etc.) To take into account the natural inheritance and in particular the avifauna, to avoid the zones protected not to take seat in architectural or landscape sectors significant (remarkable sites emblematic, landscapes, registered or classified sites, etc.) To be of a sufficient size to accommodate the project. The wind mills must be located at a distance from the dwellings determined by the acoustic shutter of the impact study which takes into account the regulation «Noise and Vicinity ". The distance between wind mills must be 400 m approximately. Their influence on the ground (surface overhung by the blades) is approximately 8000 m2. A wind park of 10 machines covers approximately 10 ha. 7.1. Advantages of the wind power: It preserves the hydrous resources; It is compatible with other uses of the grounds and can be used as stimulus with the development of the rural economy; It does not produce toxic or radioactive waste; It creates additional incomes for the farmers whose grounds are rented; It constitutes a tourist attraction for the local communities; It is entirely renewable, highly reliable and very efficient; It becomes increasingly economic to produce as economies of scale are carried out and that the price of electricity increases. 8. The storage: This cost includes the electrochemical batteries, cables required for connections, the cabinet or safe containment and commissioning of all. 6 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK 9. The inverter: inverter We consider here only the cost of purchasing and installing the inverter. The means of energy storage is expensive so the (SONELGAZ) takes it instantly. (Proposition) 10. 10. Outline of the Work: The work is organized as follows. A Bibliographical study an introduction and Outline of the Work. In Chapter 1, a background of renewable energy is presented. The main focus in Chapter 2 is a sustainable development, Climate change and the emission of CO2, Study of a standard network in Chapter 3. The objective of Chapter 4 is to study a local network specially study of an electrical supply network which is Algerienne Des Eaux / Bechar, namely minimizing operating costs and emission level. In Chapter 5 a Study of different solutions are proposed; policy and economic which is Revision of the power placed at the disposal (PPD PPD), PPD Stops in the peak hour’s and the integration of renewable sources like installation of a photovoltaic system and/or Wind farm and finally; in Chapter 6 deals with solving and discussion of results of the same problem as in Chapter 4 using the software on line Photovoltaic Geographical Information System (PVGIS) and another for calculate the emission of CO2 from actioncarbone.org (a program of the foundation / GOODPLANET) as an electrical supply network. Finally, conclusions and future considerations are summarized in Chapter 7. 7 Bibliographical study Environmental Optimization of the Energy in an Electrical Network. ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK Bibliographical study: study: I- Introduction: “Anyone who has kids must be . . . concerned about the climate future we’re leaving behind for them. The choices that we make today on the “what to do” about climate change will have long lifetimes . . . Our actions are changing the climate on a global scale. It’s happening now. We can’t pretend it’s not there.” Climate change is nothing new. About 18 000 years ago, Earth was experiencing the last of many ice ages, from which it only emerged about 10 000 years ago. More recently, between the years 1430–1850 portions of the Earth passed through a little ice age. The role of greenhouse gases, especially water vapor and carbon dioxide (CO2), in warming the Earth is also ancient, and indeed has long served life on Earth well. (Fig Fig. Fig.1) shows a representation of this phenomenon. Radiation from the sun reaches and warms the Earth’s surface. In turn, Earth emits radiant heat (infrared radiation) back toward space, part of which is captured by heat trapping water vapor and greenhouse gases. Without the “greenhouse effect” to trap this warmth, the Earth could be colder by 95ºF (35ºC), and not support life as we know it. However, the last century has brought greater warming beyond that which can be accounted for by natural causes, and warming is occurring at a faster rate. In an 1896 publication, Swedish chemist Svante Arrhenius noted that, “We are evaporating our coal mines into the air.” He stated a novel thought: Earth’s climate would warm as we continued to burn coal, which would increase the level of atmospheric CO2. An American, P. C. Chamberlain came to similar conclusions also in the 1890s. They believed this because they knew that CO2 absorbs and traps the infrared radiation emitted from the Earth. So, increasing levels of atmospheric CO2 would lead to increasing temperatures. Living in a very cold climate Arrhenius relished the possibility, and believed it might prevent the onset of another ice age. [4] Fig.1 Fig.1: The greenhouse effect. Credit: IPCC, 2007. 8 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK IIII- Conservation of Energy: Energy: Energy can be utilized but not consumed. It is a law of nature that energy is conserved. We degrade or randomize energy, just as we randomize mineral resources when we process ores into metal and then discard the product as we do, for example, with used aluminum cans. All energy we use goes into heat and is eventually radiated out into space. The consumable is not energy; it is the fact that energy has not yet been randomized. The degree of randomization of energy is measured by the entropy of the energy. [5] IIIIII- The energy resources of the planet: planet: Before you begin, it is advisable to define the terminology. The primary energy is energy directly converted into heat, and electricity from power plants through thermo-mechanical cycles (yields 30-50%) is classified as secondary. In contrast, Hydropower is called primary electricity. The renewable energy (RE) are, in our scale time, those who are exempted by the continuously nature, they are derived from sunlight, Earth’s core and the gravitational interactions moon and sun with the ocean. Non-renewable energy (NRE) NRE) are derived from fossil fuels (coal, oil, natural gas ...) themselves from the action of sun for tens of millions of years, this is a fossilized biomass. The uranium used nuclear fission can also be considered as renewable because its reserves are limited. As for the fusion energy, if we master a day, it can be considered inexhaustible our scale. Perhaps one of its dangers: Excessive energy dissipation at the surface of the land could lead to changes catastrophic. Note that the man consumes today, an energy corresponding to 1 / 8000 th of solar energy that reaches the surface of the earth. III.1. Solar radiation: the energy received at the surface (total 720.1015 kW.h) varies by m² of 1100 kW.h to 2300 kW.h / year, or a power average (distributed over the year, taking into account alternating light-dark and cloudy periods) of 120 to 260 W / m² and a peak power of over 1 kW / m². Much hits the ocean and gives what is commonly called thermal energy sea is about 80 1012 kW.h (in areas Tropical: 20 ° C temperature difference between water surface and 1000 m depth). ---The The set of hydrologic cycle converts 360 1015 KW.h. The evaporation of water (mainly Oceans) leads to precipitation channeled then by rivers and streams and also winds. The waves are produced by wind also a source of usable energy. The technically exploitable hydropower worth, estimated between 15 and 25 1012 KW.h. ---Wind Wind energy also been exploited long (sail propulsion, windmills, pumps water), represents a huge resource, 32 1015 kW.h, whose share of usable land is estimated at 50 1012 kW.h / year. Much lies offshore "In fact winds much stronger off and, especially, more regularly. ---The The wave energy is estimated to be available 8 1012 kW.h including 90 109 kW.h per year technically usable (power about 50 kW m wave front seems refundable). ---Biomass Biomass: Biomass This is the product of photosynthesis. The share renewable annually (20%) of biomass energy represents an approximately 800 to 900 1012 KW.h. Is currently 3% food, 0.6% for the timber industry and paper and 1.8% for combustion (heating and cooking). We estimate that the share reached easily exploitable 60 1012 KW.h. 9 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK --- Geothermal The earth's molten core releases energy Annual approximately 300 1012 kW.h (heat flow ranging from 0.05 to 1 W / m², which is very low compared to solar radiation). Reserves exploitable are about 40 109 high kW.h energy (150 to 350 ° C, used for production electricity) and 300 109 kW.h low energy (50 to 90 ° C for heating). --- The gravitational interactions EarthEarth-MoonMoon-Sun: Sun the tides are the product of these interactions. The annual tidal energy is about 25.1012kW.h. A small part is used in areas of high tide with a constriction is estimated at 270 to 500,109 kW.h (plant Rance produces: 0,54 109 kW.h). Table 1: estimating quantities of renewable energy and share exploitable. Annual resources overall estimate Solar biomass hydrologic cycle Geothermal Tides 700*1015 4.5*1015 360*1015 300*1012 25*1012 kw.h Products share exploitable --qq 10*1012 60*1012 hydro Wind wave H temp Estuary 20*1012 50*1012 90*109 40*109 500*109 III.2. NonNon-renewable energy: These fossil fuels: oil, coal and natural gas, for the most known, there is also, in much greater quantity but less easily exploitable oil shale. Since 1970, we have doubled our consumption of oil. The Oil accounted for 45% of energy consumed while this proportion fell to 38% today and seems to stabilize in the coming years. These energies have the advantage of low cost but the disadvantage of being clean. However, it is possible to reduce emissions (filtering in smokestacks, catalytic converters ...) but the price is increased. Table 2: 2: fossil energy exploitable reserves total estimated reserves pace 90s oil 1.8 to 2*1015 Coal 8*1015 Natural Gas 1.2*1015 shale 2*1015 4*1015 40 years 220 years 60 years ??years Table 2 gives an idea of reservations known but beware, the time periods indicated are very hypothetical and based on known reserves exploitable as well as the current rate of consumption. Intensive oil exploration reveals, on average each year, the equivalent of what that was consumed ... Nevertheless, we have a very limited period of exploitation of renewable energies that is difficult to assess objectively. It is thus very likely that we have exhausted the fossil fuels during the twenty-first century. Coal reserves are still very important (especially in India and China) and operation will probably find a strong growth over the next century. It will then need to seriously clean combustion. ---Nuclear: Nuclear: Uranium-235 used in the fission reactions Nuclear power is an inexhaustible ore. Reserves are estimated at 580.1012 KW.h. Uranium 238, converted into fissile material in breeder reactors is 10 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK much more abundant, it would, if breeder reactors were operating at an industrial scale, a reserve of 80.1015 kW.h or 10 times the reserves known coal. Major drawback of the fission wastes, that are expensive to reprocess and after reprocessing to retain a share of them a high radioactivity to long life. Their storage poses the problem of sustainability and memory sites. The merger is expected to free ourselves from the problem of waste as it is supposed to be clean. Deuterium and tritium are abundant enough: a liter of Water Sea contains, in deuterium, which provide an MW.h. The tritium must be manufactured, for example from lithium which would provide the land resources 200.1015 kW.h and those oceans kW.h 1021 (the million years at current rates). But all this is still fiction. IV. What is a ton of CO2? At the Copenhagen summit, a huge cube of side 8.2 m (equivalent to a three-story building) was installed on a lake in the Danish capital. It represents the volume occupied by one tone of CO2, the normal atmospheric pressure. It is also the amount of CO2 as the average person in an industrialized country emits each month. Every day 80 million tones of CO2 are emitted worldwide. In one year, an American rejects 22.9 tons of CO2, a European 10.6 tons, a sub-Saharan Africa 4.5 tones and India 1.8 tones of CO2. Fig.2. Fig.2. View a ton of CO2. Another view is offered to us by CO2 logic: A ball of the Atomium could contain 5 tons of pure CO2. Emissions of CO2 equivalent each year by Belgian content of more than two balls of the Atomium. On the scale of Belgium, the equivalent content of 30 million balls of the Atomium is issued annually. Imagine 30 million balls of the Atomium in the sky... 11 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK IV.1. What is a ton of CO2? Using the following correspondences, we can easily calculate the CO2 emissions caused by our daily activities. 1 m³ of gas: 2 kg CO2 1 liter of gasoline: 2.39 kg CO2 1 liter of diesel: 2.64 kg CO2 10 kWh of electricity in Belgium: 3 kg of CO2 1 liter LPG: 1.67 kg CO2 • 1000 kg CO2 = Roll 8400 km of diesel (4.5 litres/100km) or gasoline (5 litres/100km). • 1000 kg CO2 = Use 500 cubic feet of gas (enough to heat an apartment of 50 m² moderately isolated) or 380 gallons of oil • 1000 kg CO2 = 3300 kWh of electricity (average consumption of a household of three people using electricity for appliances and lighting). • 1000 kg CO2 (per passenger) = one round trip Brussels-Lisbon by plane (3400 km) • 700 kg CO2 = annual consumption of a boiler electric (80l/jour) • 480 kg CO2 = annual savings by opting for a solar water heater (if a boiler fuel) • 370 kg CO2 = annual savings by opting for a solar water heater (in a gas boiler) • 100 kg CO2 = a computer in standby mode over a year • 15-35 CO2e = 1kg beef (other protective plastic rings gas emissions are also emitted during the production of beef: CH4, NO2 ...) we reduce CO2 equivalents for a total value. IV.2. Smart Grid: Smart grid is a type of electrical grid which attempts to predict and intelligently respond to the behavior and actions of all electric power users connected to it - suppliers, consumers and those that do both – in order to efficiently deliver reliable, economic, and sustainable electricity services. In Europe, the smart grid is conceived of as employing innovative products and services together with intelligent monitoring, control, communication, and self-healing technologies in order to: • • • • • • Better facilitate the connection and operation of generators of all sizes and technologies; Allow consumers to play a part in optimizing the operation of the system; Provide consumers with greater information and options for choice of supply; Significantly reduce the environmental impact of the whole electricity supply system; Maintain or even improve the existing high levels of system reliability, quality and security of supply; Maintain and improve the existing services efficiently In the United States, the Smart Grid concept is defined as the modernization of the nation's electricity transmission and distribution system to maintain a reliable and secure electricity infrastructure that can meet future demand growth and to achieve each of the following, which together characterize a Smart Grid: 12 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK 1. Increased use of digital information and controls technology to improve reliability, security, and efficiency of the electric grid. 2. Dynamic optimization of grid operations and resources, with full cyber-security. 3. Deployment and integration of distributed resources and generation, including renewable resources. 4. Development and incorporation of demand response, demand-side resources, and energy-efficiency resources. 5. Deployment of `smart' technologies (real-time, automated, interactive technologies that optimize the physical operation of appliances and consumer devices) for metering, communications concerning grid operations and status, and distribution automation. 6. Integration of `smart' appliances and consumer devices. 7. Deployment and integration of advanced electricity storage and peak-shaving technologies, including plug-in electric and hybrid electric vehicles, and thermalstorage air conditioning. 8. Provision to consumers of timely information and control options. 9. Development of standards for communication and interoperability of appliances and equipment connected to the electric grid, including the infrastructure serving the grid. 10. Identification and lowering of unreasonable or unnecessary barriers to adoption of smart grid technologies, practices, and services. The smart grid implies a fundamental re-engineering the electric services industry, but focuses on the technical infrastructure. IV.2.1. Goals of the Smart Grid: Grid: Smart energy demand is a broad concept. It includes any energy-user actions to: • Enhancement of reliability. • Reduce peak demand, • Shift usage to off-peak hours, • Lower total energy consumption, • Actively manage electric vehicle charging, • Actively manage other usage to respond to solar, wind, and other renewable resources, and. • Buy more efficient appliances and equipment over time based on a better. Understanding of how energy is used by each appliance or item of equipment. IV.2.2. What a smart grid is: is: The function of an electrical grid is not a single entity but an aggregate of multiple networks and multiple power generation companies with multiple operators employing varying levels of communication and coordination, most of which is manually controlled. Smart grids increase the connectivity, automation and coordination between these suppliers, consumers and networks that perform either long distance transmission or local distribution tasks. 13 ENVIRONMENTAL OPTIMIZATION OF THE ENERGY IN AN ELECTRICAL NETWORK • • Transmissions networks move electricity in bulk over medium to long distances, are actively managed, and generally operate from 345kV to 800kV over AC and DC lines. Local networks traditionally moved power in one direction, "distributing" the bulk power to consumers and businesses via lines operating at 132kV and lower. Smart Energy Demand mechanisms and tactics include: • • • • • • • Smart meters, Dynamic pricing, Smart thermostats and smart appliances, Automated control of equipment, Real-time and next day energy information feedback to electricity users, Usage by appliance data, and Scheduling and control of loads such as electric vehicle chargers, home area networks (HANs), and others. IV.2.3. Smart grid functions: functions: Before examining particular technologies, a proposal can be understood in terms of what it is being required to do. The governments and utilities funding development of grid modernization have defined the functions required for smart grids. According to the United States Department of Energy's Modern Grid Initiative report, a modern smart grid must: 1. 2. 3. 4. 5. 6. 7. 8. Be able to heal itself. Motivate consumers to actively participate in operations of the grid. Resist attack. Provide higher quality power that will save money wasted from outages. Accommodate all generation and storage options. Enable electricity markets to flourish. Run more efficiently. Enable higher penetration of intermittent power generation sources. IV.2.4. Optimize assets: A smart grid can optimize capital assets while minimizing operations and maintenance costs. Optimized power flows reduce waste and maximize use of lowest-cost generation resources. Harmonizing local distribution with interregional energy flows and transmission traffic improves use of existing grid assets and reduces grid congestion and bottlenecks, which can ultimately produce consumer savings. 14 Renewable Energy Environmental Optimization of the Energy in an Electrical Network. CHAPTER I RENEWABLE ENERGY I. Renewable Energy: I.1. I.1. What is ‘Renewable Energy’? Renewable Energy (RE) has been defined, somewhat strictly, as ‘energy flows that occur naturally and repeatedly in the environment and can be harnessed for human benefit’. A looser and, arguably, more widely used description might be ‘energy produced from a renewable and/or sustainable fuel source’. The Characteristics of what qualify, for each individual country, as ‘renewable’, ‘sustainable’, or ‘alternative’ Fuels (that is, alternative to traditional fossil fuels) under such definitions tend to vary, with certain exceptions being made for sources such as municipal and some industrial wastes. The most widely recognized forms of RE are, undoubtedly, wind power and hydro power which, despite the major advances achieved in technology and output rating over the past decade, have a history that goes back centuries. There are, however, various others RE technologies both in use and under development which can, as will be explored later, represent solutions that can be both environmentally and economically viable. [ 6] I.2. Why Renewable Energy? The continuing appetite of the United States of America for fossil fuels, to which has now been added the increasing demand from the rapidly growing economies of, notably, India and the People’s Republic of China, means that the energy source status quo requires significant, and urgent, re-assessment. Current and proposed new pipeline construction projects, designed to deliver increased volumes of both oil and gas supplies to the new emerging economic powers in the East, will put increasing strain on the West’s accessibility to traditionally low-cost fossil fuel resources. Lying between a hoped for future within the European Union (EU) and an historic and continuing dependence on fossil fuel supplies from Russian and other (CIS) CIS) territories (Commonwealth of Independent States), the countries of Central, Eastern and Southern Europe have increasingly urgent reason to promote the development and exploitation of their indigenous RE resources. In addition, the continuing security issues in the Middle East, and the Russian Federation’s demonstration of its energy supply ‘muscle’ in the December 2005–January 2006 period have been reminders, if any were still required, of the need to seek the improvement of energy supply security through, inter alia, diversification of sources – both geographic and type. The world’s and, in particular, the industrialized Management of micro grids countries of the West’s, reliance upon fossil fuels has been the subject of serious concern and debate for a number of years, as has, more recently, the impact on the environment of increasing consumption of these fuels. According to the United Nations, the industrialized countries of North America and Western Europe, along with a few other states, such as Japan, are responsible for the vast bulk of past and current GHG emissions. As a consequence, the majority of the world’s countries have entered into a variety of undertakings to reduce the rate of climate change – the most important of these being the Kyoto Protocol – by means, inter alia, of energy efficiency improvements and GHG reductions. Some governments (with the notable exception of the world’s leading consumer and producer of emissions, together with a small number of others) have, as a result of membership of the United 15 CHAPTER I RENEWABLE ENERGY Nations Framework Convention on Climate Change (UNFCCC), (UNFCCC) ratification of the Kyoto Protocol and the obligations entered into under other conventions, begun to introduce a number of legislative incentives and penalties designed to increase the use of alternative energy resources. A number of countries, such as the United Kingdom, have imposed taxes or ‘levies’ on carbon emissions. Enhanced, or ‘green’, tariffs have been introduced by many governments to provide a spur to the production and use of RE, and guarantee access to the grid by RE-generating plants. RE Systems have been, and are being, developed in many countries to require waste management companies and landfill operators to manage the escape of greenhouse gases, such as methane, from landfill sites. The EU has introduced an Emission Trading System (EU ETS) to create a market for GHG reduction units, whilst the Joint Implementation and Clean Development Mechanism established by the Kyoto Protocol offer potential financial leveraging benefits for qualifying RE projects as an indirect incentive for implementation of emissions-reducing technologies. An additional, if arguably indirect, driver for a move towards greater RE generation has been the increasing realization by governments that advances in Technology now means that their indigenous resources can be harvested with much greater efficiency and lower cost than before. Much of Central, Eastern and Northern European countries have significant DH (District Heating) infrastructures, to which cogeneration plants fuelled by biomass or waste feed-stocks can be connected with minimal disruption. Few plants have the added advantage of being able to address a waste problem at the same time, providing an enhanced benefit. [ 6] I.3. How is Renewable Energy defined? Generally, wind Governments, on the other hand, are driven more by the need to meet their international RE obligations and, increasingly, by the desire to achieve greater balance in their energy supply security positions. It will be seen, however, that the greatest (and, arguably, most easily implemented) RE project development opportunities across the whole region lie principally in the Biomass/ Biofuel/Energy from Waste sectors, with some markets also benefiting from substantial availability of small hydro resources. Whilst in some cases technologically viable, the current status of technology in the solar power sector does not yet appear to be commercially viable within the region, although recent developments in both conversion efficiencies and cost reductions gives some encouragement to the view that solar power generation projects may eventually become economically competitive in the medium term. The development of wind projects may be feasible in some specific instances (eg Croatia) although, due to the intermittent nature of power delivery from such schemes, wind developments may be better suited as part of an alternative application – for example, the production of water in desalination plants, or in the Generation of hydrogen for hydrogen cells – rather than in direct power generation for the grid. Few projects – in particular if developed on an integrated, holistic basis – have, we believe, a particularly Interesting place in the RE mix, as perspective of an RE project developer or investor, it is clear that the ‘best’ or most attractive projects will be those from which the greatest returns can be made over the shortest period. This, however, has tended to be on the back of heavily subsidized tariff structures, which often favor a particular resource generally, wind. Governments, 16 CHAPTER I RENEWABLE ENERGY on the other hand, are driven more by the need to meet their international RE obligations and, increasingly, by the desire to achieve greater balance in their energy supply security positions. [ 6] A. Biomass Energy: Fig.I Fig.I.1: .1: Milestones in gasification development. a) Historical Background: The earliest known investigation into gasification was carried out by Thomas Shirley, who in 1659 experimented with “carbureted hydrogen” (now called methane). Figure I.1 shows some of the important milestones in the progression of gasification. The pyrolysis of biomass to produce charcoal was perhaps the first large scale application of a gasification-related process. When wood, owing to its overuse, became scarce toward the beginning of the eighteenth century, coke was produced from coal through pyrolysis, but the use of by-product gas from pyrolysis received little attention. Early developments were inspired primarily by the need for town gas for street lighting. The salient features of town gas from coal were demonstrated to the British Royal Society in 1733, but the scientists of the time saw no use for it. In 1798, William Murdoch used coal-gas (Also known as town gas) to light the main building of the Soho Foundry and in 1802 he presented a public display of gas lighting, astonishing the local population. Friedrich Winzer of Germany patented coal-gas lighting in 1804. By 1823 numerous towns and cities throughout Britain were gas-lit. At the time, the cost of gas light was 75% less than that for oil lamps or candles and this helped accelerate its development 17 CHAPTER I RENEWABLE ENERGY and deployment. By 1859, 1859 gas lighting had spread throughout Britain. It came to the United States probably in 1816, 1816 with Baltimore the first city to use it. The history of gasification may be divided into four periods, as described in the following: 1850– 1850–1940: During this early stage, the gas made from coal was used mainly for lighting homes and streets and for heating. Lighting helped along the Industrial Revolution by extending working hours in factories, especially on short winter days. The invention of the electric bulb circa 1900 reduced the need for gas for lighting, but its use for heating and cooking continued. With the discovery of natural gas, the need for gasification of coal or biomass decreased. 1940– 1940–1975: The period 1940– 1940–1975 1975 saw gasification enter two fields of application as synthetic fuels: internal combustion and chemical synthesis into oil and other process chemicals. In the Second World War, Allied bombing of Nazi oil refineries and oil supply routes greatly diminished the crude oil supply that fueled Germany’s massive war machinery. This forced Germany to synthesize oil from coal-gas using the Fischer-Tropsch (see see Eq. I.1 (2n + 1) H2 + n CO (catalyst (catalyst) catalyst) → CnH2n+2+nH2O.) O.) and Bergius processes (n C + (n + 1) 1) H2 → CnH2n+2). n+2) Chemicals and aviation fuels were also produced from coal. A large number of cars and trucks in Europe operated on coal or biomass gasified in onboard gasifies. During this period over a million small gasifies were built primarily for transportation (see Fig.I Fig.I.2). The end of the Second World War and the availability of abundant oil from the Middle East eliminated the need for gasification for transportation and chemical production. [7] Fig. Fig. I.2: .2: Bus with an onboard gasifier during the Second World War. The advent of plentiful natural gas in the 1950s dampened the development of coal or biomass gasification, but syngas production from natural gas and naphtha by steam reforming increased, especially to meet the growing demand for fertilizer. 1975– 1975–2000: The third phase in the history of gasification began after the Yom Kippur War, which triggered the 1973 oil embargo. On October 15, 1973, members of the Organization of Arab Petroleum Exporting Countries (OPEC) banned oil exports to the United States and other western countries, which were at that time heavily reliant on oil from the Middle East. This shocked the western economy and gave a strong impetus to the development of alternative technologies like 18 CHAPTER I RENEWABLE ENERGY gasification in order to reduce dependence on imported oil. Besides providing gas for heating, gasification found major commercial use in chemical feedstock production, which traditionally came from petroleum. The subsequent drop in oil price, however, dampened this push for gasification, but some governments, recognizing the need for a cleaner environment, gave support to large-scale development of Integrated Gasification Combined Cycle (IGCC) power plants. PostPost-2000: Global warming and political instability in some oil-producing countries gave a fresh momentum to gasification. The threat of climate change stressed the need for moving away from carbon-rich fossil fuels. Gasification came out as a natural choice for conversion of renewable carbon-neutral biomass into gas. The quest for energy independence and the rapid increase in crude oil prices prompted some countries to recognize the need for development of IGCC plants. The attractiveness of gasification for extraction of valuable feedstock from refinery residue was rediscovered, leading to the development of some major gasification plants in oil refineries. In fact, chemical feedstock preparation took a larger share of the gasification market than energy production. b) Biomass and Its Products: Products: Biomass is formed from living species like plants and animals that is, anything that is now alive or was a short time ago. It is formed as soon as a seed. Sprouts or an organism is born. Unlike fossil fuel, biomass does not take millions of years to develop. Plants use sunlight through photosynthesis to metabolize atmospheric carbon dioxide and grow. Animals grow by taking in food from biomass. Fossil fuels do not reproduce whereas biomass does, and, for that reason, is considered renewable. This is one of its major attractions as a source of energy or chemicals. Every year, a vast amount of biomass grows through photosynthesis by absorbing CO2 from the atmosphere. When it burns it releases carbon dioxide that the plants had absorbed from the atmosphere only recently (a few years to a few hours). Thus, any burning of biomass does not add to the Earth’s carbon dioxide inventory. For this reason biomass is considered a “carbon neutral” fuel. Farm products Corn, sugar cane, sugar beet, wheat, etc. Rape seed, soybean, palm sunflower seed, Jatropha, etc. Ligno-cellulosic Materials Straw or cereal plants, husk, wood, Scrap, slash, etc. Tab.I Tab.I.1: .1: Sources of Biomass. 19 Produces ethanol Produces biodiesel Can produce ethanol, Bio-liquid, and gas CHAPTER I RENEWABLE ENERGY Of the vast amount of biomass, only 5% (13.5 billion metric tons) can be potentially mobilized to produce energy. This quantity is still large enough to provide about 26% of the world’s energy consumption, which is equivalent to 6 billion tons of oil. Biomass covers a wide spectrum from tiny grass to massive trees, from small insects to large animal wastes, and the products derived from these. The principal types of harvested biomass are cellulosic (non cereal) and starch and sugar (cereal). All parts of a harvested crop like corn plant are biomass, but its fruit (corn) is a starch while the rest of it is ligno-cellulose. The crop (corn) can produce ethanol through fermentation, but the ligno-cellulosic part of the corn plant requires a more involved process through gasification or hydrolysis. Table I.1 lists the two types of harvested biomass in food and nonfood categories, and indicates the potential conversion products from them. The division is important because the production of transport fuel (ethanol) from cereal, which is relatively easy and more established, is already being pursued commercially on a large scale. The use of such food stock for energy production, however, may not be sustainable as it diverts cereal from the traditional grain market to the energy market, with economic, social, and political consequences. Efforts are thus being made to produce more ethanol from nonfood resources like ligno-cellulosic materials such that the world’s food supply is not strained by its energy hunger. c) Products of Biomass: Three types of primary fuel are produced from biomass: - Liquid (ethanol, biodiesel, methanol, vegetable oil, and pyrolysis oil) - Gaseous (biogas (CH CH4, CO2), producer gas (CO, CO, H2, CH4, CO2, H2), syngas (CO, CO, H2), substitute natural gas (CH CH4)) - Solid (charcoal, torrefied biomass) From these come four major categories of product: - Chemicals such as methanol, fertilizer, and synthetic fiber - Energy such as heat - Electricity - Transportation fuel such as gasoline and diesel The use of ethanol and biodiesel as transport fuels reduces the emission of CO2 per unit of energy production. It also lessens dependence on fossil fuel. Thus, biomass-based energy not only is renewable but is also clean from a Green House Gas (GHG) emission standpoint, and so it can take the center stage on the global energy scene. This move is not new. Civilization began its energy use by burning biomass. Fossil fuels came much later, around 1600 a.d. Before the twentieth century, wood (a biomass) was the primary source of the world’s energy supply. Its large-scale use during the early Industrial Revolution caused so much deforestation in England that it affected industrial growth. As a result, from 1620 to 1720 20 CHAPTER I RENEWABLE ENERGY iron production decreased from 180,000 to 80,000 tons per year. This situation was rectified by the discovery of coal, which began displacing wood for energy as well as for metallurgy. d) Chemicals: Most chemicals produced from petroleum or natural gas can be produced from biomass. The two principal platforms for chemical production are sugar based and syngas based. The former involves sugars like glucose, fructose, xylose, arabinose, lactose, sucrose, and starch. The syngas platform synthesizes the hydrogen and carbon monoxide constituent of syngas into chemical building blocks. Intermediate building blocks for different chemicals are numerous in this route. They include hydrogen, methanol, glycerol (C C3), fumaric acid (C C4), xylitol (C C5), glucaric acid (C C6), and gallic acid (Ar Ar), to name a few. These intermediates are synthesized to produce large Ar numbers of chemicals for industries involving transportation, textiles, food, the environment, communications, health, housing, and recreation. e) Energy: Biomass was probably the first on-demand source of energy that humans exploited. However, less than 22% of our primary energy demand is currently met by biomass or biomass-derived fuels. The position of biomass as a primary source of energy varies widely depending on the geographical and socioeconomic conditions. For example, it constitutes 90% of the primary energy source in Nepal but only 0.1% in the Middle East. Cooking, although highly Fig.I Fig.I.3: .3: Cooking stove using fire logs. 21 CHAPTER I RENEWABLE ENERGY Fig.I Fig.I.4: .4: A biomass fired bubbling fluidized bed in Canada. Inefficient, is one of the most extensive uses of biomass in less-developed countries. Fig.I Fig.I.3 shows a cooking stove still employed by millions in the rural areas using twigs or logs as fuel. A more efficient modern commercial use of biomass is in the production of steam for process heat and electricity generation like the facility shown in Fig.I Fig.I.4. Heat and electricity are two forms of primary energy derived from biomass. The use of biomass for efficient energy production is presently on the rise in developed countries because of its carbonneutral feature while its use for cooking is declining because of a shortage of biomass in lessdeveloped countries. f) Transport Fuel: Fuel: Diesel and gasoline from crude petro-oil are widely used in modern transportation industries. Biomass can help substitute these petro-derived transport fuels. Ethanol, produced generally from sugarcane and corn, is used in gasoline (spark-ignition) engines, while biodiesel, produced from vegetable oils such as rape seed, is used in diesel (compression-ignition) engines. Pyrolysis, fermentation, and mechanical extraction are three major ways to produce transport fuel from biomass. Of these, commercially the most widely used method is fermentation, where sugar (sugarcane, etc.) or starch (corn, etc.) produces ethanol. It involves a relatively simple process where yeast helps ferment sugar or starch into ethanol and carbon dioxide. The production and refining of marketable ethanol takes a large amount of energy. Extraction of vegetable oil from seeds, like rape seed, through mechanical means has been practiced for thousands of years. Presently, oils like canola oil are refined with alcohol (transesterification) to produce methyl ester or biodiesel. Pyrolysis involves heating biomass in the absence of air to produce gas, char, and liquid. The liquid is a precursor of bio-oil, which may be hydro, treated to produce “green diesel” or “green gasoline.” At this time, ethanol and biodiesel dominate the world’s biofuels market. Gasification and anaerobic digestion can produce methane gas from biomass. 22 CHAPTER I RENEWABLE ENERGY The methane gas can then be used directly in some spark-ignition engines for transportation, or converted into gasoline through methanol. g) Biomass Conversion: Conversion: The bulky and inconvenient form of biomass is a major barrier to a rapid shift from fossil to biomass fuels. Unlike gas or liquid, biomass cannot be handled, stored, or transported easily, especially in its use for transportation. This provides a major motivation for the conversion of solid biomass into liquid and gaseous fuels, which can be achieved through one of two major paths (Fig.I (Fig.I.5). .5). (1) Biochemical (fermentation) and; (2) Thermo chemical (pyrolysis, gasification). Biochemical conversion is perhaps the most ancient means of biomass gasification. India and China produced methane gas for local energy needs by anaerobic microbial digestion of animal wastes. In modern times, most of the ethanol for automotive fuels is produced from corn using fermentation. Thermo chemical conversion of biomass into gases came much later. Large-scale use of small biomass gasifiers began during the Second World War, when more than a million units were in use. Fig.I Fig.I.5 shows that the two broad routes of conversion are subdivided into several categories. A brief description of these follows. Fig.I Fig.I.5: .5: Two paths, biological and chemical, for conversion of biomass into fuel, gases, or chemicals. 23 CHAPTER I RENEWABLE ENERGY h) Biochemical Conversion: Conversion: In biochemical conversion, biomass molecules are broken down into smaller molecules by bacteria or enzymes. This process is much slower than thermo chemical conversion, but does not require much external energy. The three principal routes for biochemical conversion are: • • • Digestion (anaerobic and aerobic) Fermentation Enzymatic or acid hydrolysis The main products of anaerobic digestion are methane and carbon dioxide in addition to a solid residue. Bacteria access oxygen from the biomass itself instead of from ambient air. Aerobic digestion, or composting, is also a biochemical breakdown of biomass, except that it takes place in the presence of oxygen. It uses different types of microorganisms that access oxygen from the air, producing carbon dioxide, heat, and a solid digestate. In fermentation, part of the biomass is converted into sugars using acid or enzymes. The sugar is then converted into ethanol or other chemicals with the help of yeasts. The lignin is not converted and is left either for combustion or for thermo chemical conversion into chemicals. Unlike in anaerobic digestion, the product of fermentation is liquid Fermentation of starch and sugar-based feedstock (i.e., corn and sugarcane) into ethanol is fully commercial, but this is not the case with cellulosic biomass because of the expense and difficulty in breaking down (hydrolyzing) the materials into fermentable sugars. Ligno-cellulosic feedstock, like wood, requires hydrolysis pretreatment (acid, enzymatic, or hydrothermal) to break down the cellulose and hemicelluloses into simple sugars needed by the yeast and bacteria for the fermentation process. Acid hydrolysis technology is more mature than enzymatic hydrolysis technology, though the latter could have a significant cost advantage. Fig.I Fig.I.6 shows the schemes for fermentation (of sugar) and acid hydrolysis (of cellulose) routes. i) Thermo chemical Conversion: Conversion: In thermo chemical conversion, the entire biomass is converted into gases, which are then synthesized into the desired chemicals or used directly (Fig.I (Fig.I.7). The Fischer-Tropsch synthesis of syngas into liquid transport fuels is an example of thermo chemical conversion. Production of thermal energy is the main driver for this conversion route that has four broad pathways: • • • • - Combustion - Pyrolysis - Gasification - Liquefaction Tab.I Tab.I.2 compares these four thermo chemical paths for biomass conversion. It also shows the typical range of their reaction temperatures. Combustion involves high-temperature conversion of biomass in excess air into carbon dioxide and steam. Gasification, on the other hand, involves a chemical reaction in an oxygen-deficient environment. Pyrolysis takes place at a relatively low temperature in the total absence of oxygen. In liquefaction, the large feedstock molecules are decomposed into liquids having smaller 24 CHAPTER I RENEWABLE ENERGY molecules. This occurs in the presence of a catalyst and at a still lower temperature. Tab.I Tab.I.3 presents a comparison of the thermo chemical and biochemical routes for biomass conversion. It shows that the biochemical route for ethanol production is more commercially developed than the thermo chemical route, but the former requires sugar or starch for feedstock; it cannot use lignocellulosic stuff. As a result, a larger fraction of the available biomass is not converted into ethanol. For example, in a corn plant only the kernel is used for production. The Stover, stalk, roots, and leaves, which are ligno-cellulosic, are left as wastes. Even though the enzymatic or biochemical route is more developed, this is a batch process and takes an order of magnitude longer to complete than the thermo chemical process. In the thermo chemical route, the biomass is first converted into syngas, which is then converted into ethanol through synthesis or some other means. Fig.I Fig.I.6: .6: Two biochemical routes for production of ethanol from (noncellulosic) sugar (a) and (cellulosic) biomass (b). 25 CHAPTER I RENEWABLE ENERGY j) Combustion: Combustion: Combustion represents perhaps the oldest utilization of biomass, given that civilization began with the discovery of fire. The burning of forest wood taught humans how to cook and how to be warm. Chemically, combustion is an Fig.I Fig.I.7: .7: Thermo chemical routes for production of energy, gas, and ethanol. Comparison of four major Thermo chemical conversion processes Temperature pressure Process (C°) (MPa) Catalyst Drying Liquefaction 250-330 5-20 Essential Not required Pyrolysis 380-530 0.1-0.5 Not required Necessary Combustion 700-1400 >0.1 Not required Not Essential May help Gasification 500-1300 >0.1 Not Essential Necessary Tab.I Tab.I.2: .2: Comparisons of four major thermo chemical conversions processes. Most biomass is burned for cooking and heating, however, it can also be converted into electricity and liquid fuel. Under sustainable forest conditions in both temperate and tropical ecosystems, approximately 3 dry metric tons (t/ha) per year of woody biomass can be harvested sustainable. 26 CHAPTER I RENEWABLE ENERGY Although this amount of woody biomass has a gross energy yield of 13.5 million kcal/ha, it requires an energy expense of approximately 33 L of diesel fuel per ha, plus the embodied energy for cutting and collecting wood for transport to an electric power plant. Thus, the energy input per output ratio for a woody biomass system is calculated to be 1:22. The cost of producing 1 kWh of electricity from woody biomass is about $0.06, which is competitive with other electricity production systems that average 0.07 $ in the U.S. Approximately 3 kWh of thermal energy is expended to produce 1 kWh of electricity, an energy input/output ratio of 1:7. Per capita consumption of woody biomass for heat in the United States amounts to 625 kg per year. In developing nations, use of diverse biomass resources (wood, crop residues, and dung) average about 630 kg per capita. Developing countries use only about 500 L of oil equivalents of fossil energy per capita compared with nearly 8,000 L of oil equivalents of fossil energy used per capita in the United States. Woody biomass could supply the United States with about 5 quads (1.5 * 1012 kWh thermal) of its total gross energy supply by the year 2050, provided there was adequate forest land available. A city of 100,000 people using the biomass from a sustainable forest (3 t/ha per year) for electricity would require approximately 200,000 ha of forest area, based on an average electrical demand of slightly more than 1 billion kWh (860 kcal = 1 kWh). Environmental impacts of burning biomass are less harmful than those associated with coal, but more harmful than those associated with natural gas. Biomass combustion releases more than 200 different chemical pollutants, including 14 carcinogens and 4 co-carcinogens, into the atmosphere. Globally, but especially in developing nations where people cook with fuel wood over open fires, approximately 4 billion people suffer from continuous exposure to smoke. In the United States, wood smoke kills 30,000 people each year. However, the pollutants from electric plants that use wood and other biomass can be controlled. [ 8] k) Biogas: Wet biomass materials can be converted effectively into usable energy using anaerobic microbes. In the United States, livestock dung is normally gravity fed or intermittently pumped through a plug-flow digester, which is a long, lined, insulated pit in the earth. Bacteria break down volatile solids in the manure and convert them into methane gas (65%) and CO2 (35%). A flexible liner stretches over the pit and collects the biogas, inflating like a balloon. The biogas may be used to heat the digester, to heat farm buildings, or to produce electricity. A large facility capable of processing the dung from 500 cows costs nearly 300,000 $. The Environmental Protection Agency estimates that more than 2000 digesters could be economically installed in the United States. The amount of biogas produced is determined by the temperature of the system, the microbes present, the volatile solids content of the feedstock, and the retention time. A plug Management of micro grids flow digester with an average manure retention time of about 16 days under winter conditions (17.4◦C) produced 452,000 kcal/day and used 262,000 kcal/day to heat the digester to 35◦C. Using the same digester during summer conditions (25◦C) but reducing the retention time to 10.4 days, the yield in biogas was 524,000 kcal/day and it used 157,000 kcal/day for heating the digester. The energy input per output ratios for these winter and summer conditions for the digester were 1:1.7 and 1:3.3, respectively. The energy output of biogas digesters is similar today. In developing countries such as India, biogas digesters typically treat the dung from 15 to 30 cattle from a single family or a small village. The resulting energy produced for cooking saves forests and preserves the nutrients in the dung. 27 CHAPTER I RENEWABLE ENERGY The capital cost for an Indian biogas unit ranges from 500 $ to 900 $. The price value of a kWh biogas in India is about 0.06 $. The total cost of producing about 10 million kcal of biogas is estimated to be 321 $, assuming the cost of labor to be $7/h; hence, the biogas has a value of $356. Manure processed for biogas has fewer odors and retains its fertilizer value. [ 9] B / - Wind Power For many centuries, wind power has provided energy to pump water and to run mills and other machines. Today, turbines with a capacity of at least 500 kW produce most of the commercially wind generated electricity. Operating at an ideal location, one of these turbines running at 30% efficiency can yield an energy output of 1.3 million kWh per year. An initial investment of approximately 500,000 $ for a 500kW capacity turbine operating at 30% efficiency will yield an input/output ratio of 1:4 over 30 years of operation. During the 30-year life of the system, the annual operating costs amount to about 50,000 $. The estimated cost of electricity generated is 0.07 $ per kWh. Some report costs ranging from 0.03 $ to 0.05 $ per kWh. In the United States, 2502 megawatts (MW) of installed wind generators produce about 6.6 billion kWh of electrical energy per year. The American Wind Energy Association estimates that the United States could support a capacity of 30,000MW by the year 2010, producing 75 billion kWh per year at a capacity of 30%, or approximately 2% of the annual US electrical consumption. If all economically feasible land sites are developed, the full potential of wind power is estimated to be about 675 billion kWh. Off shore sites could provide an additional 102 billion kWh, making the total estimated potential of wind power 777 billion kWh, or 23% of current electrical use. Widespread development of wind power is limited by the availability of sites with sufficient wind (at least 20 kilometers per hour [km/h]) and the number of wind machines that the site can accommodate. An average area for one 50kW turbine is 1.3 ha to allow sufficient spacing to produce maximum power. Approximately 9,500 ha of land are needed to supply 1 billion kWh per year. Because the turbines themselves only occupy approximately 2% of the area, most of the land can be used for vegetables, nursery stock, and cattle. However, it may be impractical to produce corn or other grains because of the heavy equipment used in this type of farming. An investigation of the environmental impacts of wind energy production reveals a few hazards. Locating the wind turbines in or Management of micro grids near the flyways of migrating birds and wildlife refuges may result in birds flying into the supporting towers and rotating blades. For this reason, it is suggested that wind farms be located at least 300 meters (m) from nature reserves to reduce their risk to birds. The estimated 13,000 wind turbines installed in the United States kill an estimated 2,600 birds per year. Choosing a proper site and improving repellant technology with strobe lights or paint patterns might further reduce the number of birds killed. Bat fatalities are another serious concern. It is projected that by 2020 annual bat fatalities caused by wind turbines will range from 33,000 to 62,000 individuals annually. Most bat fatalities are from species that migrate long distances and are tree roosting. Eastern U.S wind turbines installed along forested ridge tops have the highest rate of bat kills, ranging from 15.3 to 41.1 bats per MW of installed capacity per year. Monitoring for bat and bird fatalities and research for the reduction of these should be included in all wind energy planning. The rotating magnets in the turbine electrical generator produce a low level of electromagnetic interference that can affect television and radio signals within 2–3 km of large installations. Fortunately, with the widespread use of cable networks or line-of-sight microwave satellite transmission, both television and radio are unaffected by this interference. The noise caused by rotating blades is another unavoidable side effect of wind turbine operation. 28 CHAPTER I RENEWABLE ENERGY Beyond 2.1 km, however, the largest turbines are inaudible even downwind. At a distance of 400 m, the noise level is estimated to be about 60 decibel, corresponding roughly to the noise level of a home air-conditioning unit. Bat fatalities are another serious concern. [11] B / 11- Types of turbine: There are two main categories of wind mills according to the geometrical provision of the tree on which is mounted propeller: a. Wind turbines with horizontal axis; b. Wind turbines with vertical axis. - Wind turbines with horizontal axis - Wind turbines with vertical axis. Fig. Fig.I.7: I.7: Types of turbine. B / 22- How Wind Power Works: Wind is created when sunlight heats air, causing temperature and pressure differentials, which, in turn, cause air to flow one way or the other. For centuries, people have been capturing some of this energy with windmills-towers with blades turned by the wind to produce a force useful for grinding grain or pumping water. More recently, engineers have figured out how to connect really big blades to generators to produce electricity. A typical utility - scale turbine is 150 feet high with a rotor diameter (the span of the blades) of 120 feet, while a top - of - the - line model might be three times that size. The world ’ s biggest turbine, the Enercon E - 126, is 453 feet tall and has a rotor blade width of 413 feet. It produces more than 7 megawatts, enough electricity to power 2,100 U.S. homes. Not bad for a single windmill. Some turbines operate at a constant speed and produce the most power when the wind blows steadily within a given range. Others are designed to operate with variable wind. Each design has a unique “power curve” that governs the relationship of its output to various wind speeds. Because the wind is intermittent even in the best spots, a typical wind turbine will have a load factor of only 30 to 40 percent, meaning that it will generate power for around one - third of a given day. But its fuel source is free, which offsets the downtime. 29 CHAPTER I RENEWABLE ENERGY Because load factor is crucial to a turbine’s profitability, matching the turbine and the site is the key to building a profitable wind farm. As a result, site selection has become a science, with industry experts the wind equivalent of petroleum engineers measuring historical wind patterns and analyzing topography for a sense of how much wind a turbine in a certain spot can expect. A good turbine site also requires soil stable enough to hold these massive structures and access for the earth - moving equipment, trucks, and cranes necessary to deliver and set them up. It should be close enough to the grid to make connection affordable. And it must be free of neighbors who object to giant towers spoiling their view. Juggling all of these considerations produces a long list of offsetting costs and benefits: Offshore sites are fl at and frequently have steady, strong wind, but they’re far from the grid and hard to set up and maintain. Isolated plains have cheap land and frequently good wind but are also far from the grid. Areas near population centers offer good grid access but expensive land and frequently touchy neighbors. But where wind works, it works beautifully. Large turbines can be installed for about 2 $per watt, or 2 $ million per megawatt, which enables a well - sited turbine to generate power for 0.04 $to 0.06 $ per kWh, a price that is competitive with natural gas and coal. And that’s before governments start penalizing the latter two for their carbon emissions. Then wind’s cost advantage becomes very real and very big. Here are some of its other advantages: - Wind turbines leave most of the area they cover open for other uses. Cattle and sheep, for instance, can happily graze on a wind farm. - They’re safe. Because the blades are far aboveground, they don’t threaten people. Wind power organizations like to claim that their turbines have never injured a member of the general public. - They’re reliable. Early turbines broke down frequently, but today’s models have an expected working life of 20 to 25 years and require very little maintenance. - The price of wind never changes. Coal, oil, and natural gas prices surged in 2007, while the wind, as always, and were free. [10] In addition to the growing economic attractiveness of wind energy, there are major ecological arguments for its use: 1. Wind-power plants emit absolutely no CO2, by far the major pollutant when fuels (other than hydrogen or biomass) are burned. 2. The operation of wind turbines leaves behind no dangerous residues as do nuclear plants. 3. Decommissioning costs of wind turbines are much smaller than those of many other types of power plants, especially compared with those of nuclear generators. 4. Land occupied by wind farms can find other simultaneous uses such as in agriculture. [5] 30 CHAPTER I RENEWABLE ENERGY C / - Photovoltaic Systems: Photovoltaic cells have the potential to provide a significant portion of future U.S. and world electrical energy. Photovoltaic cells produce electricity when sunlight excites electrons in the cells. The most promising photovoltaic cells in terms of cost, mass production, and relatively high efficiency are those manufactured using silicon. Because the size of the unit is flexible and adaptable, photovoltaic cells can be used in homes, industries, and utilities. However, photovoltaic cells need improvements to make them economically competitive before their use can become widespread. Test cells have reached efficiencies of about 25%, but the durability of photovoltaic cells must be lengthened and current production costs reduced several times to make their use economically feasible. Production of electricity from photovoltaic cells currently costs about 0.25 $ per kWh. Using mass produced photovoltaic cells with about 18% efficiency, 1 billion kWh per year of electricity could be produced on approximately 2,800 ha of land, and this is sufficient electrical energy to supply 100,000 people. Locating the photovoltaic cells on the roofs of homes, industries, and other buildings would reduce the need for additional land by an estimated 20% and reduce transmission costs. However, because storage systems such as batteries cannot store energy for extended periods, photovoltaic require conventional backup systems. The energy input for making the structural materials of a photovoltaic system capable of delivering 1 billion kWh during a life of 30 years is calculated to be approximately 143 million kWh. Thus, the energy input per output ratio for the modules is about 1:7. The major environmental problem associated with photovoltaic systems is the use of toxic chemicals, such as cadmium sulfide and gallium arsenide, in their manufacture. Because these chemicals are highly toxic and persist in the environment for centuries, disposal and recycling of the materials in inoperative cells could become a major problem. [ 8] C / 11- Examples of Communities Using Solar/PV: There are many examples of these types of home developments: o Premier Homes, in Sacramento, California, in conjunction with the utility district, built 95 homes designed to save 60% on utility bills. o Solar Village, Prospect New Town, Longmont, Colorado, is a mixed use green built village of condos, lofts, flats, a yoga studio, ice cream parlor, and a high-end restaurant. It includes solar assisted radiant floor heating, efficient lighting and appliances, passive solar design, and energy efficient building materials. It claims electric and gas bills that average 20 $ per month because of these efficient and renewable features. o Chula Vista, California Research Initiative. The goal of this research initiative is to develop a model process and designs for energy-efficient community development from initial planning to final build-out for three new communities. Each design will seek to maximize opportunities for the integration of renewable energy; distributed generation; demand response technologies; energy efficiency in 31 CHAPTER I RENEWABLE ENERGY residential, commercial, industrial, and institutional structures; and in supporting municipal infrastructure and services. Additionally, the designs will feature smart growth land use planning and green building design elements that will maximize the performance of these technologies while reducing the urban heat island effect and emissions of greenhouse gases and regulated pollutants. o Army Hawaii Family Housing (AHFH) at Schofield Barracks, Oahu, Hawaii. Actus Lend Lease developer, in partnership with the Army, is installing enough photovoltaic panels on the homes to generate 7 MW of electricity, in addition to solar hot water and other aspects of energy efficiency. The photovoltaic panels will offset approximately 30% of the communities’ electrical needs. When completed the 2.3 $ billion Army Hawaii Family Housing community will include 5,388 new homes and the renovation of 2,506 existing homes in seven sites around Oahu. This was initiated by the “Military Housing Privatization Initiative” (MHPI) in an effort to provide a better quality of life for service members and their families. According to the office of the Under Secretary of Defense, soldier retention is 15% higher for those stationed on installations with superior housing and community life. D / - Geothermal Systems: Geothermal energy uses natural heat present in Earth’s interior. Examples are geysers and hot springs, like those at Yellowstone National Park in the United States. Geothermal energy sources are divided into three categories: hydrothermal, geo-pressured-geothermal, and hot dry rock. The hydrothermal system is the simplest and most commonly used for electricity generation. The boiling liquid underground is produced using wells, high internal pressure drives, or pumps. In the United States, nearly 3,000 MW of installed electric generation comes from hydrothermal resources, and this is projected to increase by 4,500MW. Most of the geothermal sites for electrical generation are located in California, Nevada, and Utah. Electrical generation costs for geothermal plants in the West range from 0.06 $ to 0.30 $/kWh, suggesting that this technology offers potential to produce electricity economically. The US Department of Energy and the Energy Information Administration project that geothermal electric generation may grow three- to fourfold during the next 20–40 years. However, other investigations are not as optimistic and, in fact, suggest that geothermal energy systems are not renewable because the sources tend to decline over 40–100 years. Existing drilling opportunities for geothermal resources are limited to a few sites in the United States and world. Potential environmental problems of geothermal energy include water shortages, air pollution, waste effluent disposal, subsidence, and noise. The wastes produced in the sludge include toxic metals such as arsenic, boron, lead, mercury, radon, and vanadium. Water shortages are an important limitation in some regions. Geothermal systems produce hydrogen sulfide, a potential air pollutant; however, this could be processed and removed for use in industry. Overall, these environmental costs of geothermal energy appear to be minimal relative to those of fossil fuel systems. [11] 32 CHAPTER I RENEWABLE ENERGY D / 11- How Geothermal Works: Let’s start with the somewhat disturbing theory that the earth is a big nuclear reactor. At its core, the decay of naturally occurring isotopes under immense pressure produces temperatures of around 7,000 degrees Fahrenheit. This heat radiates outward through a semi molten mantel, eventually diminishing enough to allow a solid crust to form. From our vantage point here on the surface, the further down you go, the hotter it gets. Start drilling on a cold winter day in Siberia, and by the time the drill bit travels a few miles, it’s hot enough to boil water. This heat mostly stays down there where it belongs. But every once in a while, a crack forms in the crust, and rainwater seeps down until it meets superheated rock, at which point it vaporizes and rises through a different set of cracks to the surface. The result is a geyser like Yellowstone’s Old Faithful or the type of hot spring around which resorts are built. But sometimes hot water doesn’t make it all the way to the surface and gets trapped by a layer of impermeable rock, where it becomes a “geothermal reservoir.” Drill into it and steam and/or hot water capable of running a turbine is released. Such reservoirs are being discovered all over the world, but like I said, they’re most common in tectonically active places like Iceland and along the Pacific Rim’s “Ring of Fire.” An Italian prince named Piero Ginori Conti is generally credited with building the first geothermal power plant in Italy in 1913. The first geothermal plant in the United States was built in 1962 at Geysers Field in northern California, which is still the world’s largest producing geothermal field. The original technology is still in use, though the future belongs to some newer variants. Here’s an overview of the main forms of geothermal power. [11] D / 2 - Advantages of Geothermal: Here’s a concise listing of geothermal many benefits: • - It’s very clean. Binary cycle plants produce virtually no pollution. • - Its available 24/7. Unlike wind and solar, which are intermittent, a geothermal plant can run continuously, generating baseline power, making it direct competition for coal. • - Because most of the action is underground, geothermal plants have small physical and environmental footprints. This makes them relatively easy to guide through the permitting process. There are geothermal plants operating successfully in cornfields, tropical forests, and, as you just read, tourist resorts. They could theoretically be sited in the middle of cities, with no adverse pollution or other consequences. • - The ability to site a geothermal plant close to end users cuts transmission costs, further improving its economics. • - The technology is well understood and easy to mass produce, so a geothermal plant can be installed more quickly than, say, a wind farm, where turbines are on a waiting list. • - It’s relatively inexpensive. At $ 3 to $ 4 per rated watt, geothermal is comparable to wind and coal and considerably cheaper than solar. And because it has a higher load factor (it runs continuously while solar is down when the sun sets), a geothermal power plant produces far more electricity than a similarly rated PV system. 33 CHAPTER I • RENEWABLE ENERGY - It’s very low maintenance. With low - temperature binary plants, “There are no pressurized steam loops to worry about, so they can be unmanned.” [11] E / - Nuclear Energy: [5] Chemical fuels, such as oil or methane, release energy when the atoms in their molecules are rearranged into lower energy configurations. The energies involved are those of molecular binding and are of the order of tens of MJ/kg. When the components of an atom are arranged into lower energy configurations, then the energy released is orders of magnitude larger (hundreds of TJ/kg) because of the much larger intra-atomic binding energies. The internal structure of atoms can be changed in different ways: i. An atomic nucleus can be bombarded with a neutron, absorbing it. A different atom emerges. ii. An atom can spontaneously change by emitting either electrons (beta-rays) or helium nuclei (alpha-rays). Such radioactive decay releases energy, which can be harvested as, for instance, it is done in Radioisotope Thermal Generators (RTGs). iii. Atoms with large atomic numbers can be made to break up into smaller atoms with the release of energy. This is called nuclear fission and requires that the atomic number, Z, be larger than 26. iv. Atoms with low atomic numbers can be assembled into a heavier one, releasing energy. This is called nuclear fusion and requires that the final product have an atomic number smaller than 26. Currently, only two techniques are used to produce energy from nuclear sources: the RTG mentioned above and nuclear fission reactors. But, nuclear energy has developed a bad reputation, especially after the Chernobyl accident in 1986. Nevertheless, it is a source of substantial amounts of energy in many countries. According to the Energy Information Administration, EIA, EIA since 1998, the number of nuclear plants in the United States has remained unaltered at 104. Nevertheless, there has been a 2% per year secular increase in the generation of nuclear electricity owing mostly to an improvement of the plant utilization factor from 78.2% in 1998 to over 94% in 2007. It appears that after 2008, a number of new reactors may be purchased. In 2007, the United States led the world in installed capacity-104 GW-followed by France (63 GW) and Japan (47.6 GW). The utilization factor of nuclear plants that year was excellent. In the United States, it was over 94%, in France, 77.5%, and in Japan, 68.9%. Of the total electricity generated, nuclear plants in the United States (2008) contributed a relatively modest 19.9%, while in France, heavily reliant on this form of energy, the contribution was 76.1%. In Japan, it was 34.6%. In 2000, Germany decided to phase out its 19 nuclear power plants. Each one was assigned a 32-year life after which they would be deactivated. Many plants have already operated more than half of their allotted lifetime. 34 CHAPTER I RENEWABLE ENERGY The cost of nuclear electricity is high, about double that from fossil fuel. In the United States (1996), it was 7 cents/kWh, whereas that of a state of the art natural gas plant was 3 cents/kWh. Advanced reactor designs may bring these costs down considerably while ensuring greater safety. This promised reduced cost combined with the ecological advantage of no greenhouse gas emission a growing concern may lead to a renewed popularity for nuclear generators. The major objection to fission-type reactors is not so much the danger of the operation of the power plants (the Chernobyl accident was perfectly avoidable), but rather the problem of disposing of large amounts of long lived radioactive by-products. If the need for such disposal can be avoided, then there is good reason to reconsider fission generators as an important contributor to the energy supply system, especially if they are not restricted to the use of the rare 236U fuel the way present-day reactors are. Specifications of new-generation nuclear fission reactors might include (not necessarily in order of priority), the following items: 1. 2. 3. 4. 5. 6. Safety of operation (including resistance to terrorist attacks) Affordability Reliability Absence of weaponizable sub products Absence of long-lived waste products Ability to transmute long-lived radioactive waste products from old reactors into shortlived radioactive products. The U.S. Department of Energy is funding research (2004) in technologies that might realize most of these specifications. One of these is the heavyheavy-metal fast breeder reactor technology. It appears that this type of reactor may be able not only to produce waste with relatively short half-lives (100 years contrasted with 100,000 years of the current waste), but in addition may be able to use current-type waste as fuel. Furthermore, because heavy-metal reactors operate at high temperatures (yet at low pressures), the thermolytic production of hydrogen or use in fuel celldriven automobiles looms as a good possibility. The waste disposal problem is absent in fusion devices. Unfortunately, it has been impossible to demonstrate a working prototype of a fusion machine, even after several decades of concerted research. To do even a superficial analysis of the technical aspects of nuclear reactions, we need to know the masses of the atoms involved (see Table I.3). The listed values for the masses of the nucleons (the proton and the alpha in the table) are nearly the values of the masses of the corresponding atoms minus the mass the electron(s). On the other hand, there is a large difference between the mass of a nucleon and the sum of the masses of the component protons and neutrons. Indeed, for the case of the alpha, the sum of the two protons and the two neutrons (4.03188278 daltons) exceeds the mass of the alpha (4.001506175 daltons) by 0.030376606 daltons about 28MeV of mass. This is, of course, the large nuclear binding energy necessary to overcome the great electrostatic repulsion between the protons. 35 CHAPTER I RENEWABLE ENERGY E / 1 - Fission: There are at least four fissile elements of practical importance: 233U, 235U, 239Pu, and 241Pu. Of these, only 235U is found in nature in usable. Tab.I Tab.I.3: Masses of Some Particles Important to Nuclear Energy Particle Symbol Mass(daltons†) Mass (kg) Mass(daltons ) electron e 0.00054579903 9.1093897 * 10−31 muon · μ 1.883566 * 10−28 0.1134381 proton 1.672648 * 10−27 p 1.007276467 neutron n 1.008664909 1.6749286 *10−27 H 1.673533967 * 10−27 1.007825032 D 3.344496942 * 10−27 2.014101778 T 5.008271031 * 10−27 3.016049278 He 5.008237888 * 10−27 3.016029319 He 6.646483555 * 10−27 4.002603254 alpha α 4.001506175 6.644661810 * 10−27 Li 8.323524107 * 10−27 5.01254 Li 9.988353127 * 10−27 6.015122794 Li 1.165035751 * 10−26 7.01600455 B 1.662688428 * 10−26 10.012937 B 1.82814 * 10−26 11.009305 The dalton is not yet the official name for the atomic mass unit. Tab.I Tab.I.4 Uranium Isotopes: Isotope 238U 235U 234U Abundance (%) 99.283 0.711 0.005 Lifetime (years) 4.5 * 109 7.1 *108 2.5 * 105 Quantities; 233U, 239Pu, and 241Pu must be created by transmutation of “fertile” materials, respectively, 232Th, 238U and 240Pu. The 240Pu element must itself be created artificially from 239Pu. Uranium isotopes cover the range from 227 to 240 daltons, but natural uranium contains only a small percentage of the fissile material: It is estimated that the Western world has reserves of uranium oxide (U3O8) amounting to some 6 * 109 kg, but only 34 * 106 kg are fissile, corresponding to an available energy of 2600 EJ. Compare this with the 40,000 EJ of available coal energy. Nuclear fission reaction occurs when a fissile material interacts with neutrons. Consider 235U: + 10 n→ . (I.1) The resulting 236U decays with the emission of alpha particles (lifetime 7.5 seconds). More importantly, the uranium also suffers spontaneous fission; that is, under the proper circumstances, absorbs a neutron, and the resulting atom splits into smaller nuclei simultaneously releasing, on average, 2.5 neutrons and about 3 *10−11 joules of energy: 36 CHAPTER I RENEWABLE ENERGY + Per kilogram of TJ/kg. → 2 .5 + fission products + 3 * 10−11 J. (I.2) U, the energy released is 3 * 10−11 J atom * 6 *1026 atoms kmol 235 kg Kmol = 77 However, the situation is somewhat more complicated than suggested by the equation above because more energy and additional neutrons are produced by the radioactive decay of the fission products. These additional neutrons are called delayed neutrons. neutrons Compare this with chemical reactions that involve energies of the order of a few tens of MJ/kg. When Otto Hahn, demonstrated uranium fission in 1939, it became immediately obvious that a sustained “chain” reaction might be achievable all that was needed was to cause one of the emitted neutrons to split a new uranium atom. Using natural uranium, this proves difficult because of the small percentage of the fissile 235U. The emitted neutrons have a much greater probability of being absorbed by the abundant 238U-the reaction simple dies out. The solution is to “enrich” the uranium by increasing the percentage of 235U. This is a complicated and expensive process because one cannot use chemistry to separate the two isotopes since they are chemically identical. Any separation method must take advantage of the minute mass difference of the two isotopes. If the enrichment is carried out far enough, you can build a nuclear bomb. Reactors in the United States use uranium typically enriched to 3.7%; this is insufficient to sustain a chain reaction. An additional trick must be used. Neutrons resulting from a 235U fission are high-energy particles (some 1 MeV), and their absorption cross section is about the same for both uranium isotopes. However, slow thermal neutrons (say at 0.05 eV) happen to be absorbed much more readily by the fissile uranium than by the more stable isotope. Thus, some of the emitted neutrons have to be slowed down by making them move through a low atomic mass substance called a moderator. moderator Graphite or water will do. If water is used as a coolant and heat extraction medium, then it contributes to the moderation process. Fast neutrons may be absorbed by impurities in the fuel or in the moderator. Of course, is a major “impurity” in the fuel; it absorbs 37 CHAPTER I RENEWABLE ENERGY Fig.I.8: Fig.I.8: This photo shows scientist Melissa Douglas and part of the Z machine, an inertial-electrostatic confinement fusion apparatus at Sandia National Laboratories. In the device, giant capacitors discharge through a grid of tungsten wires finer than human hairs, vaporizing them. The tungsten ions implode inward at a million miles an hour. Braking strongly in the grip of a “Z-pinch,” they emit powerful x-rays that compress a deuterium pellet, causing collisions between the deuterium atoms that lead to fusion events. F/ Micro Grids: Introduction: Modern power network owners have to respond to a number of challenges such as significant load changes and growth in the geographical distribution of the customers. On the other hand, the environmental policy and economic requirements from the market are constantly growing. The presence of these problems has led to an increased interest in the local renewable energy generation at the distribution level. The Micro grid (MG) concept assumes a cluster of loads and micro sources operating as a single controllable system that provides both power and heat to its local area. Not much is known about Micro grid behavior as a whole system. Some models exist which describe the components of the Micro grid. Currently models of a Diesel Engine, a Fuel Cell, a Micro turbine, a Wind turbine, a Photovoltaic cell, and Battery storage have been developed. In this work, a generalized formulation is introduced to determine the optimal operating strategy, the goal to minimize the operating costs as well as the reduction of the emission costs and level for a Micro Grid. To solve such a management problem it is first formulated as a nonlinear constrained cost optimization problem. Since the management problem poses a number of simultaneous objectives and constraints a Multi objective optimization problem is formulated by considering the emission level reduction. A daily income from sold power and cost to be paid to the utility of the purchased power is added to the problem. The model takes also into consideration the reduction of emissions caused by NOX, SO2 and CO2. The optimization is aimed to minimize the operating costs of the system, while constraints are adjusted to meet the customer demand and the safety of the system. 38 CHAPTER I RENEWABLE ENERGY F / 1 - Definition of Micro Grids: Micro-Grids are small electrical distribution systems that connect multiple customers to multiple distributed sources of generation and storage. Micro-grids are typically characterized by multipurpose electrical power services to communities with populations ranging up to 500 households with overall energy demands ranging up to several thousand kWh per day and are connected via low voltage networks. These hybrid systems have the potential to provide reliable power supply to remote communities where connection to transmission supply is uneconomic. A number of demonstration projects have been undertaken in the Greek islands with this type of system. *** The Micro grid (MG MG) MG concept assumes a cluster of loads and micro sources operating as a single controllable system that provides both power and heat to its local area. This concept provides a new paradigm for defining the operation of distributed generation. The MG study architecture is shown in Fig.I.9 Fig.I.9. I.9. It consists of a group of radial feeders, which could be part of a distribution system. There is a single point of connection to the utility called point of common coupling (PCC PCC). PCC Feeders 1 and 2 have sensitive loads which should be supplied during the events. The feeders also have the micro sources consisting of a photovoltaic (PV PV), WT), FC), PV a wind turbine (WT WT and fuel cell (FC) FC) a micro turbine (MT MT), DG), MT a diesel generator (DG DG and battery storage. The third feeder has only traditional loads. The static switch (SD SD) is used to island feeders 1 and 2 from the utility when SD events happen. The fuel input is needed only for the DG, FC, FC and MT as the fuel for the WT and PV comes from nature. To serve the load demand, electrical power can be produced either directly by PV, WT, DG, MT, MT or FC. FC The diesel oil is a fuel input to a DG, DG whereas natural gas is a fuel input to fuel processor to produce hydrogen for the FC. FC The gas is also the input to the MT. The use of DG, DG or FC or MT with other fuel types can be modeled by changing the system parameters to reflect the change in the fuel consumption characteristics. Each component of the MG system is separately modeled based on its characteristics and constraints. The characteristics of some equipment like wind turbines and diesel generators are available from the appropriate manufacturers. Each of the local generation unit has a local controller (LC LC). LC This is responsible for local control that corresponds to a conventional controller (ex. Automatic Voltage Regulator (AVR AVR) AVR or Governor) having a network communication function to exchange information between other LCs and the upper central controller to achieve an advanced control. The central controller also plays an important role as a load dispatch control center in bulk power systems, which is in charge of distributed generator operations installed in MG. MG [ 12] 39 CHAPTER I RENEWABLE ENERGY Fig. I. 9: Micro Grid Architecture. Furthermore, the central controller is the main interface between the upper grid and the Micro grid. The central controller has the main responsibility for the optimization of the Micro grid operation, or alternatively, it coordinates the actions of the local controllers to produce the optimal outcome. MG technologies are playing an increasingly important role in the world’s energy portfolio. They can be used to meet base load power, peaking power, backup power, remote power, power quality, and cooling and heating needs. Customers usually own small scale, on-site power generators, but they may be owned and operated by a third party. If the distributed generator does not provide 100% of the customer’s energy needs at all times, it can be used in conjunction with a distributed energy storage device or a connection with the local grid for backup power. The MG resources support and strengthen the central-station model of electricity generation, transmission, and distribution. The diagram depicted in Fig.I.9 Fig.I.9 shows how the grid looks after the addition of distributed resources. Although the central generating plant continues to provide most of the power to the grid, the distributed resources meet the peak demands of local distribution feeder lines or major customers. Computerized control systems, typically operating over telephone lines, 40 CHAPTER I RENEWABLE ENERGY make it possible to operate the distributed generators as dispatch able resources that generate electricity as needed. Fig.I.10 Fig.I.10 shows a demonstration system, which has been running successfully on the Greek island of Kytnos since April 2001. [12] Fig. I.10 I.10: 10: Example of MG on Kytnos Island (PV MORE and MODE projects.). F / 2 - Reasons for Micro grids: grids: The conventional arrangement of a modern large power system offers a number of advantages. Large generating units can be made efficient and operated with only a relatively small number of personnel. The interconnected high voltage transmission network allows the generator reserve requirement to be minimized, the most efficient generating plant to be dispatched at any time, and bulk power to be transported large distances with limited electrical losses. The distribution network can be designed for unidirectional flows of power and sized to accommodate customer loads only. However, over the last few years a number of influences have combined to lead to the increased interest in MG schemes and. The policy drivers encouraging MGs are: 1. 2. 3. 4. 5. Reduction in gaseous emissions (mainly CO2). Energy efficiency or rational use of energy. Deregulation or competition policy. Diversification of energy sources. National and global power requirements. Other reasons listed but with additional emphasis on commercial considerations such as: - Availability of modular generating plants. - Ease of finding sites for smaller generators. - Short construction times and lower capital costs of smaller plants. - Generating may be sited closer to load, which may reduce transmission costs.[ 12] 41 CHAPTER I RENEWABLE ENERGY F / 3 - Management of Micro grid Significant research is currently carried out regarding the operation and control of Micro grids. A novel management system is proposed, considering the following objectives: [12] 1. 2. 3. 4. Optimal use of local distributed resources; Feeding of local loads; Reducing the operating cost; Minimizing the emission level. 42 Sustainable Development Environmental Optimization of the Energy in an Electrical Network. CHAPTER II SUSTAINABLE DEVELOPMENT II. 1 Sustainable development in ecological economics The notions of ‘sustainable development’ and ‘sustainability’ are interpreted in various ways. This has become most clear perhaps in the field of ecological economics, where different disciplines have offered particular perspectives on these notions. Ecological Economics (EE EE) EE was founded at the end of the 1980s. It integrates elements of economics and ecology, as well as of thermodynamics, ethics, and a number of other natural and social sciences to provide for an integrated and biophysical perspective on environment–economy interactions. EE expresses the view that the economy is a subsystem of a larger local and global ecosystem that limits physical growth of the economy. At the same time, it is critical of the dominant paradigm of (environmental and resource) economics, characterized by rational agents and equilibrium thinking. Instead, EE is characterized by the use of physical (material, energy, chemical, biological) indicators and comprehensive, multidisciplinary systems analysis. Both features are consistent with the fact that sustainable development, generally seen as an important dimension of performance of the overall systems level, occupies a central position in the study of EE. All intellectual founders and antecedents of EE have written extensively about sustainable development, even if not using this particular terminology.[13] II.2 What is Sustainable Development? Sustainable development has been defined in many ways, but the most frequently quoted definition is from Our Common Future, also known as the Brundtland Report "Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. It contains within it two key concepts: • The concept of needs, needs in particular the essential needs of the world's poor, to which overriding priority should be given; and • The idea of limitations limitations imposed by the state of technology and social organization on the environment's ability to meet present and future needs." All definitions of sustainable development require that we see the world as a system a system that connects space; and a system that connects time. When you think of the world as a system over space, you grow to understand that air pollution from North America affects air quality in Asia, and that pesticides sprayed in Argentina could harm fish stocks off the coast of Australia. And when you think of the world as a system over time, you start to realize that the decisions our grandparents made about how to farm the land continue to affect agricultural practice today; and the economic policies we endorse today will have an impact on urban poverty when our children are adults. 43 CHAPTER II SUSTAINABLE DEVELOPMENT We also understand that quality of life is a system, too. It's good to be physically healthy, but what if you are poor and don't have access to education? It's good to have a secure income, but what if the air in your part of the world is unclean? And it's good to have freedom of religious expression, but what if you can't feed your family? The concept of sustainable development is rooted is this sort of systems thinking. It helps us understand ourselves and our world. The problems we face are complex and serious and we can't address them in the same way we created them. But we can address them. It's that basic optimism that motivates IISD's staff, associates and board to innovate for a healthy and meaningful future for this planet and its inhabitants. II.3 Definitions The concept has included notions of weak sustainability, strong sustainability and deep ecology. Sustainable development does not focus solely on environmental issues. In 1987, the United Nations released the Brundtland Report, Report which defines sustainable development as 'development which meets the needs of the present without compromising the ability of future generations to meet their own needs.' The United Nations 2005 World Summit Outcome Document refers to the "interdependent and mutually reinforcing pillars" of sustainable development as economic development, social development, and environmental protection. Indigenous peoples have argued, through various international forums such as the United Nations Permanent Forum on Indigenous Issues and the Convention on Biological Diversity, that there are four pillars of sustainable development, the fourth being cultural. The Universal Declaration on Cultural Diversity further elaborates the concept by stating that "...cultural diversity is as necessary for humankind as biodiversity is for nature”; it becomes “one of the roots of development understood not simply in terms of economic growth, but also as a means to achieve a more satisfactory intellectual, emotional, moral and spiritual existence". In this vision, cultural diversity is the fourth policy area of sustainable development. 44 CHAPTER II SUSTAINABLE DEVELOPMENT FIG. II.1: A representation of sustainability showing how both economy and society are constrained by Environmental limits. FIG. II.2: Scheme of sustainable development: at the confluence of three constituent parts. Sustainable Development (SD SD) CSR) SD) and, more broadly, Corporate Social Responsibility (CSR CSR cannot be ignored in current research on management science and management theory. In the field of strategic management, concerns regarding SD are even more acute due to its integration into the general design of overall company policy. Indeed, the development development of such a strategy is incomplete if social and environmental responsibility is not taken into account as a crucial element of a company’s decision-making decision making process. Therefore, owing to the impact of strategy on the economic performance of the firm, the the process of designing and enforcing SD/CSR strategies has become a major focus of empirical investigation and theoretical reflection.[14] reflection [14] 45 CHAPTER II SUSTAINABLE DEVELOPMENT II.4 Climate Change: II.4.1 Introduction: Climate change has been considered a fact for over a decade, following the proof of rising CO2 levels, rising Earth’s temperatures, melting of glaciers, etc. The consequences can be observed in many regions in daily life, by events such as more frequent or stronger flooding of rivers, increased storms and snowfall, cloudbursts, as well as drought, and desertification. The reason for climate change, natural or anthropogenic, has been under discussion for a long time. There is no doubt that mankind contributes to climate change through activities connected with emissions of climatically relevant gases. For example, use of fossil fuels with high emissions of carbon dioxide and other climate gases, especially in transportation and traffic, industrial production and application of substances (which are climate gases of extreme high warming potentials), agricultural activities (such as animal husbandry and rice cultivation) leading to emissions of methane or nitrous oxide, and methane emissions from landfills caused by ineffective waste management, etc. To control the situation, reduction measures of climate gases and other relevant actions, are urgently necessary on all levels. This is understood by the public and by policy makers. Climate related activities thus are high ranking on the political agenda. They are implemented into the political programmers’ on UN level, internationally and single countries, but also on communal levels by climate initiatives of cities or NGOs. NGOs Examples are the so-called Kyoto Protocol reducing climate gas emissions in industrialized countries, bans of halogenated hydrocarbons, shifting of energy sources from fossil to renewable and international CO2-emission trading. It is but obvious, that the efforts must be strengthened, to reduce the risks of a dangerous interference with the climate system. [15] II.4.2 Observed Climate Variability and Change: One of the most obvious characteristics of climate is its variability, especially in areas with strong gradients of climate zones, e.g. in the semi-arid tropics and in higher mid-latitudes. The mean temperature of one of the coldest days in July and one of the warmest in December in Hamburg do not differ. The rain in parts of the Northern Sahel from one year to the next may differ by more than a factor 3. Therefore climate – as the synthesis of weather – is not only characterized by averages of parameter values but also by their frequency distributions (fig. fig.II fig.II. II. 3). Although strong deviations from the average value are rare, they get most of the attention because they represent weather extremes to which our infrastructures are often not well adapted. As Figure II.3 also clarifies, new extremes on the side to which the distribution is shifted must accompany climate change. The only exception would be the case with a strongly narrowing frequency distribution (what has not been observed). Do we already observe manifestations of climate change? 46 CHAPTER II SUSTAINABLE DEVELOPMENT Yes, there are numerous ones, besides the obvious mean global near surface air temperature increase over the recent 150 years (fig. fig.II.4 fig.II.4). II.4 These are (only examples): • • • • • • • • • • Accelerated mean retreat of mountain glaciers worldwide, Strong decrease of multi-year sea ice in the Arctic Ocean (-7 percent per decade since 1979 when satellite observations began), Reduced snow cover over North America, less pronounced over Eurasia, More rain per event in nearly all areas with slightly decreasing, constant or increasing total precipitation, Reduced daily temperature amplitude which can be caused by higher water vapor content, increased cloudiness and higher atmospheric turbidity, Mean global sea level rise, about 1.5 to 2.0 mm/a in the 20th century, recently increased to ~3 mm/a, as observed by satellite altimeter measurements since 1991, Increased yearly precipitation in most high latitude areas, decreased yearly precipitation in the semi-arid subtropics, Decreased temperatures in the stratosphere and mesosphere, Increased vegetation period length (about 2 weeks) in the Northern Hemisphere higher latitudes, Changed optical properties of clouds caused by air pollution. In the present rapid climate change era single evaluations of very long time series are therefore partly misleading as the recent decades might have shown a changed frequency distribution of a climate parameter, e.g. rain amounts per event. Therefore subsections of long time series have to be evaluated separately. [15] Fig.II.3 Fig.II.3: II.3: Schematic frequency distribution of climate parameters both for present climate and changed climate. Also a broadened distribution for a changed climate is shown (Grassl, 2002). 47 CHAPTER II SUSTAINABLE DEVELOPMENT Fig.II.4: Fig.II.4: Global mean near surface air temperature since 1856 (Meteorological Office of the United Kingdom). II.4.3 Carbon in the Atmosphere: How much carbon is there in the atmosphere? The surface area of Earth is 510 * 1012 m2, while the scale height of the atmosphere is around 8800 m. Consequently, The volume of air (all of it compressed to 1 atmosphere pressure) is: 510 * 1012 * 8800 = 4.5 * 1018 m3. Present-day atmospheric CO2 concentration is 13.5 × 10−6 kmol/m3. The atmosphere contains 13.5* 10−6 * 4.5* 1018 = 61* 61* 1012 kmol of CO2 and, Therefore, 61* 61* 1012 kmol of carbon. Since the atomic mass of carbon is 12 daltons, The mass of carbon in the atmosphere is 0.73 * 1015 kg. Compare with the 0.825 * 1015 kg of the table. A simpler way to achieve about the same result is to consider that the atmospheric pressure at sea level is 1 kg/cm2 or 104 kg/m2. Consequently, the total mass of the atmosphere is 510* 510* 1012 ×104 = 510* 510* 1016. − 6 Of this, 360* 360* 10 is carbon dioxide and 12/44 is carbon. The carbon content of the atmosphere is 510 * 1016 * 365 * 10−6 * 12/ 12/44 = 0. 0.51 * 1015 kg, a result comparable with the previous one.[16] II.4.4 Climate change and climate protection, indicators: The first thing to state is that climate change is primarily caused by CO2 emissions arising in the conversion and consumption of energy. Of course, other important aspects such as the destruction of rain forests or the emission of methane due to agriculture must also be included. Today it is recognized almost everywhere in science and politics that the world total emissions of CO2 must be reduced as fast as possible. There are difficulties for the emerging and developing countries resulting from the agreements (such as that of Kyoto) that intend to implement reductions in per-capita CO2 emissions relative to the present (or a past) point in time. For obvious reasons, such reductions are unacceptable for these countries. Their accusation, that the present 48 CHAPTER II SUSTAINABLE DEVELOPMENT situation results from the behavior of the industrialized nations, and that the emerging and developing countries must have the same opportunities to develop, has to be accepted as justified. Consequently the per-capita CO2 emission value is not a suitable general target for short- and medium-term efforts because it does not take account of countries' differing development states. It makes sense as a long-term goal and 1 t CO2 per capita and year is certainly worth having as a long-term target. A better grip on the problem results if the benchmark or guideline value is not the CO2 emissions per capita, but a value relative to an indicator that is a good representation of the development state of the country. The only quantity that is collected world-wide and meets this requirement to some extent is the Gross Domestic Product (GDP GDP), GDP at purchasing-power parity, despite the shortcomings associated with this quantity as an indicator of prosperity. Finding and establishing a better one would be a task for the Guild of Economists. In 2007, the CO2 emissions value expressed in g CO2/$ purchasing-power parity GDP was 435 g CO2/year/year-2007 $. This indicator can be determined as the product of two factors: the energy intensity of the GDP and the CO2 intensity of the energy. The first one characterizes the efficiency of the use of energy, and the second one the CO2 sustainability of the energy employed. These factors are of equal significance and fundamental for climate protection. [17] The crisis in the world of finance and economics is significantly reducing the scope for an ambitious environment policy aimed at containing global warming, but it also opens up some opportunities. In many countries the Gross Domestic Product will decrease, at least for a time. This will result in a temporarily reduced demand for energy, despite price reductions that unfortunately cause false incentives. Thereby, some time is gained in which to consider sensible energy-policy actions and to put them into practice systematically. There is no alternative to climate protection. Particularly in this crisis, it is important for the world to become more aware that the costs of prevention by means of active climate protection will be very much lower than the world-wide damage that could result from global warming. This damage can only partially be avoided by employing solely, and often selfishly, adaptation strategies. It is important to have clearly stated goals and to promote cooperation, especially among the industrialized and emerging nations, but also including the developing countries. Indicators that are reasonable and, above all, accepted, are a prerequisite for negotiations. It is to be hoped that the United Nations Climate Change conference, in Copenhagen in 2009, will create a better understanding of these questions in the industrialized countries and the countries of the third world. II.4.5 Objectives and indicators: indicators: The climate goals can be formulated relatively easily. Climate studies show that by 2030, the world-wide emission of CO2 by the energy economy must be stabilized at 2004 levels and halved by 2050. This would enable a limitation of the CO2 concentration in the atmosphere to at most 400 ppm and the mean temperature rise of the planet to about 2°C. [17] 49 CHAPTER II SUSTAINABLE DEVELOPMENT II.4.6 GHG emission overview: overview: Direct GHG emissions from fossil energy related activities are mainly caused by the direct greenhouse gases CO2, CH4 and N2O. The majority come from fossil fuel combustion with CO2 as the primary gas emitted in an amount of about 27,100 Mio t CO2-eq. eq per year on a global scale, of which 39.1, 23.2 and 37.6 percent are from coal, oil and gas, respectively. The total amount of CO2 which was emitted during the last 150 years is estimated to be about 1,100,000 Mio t! The contribution of the national economies is very diverse in total, structure, and in per capita numbers, which is documented by the following selected data: • The United States contribute by about 22 percent to the global energy related CO2 emissions. Energy related activities accounted for over 85 percent of the country’s total emissions (in 2005), where CO2 emissions account for nearly 82 percent compared to only 4 percent of non-CO CO2emissions. 98, 38, 38 and 11 percent of the nation’s CO2, CH4 and N2O emissions, respectively, is included in this number. U.S. power plant GHG emissions total 2,650 Mio t CO2-eq. • Africa's fossil-fuel CO2 emissions are low in both absolute and per capita terms. They were below 900 Mio ton of CO2-eq. eq in 2002. Per capita emissions are only about 5 percent of the comparable value for North America. Fuels account for 15.6 percent. The emissions are mostly due to the activities of only a few countries, amongst them South Africa which accounts for 40 percent of the continental total. Another 44 percent share is from Egypt, Algeria, Nigeria, Libya, and Morocco, combined. Power in South Africa largely depends on coal burning. • In Asia from 1971 to 1995 an eightfold increase in coal burning for electricity generation in the industrializing countries occurred. The trend continues, and India and China will be responsible for 75 percent of the increased global coal consumption. By 2025, nearly 60 percent of all coal will be burned in Asia-Pacific. As a consequence, the region’s CO2 emissions are predicted to double. In Thailand the total consumption of fossil fuels is about 232 Mio t CO2-eq. annually (in 2002). The consumption more than doubles every 10 years. In addition to emissions which are directly related to the use of fuels, greenhouse gases are released by energy related activities such as mining and production, transmission, storage, and distribution. These emissions mostly originate from fugitive methane from natural gas and petroleum systems, and coal mining. During these processes, CO2 as a direct greenhouse gas, as well as the indirect greenhouse gases such as CO, NOx, NMVOCs, and SO2 are emitted, but in smaller quantities. Emissions can be allocated to end use sectors, such as transportation, industry, residential and commercial. • For nuclear power stations, indirect GHG emissions are estimated by 8 to 120 g CO2-eq./kWhel. The number depends on concrete conditions. A global mean value is below 40 CO2-eq./kWhel which is in the range of renewable sources. For German nuclear power stations a mean value of 32 g CO2-eq./kWh is estimated compared to Russia and USA with 65 and 62 g CO2-eq./kWh, respectively. This is more than the emissions of a highly efficient modern local power station for electricity production from natural gas using waste heat for district heating which is emitting 49 g CO2eq./kWh. 50 CHAPTER II SUSTAINABLE DEVELOPMENT • For photovoltaic cells indirect GHG emissions of about 100 to 350 g CO2-eq./kWh were established due to the very high production. Moreover real costs of CO2 avoidance have to be considered. In case of photovoltaic’s costs are estimated at about EUR 1,000 per ton of CO2 avoided as compared with EUR 40 to 45 for power stations and 20 to 30 for waste to energy plants. • Geothermal energy is also not CO2 neutral, since small quantities of CO2 are normally released from the geological formations tapped for this energy form. • For hydropower stations emissions from the water reservoir must be taken into account. In the reservoir, the organic matter is decomposed under anaerobic conditions, which results in methane production. The productivity depends on local climate conditions; it is much higher in warmer regions, but in general it is considered a serious problem.[15] 51 CHAPTER II SUSTAINABLE DEVELOPMENT II.4.7 CO2 EMISSIONS FROM FUEL COMBUSTION :[18] Table II.1: CO2 emissions: Sectoral Approach: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 14096.3 15 692.7 18 071.3 18 644.0 20 964.8 21 793.7 23 496.5 27 129.1 28 024.0 28 945.3 29 381.4 0.1% Algeria 8.7 14.0 28.4 43.2 51.7 55.6 62.4 78.5 81.7 85.7 88.1 70.5% United States 4 291.3 4 360.8 4 661.6 4 545.7 4 868.7 5 138.7 5 698.1 5 771.7 5 684.9 5 762.7 5 595.9 14.9% Asia 434.1 533.7 720.4 921.0 1 280.8 1 694.9 2 137.5 2 604.5 2 738.5 2 893.8 3 022.8 136.0% Africa 265.7 332.1 408.3 477.1 545.6 598.2 686.3 823.4 841.3 873.2 889.9 63.1% Middle East 129.1 192.3 343.7 490.4 592.5 803.8 979.9 1 245.0 1 319.2 1 399.6 1 492.3 151.8% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. Table II.2: CO2 emissions: Sectoral Approach - Coal/peat: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 5 199.2 5 607.2 6 568.6 7 377.2 8 310.3 8 538.5 8 822.6 11 012.6 11 695.2 12 224.8 12 595.3 51.6% United States 1 078.7 1 196.4 1 400.7 1 625.5 1 797.4 1 896.4 2 125.1 2 123.7 2 093.3 2 118.1 2 085.7 16.0% Algeria 0.4 0.3 0.2 1.0 1.3 1.4 0.7 1.0 1.0 1.2 1.2 -6.2% Africa 160.7 190.0 193.7 208.4 235.5 254.2 276.8 301.1 302.1 309.8 304.3 29.2% Middle East 0.8 3.9 3.6 10.1 11.0 19.3 28.7 34.3 34.5 36.5 33.8 207.4% Asia 231.9 276.2 343.6 481.6 621.6 756.0 956.2 1 247.9 1 354.9 1 455.1 1 548.5 149.1% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. Table II.3: CO2 emissions: Sectoral Approach – Oil: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 6 837.8 7 800.3 8 730.2 8 097.5 8 806.3 9 076.7 9 883.2 10 689.9 10 764.2 10 899.9 10 821.0 22.9% United States 2 023.0 2 108.4 2 181.2 1 976.0 2 041.8 2 053.5 2 280.8 2 432.8 2 388.6 2 362.7 2 227.3 9.1% Algeria 5.9 9.1 14.8 20.5 23.0 21.8 24.1 30.6 31.7 34.3 36.1 57.2% Africa 99.7 133.2 188.4 222.5 247.7 264.8 300.1 367.5 373.1 390.8 407.8 64.6% Middle East 102.5 150.4 272.2 376.8 418.8 533.0 614.6 733.9 771.1 797.6 850.2 103.0% Asia 192.0 241.2 348.2 383.0 548.1 746.7 914.5 971.2 981.5 1 017.1 1 026.8 87.3% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. 52 CHAPTER II SUSTAINABLE DEVELOPMENT Table II.4: CO2 emissions: Sectoral Approach – Gas: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 2 058.3 2 281.2 2 767.3 3 161.3 3 808.1 4 105.7 4 696.8 5 334.8 5 465.1 5 715.0 5 861.5 53.9% United States 1 189.5 1 056.1 1 079.7 944.2 1 011.3 1 160.2 1 254.9 1 189.7 1 174.7 1 253.0 1 257.5 24.3% Algeria 2.4 4.6 13.4 21.7 27.4 32.4 37.6 46.9 48.9 50.2 50.8 85.2% Africa 5.2 9.0 26.3 46.2 62.4 79.2 109.4 154.8 166.1 172.6 177.8 185.0% Middle East 25.8 38.1 67.9 103.6 162.7 251.6 336.7 476.7 513.6 565.5 608.2 273.8% Asia 10.2 16.3 28.7 56.4 111.1 192.1 265.7 383.2 399.9 419.3 445.3 300.7% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. Table II.5: CO2 emissions: Reference Approach: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 14 617.9 16 160.3 18 666.0 19 310.9 21 523.4 22 107.7 23 744.1 27 614.7 28 479.8 29 327.7 United States 4 275.1 4 382.7 4 763.0 4 609.9 4 860.4 5 118.5 5 676.2 5 843.9 5 764.3 5 850.8 Algeria 9.8 15.0 29.0 46.4 55.3 60.0 66.8 79.9 86.4 91.9 Africa 245.5 303.0 405.0 545.7 601.4 687.0 753.2 903.5 927.9 969.3 Middle East 131.0 182.7 351.7 490.0 569.9 811.2 976.3 1 264.9 1 336.1 1 421.0 Asia 439.3 539.3 740.0 949.6 1 313.1 1 774.4 2 166.4 2 693.4 2 803.6 2 960.5 29 938.6 39.1% 5 684.1 16.9% 92.4 67.2% 995.6 65.5% 1 511.6 165.2% 3 083.9 134.9% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. Table II.6: CO2 emissions from international marine bunkers: 1971 1975 1980 1985 World 344.47 328.58 343.93 United States 23.34 33.54 89.20 Algeria 0.61 0.77 1.29 Africa 21.76 15.95 16.48 Middle East 56.17 38.79 30.42 Asia 14.39 15.42 20.61 1990 1995 291.73 354.77 55.26 90.68 1.16 1.36 13.70 16.49 44.02 28.93 20.58 44.66 2000 2005 2006 408.72 468.61 522.28 90.51 88.90 81.76 1.17 0.77 1.17 24.79 23.69 20.39 44.39 40.64 49.08 49.99 69.41 70.88 2007 2008 % change 90-08 556.62 589.09 578.20 88.16 95.96 71.87 1.07 1.09 1.01 18.30 18.94 17.82 52.93 59.95 64.49 83.03 92.40 108.66 63.0% -20.7% -25.8% 8.0% 122.9% 143.3% Table II.7 II.7: CO2 emissions from international aviation bunkers: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 World 168.94 173.44 201.28 224.03 258.22 287.81 354.42 421.57 436.25 446.59 United States 15.35 15.60 19.83 20.61 38.79 45.96 57.11 68.21 68.54 70.41 Algeria 0.29 0.66 0.93 1.31 1.09 0.96 1.17 1.16 1.14 1.12 Africa 4.93 6.90 10.62 11.22 11.40 13.29 17.12 17.17 17.78 19.25 Middle East 11.63 14.76 14.98 16.50 27.03 26.70 27.87 31.68 32.85 33.82 Asia 16.00 14.33 14.93 16.77 24.79 35.53 51.22 64.35 68.99 72.91 53 % change 90-08 454.85 70.58 1.25 20.37 35.36 71.61 76.1% 81.9% 14.8% 78.7% 30.8% 188.9% CHAPTER II SUSTAINABLE DEVELOPMENT Table II.8 II.8: CO2 emissions by sector in 2008 *: Total CO2 emissions from fuel combustion Other energy Industries Electricity and heat production World *** 29 381.4 11 987.9 United States 5 595.9 2 403.4 Algeria 88.1 24.0 Africa 889.9 384.4 Middle East 1 492.3 529.9 Asia 3 022.8 1 384.5 1 491.9 268.3 10.5 45.6 126.6 161.4 Manufacturing industries and construction 5 943.6 633.1 11.9 140.4 332.3 737.8 Transport 6 604.7 1 691.6 19.7 211.6 326.6 447.7 of which: road Other sectors 4 848.4 1 455.9 17.7 197.4 324.2 418.5 of which: residential 3 353.4 599.5 21.9 107.9 176.9 291.5 1 05.1 332.7 21.9 72.4 127.3 140.2 *** World includes international bunkers in the transport sector. Table II.9 II.9: CO2 emissions with electricity and heat allocated to consuming sectors * in 2008: Total CO2 emissions from fuel combustion World *** 29 381.4 United States 5 595.9 Algeria 88.1 Africa 889.9 Middle East 1 492.3 Asia 3 022.8 Other energy industries Manufacturing industries and construction Transport 2 051.6 336.8 11.0 55.5 142.2 168.5 10 743.2 1 220.0 19.5 308.3 432.8 1 361.6 6 760.3 1 696.2 20.0 215.6 326.8 460.8 of which: road Other sectors 4 848.4 1 455.9 17.7 197.4 324.2 418.5 of which: residential 9 826.4 2 343.0 37.6 310.7 590.4 1 032.0 5 215.5 1 160.0 37.6 190.0 345.3 486.7 *** World includes international bunkers in the transport sector. Table II.10 II.10: 10: Total primary energy supply: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 231 678 259 340 302 664 324 584 367 478 386 902 419 708 478 570 491 160 504 221 513 611 United States 66 464 69 231 75 558 74 278 80 177 86 550 95 180 97 086 96 156 97 827 95 615 Algeria 145 231 469 743 929 1 009 1 131 1 351 1 451 1 541 1 552 Africa 8 048 9 318 11 489 14 257 16 224 18 542 21 032 24 810 25 441 26 617 27 442 Middle East 2 068 2 843 5 358 7 531 9 175 13 029 15 847 20 821 22 044 23 386 24 855 Asia 13 363 15 490 19 430 23 509 30 167 37 607 44 487 53 061 54 802 57 277 59 050 39.8% 19.3% 67.0% 69.1% 170.9% 95.7% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. 54 CHAPTER II SUSTAINABLE DEVELOPMENT Table II.11 II.11: Total primary energy supply: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 5 533.5 6 194.2 7 229.0 7 752.6 8 777.1 9 241.0 10 024.5 11 430.4 11 731.2 12 043.1 12 267.4 39.8% United States 1 587.5 1 653.5 1 804.7 1 774.1 1 915.0 2 067.2 2 273.3 2 318.9 2 296.6 2 336.5 2 283.7 19.3% Algeria 3.5 5.5 11.2 17.7 22.2 24.1 27.0 32.3 34.7 36.8 37.1 67.0% Africa 192.2 222.6 274. 4 340.5 387.5 442.9 502.3 592.6 607.7 635.7 655.4 69.1% Middle East 49.4 67.9 128.0 179.9 219.2 311.2 378.5 497.3 526.5 558.6 593.7 170.9% Asia 319.2 370.0 464.1 561.5 720.5 898.2 1 062.5 1 267.3 1 308.9 1 368.0 1 410.4 95.7% * Total world includes non-OECD OECD total, OECD total as well as international marine bunkers and international aviation bunkers. Table II.12 II.12: GDP using exchange rates: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World 12 936.2 14 985.8 18 137.9 20 539.7 24 228.8 27 190.7 32 150.1 36 849.3 38 300.7 39 783.7 40 481.5 67.1% United States 3 867.1 4 291.0 5 142.1 6 028.6 7 064.0 8 002.0 9 898.8 11 150.4 11 448.5 11 693.2 11 742.3 66.2% Algeria 17.5 26.1 35.3 44.6 46.4 47.0 54.8 69.6 71.0 73.1 75.3 62.4% Africa 264.7 299.1 376.9 414.8 462.8 498.4 596.5 743.3 786.5 832.5 876.2 89.3% Middle East 256.6 370.5 479.0 432.5 446.5 528.5 648.3 801.9 844.6 893.3 945.0 111.6% Asia 324.2 391.0 525.6 671.5 930.1 1 262.2 1 560.4 2 014.7 2 156.3 2 311.6 2 417.3 159.9% Table II.13 II.13: GDP using purchasing power parities: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World 17 540.3 20 644.2 25 098.3 28 668.5 33 357.0 37 830.0 45 761.1 55 438.1 58 465.7 61 747.9 63 865.8 91.5% United States 3 867.1 4 291.0 5 142.1 6 028.6 7 064.0 8 002.0 9 898.8 11 150.4 11 448.5 11 693.2 11 742.3 66.2% Algeria 51.8 77.4 104.5 132.2 137.3 139.1 162.3 206.0 210.2 216.5 222.9 62.4% Africa 775.2 882.6 1 074.8 1 190.0 1 340.6 1 431.5 1 710.2 2 122.0 2 244.6 2 373.7 2 499.1 86.4% Middle East 446.2 651.8 780.8 746.7 769.5 910.7 1 107.8 1 382.5 1 456.0 1 543.8 1 629.7 111.8% Asia 1 270.7 1 493.2 1 916.8 2 429.0 3 279.4 4 353.3 5 393.1 7 162.3 7 709.6 8 297.2 8 760.1 167.1% Table II.14 II.14: Population: 1971 1975 1980 1985 1990 1995 World 3 759.2 4 065.3 4 438.5 4 834.3 5 265.2 United States 207.7 216.0 227.7 238.5 250.2 Algeria 14.2 16.0 18.8 22.1 25.3 Africa 371.8 413.9 476.7 550.3 633.6 Middle East 67.5 77.1 92.3 111.8 131.6 Asia 1 057.8 1 163.8 1 305.6 1 453.4 1 613.4 2000 5 680.4 266.6 28.3 721.4 147.9 1 776.9 55 2005 2006 2007 2008 % change 90-08 6 074.0 6 458.6 6 534.5 6 610.5 6 687.9 27.0% 282.4 296.0 298.8 301.7 304.5 21.7% 30.5 32.9 33.4 33.9 34.4 35.9% 817.2 918.8 940.4 961.9 984.3 55.3% 165.9 185.7 190.0 194.2 198.5 50.9% 1 934.7 2 093.1 2 123.3 2 153.0 2 183.0 35.3% CHAPTER II SUSTAINABLE DEVELOPMENT Table II.15 II.15: CO2 emissions / TPES: 1971 1975 World * 60.8 60.5 United States 64.6 63.0 Algeria 59.6 60.7 Africa 33.0 35.6 Middle East 62.4 67.7 Asia 32.5 34.5 1980 1985 59.7 61.7 60.6 35.5 64.1 37.1 1990 1995 2000 57.4 57.1 56.3 61.2 60.7 59.4 58.1 55.6 55.1 33.5 33.6 32.3 65.1 64.6 61.7 39.2 42.5 45.1 2005 56.0 59.9 55.2 32.6 61.8 48.0 2006 56.7 59.4 58.2 33.2 59.8 49.1 2007 57.1 59.1 56.3 33.1 59.8 50.0 2008 57.4 58.9 55.6 32.8 59.8 50.5 % change 90-08 57.2 58.5 56.8 32.4 60.0 51.2 0.3% -3.6% 2.1% -3.6% -7.0% 20.6% * The ratio for the world has been calculated to include international marine bunkers and international aviation bunkers. Table II.16 II.16: CO2 emissions / GDP using exchange rates: 1971 1975 World * 1.09 1.05 United States 1.11 1.02 Algeria 0.49 0.54 Africa 1.00 1.11 Middle East 0.50 0.52 Asia 1.34 1.36 1980 1985 1.00 0.91 0.81 1.08 0.72 1.37 1990 0.91 0.75 0.97 1.15 1.13 1.37 1995 0.87 0.69 1.11 1.18 1.33 1.38 2000 0.80 0.64 1.18 1.20 1.52 1.34 2005 0.73 0.58 1.14 1.15 1.51 1.37 2006 0.74 0.52 1.13 1.11 1.55 1.29 2007 0.73 0.50 1.15 1.07 1.56 1.27 2008 0.73 0.49 1.17 1.05 1.57 1.25 % change 90-08 0.73 0.48 1.17 1.02 1.58 1.25 -16.1% -30.8% 5.0% -13.8% 19.0% -9.2% * The ratio for the world has been calculated to include international marine bunkers and international aviation bunkers. Table II.17 II.17: CO2 Emissions / GDP using purchasing power parities: 1971 1975 1980 1985 1990 World * 0.80 0.76 0.72 0.65 United States 1.11 1.02 0.91 0.75 Algeria 0.17 0.18 0.27 0.33 Africa 0.34 0.38 0.38 0.40 Middle East 0.29 0.30 0.44 0.66 Asia 0.34 0.36 0.38 0.38 1995 0.63 0.69 0.38 0.41 0.77 0.39 2000 0.58 0.64 0.40 0.42 0.88 0.39 2005 0.51 0.58 0.38 0.40 0.88 0.40 2006 0.49 0.52 0.38 0.39 0.90 0.36 2007 0.48 0.50 0.39 0.37 0.91 0.36 2008 % change 90-08 0.47 0.46 0.49 0.48 0.40 0.40 0.37 0.36 0.91 0.92 0.35 0.35 * The ratio for the world has been calculated to include international marine bunkers and international aviation bunkers. 56 -26.8% -30.8% 5.0% -12.5% 18.9% -11.6% CHAPTER II SUSTAINABLE DEVELOPMENT Table II.18 II.18: CO2 emissions / population: 1971 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 % change 90-08 World * 3.75 3.86 4.07 3.86 3.98 3.84 3.87 4.20 4.29 4.38 4.39 United States 20.66 20.19 20.47 19.06 19.46 19.28 20.18 19.50 19.02 19.10 18.38 Algeria 0.61 0.88 1.51 1.96 2.04 1.97 2.05 2.39 2.45 2.53 2.56 Africa 0.71 0.80 0.86 0.87 0.86 0.83 0.84 0.90 0.89 0.91 0.90 Middle East 1.91 2.49 3.72 4.39 4.50 5.44 5.91 6.70 6.94 7.21 7.52 Asia 0.41 0.46 0.55 0.63 0.79 0.95 1.10 1.24 1.29 1.34 1.38 10.3% -5.6% 25.4% 5.0% 66.9% 74.4% * The ratio for the world has been calculated to include international marine bunkers and international aviation bunkers. Table II.19: CO2 emissions per kWh from electricity and heat generation * 1990 World .. Algeria .. Africa .. Middle East .. Asia .. 1995 470 633 682 726 709 2000 2001 485 491 620 621 658 616 704 704 733 736 2002 2003 2004 2005 2006 2007 486 495 632 632 618 633 690 686 722 709 500 632 644 706 727 500 606 631 696 725 501 621 626 677 725 507 597 623 679 734 2008 502 596 619 687 751 Average 06-08 504 605 623 681 737 * CO2 emissions from fossil fuels consumed for electricity, combined heat and power and main activity heat plants divided by the output of electricity and heat generated from fossil fuels, nuclear, hydro (excl. pumped storage), geothermal, solar and biomass. Both main activity producers and auto producers have been included in the calculation of the emissions. Due to missing data for heat in 1990, the ratio for some countries and regions is not available. Table II.20: CO2 emissions per kWh from electricity and heat generation using coal/peat * Grammes CO2 / kilowatt hour 1990 World .. Algeria .. Africa .. Middle East .. Asia .. 1995 882 952 823 1 130 2000 2001 2002 2003 2004 2005 2006 2007 2008 877 896 880 889 910 908 911 902 898 966 894 888 906 932 907 887 895 895 827 829 836 838 830 830 865 867 864 1 117 1 118 1 081 1 090 1 127 1 145 1 141 1 164 1 194 Average 06-08 904 892 865 1 166 * CO2 emissions from coal consumed for electricity, combined heat and power and main activity heat plants divided by output of electricity and heat generated from coal. Both main activity producers and auto producers have been included in the calculation of the emissions. Due to missing data for heat in 1990, the ratio for some countries and regions is not available. 57 CHAPTER II SUSTAINABLE DEVELOPMENT Table II.21: CO2 emissions per kWh from electricity and heat generation using oil * 1990 World Algeria Africa Middle East Asia .. .. .. .. .. 1995 2000 587 1 178 883 811 787 662 863 886 793 824 2001 2002 2003 651 840 906 781 813 651 968 900 756 795 2004 2005 2006 651 869 844 783 806 665 948 871 794 791 647 961 854 803 770 660 864 901 748 817 2007 651 916 784 787 776 2008 651 914 802 785 788 Average 06-08 650 930 813 792 778 * CO2 emissions from oil consumed for electricity, combined heat and power and main activity heat plants divided by output of electricity and heat generated from oil. Both main activity producers and auto producers have been included in the calculation of the emissions. Due to missing data for heat in 1990, the ratio for some countries and regions is not available. Table II.22: CO2 emissions per kWh from electricity and heat generation using gas * World Algeria Africa Middle East Asia 1990 1995 2000 2001 2002 2003 2004 2005 2006 2007 .. .. .. .. .. 365 621 544 680 539 387 614 525 637 503 388 616 508 651 515 389 625 527 654 511 385 632 529 660 476 386 631 533 675 480 388 609 525 659 483 381 618 526 621 482 386 594 525 630 471 2008 391 594 528 626 476 Average 06-08 386 602 526 626 476 * CO2 emissions from gas consumed for electricity, combined heat and power and main activity heat plants divided by output of electricity and heat generated from gas. Both main activity producers and auto producers have been included in the calculation of the emissions. Due to missing data for heat in 1990, the ratio for some countries and regions is not available. Table II.23 II.23: 23: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: I n Algeria YEAR 1971 Coal/Peat 0,40 Oil 5,90 Gas 2,40 1975 0,30 9,10 4,60 1980 0,20 14,80 13,40 1985 1,00 20,50 21,70 1990 1,30 23,00 27,40 1995 1,40 21,80 32,40 2000 0,70 24,10 37,60 2005 1,00 30,60 46,90 2006 1,00 31,70 48,90 2007 1,20 34,30 50,20 2008 1,20 36,10 50,80 -6,20% 57,20% 85,20% % change 9090-08 58 CHAPTER II SUSTAINABLE DEVELOPMENT Milion tonnes of CO2 CO2 emissions by fuel in Algeria 100,00 90,00 80,00 70,00 60,00 50,00 40,00 30,00 20,00 10,00 0,00 Oil Gas Coal/Peat Years FIG.II.5: FIG. II.5: CO2 emissions by fuel in Algeria Table II.24 II.24: 24: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: In Africa YEAR 1971 Coal/Peat 160,70 Oil 99,70 Gas 5,20 1975 190,00 133,20 9,00 1980 193,70 188,40 26,30 1985 208,40 222,50 46,20 1990 235,50 247,70 62,40 1995 254,20 264,80 79,20 2000 276,80 300,10 109,40 2005 301,10 367,50 154,80 2006 302,10 373,10 166,10 2007 309,80 390,80 172,60 2008 304,30 407,80 177,80 % change 9090-08 29,20% 64,60% 185,00% Milion tonnes of CO2 CO2 emissions by fuel in Africa 1 000,00 900,00 800,00 700,00 600,00 500,00 400,00 300,00 200,00 100,00 0,00 Oil Gas Coal/Peat Years FIG.II. FIG. II.6 II.6: CO2 emissions by fuel in Africa 59 CHAPTER II SUSTAINABLE DEVELOPMENT Table II.2 II.25: CO2 emissions: Sectoral Approach - Coal/peat/ Oil and gas: In the World YEAR 1971 Coal/Peat Oil Gas 5 199,20 6 837,80 2 058,30 1975 5 607,20 7 800,30 2 281,20 1980 6 568,60 8 730,20 2 767,30 1985 7 377,20 8 097,50 3 161,30 1990 8 310,30 8 806,30 3 808,10 1995 8 538,50 9 076,70 4 105,70 2000 8 822,60 9 883,20 4 696,80 2005 11 012,60 10 689,90 5 334,80 2006 11 695,20 10 764,20 5 465,10 2007 12 224,80 10 899,90 5 715,00 2008 12 595,30 10 821,00 5 861,50 % change 9090-08 51,60% 22,90% 53,90% CO2 emissions by fuel in the World Milion tonnes of CO2 35 000,00 30 000,00 25 000,00 20 000,00 15 000,00 Oil 10 000,00 Gas 5 000,00 Coal/Peat 0,00 Years Fig.II.7: Fig.II.7: CO2 emissions by fuel in the World II.5.Discussion: II.5.Discussion: In 2008, 43% of CO2 emissions from fuel combustion were produced from coal, 37% from oil and 20% from gas. Growth of these fuels in 2008 was quite different, reflecting varying trends that are expected to continue in the future. Between 2007 and 2008, CO2 emissions from the combustion of coal increased by 3% and represented 12.6 Gt CO2. Currently, coal is filling much of the growing energy demand of developing countries. CO2 emissions from oil remained constant in 2008, decreasing 0.7% during the year. The decreasing share of oil in Total Primary Energy Supply (TPES TPES) TPES) as a result of the growth of coal and the penetration of gas limited the increase of CO2 emissions from oil, which produced 10.8 Gt CO2 in 2008. The emissions from oil will grow to 13.6 Gt CO2 in 2030. 60 CHAPTER II SUSTAINABLE DEVELOPMENT Emissions of CO2 from gas in 2008 represented 5.8 Gt CO2, 2.6% higher than in the previous year. Again, the emissions from gas will continue to grow, rising to 8.0 Gt CO2 in 2030. Generation of electricity and heat was by far the largest producer of CO2 emissions and was responsible for 41% of the world CO2 emissions in 2008. Between 2007 and 2008, total CO2 emissions from the generation of electricity and heat were stable. CO2 emissions from gas grew by 3% and from coal remained constant while emissions from oil decreased by 4%. The future development of the emissions intensity of this sector depends strongly on the fuels used to generate the electricity and on the share of non-emitting sources, such as renewable and nuclear. By 2030, the demand for electricity will be almost twice as high as current demand, driven by rapid growth in population and income in developing countries, by the continuing increase in the number of electrical devices used in homes and commercial buildings, and by the growth in electrically driven industrial processes. Transport, the second-largest sector, represented 22% of global CO2 emissions in 2008. CO2 emissions in this sector also remained stable between 2007 and 2008. II.6.Conclusion: II.6.Conclusion: The sustainable development debate is based on the assumption that societies need to manage three types of capital (economic, social, and natural), which may be non-substitutable and whose consumption might be irreversible. 61 STUDY OF STANDARD NETWORK Environmental Optimization of the Energy in an Electrical Network. CHAPTER III STUDY OF STANDARD NETWORK III.1. Reliability of Supply: High reliability of supply is of fundamental importance as any major interruption of supply causes, at the very least, major inconvenience to the consumer, can lead to life-threatening situations and, for the industrial consumer, may pose severe technical and production problems. Invariably in such situations the electrical supply utility also incurs a large loss in financial revenue. High reliability of supply can be ensured by: High quality of installed elements; The provision of reserve generation; Employing large interconnected power systems capable of supplying each consumer via alternative routes; A high level of system security. III.2. Supplying Electrical Energy of Good Quality: Electrical energy of good quality is provided by: regulated and defined voltage levels with low fluctuations; a regulated and defined value of frequency with low fluctuations; Low harmonic content. Two basic methods can be used to ensure a high quality of electrical supply. Firstly the proper use of automatic voltage and frequency control methods and, secondly, by employing large, interconnected, power systems which, by their very nature, are less susceptible to load variations and other disturbances. III.3. Economic Generation and Transmission: The majority of electricity is generated by first converting the thermal energy stored in the fossil fuel into mechanical energy and then converting this mechanical energy into electrical energy for transmission through the power system to the consumer. Unfortunately the efficiency of this overall process is relatively low, particularly the first-stage conversion of thermal energy into mechanical energy. It is therefore vital that operation of the overall system is optimized by minimizing the generation and the transmission costs. Once again some saving can be achieved by connecting, and operating, a number of smaller systems as one larger, interconnected, system.[19] III.4. Environmental Issues: Modern society demands careful planning of generation and transmission to ensure as little effect as possible on the natural environment while meeting society’s expectations for a secure electrical supply. Consequently air and water pollution produced by power generation plants are limited to prescribed quantities while the pathways for transmission lines are planned so as to cause minimal disturbance to the environment. In addition, new plans for power stations and transmission lines are subject to close public scrutiny. 62 CHAPTER III STUDY OF STANDARD NETWORK Environmental issues are now playing an ever-increasing important role on the political agenda. Power generation has always been a major source of air pollution and much effort has been devoted to developing cleaner generation technologies. However, the relatively recent concerns about global warming and sustainability have started to change the way power systems operate and expand. It is estimated that power generation contributes about one-third of the global CO2 emissions so that many countries in the world have set a target for renewable generation to contribute 20% or more of their total energy production by about 2020. Another consequence of the environmental pressure is that power utilities must continually seek ways of making better use of their existing system. Obtaining planning permission for new transmission lines and generation sites has become more difficult and stringent. It is within this political and operational framework that an electrical power utility generates, transmits and distributes electrical energy to its consumers.[19]. III.5. Structure of the Electrical Power System: The basic structure of a contemporary electrical power system is illustrated schematically in Fig.III III.1 Fig. III.1 and shows the power system to be divided into three parts: generation, transmission and distribution. Historically the power supply industry tended to be vertically integrated with each utility responsible for generation and transmission and, in many cases, also distribution in its own service (or control) area. The main justification for this was economies of scale and scope. It was also thought that in order to optimize the overall power system planning and operation, a utility should be able to have full control of both transmission and generation, and sometimes also distribution. This situation has changed since the 1990s. In order to improve the overall efficiency of the industry, many countries have decided to introduce a liberalized competitive market for the industry. That has required unbundling, unbundling that is splitting, the vertically integrated utilities. In a typical liberalized model, the generation sector is divided into a number of private companies each owning individual power stations and competing with each other. The transmission tends to be operated by one Monopoly Company, referred to as the system operator, operator which is independent of the generation and regulated by an industry regulator. The distribution is also often split into separate distribution companies (wires businesses) which own and manage the distribution network in a given area, while retail, that is buying power on the wholesale markets and selling it to final customers, is handled by a number of competing supply companies. companies Customers are free to choose their suppliers, although in many countries that is restricted to industrial and commercial, but not domestic, customers. That reorganization of the industry has created many challenges to the way power systems are being planned and operated. [19] 63 CHAPTER III STUDY OF STANDARD NETWORK Fig.III Fig.III.1 III.1: .1: Structure of an electrical power system. Different parts of the power system operate at different voltages. Generally voltages can be considered to be low voltages if they are below the 1 kV marks, while medium voltages, voltages used in distribution systems, are typically between 1 and 100 kV. The high voltages used in sub transmission networks are between 100 and 300 kV and the extraextra-high voltages used in transmission networks are above 300 kV. This classification is loose and by no means strict. III.5.1 Generation: Traditionally power system operation has been based around a relatively small number of large power plants connected to the transmission system. Those plants are usually thermal or hydro plants in which electricity is produced by converting the mechanical energy appearing on the output shaft of an engine, or more usually a turbine, into electrical energy. The main thermal energy resources used commercially are coal, natural gas, nuclear fuel and oil. 64 CHAPTER III STUDY OF STANDARD NETWORK The conversion of mechanical to electrical energy in traditional thermal or hydro plants is almost universally achieved by the use of a synchronous generator. The synchronous generator feeds its electrical power into the transmission system via a step-up transformer (F Fig.III ig.III.1 III.1) .1 in order to increase the voltage from the generation level (10–20 kV) to the transmission level (hundreds of kilovolts). As mentioned earlier, concerns about global warming and sustainability have recently spurned interest in renewable generation. Generally there are three main ways the industry can reduce its CO2 emissions:[19] a) By moving from the traditional coal/gas/oil-based generation to renewable generation (wind, solar, marine); b) By moving towards increased nuclear generation which is largely CO2-free; c) By removing CO2 from exhaust gases of traditional thermal generation using for example carbon capture and storage technology. However, it is important to appreciate that the last two options retain the traditional structure of the power system, as that based around a relatively few large generating units, and would therefore not require major changes to the way power systems are designed and operated. The first option, however, would require a major shift to the current practices as generation would be increasingly based around a large number of small renewable plants. This is because renewable energy has a low energy density so that renewable power stations tend to be small with capacities of individual plants being between hundreds of kilowatts and a few megawatts. Such small plants are often connected at the distribution, rather than transmission, network due to the lower cost of connection. Such plants are referred to as distributed, or embedded, embedded generation. Wind plants usually use induction generators, fixed speed or double fed, in order to transform wind energy into electricity, although sometimes inverter-fed synchronous generators may be used. Solar plants can be either thermal or photovoltaic (PV PV) PV with an inverter feeding a synchronous generator. III.5.2 Transmission: One significant advantage of electrical energy is that large traditional plants can be constructed near the primary fossil fuel energy resource or water reservoirs and the electrical energy produced can be transmitted over long distances to the load centers. Since the energy lost in a transmission line is proportional to the current squared, transmission lines operate at high or very high voltages. The electrical network connects all the power stations into one system, and transmits and distributes power to the load centres in an optimal way. Usually the transmission network has a mesh structure in order to provide many possible routes for electrical power to flow from individual generators to individual consumers thereby improving the flexibility and reliability of the system. One cannot overemphasize the importance of transmission for overall power system integrity. The transmission network makes the power system a highly interacting, complicated mechanism, in which an action of any individual component (a power plant or a load) influences all the other components in the system. This is the main reason why transmission remains a monopoly business, even under the liberalized market structure, and is managed by a single system operator. 65 CHAPTER III STUDY OF STANDARD NETWORK The system operator is responsible for maintaining power system security and for optimizing power system operation. As the electrical energy gets closer to the load centre, it is directed from the transmission network into a sub transmission network. When a power system expands with the addition of new, highvoltage transmission lines some of the older, lower voltage lines may become part of the sub transmission network. There is no strict division of the network into transmission and sub transmission networks and smaller power generation plants may feed directly into the sub transmission network while bulk power consumers may be fed directly from the transmission or sub transmission network (Fig. Fig.III Fig.III.1 III.1). .1 III.5.3 Distribution: Most of the electrical energy is transferred from the transmission, or sub transmission, network to distribution high-voltage and medium-voltage networks in order to bring it directly to the consumer. The distribution network is generally connected in a radial structure as opposed to the mesh structure used in the transmission system. Large consumers may be supplied from a weakly coupled, meshed, distribution network or, alternatively, they may be supplied from two radial feeders with a possibility of automatic switching between feeders in case of a power cut. Some industrial consumers may have their own on-site generation as a reserve or as a by-product of a technological process (e.g. steam generation). Ultimately power is transformed to a low voltage and distributed directly to consumers. Traditionally, distribution networks have been passive, that is there was little generation connected to them. Recently the rapid growth in distributed and renewable generation has changed that picture. Power flows in distribution networks may no longer be unidirectional, that is from the point of connection with the transmission network down to customers. In many cases the flows may reverse direction when the wind is strong and wind generation high, with distribution networks even becoming net exporters of power. That situation has created many technical problems with respect to settings of protection systems, voltage drops, and congestion management and so on. Typically about 8–10% of the electrical energy appearing at the generator terminals will be lost on its way to the consumers in the transmission and distribution level. III.5.4 Demand: The demand for electrical power is never constant and changes continuously throughout the day and night. The changes in demand of individual consumers may be fast and frequent, but as one moves up the power system structure (Fig.III (Fig.III.1) III.1) from individual consumers, through the distribution network, to the transmission level, the changes in demand become smaller and smoother as individual demands are aggregated. Consequently the total power demand at the transmission level changes in a more or less predictable way that depends on the season, weather conditions, and way of life of a particular society and so on. Fast global power demand changes on the generation level are usually small and are referred to as load fluctuations. [19] 66 CHAPTER III STUDY OF STANDARD NETWORK A network has as a function to transport the power (or energy) since a source of production towards a center of consumption called load or receiver. The load is characterized by its voltage, its current, its impedance and its power-factor. Any electric system functioning under alternating voltage consumes energy in two forms, active energy and reactive energy, since the voltage and the current are seldom in phase. In sinusoidal mode, at the industrial frequency (50 Hz), φ:Dephasing between v and I ;( counted positively if the current is late on the voltage). Apparent power, provided by the source of production: S U. I III. 1 Impose dimensions of the generator and distribution or grid system. Only the active power, received by the load, is transformed into energy mechanical, thermal, luminous, etc. It is the useful output which a forward by the load and which is: P U. I. cos φ S cos φ III. 2 S sinφ III. 3 The reactive power, not used, is: Q U. I . sin φ III.6. Critical Infrastructures: The electric system functions under two principal types of constraints: constraint of supply of energy and constraints of operations. The first type imposes that all the consumers must be fed, while the second request that the variables of the system such as the frequency, the profile of voltage and the currents forwarded on the lines must always remain in the authorized limits.. The system is known as in normal circumstances circumstances if the constraints of supply of energy and the constraints of operation are satisfied. The system is known as in emergency state if the constraints of operation of the system are not satisfied. This situation can be caused by one or of the great disturbances which take along the variables of the system apart from their limits. If the actions of intervention of the manager of the network realized by the tools of control of the network or by the unballasting of the consumers are effective to bring back the variables of the system within the limits, the network is safeguarded and passed to the state of alert. alert If these corrective actions are not successful, the system is likely to collapse and pass in extreme state. state The system is known as in state of alert if the constraint of supply of energy is not entirely respected (part of the loads is not fed). The system is in extreme state if the two constraints are not satisfied. Several, even all the loads are not fed, i.e., it was of an interruption of service or a generalized power failure (partial blackout or total). 67 CHAPTER III STUDY OF STANDARD NETWORK The critical situations of the electric system indeed result from the changes of the normal state with worms three other states of operation. These changes take the origin of the major incidents, which can be caused by natural, technical causes and/or human, and involve finally the generalized rupture of service of energy in consumers. As the consequences of the absence of electricity are always dramatic for the life societal, as well for the economy as for safety, the study on the critical infrastructures plays a very significant role for any electric system. The aim of the study of the critical infrastructures consists in, initially, apprehending the mechanism of formation of the major incidents to identify the decisive causes which lead to the loss of the system. It is then thereafter that the development of the strategies and the procedures of defense and resumption of service will be installation. [20] III.7 III.7. Grid system IEEE New England 39 nodes: nodes: [20] The standard grid system IEEE New England 39 nodes; was connected to two distribution networks of the French type resulting from the simplified real networks: one is composed of 54 nodes, other 300 nodes, via a network of distribution. The grid system IEEE New England 39 represents a simplification of the grid system of the area New England (north-eastern of the United States). The topology of the network given on the figure: Fig. III.2: III.2: Grid system IEEE New ENgland 39 nodes. 68 CHAPTER III STUDY OF STANDARD NETWORK We suppose to have 10 generators: 5 nuclear of 1080 MW, 2 thermals of 1000 MW and 3 hydraulics of 615 MW. The total power in control system in normal circumstances is of almost 6181 MW and 1038 MVAR which are able to satisfy an overall consumption of 6142 MW and 1655 MVAR. The detailed state of production and consumption in the network is recapitulated in table; Tab. III. 1: 1: State of production and consumption of the grid system: consumption Node B30 B31 B32 B33 B34 B35 B36 B37 B38 B39 B3 B4 B7 B8 B18 B15 B16 B20 B21 B23 B24 B25 B26 B27 B28 B29 type hydraulics Nuclear Nuclear Nuclear Hydraulics Nuclear Hydraulics Thermal Thermal Nuclear Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Loads Total production production name GEN10 GEN2 GEN3 GEN4 GEN5 GEN6 GEN7 GEN8 GEN9 GEN1 B3 B4 B7 B8 B18 B15 B16 B20 B21 B23 B24 B25 B26 B27 B28 B29 P(MW) Q (MVAR) 9.2 4.6 1104 322 500 233.8 522 158 320 329 680 274 247.5 308.6 224 139 281 206 283.5 6 141.6 250 2.4 184 84 176 30 153 32.3 103 115 84.6 -92.2 197.2 17 75.5 27.6 26.9 1 655.3 69 P(MW) 250 660.78 650 632 508 650 560 540 830 1000 Q (MVAR) 91.92 157.83 140 42.38 218.23 152.83 31.70 -19.13 -67.71 116.36 6 280.78 1038.01 Inertia H (MWs/MVA) 3.5 2.525 2.9833 2.3833 2.166 2.9 2.2 2.025 2.875 2 CHAPTER III STUDY OF STANDARD NETWORK Tab. III. 2: 2: Characteristics of the generators: Parameters Apparent power (Mva) Nominal voltage (kV) Nominal output of the alternator (MW) Nominal output of the turbine (MW) Inertia (MWs/MVA) Resistance of the stator winding Reactance of the stator winding Axe d Synchronous reactance Transitory reactance Sub transitory reactance Transitory time-constant to vacuum Sub transitory time-constant to vacuum Axe q Synchronous reactance Transitory reactance Sub transitory reactance Transitory time-constant Sub transitory time-constant to vacuum Thermal Thermal 1150 20 1100 1000 6.3 0.004 0.219 Nuclear 1080 20 1080 1080 6 0.004 pu 0.22 pu Hydraulics 615 20 615 615 5.15 0.0001 pu 0.2396 pu 2.57 0.422 0.3 7.695 0.061 2.43 pu 0.393 pu 0.286 pu 10.1 s 0.044 s 0.8979 pu 0.2995 7.4 s - 2.57 0.662 0.301 0.643 0.095 1.7 pu 0.815 pu 0.307pu 0.736 s 0.27 s 0.646 pu - Time of starting of the generators: Tab. III.3: Time criticizes restarting of the thermal and nuclear generators: range of power fuel minimal generation hot (restart) synchronization Minimal load cold (restart) synchronization minimal load full load 20 MW Gas 110 MW Gas 235 MW Coal 275 MW oil 550 MW Coal 500 MW Coal 600 MW Coal 800 MW Coal 936 MW Nuclear 5 MW 0.1 h 25 MW 1.5 h 50 MW 6h 30 MW 1.5 h 180 MW 4h 150 MW 0.9 h 200 MW 4h 420 MW 4 h 400 MW 48 h 0h 0.1 h 0.1 h 6h 1h 7h 0.7 h 7h 1h 5h 0.5 h 12 h 0.5h 12 h 1.5 h 16 h 4.5 h 48 h 0h 0.1 h 0.5 h 1.5 h 1h 2h 1.7 h 1h 1h 1.5h 2h 2h 2h 2h 3h 1.5 h 4.5 h 10 h 70 CHAPTER III STUDY OF STANDARD NETWORK Characteristics of the transformers Step-up transformers of the power stations 20kV/400kV: Sn = 1300 Mva; Values reduced in the base S bases = 100 Mva and U bases = 400 kV are R = 0.000185 been able; X = 0.00789 been able. Characteristics of the lines: The lines are indicated by the name of the starting node and the name of the node of arrival. The values are presented in p.u on the basis of S base = 100 MW, U base= 400 kV. Tab.III.4. Tab.III.4. Characteristics of the lines of the grid system Line From B1 B1 B2 B2 B3 B3 B4 B4 B5 B5 B6 B6 B7 B8 B10 B10 B13 B14 B15 B16 B16 B16 B16 B17 B17 B19 B21 B22 B23 B25 B26 B26 B26 B28 B39 To B2 B39 B3 B25 B4 B18 B5 B14 B6 B8 B7 B11 B8 B9 B11 B13 B14 B15 B16 B17 B19 B21 B24 B18 B27 B20 B22 B23 B24 B26 B27 B28 B29 B29 B9 R PU 0.0030 0.0019 0.0011 0.0006 0.0016 0.0010 0.0009 0.0010 0.0002 0.0008 0.0007 0.0006 0.0003 0.0027 0.0003 0.0003 0.0007 0.0016 0.0007 0.0007 0.0014 0.0010 0.0004 0.0006 0.0013 0.0013 0.0010 0.0007 0.0026 0.0024 0.0011 0.0035 0.0046 0.0011 0.0019 X PU 0.0411 0.025 0.0151 0.0086 0.0213 0.0133 0.0128 0.0129 0.0026 0.0112 0.0092 0.0082 0.0046 0.0363 0.0043 0.0043 0.0101 0.0217 0.0094 0.0089 0.0195 0.0135 0.0059 0.0082 0.0173 0.0173 0.014 0.0096 0.035 0.0323 0.0147 0.0474 0.0625 0.0151 0.025 C/2 PU 0.8325 0.5064 0.3059 0.1742 0.4314 0.2694 0.2593 0.2613 0.0527 0.2269 0.1863 0.1661 0.0932 0.7353 0.0871 0.0871 0.2046 0.4395 0.1904 0.1803 0.3950 0.2734 0.1195 0.1661 0.3504 0.3504 0.2836 0.1944 0.7089 0.6542 0.2978 0.9601 1.2659 0.3059 0.5064 71 CHAPTER III STUDY OF STANDARD NETWORK III.8 III.8. Calculation CO2 emissions: CO2 emissions by the software: From 6 141 600 KWh we have 522 036 kg C02 Eq. (290,02 times what the land can support per person per year for stop the increase in greenhouse). The compensation of this quantity is: 10 440,72 € (1 493 022,96 DA) III.9 III.9. Integration of distributed generation: generation [20] Since the first appearance in Britain in 1990, the trend towards deregulation is becoming increasingly common worldwide, especially in developed countries. Moreover, the concern given to the environmental aspect and sustainable development has encouraged producers to develop distributed generation of electricity based on renewable energies and solutions for energyefficient. These developments are the two key factors that promote the introduction of many producers of small to medium sized networks with electrical voltage levels lower than in recent years. This new phenomenon can be positive and negative at a time. On the one hand, the integration of DG is presented as a factor for strengthening the means of production of the system. On the other hand, they also bring negative impacts to system-wide including the weakening in critical situations. III.9 III.9.1. Insertion of production decentralized like factor of reinforcement of means of production of the electric system: Integration of distributed generation as a factor for strengthening the means of production of electrical system new energy producers traditionally, the strengthening of the power generation is by the insertion of new production units in central transmission grid. In recent years, the trend of liberalization of the electricity market has favored the emergence of many producers in the power systems of lower voltage levels. We call these new producers by several names such as distributed generation, distributed power generation or dispersed energy generation, etc.. To define the sources of electrical energy production alternatives that are centrally located near the point’s consumption and disposed of installed capacity ranging from less than a kW to 50 MW. Technologies for distributed generation Conventional sources and renewable sources. are 72 currently divided into two groups: CHAPTER III STUDY OF STANDARD NETWORK III.9 III.9.1. 1/ Potential contributions of distributed generation: Strictly related to the aspects of economy, ecology and dynamics of these new producers, the benefits of the integration of DG in the electrical system are to remember, including: • The environmental aspect: aspect production based on renewable energies is less polluting than those based on fossil fuels and nuclear. For this reason, currently, the environmental aspect is an advantage of DG small and medium power, taking into account ecological reasons and the requirement of the Kyoto protocol on gas emissions to the effect of emissions. However, the emergence of large capacity wind farms in the future can become a source of pollution in terms of noise and changing landscapes due to the large space they occupy. In addition, to cope with fluctuations in wind generation, the system must increase excessively spinning reserve, and therefore indirectly increase emissions from the need to maintain conventional units in service. The mixed use of wind turbines and complementary with other types of DG; DG; as well as conventional sources should provide the solution for this. The time of construction of facilities: facilities For centralized production facilities must be from 7 to 10 years or more in the case of construction of large hydro or nuclear. However, the project to install distributed generation can be quite short (to less than 6 months). • The cost of installation and maintenance: maintenance For large centralized production, apart from the significant costs associated with construction proper installation, it also takes the additional costs of infrastructure specially built for the work required (roads, dedicated lines, etc.).. However, the cost of a proposed distributed generation can be accessible to small businesses, which promotes diversity in electricity generation and active competition. • The quick response to changes in local consumption: consumption The decentralized production of conventional type can be placed wherever there is a need for energy. Their applications in cogeneration can satisfy both the demand for electricity and heat, they can reduce losses, and possibly to delay investment to build the network infrastructure. • The primary energy prices: prices Here, decentralized production based on renewable energy take advantage before the production-based fossil fuels. Especially if you consider the price of fossil fuels in the current context where there is a threat of depletion of such relentless energy and an increase in oil prices in recent years. • The operational aspect: aspect as decentralized productions are often small and medium capacity, they are much more dynamic and fast to switch on power to the grid. 73 CHAPTER III STUDY OF STANDARD NETWORK III.9 III.9.2. Integration of distributed generation as a factor of vulnerability of the electrical system: The connection of distributed generation networks lower voltage (relative to the transmission system) provides economic and energy interests, but will be penalized in terms of system operation. The DG are mostly connected to the grid will be the first to be affected by this phenomenon. III.9 III.9.2.1/ Impacts of distributed generation on distribution network: There are several studies in the literature that have been made to identify and assess the impacts of distributed generation on the network, then, to propose solutions: The network operator is concerned about this type of study during the planning stage or approving a project for connecting the DG. The main impacts to recall are: Impact on the direction of power flow Impacts on voltage profile Impacts on system stability Impacts in terms of protection Impact on the observability and controllability of the system Impact on service continuity Impact on quality of service III.9 III.9.2.2/ Impacts of distributed generation on the transport network: network: The interest in studying the impacts of the massive integration of distributed generation on the network transport has recently emerged where certain technologies have reached a certain maturity. However, this type of study became a real need particularly after major incidents that occurred during the year in the world (blackout in Italy in September 2003, for example) where the operating strategy of inadequate DG contributed to decisive causes of the collapse of the total network. Uncertainty in the planning phase. Need to strengthen the network. Uncertainty in the operating reserve margin. Sensitivity related to the management of the reactivate. Sensitivity related to inopportune release of DG. 74 CHAPTER III STUDY OF STANDARD NETWORK III.10 III.10. 10. The plan of defense against major incidents - The recovery plan: The consequences of the breakdown of service are so heavy that each system, depending on its characteristics, should develop procedures that include the decisions and actions to be taken automatically to protect against incidents, or if all means of protection sought cannot save the system, to restore the normal functioning of the system as quickly as possible. These procedures cover the following objectives: • Detection: the system must have the means to detect the degraded state of the electrical system. • Security: requires appropriate procedures to stop the expansion of the incident and its spread to the rest of the network if necessary by sacrificing the power of some consumers, and / or prepare the plan of separating the network into several subs - networks to protect healthy areas. This is part of the defense. • Speed: For areas that are in extreme situations (blackout), it must contain procedures that automatic or manual actions to be taken for a rapid return to normal. This is the recovery plan for the system. 75 STUDY OF Local NETWORK Environmental Optimization of the Energy in an Electrical Network. CHAPTER IV STUDY OF LOCAL NETWORK VI. STUDY OF ALGERIEN ALGERIENN ENNE DES EAUX (ADE) ADE) NETWORK: IV. 1. Introduction: Our study is based on a large consumer of energy in our city (Bechar) which is the (Algerienne Des Eaux); the latter has twenty two subscription contracts with the Company of Distribution of Electricity and Gas of the West (SONELGAZ SONELGAZ) SONELGAZ each of these contracts it is specified by: IV.2. The Characteristics Of Contracts: Contracts: Table IV.1: SUBSCRIPTION CONTRACT: N° subscription tariff PPD Contract Power N° counter transformer Kw Active Reactive losses Losses with losses Losses with Pressure Vacuum Losses (kvar/h) (%) Pressure Losses Vacuum(kw/h) (%) 01 0023 42 50 250 6995 0.79 1.60 3.40 4 02 0085 42 320 400 5981 1.3 1.50 8.30 4 03 0088 42 50 63 2503 0.3 2.60 2.10 4 04 0092 42 50 63 5964 0.25 2.50 1 4 05 0108 42 50 100 4700 0.425 2.30 3 4 06 0116 51 50 63 2625 0.30 2.60 2.10 4 07 0126 51 50 100 4701 0.425 2.30 3 4 08 0132 42 50 63 0383 0.30 2.60 2.10 4 09 0155 41 1000 2x800 0226 / / / / 10 0198 41 1500 3x800 0591 / / / / 11 0282 42 50 100 2508 0.425 2.30 3 4 12 0293 42 80 100 1513 0.425 2.30 3 4 13 14 1050 0408 42 42 80 200 400 630 4908 5544 1.30 1.80 1.50 1.50 8.30 11.50 4 4 15 0460 42 50 100 7339 0.425 2.30 3 4 16 0461 42 50 100 7341 0.425 2.30 3 4 17 0518 42 80 100 1894 0.425 2.30 3 4 18 1058 42 80 100 1301 0.425 2.30 3 4 19 1059 42 80 100 1309 0.425 2.30 3 4 20 1060 42 80 100 1302 0.425 2.30 3 4 21 1061 42 80 100 1322 0.425 2.30 3 4 22 1062 42 80 100 1304 0.425 2.30 3 4 Source: Source Subscription contracts between the Company of Distribution of Electricity and Gas of the West (SONELGAZ/BECHAR) and (Algerienne Des Eaux – Bechar). 76 CHAPTER IV STUDY OF LOCAL L NETWORK The Company of Distribution of the Electricity and Gas of the West (SONELGAZ) SONELGAZ) placed a power at the disposal of ADE (Algeri Algerienne Des Eaux) for each contract which is the Power Placed at the Disposal (PPD PPD) PPD) whose the latter one ever needs reached this power it is always necessary remains in the margin of the Maximum Power Reached (MPR (MPR) t Power MPR) which is lower than the Placed at the Disposal (PPD PPD > MPR) MPR according to the following figure: IV.3. The Power Placed at the Disposal (PPD (PPD) PPD) and the Maximum Power Reached (MPR) MPR): 4 500 4 000 Power kw 3 500 3 000 2 500 2 000 PPD 1 500 PMR 1 000 500 0 Fig. IV.1: 07 IV.1: Power Placed at the Disposal and the Maximum Power Reached for the year 07. If the Maximum Power Reached (MPR (MPR) PPD) MPR) exceeds the power placed at the disposal (P (Algerienne Des Eaux) will be penalized; IV.4. The electrical supply network (ADE (ADE) ADE): Figure IV. IV.2: The electrical supply network (ADE). 77 CHAPTER IV STUDY OF LOCAL NETWORK Our study is based on some contracts which are liked them large consumer of (A ADE): DE contract Nb° 155 (Station de Traitement Djorf Torba), contract Nb° 198 (Station de Refoulement Kenadsa) and the contract Nb° 408 (Station De Traitement Abadla) for a simulation and seeks solutions of optimizations environmental of energy in the electrical supply network (A ADE) DE (obligation to reduce the emission of CO2). The following tables give us consumption in the various time hourly stations: IV.5. Consumption of energy in the electrical supply network (ADE (ADE) DE): Table IV. 2: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2007: (*) (*) Month January February March April May June July August September October November December TOTAL Cons OPH 07 268,483 279,935 309,267 314,450 406,999 363,329 340,195 483,617 409,373 398,372 362,505 378,873 4,315,398 Cons PH 07 135,353 159,478 154,423 175,432 223,405 200,806 180,862 263,506 226,293 219,500 199,839 194,928 2,333,825 Cons FH 07 501,329 646,006 388,331 550,048 665,180 618,259 594,596 794,469 693,312 684,567 591,224 602,435 7,329,756 Cons React 07 TA / IAT 07 654,954 1,862,674.59 725,674 2,844,379.78 667,514 2,462,714.59 770,389 2,915,499.70 876,590 3,486,214.06 815,862 3,299,967.36 752,276 3,021,074.65 1,027,797 4,065,105.09 902,111 3,366,546.62 891,644 3,449,043.43 826,994 3,186,935.67 847,878 3,168,398.26 9,759,683 37,128,553.80 Table IV. 3: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2008: (*) (*) Month January February March April May June July August September October November December TOTAL Cons OPH 08 Cons PH 08 314,208 159,518 299,557 140,114 339,529 170,246 357,390 190,104 304,660 175,606 359,060 200,687 631,588 204,062 405,408 238,310 389,477 227,428 258,502 141,623 301,968 154,376 326,803 166,893 4,288,150 2,168,967 Cons FH 08 507,848 468,355 552,825 594,213 540,381 611,842 593,135 681,636 670,152 434,458 491,323 536,732 6,682,900 78 Cons React 08 738,058 683,803 769,058 792,983 687,104 792,122 772,981 900,752 886,784 676,544 692,026 760,389 9,152,604 TA / IAT 08 2,752,654.33 2,480,109.69 2,908,177.70 3,116,023.30 2,824,270.79 3,225,189.29 3,250,893.92 4,098,360.03 3,578,436.32 2,476,007.67 2,604,568.50 2,841,613.64 36,156,305.18 CHAPTER IV STUDY OF LOCAL NETWORK Table IV. 4: Consumption of energy in the (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) for the year 2009: (*) (*) Month January February March April May June July August September October November December TOTAL Cons OPH 09 307,313 394,071 354,948 355,908 400,714 494,438 436,170 490,484 409,957 490,084 416,655 445,933 4,996,675 Cons PH 09 153,005 61,341 89,206 99,542 202,114 265,283 230,507 257,215 222,892 74,618 86,176 73,157 1,815,056 Cons FH 09 571,918 590,382 615,067 617,152 662,625 837,558 728,337 832,317 692,865 776,792 598,018 563,184 8,086,215 Cons React 09 TA / IAT 09 744,204 2,806,758.51 756,859 2,211,838.68 743,185 2,442,977.65 706,048 2,713,025.39 878,297 3,346,767.38 895,717 4,208,485.07 926,048 3,768,529.56 1,041,966 4,109,587.97 865,031 3,577,137.10 942,097 2,752,659.65 764,026 2,444,161.89 759,034 2,423,956.67 10,022,512 36,805,885.52 Table IV. 5: Consumption of energy in the (off-peak hours, the hour’s peaks, the full hours and (*) the energy reactivates) for the year 2010: (*) Month January February March April May June July August September October November December TOTAL Cons OPH 10 Cons PH 10 403,692 55,488 465,724 65,534 373,382 124,552 411,707 188,944 460,242 243,968 452,746 243,931 476,731 247,453 488,871 250,336 448,488 234,883 492,436 137,539 410,302 113,646 412,908 60,837 5,297,229 1,967,111 Cons FH 10 501,330 586,647 584,874 678,058 760,712 769,134 750,061 858,843 697,756 770,636 645,624 635,144 8,238,819 Cons React 10 660,439 801,802 740,680 856,384 970,885 969,801 952,299 1,031,675 935,618 941,095 814,578 768,265 10,443,521 TA / IAT 10 2,089,031.45 2,310,995.37 2,666,693.30 3,297,761.85 3,819,410.35 3,868,531.69 3,880,736.79 4,069,127.77 3,762,029.77 3,149,130.70 2,708,379.97 2,343,354.68 37,965,183.69 Table IV.6 V.6: Power placed at the disposal and Maximum power reached for the years 07-08-09-10 (*) (*) YEAR 2007 2008 2009 2010 PPD(Kw) 42 720 59 760 49 010 43 780 MPR (Kw) 25 058 25 359 27 137 27 497 79 DIFF(Kw) 17 662 34 401 21 873 16 253 CHAPTER IV STUDY OF LOCAL L NETWORK 70 000 PPD and MPR 60 000 50 000 40 000 30 000 PPD(Kw) 20 000 MPR(Kw) 10 000 0 Years Fig.IV 07 10 Fig.IV. IV.3: Power Placed at the Disposal and the Maximum Power Reached for the years 07-08-09- It is noted that the power placed at the disposal (PPD) in the four quarters is higher maximum power reached (MPR) almost one doubles what implies than (A (ADE) DE) has badly to treat these energy needs for or there are losses in cost (loads moreover) and the energy problem according to the ecological point of view (CO2 emission) is very significant (we ( will see the equivalent of CO2 in the following chapters). Table IV.7: The Amount Net Of Tax of the (PPD and MPR) (*) (*) YEAR 2007 2008 2009 2010 PPD(ANOT) 1 091 475,00 1 603 080,00 1 257 241,50 1 142 724,00 MPR (ANOT) 2 738 926,76 2 763 324,38 3 019 056,17 3 014 231,62 DIFF (ANOT) 1 647 451,76 1 160 244,38 1 761 814,67 1 871 507,62 Table IV.8: Consumption of Energy (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 07 (*) (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Year 2007 Cons OPH 07 857 685 1 084 778 1 233 185 1 139 750 4 315 398 Cons PH 07 449 254 599 643 670 661 614 267 2 333 825 Cons FH 07 1 535 666 1 833 487 2 082 377 1 878 226 7 329 756 Cons React 07 2 048 142 2 462 841 2 682 184 2 566 516 9 759 683 TA / IAT 07 7 169 768,96 9 701 681,12 10 452 726,36 9 804 377,36 37 128 553,80 Table IV.9: Consumption of Energy (off-peak hours, the peaks hour’s, the full hours and the energy reactivates) per Quarter for the Year 08 (*) (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Year 2008 Cons OPH 08 953 294 1 021 110 1 426 473 887 273 4 288 150 Cons PH 08 469 878 566 397 669 800 462 892 2 168 967 Cons FH 08 1 529 028 1 746 436 1 944 923 1 462 513 6 682 900 80 Cons React 08 2 190 919 2 272 209 2 560 517 2 128 959 9 152 604 TA / IAT 08 8 140 941,72 9 165 483,38 10 927 690,27 7 922 189,81 36 156 305,18 CHAPTER IV STUDY OF LOCAL L NETWORK Table IV.10: Consumption of Energy in the (off-peak hours, the peakss hour’s, the full hours and the energy reactivates) per Quarter for the Year 09 (*) (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Year 2009 Cons OPH 09 1 056 332 1 251 060 1 336 611 1 352 672 4 996 675 Cons PH 09 303 552 566 939 710 614 233 951 1 815 056 Cons FH 09 1 777 367 2 117 335 2 253 519 1 937 994 8 086 215 Cons React 09 2 244 248 2 480 062 2 833 045 2 465 157 10 022 512 TA / IAT 09 7 461 574,84 10 268 277,84 11 455 254,63 7 620 778,21 36 805 885,52 Table IV.11: Consumption of Energy in the (off-peak hours, the peakss hour’s, the full hours and the energy reactivates) per Quarter for the Year 10 (*) (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Year 2010 Cons OPH 10 1 242 798 1 324 695 1 414 090 1 315 646 5 297 229 Cons PH 10 245 574 676 843 732 672 312 022 1 967 111 Cons FH 10 1 672 851 2 207 904 2 306 660 2 051 404 8 238 819 Cons React 10 2 202 921 2 797 070 2 919 592 2 523 938 10 443 521 TA / IAT 10 7 066 720,12 10 985 703,89 11 711 894,33 8 200 865,35 37 965 183,69 Table IV.12: Consumption of Energy in the Off-Peak Off Peak Hours per Quarter for the Years 07-08-09-10 07 (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Years Years Cons OPH 07 857 685 1 084 778 1 233 185 1 139 750 4 315 398 Cons OPH 08 953 294 1 021 110 1 426 473 887 273 4 288 150 Cons OPH 09 1 056 332 1 251 060 1 336 611 1 352 672 4 996 675 Cons OPH 10 1 242 798 1 324 695 1 414 090 1 315 646 5 297 229 1 600 000 Power in Kwh 1 400 000 1 200 000 1 000 000 800 000 Cons OPH 07 600 000 Cons OPH 08 400 000 Cons OPH 09 200 000 Cons OPH 10 0 1° 2° 3° 4° Quarter Quarter Quarter Quarter Quarter Off Peak Hours per Quarter for the Years 07-08-09-10 07 Fig.IV Fig.IV. IV.4: Consumption of Energy in the Off-Peak 81 CHAPTER IV STUDY OF LOCAL L NETWORK Table IV.13: Consumption of Energy in the Full Hours per Quarter for the Years 07-08-09-10 07 (*) (*) Quarter Cons FH 07 1° Quarter 1 535 666 2° Quarter 1 833 487 3° Quarter 2 082 377 4° Quarter 1 878 226 7 329 756 Years Cons FH 08 1 529 028 1 746 436 1 944 923 1 462 513 6 682 900 Cons FH 09 1 777 367 2 117 335 2 253 519 1 937 994 8 086 215 Cons FH 10 1 672 851 2 207 904 2 306 660 2 051 404 8 238 819 2 500 000 Power in Kwh 2 000 000 1 500 000 Cons FH 07 1 000 000 Cons FH 08 Cons FH 09 500 000 Cons FH 10 0 1° 2° 3° 4° Quarter Quarter Quarter Quarter Quarter Fig.I 07 Fig.IV.5 V.5: Consumption of Energy in the Full Hours per Quarter for the Years 07-08-09-10 Table IV.14: Consumption of energy in the Peaks Hours per Quarter for the Years 07-08-09-10 07 (*) (*) Quarter Cons PH 07 1° Quarter 449 254 2° Quarter 599 643 3° Quarter 670 661 4° Quarter 614 267 2 333 825 Years Years Cons PH 08 469 878 566 397 669 800 462 892 2 168 967 82 Cons PH 09 303 552 566 939 710 614 233 951 1 815 056 Cons PH 10 245 574 676 843 732 672 312 022 1 967 111 CHAPTER IV STUDY OF LOCAL L NETWORK 800 000 Power in Kwh 700 000 600 000 500 000 400 000 Cons HP 07 300 000 200 000 Cons HP 08 100 000 Cons HP 09 0 Cons HP 10 Quarter Fig.IV 07 Fig.IV. IV.6: Consumption of energy in the peaks Hours per Quarter for the Years 07-08-09-10 Generally the consumption of energy in the off-peak off hours, the peaks hours and the full hours for the years 2007 -2008-2009 2009 and 2010 is to the maximum in the second and the third quarter (per month: April, May, June, July, August and September) because the two seasons seasons spring and the Summer where we use all the means to satisfy subscribed; subscribed because the Summer it is the most difficult period of the year because of the heat of which the use of all the equipment of the stations of pumping, the stations of treatments and the stations of repressions can involve the heating of the equipments . Table. Table.IV.15: Consumption of Energy Reactivates per Quarter for the Years 07--08-09-10 (*) Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Years Years Cons React 07 2 048 142 2 462 841 2 682 184 2 566 516 9 759 683 Cons React 08 2 190 919 2 272 209 2 560 517 2 128 959 9 152 604 83 Cons React 09 2 244 248 2 480 062 2 833 045 2 465 157 10 022 512 Cons React 10 2 202 921 2 797 070 2 919 592 2 523 938 10 443 521 CHAPTER IV STUDY OF LOCAL L NETWORK Consumption of Energy Reactivates per Quarter for the Years 07-08-09-10 3 500 000 3 000 000 Power Kwh 2 500 000 2 000 000 React 07 1 500 000 React 08 1 000 000 React 09 500 000 React 10 0 1° 2° 3° 4° Quarter Fig.IV. 07-08-09-10. Fig.IV.7: Consumption of Energy Reactivates per Quarter for the Years 07- Even for the consumption of reactivates energy we note that during the second and the third quarter consumption is to the maximum from where the latter should be optimized because it too much is load and even it to create a disturbance on network (SONELGAZ SONELGAZ). IV.5. Optimization of reactive power: power: IV.5.1. Introduction: Introduction: It is defined that for the sinusoidal mode Q UI sin The reactive power represents accumulation in form electromagnetic or electrostatic there is no expenditure of energy between the receiver and the source however it intervenes on the instantaneous value of the current. For the electric machines they represent magnetic energy with the network (maintenance of the magnetic flux) To study the problem of optimal reactive power compensation, mathematical programming provides us with algorithms to solve or for optimizing linear functions under linear constraints, constraints or for optimization of nonlinear functions with or without constraints. This problem can be solved by several techniques,, including: The monitoring of the voltage in real time. The minimization of active losses. Maximization of reactive power reserves by distributing evenly between generators production. 84 CHAPTER IV STUDY OF LOCAL L NETWORK The optimization of the volume and location means for compensating reactive power so that the limits are met voltage. We can make two main objectives for the optimization of reactive power which the first is based on safety, when demand is high, and the second on the economy, when the network operates under certain conditions: In the reported incidents, the main objective is to correct existing violations of limits with the minimum of actions. 1. In normal state, generally, the goal is to reduce costs and maintain adequate capacity to generate reactive power, to deal with possible incidents. To do so, maintaining adequate margins of generation of reactive power is not a critical issue in times of low load, but it acquires a crucial importance when the network is operating at full load. The latter must ensure continuity ntinuity of service. But in our case the optimization of energy reactivates it is not our study. study 07 (*) Table. Table.IV.16: Total Amount with All Inclusive of Tax per Quarter for the Years 07-08-09-10 Quarter 1° Quarter 2° Quarter 3° Quarter 4° Quarter Years Years TA / IAT 07 TA / IAT 08 7 169 768,96 8 140 941,72 9 701 681,12 9 165 483,38 10 452 726,36 10 927 690,27 9 804 377,36 7 922 189,81 37 128 553,80 36 156 305,18 TA / IAT 09 7 461 574,84 10 268 277,84 11 455 254,63 7 620 778,21 36 805 885,52 TA / IAT 10 7 066 720,12 10 985 703,89 11 711 894,33 8 200 865,35 37 965 183,69 14 000 000,00 Total Amount 12 000 000,00 10 000 000,00 8 000 000,00 TA / IAT 07 6 000 000,00 TA / IAT 08 4 000 000,00 TA / IAT 09 2 000 000,00 TA / IAT 10 0,00 1° 2° 3° 4° Quarter Quarter Quarter Quarter Quarter Fig.IV 07 Fig.IV. IV.8: Total Amount with All Inclusive of Tax per Quarter for the Years 07-08-09-10. Automatically for consumption with the peak then the payment of the invoices of the consumption of energy will be with the peak what implies that there is a bad management!!! 85 CHAPTER IV STUDY OF LOCAL L NETWORK From where we try to find solutions of environmental optimizations of energy in the electrical supply network (A ADE) DE) (obligation to reduce the emission of CO2 and not only according to the ecological point of view, but also according to an economic point of view. IV.6. Calculation CO2 emissions of (Algerienn Algerienne Des Eaux) Eaux): According to Summit of Copenhagen there is 3300 kWh electricity = 1000 kg of CO2 from where we have: Table. Table.IV.17: For a real consumption: Year real consumption (kWh) CO2 emission per kg CO2 emission per (t) 2007 14 237 956,00 4 314 532,12 ≈ 4 315 2008 13 242 953,00 4 013 016,06 ≈ 4 013 2009 15 017 788,00 4 550 844,85 ≈ 5 000 2010 15 536 615,00 4 708 065,15 ≈ 5 000 Total 58 035 312,00 17 586 458,18 ≈ 18 000 CO2 emission per (t) 0% 0% 50% 50% 2007 2008 2009 2010 Fig.IV.9 Fig.IV.9: CO2 emissions of (ADE) per (t) for a real consumption.. Table IV.18: For an overall consumption: Year overall consumption (kWh) CO2 emission per kg CO2 emission per (t) 2007 17 258 398,00 5 229 817,58 ≈ 5 300 2008 15 899 418,25 4 818 005,53 ≈ 5 000 2009 17 584 861,87 5 328 746,02 ≈ 5 400 2010 18 052 946,00 5 470 589,70 ≈ 5 500 Total 68 795 624,12 20 847 158,82 ≈ 20 840 86 CHAPTER IV STUDY OF LOCAL L NETWORK CO2 emission per (t) 33% 35% 2007 2008 2009 2010 32% 0% Fig.IV.10 (A per (t) for an overall consumption Fig.IV.10: 10: CO2 emissions of (ADE) According to Summit of Copenhagen there is 10 kWh of electricity in Belgium = 3 kg of CO2 from where we have: Table IV.19: For a real consumption: (*) (*) Year real consumption (kWh) CO2 emission per kg CO2 emission per (t) 2007 14 237 956,00 4 271 386,80 ≈ 4 300 2008 13 242 953,00 3 972 885,90 ≈ 4 000 2009 15 017 788,00 4 505 336,40 ≈ 4 500 2010 15 536 615,00 4 660 984,50 ≈ 5 000 Total 58 035 312,00 17 410 593,60 ≈ 17 800 CO2 emission per (t) 0% 0% 0% 2007 2008 2009 2010 100% Fig.IV.11 consumption Fig.IV.11: CO2 emissions of (ADE) per (t) for a real consumption. 87 CHAPTER IV STUDY OF LOCAL L NETWORK Table. Table.IV.20: For an overall consumption: (*) (*) Year overall consumption (kWh) CO2 emission per kg CO2 emission per (t) 2007 17 258 398,00 5 177 519,40 ≈ 5 200 2008 15 899 418,25 4 769 825,48 ≈ 5 000 2009 17 584 861,87 5 275 458,56 ≈ 5 300 2010 18 052 946,00 5 415 883,80 ≈ 5 400 Total 68 795 624,12 20 638 687,24 ≈ 20 900 CO2 emission per (t) 25% 26% 2007 2008 24% 25% 2009 2010 Fig.IV.12 consumption Fig.IV.12: CO2 emissions of (ADE) per (t) for an overall consumption. According to the calculation of emission of CO2 and the graphs we note that the emission of Algerian Water (Algerienne Des Eaux ADE) is rather significant ificant (more than 4 000 T of CO2) for each year from where it is necessary when to reduce it and to find solutions. (*) (*) Source: Source: Monthly Invoices periods (2007-2008-2009-2010) SONELGAZ. IV.7 IV.7. CONCLUSION (SOLUTIONS (SOLUTIONS) SOLUTIONS): (Algerienne Des Eaux) is one of the largest consumers of energy in our Bechar city; city for example consumption in year 2007 in total is 14 237 956 kw (14 GW), W), in 2008 13 242 953 kw (13 GW) and in 2009 is 15 017 788 kw (15 GW) G on the other hand in 2010 is 15 536 615 kw (15 ( GW) in the four years total real consumption is of 58 035 312 kw (58 GW); W); of another share an overall consumption of 68 795 624 kw (68 GW) W) it is rather significant especially for a CO2 emission which is more than 4 000 of ton for each year. Indeed, the principal ipal aiming of this research is to find solutions of environmental optimizations of energy in the electrical supply network of (A (ADE) DE) (obligation to reduce the emission of CO2, we can distinguish two from the solutions one political and the other economic one; one; 88 CHAPTER IV STUDY OF LOCAL NETWORK 1- Policy: (Algerienne Des Eaux) with twenty two contracts of subscription; from where several contracts are in stop and each month it pays more than 10 000,00 DA for nothing (of the loads moreover) the only solution is to terminate the contracts and when we need it for another time we must renew it automatically well on with expenses less by report/ratio of a creation of a new contract since the two companies are of the State, then it should be seen this problem since (Algerienne Des Eaux) prefers to keep the contract in stop instead of cancelling; because of the expenses of renewal on the other hand it has loads in more monthly; (more than 120 000 DA each year) (bad management). 2- Economic: a) - Revision of the power placed at the disposal (PPD) : several contracts with one (PPD) larger than the need why? Since (ADE (ADE) DE) do not know its energy need simply then all should be seen the history of the consumption of energy of all their equipment; for choosing well the powers placed at the disposal. b) - Stops in the hours peak peak: eak: although the peak hours are four hours but they are more expensive in the time stations then tries some to consume energy in the off-peak hours or except point; c)-To reduce the consumption of reactivates energy by the use of the capacitor batteries; (ADE (ADE) DE) has capacitor batteries but unfortunately its lifespan is finished without uses (it is catastrophe always bad management??) . d) - Solutions to be proposed: photovoltaic and biomass ... etc. integration of the renewable resources like wind turbine, It is true that the installation of a renewable source it is too expensive, but if they followed well the energy balance of (ADE) much of the loads and the expenses for nothing; then why not these loads in more we can do something of good; not only according to the economic point of view, but also according to an ecological point of view to reduce the emitted CO2 rate each year which is more than 4 000 ton annually; - Change total of the equipment since are all out of date Integration of the Micro grids; witch there reasons are: Reduction in gaseous emissions (mainly CO2). Energy efficiency or rational use of energy. Deregulation or competition policy. Diversification of energy sources. National and global power requirements. Finally I hope that it will come the day!!!!!!! 89 CASE STUDY Environmental Optimization of the Energy in an Electrical Network. CHAPTER V CASE STUDY V. Case Study: V.1. V.1. Introduction: (Algerienne Des Eaux) is one of the largest consumers of energy in our Bechar city; for example the consumption in the year 2010 is 15 536 615 kwh (15 GW) and in the four years (2007 2008 2009 2010) studies the total real consumption is of 58 035 312 kwh (58 GWh); of another share an overall consumption of 68 795 624 kw (68 GWh) it is rather significant especially for a CO2 emission which is more than 4 000 of ton for each year. Indeed, the principal aiming of this research is to find solutions of environmental optimizations of energy in the electrical supply network of (A ADE) DE (obligation to reduce the CO2 emission). Tab.V.1 Tab.V.1: Real consumption of (ADE): Year real consumption of (AW) (kWh) 2007 14 237 956,00 2008 13 242 953,00 2009 15 017 788,00 2010 15 536 615,00 V.2. The political solution: The polity’s solutions are cited in Chapter IV (Study of Local Network). We choose the year of 2010 for study; In the year 2010 we have (11contratcts are in stop) that’s (ADE) pays more than: 476 638,22 DA (IAT) ≈ 3 333,13 € from 37 965 183,69 DA; So where is the problem?? The problem is between all Algerian’s companies because we must find a solution which (ADE) DE) don’t losses some dinars and (SONELGAZ SONELGAZ) SONELGAZ don’t losses power. 90 CHAPTER V CASE STUDY V.3 V.3. The Economic solution is: a) - Revision of the power placed at the disposal (PPD): (PPD) b) - Stops in the peak hours: hours: c) -Solutions Solutions to be proposed: integration of the renewable resources like wind turbine, photovoltaic, biomass and the solar pumping for wells; (ADE has 16 Wells)!!!! And even solar lighting ... etc. It is true that the installation of a renewable source it is too expensive, but if they followed well the energy balance of (ADE) much of the loads and the expenses for nothing; then why not these loads in more we can do something of good; not only according to the economic point of view, but also according to an ecological point of view to reduce the emitted CO2 rate each year which is more than 4 000 ton annually; - Change total of the equipment since are all out of date Integration of the Micro grids; witch there reasons are: Reduction in gaseous emissions (mainly CO2). Energy efficiency or rational use of energy. Deregulation or competition policy. Diversification of energy sources. National and global power requirements. V.3 V.3.1. Revision of the power placed at the disposal (PPD): (PPD): According to the exchange we have 1 € = 143 DA June 2011/ BNA Algeria (Generally 1 € = 100 DA). Tab.V Tab.V.2: Revision of the (PPD) in the year 2010: Months Months January Revision of the PPD Revision of the PPD from 80 to 50 gain realized per month (DA/ET)(*) (DA/ET)(*) 967,50 observation revision of the contract Nb.1050(Château Mer Niger) February No revisions were made March No revisions were made April Revision of the PPD from 80 to 50 May Revision of the PPD from 1500 to 1000 967,50 10 770,00 revision of the contract Nb.293 (Forage F4 Beni Ounif) revision of the contract Nb.198 (Station de refoulement Kenadsa) June No revisions were made July No revisions were made August No revisions were made September No revisions were made October No revisions were made November No revisions were made December No revisions were made (*) The difference between the price of PPD = 80 kw and the price of PPD = 50 kw. And the difference between the price of PPD = 1 500 kw and the price of PPD = 1 000 kw. 91 CHAPTER V CASE STUDY Tab.V. Tab.V.3 V.3: Gain Realized in the year 2010: gain realized per month (DA/E (DA/ET) 967,50 12 (*) Total gain realized (DA/E (DA/ET) 11 610,00 967,50 9 (**) 8 707,50 10 770,00 8 (***) Total gain realized per Year 2010 (DA/E (DA/ET) 86 160,00 Months Months 106 477,50 (*) the Revision of the PPD made in January (we calculate the 12 Months). (**) the Revision of the PPD made in April (we calculate the 9 Months). (***) the Revision of the PPD made in May (we calculate the 8 Months). ET: ET Excluding Taxes In the year 2010 we are made 03 revisions of the PPD so we are realized the total gain of: (106 477,50 DA = 744,60 €). V.3.2. Stops in the peak hours: Tab.V.4: Stops in the Peak hours in the year 2010: Month Total Peak consumption consumption (kwh) (kwh) Peak rate (%) Realized gain (DA / ET)(*) observation January 1 139 511 55 488 4,87% 403 220,20 Outages during peak hours: February 1 341 574 65 534 4,88% 476 222,47 Outages during peak hours: 9,81% 905 094,47 Outages during peak hours: 1 373 018,26 Outages during peak hours: March 1 269 266 124 552 April 1 475 897 188 944 12,80% May 1 674 362 243 968 14,57% June 1 682 689 243 931 14,50% July 1 701 855 247 453 14,54% August 1 817 267 250 336 13,78% September 1 627 189 234 883 14,43% October 1 638 088 137 539 8,40% 999 468,41 Outages during peak hours: November 1 382 218 113 646 8,22% 825 842,75 Outages during peak hours: December 1 303 030 60 837 4,67% 442 090,31 Outages during peak hours: 10,90% 5 424 956,87 TOTAL 18 052 946 1 967 111 (*) : multiplying the peak consumption by its unit price. 92 CHAPTER V CASE STUDY We made Outages during the peak hours in the months (January, February, March, April, October, November and December) (only 07 Months in the year 2010); so we realized the total gain of: 5 424 956,87 DA = 37 936,7 936,76 ,76 €. So just the revisions of tree PPD we realized the total gain of :(( 106 477,50 DA= 744,60 €) and outages during the peak hours only 07 Months in the year 2010 we realized the total gain of: 5 424 956,87 DA = 37 936,76 €. Then it is very interesting with only two solutions have been realized a significant gain, so if we work with other proposed solutions we will realize a gain very important so we are going to study an installation of PV system an Wind farm then we conclude some conclusion in the next. V.3.3. Solutions to be proposed: Like we are thought in the chapter IV study of local network that’s our study is based on some contracts which are liked them large consumer of (A ADE) DE) which is contract Nb° 155 (Station de Traitement Djorf Torba ) so ; Tab.V.5: Consumption of energy in ADE (Station de Traitement Djorf Torba. Kenadsa/Bechar): Month OPH. 10 HP. 10 FH. 10 React. Real. eal. Cons. 10 Cons. 10 203 222 334 933 262 240 431 303 247 201 403 713 298 745 501 387 343 372 584 737 339 372 573 426 320 174 540 539 365 241 616 287 271 869 453 763 377 519 618 923 241 394 392 009 Tot. ot. Cons. 10 370 688 477 891 449 057 549 438 635 740 626 085 590 443 673 384 498 750 686 980 437 398 584 218,67 755 907,31 928 602,40 1 241 516,51 1 519 881,14 1 491 788,91 1 420 550,30 15 771 991,23 1 218 528,33 1 274 916,74 810 414,96 566 801,31 733 339,29 900 853,53 1 204 380,22 1 474 393,91 1 447 144,44 1 378 042,99 1 524 940,70 1 182 081,68 1 236 778,44 786 211,71 ET. ET. 10 TA / IAT 10 January February March April May June July August September October November 158 858 194 095 147 102 166 825 184 749 179 759 167 174 192 894 144 105 224 768 145 237 2 893 8 713 41 022 70 956 98 799 96 174 91 609 100 036 78 170 50 555 23 201 173 182 228 495 215 589 263 606 301 189 297 493 281 756 323 357 231 488 343 600 223 571 December 146 281 1 088 212 303 224 011 359 672 403 847 631 960,03 613 056,61 Tot. Cons. 1°Q 2° Q 3° Q 4° Q 2 051 847 500 055 531 333 504 173 516 286 663 216 52 628 265 929 269 815 74 844 3 095 629 617 266 862 288 836 601 779 474 3 494 360 712 663 981 489 957 284 842 924 5 810 692 1 169 949 1 659 550 1 610 589 1 370 604 6 399 701 1 297 636 1 811 263 1 762 577 1 528 225 27 650 276,53 2 268 728,38 4 253 186,56 18 411 069,86 2 717 291,73 13 048 024,83 2 200 994,13 4 125 918,57 4 085 065,37 2 636 046,76 PPD = 1 000 Kw MPR= MPR (830: 895) Kw. 93 CHAPTER V CASE STUDY V.3.3.1. V.3.3.1. Stops in the Peak Hours in the year 2010: 2010: Tab.V.6: Outages during peak hour’s Station de Traitement Djorf Torba: Tot. Cons (kwh) Peak cons. (kwh) Realized gain (DA / ET) January 370688 2893 21 022,85 February 477891 8713 63 315,63 March 449057 41022 298 098,67 April 549438 70956 515 623,06 May 635740 98799 June 626085 96174 July 590443 91609 August 673384 100036 September 498750 78170 October 686980 50555 367 373,07 November 437398 23201 168 597,03 December 403847 1088 7 906,28 6 399 701 663 216 1 441 936,59 Month TOTAL So we are realized a gain of: 1 441 936,59 DA = 10 083,47 €. With a difference of: 26 208 339,94 DA /ET (183 275,10 €). Generally total (ET) is above the amount (IAT) because of the amount support of the State. V.3.3.2 V.3.3.2. The installation of a photovoltaic system: V.3.3.2.a. V.3.3.2.a. Estimate the power of photovoltaic panels: panels: [21] Using a simplified method to determine the power of solar panels we need (sizing). Initially we must divide the amount of our daily energy requirement expressed in Watts per Hour index of sunshine which is our geographical area: • For Africa: * 1.3 Then we divide the result by a coefficient corresponding to the season of use of our photovoltaic panels: - For the winter: 1 - For spring and autumn: 3 - For the summer: 5 The result gives the total power in Watts peak (Wp) of solar panels we need. Need to cover a 4 333 Wh/day in the region of Kenadsa (Bechar) during the spring and autumn. 94 CHAPTER V CASE STUDY 4 333/1,3 = 3 333 Wp 3 333/3 = 1 111 Wp (because it is based on the season which sunlight is the least). We always recommend taking a safety margin of 10% to 20% from this value to compensate for energy losses due to losses in the cables and connections and use a converter. In this case, then we would recommend to install a power of 1 111 Wp + 10% to 20%, or 1 220 Wp to 1 330 ≈ 1 300 Wp. For this installation, it will be possible to choose the configuration panel as follows: Photovoltaic panels of 130 Wp: 1 300/130 = 10 The price of the panel is: 449,95 € 449,95 € * 10 = 4 499,50 € = 643 428,50 DA. Fig.V. Fig.V.1. V.1. Monocrystalline solar module 130 Wp VICTRON - High efficiency: 95 CHAPTER V CASE STUDY V.3.3.2.b. V.3.3.2.b. Technical characteristics: [21] Electrical data: • • • • • • Rated power (1): 130 Watts Peak. Power tolerance: + / -3%. Max. (Vmp): 18 V. Max. (Imp): 7.23 A. Circuit voltage (Voc): 21.6 V. Short circuit current (Isc): 7.94 A. Features: • • • • • • • • • • • • • Monocrystalline cells. Aluminum frame. Operating temperature: -40° C to +80° C. Maximum surface load: 200kg / m². Resistance to impact (hail): 23m / s, 7.53g. Junction box for PV-RH0301. Connector Type: PV-ST01 / ST01 PV-M / F. Cable length: 900mm. Dimensions (in mm): 1220x808x35 (W x L x H). Weight: 13 kg. Anchors fixed to the frame. 2 years product warranty. Performances guarantee 10 years 90 years 80% + 25% of the minimum power. (1) Standard Test Conditions (STC), defined as follows: power of the radiation of 1000 W/m2 at a spectral density of 1.5 AM (ASTM E892). Cell temperature of 25°C. 96 CHAPTER V CASE STUDY V.3.3.2.c. V.3.3.2.c. Solar pump: pump: [21] We can also use these panels for solar pump for wells. Possible uses of this solar pump: Go underwater with a tank or a well. Feed fish pond water renewed (oxygenated). Drinking water supply. Livestock watering. Regulating pond management. Irrigation of a garden or field. Fig.V.2. Fig.V.2. LORENTZ PS (200-600-1200-1800) submersible solar pump up to (50-180-240-250) m. 97 CHAPTER V CASE STUDY Solar pump submersible LORENTZ PS200 up to 50 m: Includes the body and pumping MPPT charge controller. Pressure: the water rises up to 50 m (total head). Maximum flow rate: up to 5m3 / h. Easy installation. No maintenance. Operates on a voltage 24V, 36V or 48V. Runs on batteries or solar photovoltaic panels directly. Dimensions (body pump): 780 mm (height) 96 mm (diameter). Warranty: 2 years (against defects in material and labor). Manufacturer: LORENTZ (Germany) Fig.V.3. Fig.V.3. PS200. PS200. Solar pump submersible LORENTZ PS600 up to 180 m: Includes the body and pumping MPPT charge controller. Maximum flow rate: up to 11 m3 / h. Pressure: the water rises up to 180 m (total head). Several versions available for the pump. Easy installation. No maintenance. Operates with a voltage between 48V and 72V. Dimensions (body pump): 780 mm (height) 96 mm (diameter). Warranty: 2 years (against defects in material and labor). Manufacturer: LORENTZ (Germany). Fig.V.4. Fig.V.4. PS600. PS600. Solar pump submersible LORENTZ PS1200 up to 240 m Includes the body and pumping MPPT charge controller. Maximum flow rate: up to 21 m3 / h. Pressure: the water rises up to 240 m (total head). Several versions available for the pump (see data sheet below cons). Easy installation. No maintenance. Operates with a voltage between 72V and 96V. Dimensions (body pump): 780 mm (height) 96 mm (diameter). Warranty: 2 years (against defects in material and labor). Manufacturer: LORENTZ (Germany). Fig.V.5. Fig.V.5. PS1200. PS1200. 98 CHAPTER V CASE STUDY Solar pump submersible LORENTZ PS1800 up to 250 m (high flow) Includes the body and pumping MPPT charge controller. Maximum flow rate: up to 53 m3 / h. Pressure: the water rises up to 250 m (total head). Several versions available for the pump. Easy installation. No maintenance. Operates with a voltage between 72V and 96V. Warranty: 2 years (against defects in material and labor). Manufacturer: LORENTZ (Germany). Fig.V.6. Fig.V.6. PS1800. PS1800. Solar Pump of surface Lorentz PS150 BOOST to 120m: 120m: Maximum flow rate: up to 0.9 m3 / h. Pressure: the water rises up to 120 m (total head). Several versions available for the pump Easy installation. No maintenance. Works with 12V or 24V voltage. Warranty: 2 years (against defects in material and labor). Manufacturer: LORENTZ (Germany). Fig.V.7. Fig.V.7. PS150 BOOST. 99 CHAPTER V CASE STUDY V.4. V.4. Some Solutions for reduction of the CO2 emissions in Algeria and in the world: world: 1- Reduction of the CO2 emissions: Algerian researchers develop a new fuel: [22] To fight against the CO2 emissions and the reheating of planet, a hybrid fuel composed of hydrogen and compressed natural gas (HCNG HCNG) HCNG were developed by Algerian researchers of the national Center of development of renewable energies (CDER CDER). CDER The production of this new hybrid fuel is with experimental phase on certain vehicles, according (Bouziane Mahmah), charge of studies to the CDER and head of the project of hybrid fuel which specifies that in the second phase, from the partnerships could be concluded with national companies to generalize the use of the new fuel on all the vehicles. According to the head of the project, the vehicles using this fuel will preserve the same performances, with a saving in fuel and less CO2 discharge. 2- New Energy Algeria (NEA): Rationale: New Energy Algeria. Referred to as (NEAL) SPA Created in 2002, Responsible for promoting and development of ENR, Through the use of all Sources of Energy renewable such as solar, wind, photovoltaic’s. ... 2.1. Strategic Objectives: • • • • • Development of southern. Cost reduction. Technology acquisition. Reducing greenhouse gas emissions. Establishment of a technology park in Hassi R'mel. 2.2 2.2. Characteristics / Projects: Projects: • • • Clean Development Mechanism. Eligibility of projects. Program projects in the Framework for a Public-Private Partnership. 2.3 2.3. Hybrid project Solar/Gas: • • • • Project 1: Project Hybrid Solar/Gas - 150/25 MW to HRM: 2006 (signed contract). Project 2: Project Hybrid Solar/Gas - 400/75 MW Naâma: 2010. Obs. Obs.: Development Perspectives in the highlands. Project 3: Project Hybrid Solar/Gas - 400/75 MW Meghaier: 2012. Obs.: Obs. development of the region of Souf. It is intended as a desalination of brackish Oued Righ canal. Project 4: Project Hybrid Solar/Gas - 400/75 MW Hassi R’mel: 2015. Obs.: Obs. Draft valuation of gas flared Hassi R'mel. 100 CHAPTER V CASE STUDY 2.4 2.4. Wind Farm Projects: • • • • Project 1: 06 MW wind farm in Tindouf: 2008. Project 2: 10 MW wind farm in Tindouf: 2010. Project 3: 10 MW wind farm in Timimoun: 2012. Project 4: 10 MW wind farm in Bechar: 2015. 3- First Hybrid Solar/Gas In The World (Hassi (Hassi R'mel R'mel) mel) : [23] The future mixed power station will have to cost 350 million Euros. Operational once it will be able to reach a production of 160 megawatts. This hybrid power station - built close to the largest natural gas layer of the African continent will combine a matrix of parabolic mirrors concentrating the solar power of 25 MW, on a surface of 180.000 m², in conjunction with a power station with gas turbines of 130 MW, thus reducing the CO2 emissions, compared with traditional power stations. The exit of the solar matrix will be used in the turbine with flow. The contract of construction was signed on January, 5, 2007 and the power station will be developed by New Energy Algeria (NEAL NEAL); NEAL a joint venture between Sonatrach /Sonelgaz and SIM. The power station belongs to an agenda of four hybrid units in Algeria. It would be «the first on a worldwide scale «combining gas turbines and solar energy. This hybrid power station registered with the title of the new strategy of the bearing sector resort to other alternatives of energy production will produce 20% of electricity thanks to the exploitation of solar energy. Algeria fixed itself like objective to produce at the 20 years (horizons next) the third of its electricity starting from renewable energies, a very promising project so that the European achieves its goals of reduction of emissions of CO2 and renewable energy production. The project is supported by a score of company’s allemandes: (Deutsche Bank, Rwe, Siemens...). Fig.V.8 Fig.V.8.Hybrid power station of Hassi R' mel. 101 CHAPTER V CASE STUDY 3.1. Structure of the Contract: • • • • NEAL (20%). Sonatrach (14%). COFIDES (15%). ABENER (51%). 4- Peaceful nuclear power: Algéro-Korean co-operation: An agreement on the peaceful nuclear power in preparation The Republic of Korea already installed 22 nuclear engines and 6 others are in the course of construction, which enables him to draw 40% from its consumption in electricity of atomic energy. The co-operation between Algeria and Korea should grow rich soon by an agreement around the peaceful nuclear power. Trade between Korea and Algeria passed from 2,6 billion dollars into 2009 to 3,5 billion dollars into 2010, including 2 billion Algerian exports. 5- DESERTEC Project: DESERTEC is a concept proposed by the DESERTEC Foundation for making use of solar energy and wind energy. This concept will be implemented in North Africa and the Middle East by the consortium Dii GmbH, formed by a group of European companies and the DESERTEC Foundation. The DESERTEC concept was initiated under the auspices of the Club of Rome and the German Trans-Mediterranean Renewable Energy Cooperation (TREC). Construction of DESERTEC's first 500 MW solar farms in Morocco is scheduled to start in 2012. Description Description The DESERTEC concept aims at promoting the generation of electricity in Northern Africa, the Middle East and Europa using solar power plants, wind parks and the transmission of this electricity to the consumption centers, promoted by the non-profit DESERTEC Foundation. Despite its name, DESERTEC's proposal would see most of the power plants located outside of the Sahara Desert itself, in the more accessible southern and northern steppes and woodlands, as well as the relatively moist Atlantic coastal desert. The original and first region for the assessment and application of this concept is the EU-MENA region (Europe, Middle East, and Northern Africa). The realization of the DESERTEC concept in this region is pursued by the industrial initiative Dii. Under the DESERTEC proposal, concentrating solar power systems, photovoltaic systems and wind parks would be spread over the desert regions in Northern Africa like the Sahara desert. Produced electricity would be transmitted to European and African countries by a super grid of 102 CHAPTER V CASE STUDY high-voltage direct current cables. It would provide a considerable part of the electricity demand of the MENA countries and furthermore provide continental Europe with 15% of its electricity needs. By 2050, investments into solar plants and transmission lines would be total 400 billion €. The exact plan, including technical and financial requirements, will be designed by 2012. An international network of scientists, experts and politicians from the field of renewable energies form the core of the DESERTEC network, coordinated by the non-profit DESERTEC Foundation. One of the most famous members is Prince Hassan bin Talal of Jordan History The DESERTEC concept was originally developed by TREC, which itself was founded 2003 by the Club of Rome and the National Energy Research Center Jordan, with the scientific work mainly done by the German Aerospace Center (DLR). On 13 July 2009, twelve companies from Europe and North Africa and the DESERTEC Foundation announced their intention to create an industrial initiative to accelerate the implementation of the DESERTEC Concept in Europe, Middle East and North Africa. On 30 October 2009, the joint venture was founded in Munich under the name Dii GmbH. In February 2010, Dii announced that the focus will be to develop demonstration projects and to ensure renewable energy laws allowing imports of green energy are in place in various countries. Talks with the Moroccan government had been successful and the Dii confirmed their first reference project would be on Moroccan soil. In June 2011, Dii signed a memorandum with understating with the Moroccan Agency for Solar Energy (Masen). In April 2010, a consortium spoke person made the following official confirmation: "Our reference projects will not be located in the Western Sahara. When looking for project sites, DESERTEC Industrial Initiative will also take political, ecological or cultural issues into consideration. This procedure is in line with the funding policies of international development banks." In November 2011, plans were finalized to begin the construction of DESERTEC's first 500 MW solar farms in Morocco. Construction of the solar farm will begin in 2012. Studies The DESERTEC Concept is mainly based on three studies conducted by the German Aerospace Center, which among other topics have analyzed the available resources for renewable energies, the predicted demand for energy and water in EU-MENA till 2050 and the creation of an integrated electricity network between Europe and MENA. The studies have been commissioned the Federal Ministry for Environment, Nature Conservation and Nuclear Safety and have been conducted by the German Aerospace Center between 2004 and 2007. The studies are MED-CSP, focusing on availability of resources and demand for energy in the Mediterranean area, TRANSCSP, concentrating on the assessment of an interconnection between Europe and MENA and the assessment of solar energy imports, and AQUA-CSP, which analyzes the demand of water and the possibility to generate fresh water along with electricity by the thermal solar power plants. 103 CHAPTER V CASE STUDY 1- Tax CO2 with Brussels: [24] A directive includes, from 2012, air transport in the European system of the CO2 quotas. A ceiling of emission not to be exceeded is fixed for the airline companies and those which would exceed it must buy quotas of emission. The European Union decided that the CO2 emissions of the planes will have to be limited into 2012 on the European territory to 97% of their level of 2005 then to 95% of this level over the period 2013-2020. The directive applies for all the companies carrying out of the flights on departure or arrival of one of the 27 European Convention countries. In fact all the companies will find obligations to pay rights to pollute which should pay nearly 5 billion Euros per year. The company Air Algeria for which Europe accounts for 80% of the activity is directly concerned with a European measurement very disputed at the international level. The companies which refuse to subject to this system quotas could be excluded from the airspace. 1- Mobile phones could be charged by the power of speech : [25] For mobile phone users, a flat battery or lost chargers are among the frustrations of modern life. Now new research promises a way to recharge phones using nothing but the power of the human voice. Electrical engineers have developed a new technique for turning sound into electricity, allowing a mobile to be powered up while its user holds a conversation. The technology would also be able to harness background noise and even music to charge a phone while it is not in use. However, there could be a downside to the innovation, if it gives people a new reason to shout into their phones as they attempt to squeeze in every extra bit of power they can. Dr Sang-Woo Kim, who has been developing the design at the institute of nanotechnology at Sung kyun kwan University in Seoul, South Korea, said: "A number of approaches for scavenging energy from environments have been intensively explored. "The sound that always exists in our everyday life and environments has been overlooked as a source. This motivated us to realize power generation by turning sound energy from speech, music or noise into electrical power. "Sound power can be used for various novel applications including cellular phones that can be charged during conversations and sound-insulating walls near highways that generate electricity from the sound of passing vehicles. "The latter development would have the additional benefit of reducing noise levels near highways by absorbing the sound energy of vehicles." The technology uses tiny strands of zinc oxide sandwiched between two electrodes. A sound absorbing pad on top vibrates when sound waves hit it, causing the tiny zinc oxide wires to compress and release. This movement generates an electrical current that can then be used to charge a battery. 104 CHAPTER V CASE STUDY A prototype of the technology was able to convert sound of around 100 decibels - the equivalent of noisy traffic - to generate 50 millivolts of electricity. "This is not enough to charge a phone properly, but Dr Kim and his colleagues hope that by altering the material the wires are made from they will be able to produce more energy at lower sounds levels. He said: "Our current output performance can be applied to various electronic devices with lowpower consumption such as self-powered sensors and body-implantable tiny devices. We believe that we can realize more efficient sound-driven nano-generators." 2- Carbon Sequestration Storage: Carbon sequestration encompasses the processes of capturing and storing CO2 that would otherwise reside in the atmosphere for long periods of time. DOE is investigating a variety of carbon sequestration options. Geologic carbon sequestration involves the separation and capture of CO2 at the point of emissions from stationary sources followed by storage in deep underground geologic formations. Terrestrial carbon sequestration involves the net removal of CO2 from the atmosphere by plants during photosynthesis and its fixation in vegetative biomass and in soils.. Fig.V.9 Fig.V.9: CO2 Capture and Storage. 3- Agriculture and the exploitation of the forests: forests: (Protection of the forests) The text of the agreement of Copenhagen «admits the importance to reduce the emissions due to the deforestation and the degradation of the forests, and the need for improving elimination of gas for purpose of greenhouse by the forests ". It envisages «inciting «measurements to finance the protection of the forests with funds of the developed countries. 105 DISCUSSION AND VALIDATION Environmental Optimization of the Energy in an Electrical Network. CHAPTER VI DISCUSSION AND VALIDATION VI.1. VI.1. SYSTEMS AND SYSTEM MODELS: The word “system” has become very popular in recent years. It is used not only in engineering but also in science, economics, sociology, and even in politics. In spite of its common use (or perhaps because of it), the exact meaning of the term is not always fully understood. A system is defined as a combination of components that act together to perform a certain objective. A little more philosophically, a system can be understood as a conceptually isolated part of the universe that is of interest to us. Other parts of the universe that interact with the system comprise the system environment, or neighboring systems. [28] VI.2. VI.2. Optimization: Optimization is the term of ten used for minimizing or maximizing a function. It is sufficient to consider the problem of minimization only; maximization of F(x x) is achieved by simply minimizing −F(x x). In engineering, optimization is closely related to design. The function F(x x), called the merit function or objective function, is the quantity that we wish to keep as small as possible, such as cost or weight. The components of x, known as the design variables, are the quantities that we are free to adjust. Physical dimensions (lengths, areas, angles, etc.) are common examples of design variables. Optimization is a large topic. The best we can do in limited space is to introduce a few basic methods that are good enough for problems that are reasonably well behaved and don’t involve too many design variables. By omitting the more sophisticated methods, we may actually not miss all that much. All optimization algorithms are unreliable to a degree any one of them may work on one problem and fail on another. As a rule of thumb, by going up in sophistication we gain computational efficiency, but not necessarily reliability. The algorithms for minimization are iterative procedures that require starting values of the design variables x. If F(x x) has several local minima, the initial choice of x determines which of these will be computed. There is no guaranteed way of finding the global optimal point. One suggested procedure is to make several computer runs using different starting points and pick the best result. More often than not, the design is also subjected to restrictions, or constraints, which may have the form of equalities or inequalities. As an example, take the minimum weight design of a roof truss that has to carry a certain loading. Assume that the layout of the members is given, so that the design variables are the cross-sectional areas of the members. Here the design is dominated by inequality constraints that consist of prescribed upper limits on the stresses and possibly the displacements. The majority of available methods are designed for unconstrained optimization, where no restrictions are placed on the design variables. In these problems the minima, if they exit, are stationary points (points where gradient vector of F(x x) vanishes). In the more difficult problem of constrained optimization the minima are usually located where the F(x x) surface meets the constraints. There are special algorithms for constrained optimization, 106 CHAPTER VI DISCUSSION AND VALIDATION but they are not easily accessible due to their complexity and specialization. One way to tackle a problem with constraints is to use an unconstrained optimization algorithm, but modify the merit function so that any violation of constraints is heavily penalized. [27] VI.3 VI.3. Results and Discussion: VI.3.1. Calculation of CO2 emissions (ADE (ADE) DE) by the software: [28] Table VI VI.1: For a real consumption: (CO2 emissions of (ADE) by the software) Year real consumption (kWh) CO2 Eq. emission per kg CO2 Eq. emission per (t) ≈ 9 800 2007 14 237 956,00 9 795 714 ≈ 9 000 2008 13 242 953,00 9 111 152 ≈ 10 000 2009 15 017 788,00 10 332 238 ≈ 10 700 2010 15 536 615,00 10 689 191 ≈ 39 500 Total 58 035 312,00 39 928 295 Table.VI.2: For a real consumption: (CO2 emissions (ADE) According to the Summit of Copenhagen there is 3300 kWh electricity = 1000 kg of CO2) CO2 emission per (t) Year real consumption (kWh) CO2 emission per kg ≈ 4 315 2007 14 237 956,00 4 314 532,12 ≈ 4 013 2008 13 242 953,00 4 013 016,06 ≈ 5 000 2009 15 017 788,00 4 550 844,85 ≈ 5 000 2010 15 536 615,00 4 708 065,15 ≈ 18 300 Total 58 035 312,00 17 586 458,18 We have: 1 Tone of Eq. CO2 = 1 Tone of gas * GWP (Global Warming Potential). Table.VI.3: Global Warming Potential of gas: Gas CO2 CH4 NO2 HF6 GWP(For 1 21 310 140-11 700 100 Years) PFC SF6 6 500-9 200 23 900 From Table.VI.1 and Table.VI.2 we find that the emission of CO2 by using the software is greater than that of the use of data from the Copenhagen summit, since the software calculating the emission of all gases, against by the first calculation is only for the emission of CO2. That’s why we see that almost doubled quantities. VI.3.2. Carbon offsetting (Carbon compensation): International mobilization, especially around the IPCC scientists, challenged the policies that have created a first contract, the UNFCCC, and a second that depends on the Kyoto Protocol. It sets targets for reducing emissions for the six main greenhouse gas emissions by 2012. 107 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.4: Carbon compensation: Real Cons. Gases Gases years kwh Emission Compensation 195 914,28 € 2007 14 237 956,00 9 795 714 28 015 742,04 DA 182 223,04 € 2008 13 242 953,00 9 111 152 26 057 894,72 DA 206 644,76 € 2009 15 017 788,00 10 332 238 29 550 200,68 DA 213 783,82 € 2010 15 536 615,00 10 689 191 30 571 086,26 DA 58 035 312,00 € Total 58 035 312,00 39 928 295 8 299 049 616,00 DA OBS 5 442,06 times what the land can support per person per year for stop the increase in greenhouse. 5 061,75 times what the land can support per person per year for stop the increase in greenhouse. 5 740,13 times what the land can support per person per year for stop the increase in greenhouse. 5 938,43 times what the land can support per person per year for stop the increase in greenhouse. 798 565,90 times what the land can support per person per year for stop the increase in greenhouse.. From the table.VI.4 the emission of gases is quite important and it needs to reduce and offset. The principle of geographic neutrality is at the heart of the mechanisms established by the Kyoto Protocol. This text, written in 1997, defines the obligations of the signatory countries to fight against climate change and the means used, including the implementation of flexible mechanisms. The purpose is to give a price on carbon and put pressure on major emitters for that term, it is more profitable to reduce its own emissions than to buy carbon credits. For these we have 20 € (1 860 DA) per Tone of CO2 Eq. VI.3.3. Integration of renewable resources: resources: The management of energy adapted, through the optimization of the production with the integration of the renewable resources like a wind mill, panel’s photovoltaic... etc. Allows to decrease the total over cost binds to the fuel for the production (in any expenses of investment) and consequently the reduction of CO2 emission (less production = less emission), in our case, this optimization makes it possible to carry out an economy of: First we choose the year of 2010 for study; 108 CHAPTER VI DISCUSSION AND VALIDATION VI.3.3.1.The VI.3.3.1.The political solution: solution: Algerienne Des Eaux pays more than 476 638,22 DA (IAT) ≈ 3 333,13 € from 37 965 183,69 DA; whose it can’t pays all this amount, So it’s a gain witch realized if we terminate the contracts and when we need it for another time we must renew it automatically (find a solution between the two companies). VI.3.3.1.a/ VI.3.3.1.a/ The Economic solution: solution: 1.1. Revision of the power placed at the disposal (PPD): We made only 03 revisions of the PPD so we are realized the total gain of: (106 477,50 DA (ET) = 744,60 €). 1.2. Stops in the peak hours: We made Outages during the peak hours in the months (January, February, March, April, October, November and December) we realized the total gain of: VI 424 956,87 DA (ET) = 37 936,76 €. VI.3.3.1.b/ VI.3.3.1.b/ Solutions to be proposed: According to the proposed solutions; integration of renewable resources such as PV system for example. So we are going to use the (PVGIS) on line simulator; Photovoltaic Geographical Information System (PVGIS PVGIS) PVGIS provides a map-based inventory of solar energy resource and assessment of the electricity generation generation from photovoltaic systems in Europe, Africa, and South-West Asia. It is a part of the SOLAREC action that contributes to the implementation of renewable energy in the European Union as a sustainable and long-term energy supply by undertaking new S&T developments in fields where harmonization is required and requested by customers. VI.3 VI.3.4. Simulation Simulation Results: [29], [30]; [31] VI.3.4.1. VI.3.4.1. Free standing for 10% losses: losses: PVGIS estimates of solar electricity generation Location: 31°31'3" North, 2°45'58" West, Elevation: 690 m a.s.l., Nominal power of the PV system: 1.1 kW (crystalline silicon) Estimated losses due to temperature: 14.2% (using local ambient temperature) Estimated loss due to angular reflectance effects: 2.4% Other losses (cables, inverter etc.): 10.0% Combined PV system losses: 24.7% 109 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.5: Fixed system Fixed system: inclination=30 deg., orientation=orientation=-2 deg. (optimum) Month Ed Em Hd Hm Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year 4.79 5.22 5.91 6.01 5.64 5.37 5.20 5.00 5.03 4.60 4.35 4.36 5.12 149 146 183 180 175 161 161 155 151 143 130 135 156 1870 5.34 5.94 6.99 7.23 6.95 6.75 6.64 6.36 6.24 5.50 4.98 4.86 6.15 165 166 217 217 215 203 206 197 187 171 149 151 187 2240 Em per quarter 478 516 467 408 Table.VI.6: Table.VI.6: Vertical axis tracking system optimal Vertical axis tracking system optimal inclination=52° Month Ed Em Hd Hm Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year 6.13 6.64 7.80 8.13 7.97 7.64 7.16 6.52 6.35 5.71 5.45 5.54 6.75 190 186 242 244 247 229 222 202 191 177 163 172 205 2470 6.91 7.59 9.21 9.69 9.68 9.46 9.00 8.19 7.82 6.84 6.28 6.22 8.07 214 213 286 291 300 284 279 254 235 212 188 193 246 2950 110 Em per quarter 618 720 615 512 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.7: Table.VI.7: Inclined axis tracking system optimal. Inclined axis tracking system optimal inclination=32° Month Ed Em Hd Hm Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year 6.00 6.66 8.00 8.36 8.10 7.65 7.21 6.67 6.51 5.76 5.36 5.36 6.80 186 186 248 251 251 230 224 207 195 179 161 166 207 2480 6.70 7.58 9.47 10.00 9.86 9.48 9.09 8.40 8.04 6.88 6.13 5.96 8.13 208 212 294 300 306 284 282 260 241 213 184 185 247 2970 Em per quarter 620 732 626 506 Table.VI.8: Table.VI.8: 2-axis tracking system 2-axis tracking system Month Ed Em Hd Hm Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year 6.31 6.79 8.01 8.44 8.41 8.12 7.58 6.80 6.51 5.81 5.57 5.70 7.00 195 190 248 253 261 244 235 211 195 180 167 177 213 2560 7.12 7.76 9.48 10.10 10.30 10.20 9.62 8.60 8.04 6.95 6.42 6.41 8.42 221 217 294 304 320 305 298 266 241 216 192 199 256 3070 Em per quarter 633 758 641 524 Ed: Average daily electricity production from the given system (kWh). Em: Average monthly electricity production from the given system (kWh). Hd: Average daily sum of global irradiation per square meter received by the modules of the given system (kWh/m2). Hm: Average sum of global irradiation per square meter received by the modules of the given system (kWh/m2) 111 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.1. Monthly energy output from fixed-angle PV system Fig.VI.2 Fig.VI.2. Monthly in-plane irradiation for fixed angle 112 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.3 Fig.VI.3. Outline of horizon with sun path for winter and summer solstice VI.3.4.2. Building integration for 10% losses: PVGIS estimates of solar electricity generation: Location: 31°31'3" North, 2°45'58" West, Elevation: 690 m a.s.l., Nominal power of the PV system: 1.1 kW (crystalline silicon) Estimated losses due to temperature: 19.1% (using local ambient temperature) Estimated loss due to angular reflectance effects: 2.4% Other losses (cables, inverter etc.): 10.0% Combined PV system losses: 28.9% 113 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.9: Table.VI.9: Fixed system: inclination Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Fixed system: inclination=30 deg., orientation=orientation=-2 deg. (optimum) Ed Em Hd Hm 4.52 140 5.34 165 4.91 138 5.94 166 5.53 172 6.99 217 5.64 169 7.23 217 5.31 165 6.95 215 5.07 152 6.75 203 4.91 152 6.64 206 4.71 146 6.36 197 4.73 142 6.24 187 4.33 134 5.50 171 4.11 123 4.98 149 4.14 128 4.86 151 4.82 147 6.15 187 1760 2240 Table.VI.10: Table.VI.10: Vertical axis tracking system optimal Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Vertical axis tracking system optimal inclination=53 inclination=53° Ed Em Hd Hm 5.72 177 6.93 215 6.20 174 7.61 213 7.23 224 9.22 286 7.56 227 9.67 290 7.43 230 9.65 299 7.14 214 9.43 283 6.69 208 8.97 278 6.10 189 8.17 253 5.94 178 7.82 234 5.34 166 6.84 212 5.11 153 6.29 189 5.21 161 6.24 193 6.31 192 8.07 245 2300 2950 114 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.11: Table.VI.11: Inclined axis tracking system optimal Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Inclined axis tracking system optimal inclination=32° Ed Em Hd Hm 5.60 174 6.70 208 6.21 174 7.58 212 7.40 229 9.47 294 7.77 233 10.00 300 7.54 234 9.86 306 7.16 215 9.48 284 6.75 209 9.09 282 6.23 193 8.40 260 6.07 182 8.04 241 5.39 167 6.88 213 5.03 151 6.13 184 5.04 156 5.96 185 6.35 193 8.13 247 2320 2970 Table.VI.12: Table.VI.12: 2-axis tracking system 2-axis tracking system Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Ed 5.86 6.32 7.40 7.83 7.81 7.56 7.07 6.35 6.08 5.42 5.21 5.34 6.52 Em 182 177 230 235 242 227 219 197 182 168 156 165 198 2380 Hd 7.12 7.76 9.48 10.10 10.30 10.20 9.62 8.60 8.04 6.95 6.42 6.41 8.42 Hm 221 217 294 304 320 305 298 266 241 216 192 199 256 3070 Ed: Average daily electricity production from the given system (kWh). Em: Average monthly electricity production from the given system (kWh). Hd: Average daily sum of global irradiation per square meter received by the modules of the given system (kWh/m2). Hm: Average sum of global irradiation per square meter received by the modules of the given system (kWh/m2) 115 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.4 Fig.VI.4. Monthly energy output from fixed-angle PV system Fig.VI.5 Fig.VI.5. Monthly in-plane irradiation for fixed angle 116 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.6 Fig.VI.6. Outline of horizon with sun path for winter and summer solstice. VI.3.4.3. Free standing for 20% losses: PVGIS estimates of solar electricity generation: generation: Location: 31°31'3" North, 2°45'58" West, Elevation: 690 m a.s.l., Nominal power of the PV system: 1.1 kW (crystalline silicon) Estimated losses due to temperature: 14.2% (using local ambient temperature) Estimated loss due to angular reflectance effects: 2.4% Other losses (cables, inverter etc.): 20.0% Combined PV system losses: 33.0% 117 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.13: Table.VI.13: Fixed system Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Fixed system: inclination=30 deg., orientation=orientation=-2 deg. (optimum) Ed Em Hd Hm 4.26 132 5.34 165 4.64 130 5.94 166 5.26 163 6.99 217 5.35 160 7.23 217 5.02 156 6.95 215 4.77 143 6.75 203 4.62 143 6.64 206 4.45 138 6.36 197 4.47 134 6.24 187 4.09 127 5.50 171 3.86 116 498 149 3.88 120 4.86 151 4.55 139 6.15 187 1660 2240 Table.VI.1 Table.VI.14: Vertical axis tracking system optimal Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Vertical axis tracking system optimal inclination=52 inclination=52° Ed Em Hd Hm 5.45 169 6.91 214 5.91 165 7.59 213 6.94 215 9.21 286 7.23 217 9.69 291 7.09 220 9.68 300 6.79 204 9.46 284 6.36 197 9.00 279 5.80 180 8.19 254 5.65 169 7.82 235 5.08 157 6.84 212 4.84 145 6.28 188 4.93 153 6.22 193 6.00 183 8.07 246 2190 2950 118 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.15: Table.VI.15: Inclined axis tracking system optimal Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Inclined axis tracking system optimal inclination=32° Ed Em Hd Hm 5.33 165 6.70 208 5.92 166 7.58 212 7.11 220 9.47 294 7.43 223 10.00 300 7.20 223 9.86 306 6.80 204 9.48 284 6.41 199 9.09 282 5.93 184 8.40 260 5.78 174 8.04 241 5.12 159 6.88 213 4.76 143 6.13 184 4.76 148 5.96 185 6.05 184 8.13 247 2210 2970 Table.VI.16: Table.VI.16: 2-axis tracking system 2-axis tracking system Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Ed 5.61 6.03 7.12 7.50 7.48 7.22 6.74 6.05 5.79 5.16 4.95 5.07 6.23 Em 174 169 221 225 232 217 209 187 174 160 148 157 189 2270 Hd 7.12 7.76 9.48 10.10 10.30 10.20 9.62 8.60 8.04 6.95 6.42 6.41 8.42 Hm 221 217 294 304 320 305 298 266 241 216 192 199 256 3070 Ed: Average daily electricity production from the given system (kWh). Em: Average monthly electricity production from the given system (kWh). Hd: Average daily sum of global irradiation per square meter received by the modules of the given system (kWh/m2). Hm: Average sum of global irradiation per square meter received by the modules of the given system (kWh/m2) 119 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.7 Fig.VI.7. Monthly energy output from fixed-angle PV system Fig.VI.8 Fig.VI.8. Monthly in-plane irradiation for fixed angle 120 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.9 Fig.VI.9. Outline of horizon with sun path for winter and summer solstice VI.3.4.4. Building integration for 20% losses: PVGIS estimates of solar electricity generation: Location: 31°31'3" North, 2°45'58" West, Elevation: 690 m a.s.l., Nominal power of the PV system: 1.1 kW (crystalline silicon) Estimated losses due to temperature: 19.1% (using local ambient temperature) Estimated loss due to angular reflectance effects: 2.4% Other losses (cables, inverter etc.): 20.0% Combined PV system losses: 36.8% 121 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.17: Table.VI.17: Fixed system Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Fixed system: inclination=30 deg., orientation=orientation=-2 deg. (optimum) Ed Em Hd Hm 4.02 125 5.34 165 4.37 122 5.94 166 4.92 152 6.99 217 5.01 150 7.23 217 4.72 146 6.95 215 4.50 135 6.75 203 4.36 135 6.64 206 4.19 130 6.36 197 4.21 126 6.24 187 3.85 119 5.50 171 3.65 110 4.98 149 3.68 114 4.86 151 4.29 130 6.15 187 1570 2240 Table.VI.18: Table.VI.18: Vertical axis tracking system optimal Table.VI.18 Table.VI.18 Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Vertical axis tracking system optimal inclination=53 inclination=53° Ed Em Hd Hm 5.09 158 6.93 215 5.51 154 7.61 213 6.43 199 9.22 286 6.72 202 9.67 290 6.60 205 9.65 299 6.34 190 9.43 283 5.95 184 8.97 278 5.42 168 8.17 253 5.28 158 7.82 234 4.75 147 6.84 212 4.54 136 6.29 189 4.63 144 6.24 193 5.61 171 8.07 245 2050 2950 122 CHAPTER VI DISCUSSION AND VALIDATION Table.VI.19 Table.VI.19: Inclined axis tracking system optimal Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Inclined axis tracking system optimal inclination=32° Ed Em Hd Hm 4.98 154 6.70 208 5.52 155 7.58 212 6.58 204 9.47 294 6.90 207 10 300 6.71 208 9.86 306 6.36 191 9.48 284 6.00 186 9.09 282 5.54 172 8.40 260 5.40 162 8.04 241 4.79 148 6.88 213 4.47 134 6.13 184 4.48 139 5.96 185 5.64 172 8.13 247 2060 2970 Table.VI.20 Table.VI.20: 2-axis tracking system 2-axis tracking system Month Jan Feb March April May Jun Jul Aug Sept Oct Nov Dec Year Total for year Ed 5.21 5.62 6.58 6.96 6.94 6.72 6.28 5.64 5.40 4.82 4.63 4.74 5.80 Em 162 157 204 209 215 202 195 175 162 149 139 147 176 2120 Hd 7.12 7.76 9.48 10.10 10.30 10.20 9.62 8.60 8.04 6.95 6.42 6.41 8.42 Hm 221 217 294 304 320 305 298 266 241 216 192 199 256 3070 Ed: Average daily electricity production from the given system (kWh). Em: Average monthly electricity production from the given system (kWh). Hd: Average daily sum of global irradiation per square meter received by the modules of the given system (kWh/m2). Hm: Average sum of global irradiation per square meter received by the modules of the given system (kWh/m2) 123 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.10 Fig.VI.10. Monthly energy output from fixed-angle PV system Fig.VI.11 Fig.VI.11. Monthly in-plane irradiation for fixed angle 124 CHAPTER VI DISCUSSION AND VALIDATION Fig.VI.12 Fig.VI.12. Outline of horizon with sun path for winter and summer solstice VI.3.5 VI.3.5. Interpretation of results: results: We will try to simulate the results obtained in Chapter V (Case Study for the installation of a PV system) are four types (Free standing for 10% losses), (Building integration for 10% losses), (Free standing for 20% losses) and (Building integration for 20% losses); and after the simulation and a comparison between the four it was concluded that the simulation (Free standing for 10% losses) is the best with the results obtained that acceptable as a solution (integration of a renewable resource). According to the results of the simulation and the consumption of energy in (Algerienne Des Eaux); In the graph (VI.1) the average monthly electricity production from the given system (Em ) by month graphs have the same shape for the fixed system, vertical axis tracking system optimal, inclined axis tracking system optimal and for the 2-axis tracking system. That means that for a Saharan area as (Djorf Torba) the average sum of global irradiation per square meter received by the modules of the given system [graph (VI.2)] is in a maximum between March and July. Appearing in the Tab.V.5 and (Table.VI.5, Table.VI.6, Table.VI.7, Table.VI.8) we see that (ADE) consumes much more in the first and the second quarter period of the spring and summer (the graphs have the same shape), which can be produced and consume power only by the PV system 125 CHAPTER VI DISCUSSION AND VALIDATION in the two quarters (2nd and 3rd / between March and September) and can even occur in the peak hours and avoid outages. For the graph VI.3 describe the Outline of horizon with sun path for winter (21 December) and summer (21 June) solstice which is an astronomical event that happens twice each year when the Sun reaches its highest position in the sky as seen from the North or South Pole. The day of the solstice is either the "longest day of the year" or the "shortest day of the year" for any place on Earth, because the length of time between sunrise and sunset on that day is the yearly maximum or minimum for that place. VI.3.6 VI.3.6. Conclusion: Our problem is the reduction of greenhouse gas emissions, from a decrease in consumption by trying to achieve equality ( produce less = emissions less) that is to say we seek a solution that replaces fossil fuel production, which is the integration of a renewable resource, and then after the simulation and the results we had obtained graphs that have the same shape as the graphs of energy consumption of (ADE), where the period or consumption of (ADE) is the maximum PV system produces far more than the other periods which means that we can consume during production by the PV system or during scheduled stops (Stops in the peak hours). That achieves equality (less production = less emission); 126 Conclusion Environmental Optimization of the Energy in an Electrical Network. CHAPTER VII CONCLUSION Conclusions and Future Work: Work: I- Conclusions: Conclusions: In this final chapter, the importance, aims and outcomes of this research are highlighted and summarized. L’Algerienne Des Eaux (ADE) is one of the largest energy consumers in our town Bechar, annual consumption in excess of 50 thousand kilowatts, it is quite important especially for a CO2 emission which is more than 4 000 tons for each years. Indeed, the main aim of this research is to find solutions to environmental optimization of energy in the grid electricity (ADE), the obligation to reduce CO2 emissions. Where there are two out of the policy solution and the other economic. 1 - Policy: Is usually a major problem and it affects all Algerian companies because of mismanagement and financial losses over the losses in energy. Algerienne D’es Eaux (ADE) has twenty three subscription contracts where several contracts are off, and every month it pays more than 10 000 DA for nothing (losses in transformers) the only solution is to stop contracts and when it needs and it can automatically renew the course with less cost compared to a creation of a new contract since the two companies of the state; then we must see this problem since the (ADE) prefer to keep the contracts in place to stop to cancel because of the renewal fee, for against her monthly expenses and more (over 120 000 AD each year), (mismanagement). 2 - Economic: a) - Revision of the power placed at the disposal: disposal: (PPD), which is larger than necessary; So (ADE) does not know its energy needs, all of which must be just see all the history of the energy consumption of all equipment to choose the powers available. In the year 2010 we are made 03 revisions of the PPD so we are realized the total gain of: (106 477,50 DA = 744,60 €). b) - Stops in the peak hours: hours: Even though the hours are peak hours but are more expensive in the hourly positions then tries to consume energy in the off-peak Hours or the Full Hours (gain). 127 CHAPTER VII CONCLUSION We made Outages during the peak hours in the months (January, February, March, April, October, November and December) (only 07 Months in the year 2010); so we realized the total gain of: 5 424 956,87 DA = 37 936,76 936,76 €. So just the revisions of tree PPD we realized the total gain of :(( 106 477,50 DA= 744,60 €) and outages during the peak hours only 07 Months in the year 2010 we realized the total gain of: 5 424 956,87 DA = 37 936,76 €. c)- Reduce the consumption of reactive power by the use of capacitor banks; d) - Solutions to be proposed: proposed The inclusion of distributed generation, distributed and renewable energy and seems economically attractive. It is true that the installation of a renewable resource that is too expensive but if you follow good energy balance of (ADE) many of the charges and fees for anything, and we noticed a lot of losses in the energy and even financial, hence our study and we realized a gain very important for all solutions was distinguished. On the other hand and according to a detailed simulation although we had some good results, for integration of a renewable resource which is a PV system and we managed to have a great result for the period (the second and the third quarter); (ADE) (Station de Traitement Djorf Torba) consumes a lot more than other periods; our PV system produces much longer which means that our peak consumption going decreased (the graphs have the same shape). Also the monthly energy output from fixed-angle PV system for the 2 axis tracking system is more than the (inclined axis tracking system {32°}, vertical axis tracking system optimal {51°} and fixed system {30°}) Our problem is the reduction of greenhouse gas emissions, from the decrease in consumption by trying to achieve equality (less production = less emission) in which based on the quality of energy, control of energy and the energy management and to satisfy demand and maintaining ∑ feasible and controllable, for equal balance equation ∑ with a total cost our case study ADE has many problems and among them the massive consumption of active and reactive power in excess of more than 13 million Kwh; 10 million kvar per year, then we must seek solutions to optimize it, on the other hand we can also integrate other renewable resources like wind farm, biomass…etc. And after all these solutions we wanted to reduce the use of ADE from the reduction of fossil fuel production and integration of renewable resources that are cleaner to reduce the emission of greenhouse gases (reduce CO2 emissions), and achieve equality: Less Production = less Emission. 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