Techno-economic analysis of sustainable and smart energy
Transcription
Techno-economic analysis of sustainable and smart energy
Techno-economic analysis of sustainable and smart energy systems in Germany Subhash Kumar, Maximilian Loosen, Reinhard Madlener Institute for Future Energy Consumer and Behavior (FCN) School of Business and Economics / E.ON Energy Research Center RWTH Aachen University, Mathieustr. 10, 52074 Aachen, Germany The Swedish Association for Energy Economics (SAEE) Conference, Lulea , August 23-24, 2016 Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 The Energiewende Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Introduction Reliable and economically viable energy supply system Nuclear phase-out by 2022 80–95% reduction of CO2 emissions compared to 1990 50% reduction of primary energy supply by 2050 compared to 2008 > 80% of renewable power generation by 2050 Improvement of energy productivity by 2.1% per year A sustainable, economically viable and environmentally friendly energy system is a necessity! Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Electricity generation in Germany ■ Total electricity generation = 558.6 TWh, Renewables =198.2 TWh ■ Renewables made up around 35% of public net power supply Electricity Production 2015 Hydro 10% Nuclear 16% Renewable 35% Brown coal 25% Gas 5% Hard coal 19% Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Biomass 28% Solar 19% Renewables 2015 Wind 43% Methodology: EnergyPlan Software The EnergyPLAN model is a deterministic input/output computer model designed for energy systems analysis. It is a deterministic model which optimizes the operation of a given energy system on the basis of inputs and outputs defined by the user. The main purpose of the model is to assist the design of national or regional energy planning strategies on the basis of technical and economic analyses of the consequences of implementing different energy systems and investments. The model encompasses the whole national or regional energy system including heat and electricity supplies as well as the transport and industrial sectors. General inputs are demands, renewable energy sources, energy station capacities, costs and a number of optional different regulation strategies emphasising import/export and excess electricity production. Outputs are energy balances and resulting annual productions, fuel consumption, import/export of electricity, and total costs including income from the exchange of electricity. Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Methodology: EnergyPlan Software Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 EnergyPlan Software Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Intermittency in wind and solar power output Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Energy system Traditional energy systems • Separation of energy sectors • Supply side flexibility • Centralized approach Future, smart energy systems Interconnecting energy sectors Demand side flexibility Energy Storages Decentralized approach Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Scenario development • 3 scenarios Reference Alternative A Alternative B • Each scenario consists of 5 simulations on an hour-by-hour basis 2010 2020 2030 2040 2050 Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Main general assumptions • Electricity, heating and transport demand is based on government studies • Electricity & heating demand, solar radiation, hydro & wind intensity and EV charging cycles are accounted for on an hour-by hour basis • Fuel and energy system costs are constant (using 2010 price levels) • Component efficiencies stay constant (except average PP efficiencies) • Maximum electricity import/export is capped at 20TWh per year • Grid stabilization share of 10 percent (except in alternative B) • CO2 certificate price rises in all scenarios to 76€/MT CO2 in 2050 • Onshore/Offshore wind <-> solar ratio is based on Fraunhofer study • Nuclear phase-out is implemented in all scenarios Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Electricity consumption Electricity consumption in TWh per year Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Reference and alternative A scenario Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative B scenario Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Reference scenario Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Reference scenario... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Reference scenario... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative A scenario Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative A scenario.... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative A scenario... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative B scenario Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative B scenario... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Alternative B scenario... Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Conclusions • All energy sectors need to change in order to achieve Energiewende goals • Electricity sector will gain in importance • Consistent buildout of wind and solar energy has to occur Increase and stabilization of CO2 certificate prices • Energy sector with biggest saving potential: heating sector • Transition appliances from fossil to biomass use • EnergyPlan error report The Energiewende goals, e.g. the decarbonisation of the German energy system is technically and economically possible and also worthwhile, if this transition is supported by political and public willingness Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Thank you so much for your kind attention! Any questions ? Contact Institute for Future Energy Consumer Needs and Behavior (FCN) E.ON Energy Research Center Mathieustraße 10, 52074 Aachen Germany Techno-economic analysis of sustainable and smart energy systems in Germany | Subhash Kumar, Maximillian Loosen, Reinhard Madlener | SAEE 2016, Lulea | 24.08.2016 Subhash Kumar T +49 241 80 49840 F +49 241 80 49829 [email protected] http://www.eonerc.rwth-aachen.de