P-graph - Intensified Heat Transfer Technologies for Enhanced Heat

Transcription

EC FP7 project “Intensified Heat Transfer Technologies
for Enhanced Heat Recovery” – INTHEAT
Grant Agreement No.262205
Project Meeting May 16, 2012
Jiří Jaromír Klemeš, Petar Sabev Varbanov, Ferenc Friedler
Centre for Process Integration and Intensification – CPI2, Research
Institute of Chemical and Process Engineering, Faculty of Information
Technology, University of Pannonia, Veszprém, Hungary
CPI2
Overview of the tasks
involving UNIPAN for the previous period
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INTHEAT GA 262205, Meeting, May, 2012
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UNIPAN Tasks
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WP 4 “Design, retrofit and control of intensified heat
recovery networks”
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Task 4.1: “Development of a streamlined and
computationally efficient methodology for design of HENs“
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Deliverable D4.1 due in month 9 (August 2011)
(COMPLETED, being used and implemented by SODRU
and OIKOS)
“Report on design methodology for new heat exchanger networks using
P-graph and the ABB (Accelerated Branch-and-Bound) optimisation
algorithm”
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WP 6 “Technology transfer”
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Task 6.2: “Dissemination events” : “Intensified heat
exchangers – Novel developments (Information day for
major stakeholders) (organisers: UNIPAN, PIL, UNIMAN)”
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Deliverable D6.3 (COMPLETED – 2 events)
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Deliverable D6.3 (COMPLETED 2 events)
PRES’11 conference, held in
Florence – Italy, 8-11 May 2011
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Special Session at SDEWES 2011, held
from September 25 to 29, 2011, in
Dubrovnik – Croatia
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PRES’11, Florence – Italy, 8-11 May 2011
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Presented - conference topic “Heat Exchangers as Equipment
and Integrated Items”:
“THE HEAT AND MOMENTUM TRANSFERS RELATION IN
CHANNELS OF PLATE HEAT EXCHANGERS”, developed by
Kapustenko P., Arsenyeva O., Dolgonosova O.
“THE GENERALIZED CORRELATION FOR FRICTION
FACTOR IN CRISS-CROSS FLOW CHANNELS OF PLATE
HEAT EXCHANGERS”, developed by Arsenyeva O.,
Tovazhnyansky L., Kapustenko P., Khavin G.
“IMPROVING ENERGY RECOVERY IN HEAT EXCHANGER
NETWORK WITH INTENSIFIED TUBE-SIDE HEAT
TRANSFER”, Pan M., Bulatov I., Smith R., Kim J.K.
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Special Session at SDEWES 2011”
INTHEAT Partners
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SDEWES11-0147 Structured Multimedia Education in
Energy and Water Use Optimisation (Jiri Klemes*, Zdravko
Kravanja, Petar Varbanov, Hon Loong Lam)
SDEWES11-0148 The Dynamic Total Site Heat Cascade for
Integration and Management of Renewables with Variable
Supply and Demand (Petar Varbanov*, Andreja Nemet, Jiri
Klemes)
SDEWES11-0031 Sustaining High Energy Efficiency in
Existing Processes with Advanced Process Integration
Technology (Nan Zhang*, Jiri Klemes)
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Special Session at SDEWES 2011: Other
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SDEWES11-0895 Advanced Optimisation and Control of Energy Systems (Michael Georgiadis*, Efstratios
Pistikopoulos)
SDEWES11-0006 The Question of the Use of Non-traditional Energy Sources in Light of the New Energy
Strategy for EUROPE 2011-2020 (Karoly Nagy*, Krisztina Körmendi)
SDEWES11-0908 Integration of Industrial Waste Oil, Biomass and Municipal Wastes into Malaysian Urban
Area Energy Supply Chain (Hon Loong Lam*, Mustafar Kamal, Dominic C. Y Foo, Denny K.s Ng, Mimi
Hassim)
SDEWES11-0010 IDENTIFICATION OF THE INFLUENCE OF FOULING ON THE HEAT RECOVERY IN A
HEAT EXCHANGER NETWORK (Krzysztof Urbaniec*, Mariusz Markowski, Marian Trafczynski)
SDEWES11-0041 LCA-Based Mathematical Programming Approach to Sustainable System Synthesis
(Zdravko Kravanja*, Lidija Čuček)
SDEWES11-0039 KINETIC ANALYSIS AND SAFETY IMPLICATIONS IN BIODIESEL
TRANSESTERIFICATION PRODUCTION PROCESS (Bruno Fabiano*, Andrea P. Reverberi, Adriana Del
Borghi, Vincenzo Dovì)
SDEWES11-0651 WATER-ENERGY CAPITAL: SUSTAINABILITY IMPLICATIONS THROUGH THE
IMPLEMENTATION OF WATER ALLOCATION IN TIAM-FR ENERGY MODEL. (Aurelie Dubreuil*, Edi
Assoumou, Sandrine Selosse, Stephanie Bouckaert, Nadia Maizi)
SDEWES11-0272 Ecological Footprint as a tool for Integrated Coastal Zone Management (Sofia
Kessopoulou, Dora Papatheochari*)
SDEWES11-0487 Operating Conditions of a CFB Biomass Gasifier to Produce Low-tar Syngas (Shiva
Mahmoudi*, Jonathan Seville, Jan Baeyens)
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Deliverable D4.1
Development of a streamlined and
computationally efficient methodology for
design of HENs
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Introduction
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Main Approaches
Classic approach to process synthesis
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Analyse a base case scenario
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Evaluate the expected process variations
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Prepare a representative base case for HEN synthesis
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Synthesise a heat exchanger network
The main approaches use different views of the system
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Insight-based : exploit thermodynamic insights such as
the heat recovery pinch and its associated targets
Superstructure-based: a reducible network including all
possible options and then optimise and reduce it
Hybrid: combine the thermodynamic insights and the use
of superstructures
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Classical HEN Synthesis
Pinch design method
Specify the heat
recovery
problem
Pinch Analysis
• Linnhoff and Hindmarsh (1983)
• Follow-ups and elaborations
 Capital and total cost targets (Linnhoff and Ahmad,
1990)
 Block Decomposition method (Zhu 1997)
 Total Sites (Klemeš et al., 1997)
Obtain MER
topology
 Total Sites integrating renewables (Perry et al., 2008)
• Mathematical Programming
Evolve the
network
• E.g. Yee and Grossmann (1990)
Yee, T. F., Grossmann I. E., 1990, Simultaneous optimization models for heat
integration—II. Heat exchanger network synthesis, Computers & Chemical Engineering
14(10):1165-1184.
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Comparison of Approaches
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Pinch design method
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A suite of techniques for HEN synthesis and process changes
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Based on the pinch division and pinch design rules
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Generates MER networks and evolves them
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The networks may be inflexible
Superstructure-based approaches
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Build, optimise and reduce a superstructure
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MILP and MINLP superstructure formulations are possible
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Can treat multiple heat exchanger types non-isothermal mixing
Hybrid approaches
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Attempt to combine the insights of the Pinch Analysis with the strengths
of the superstructure construction and reduction
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Need for a rigorous synthesis tool
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Complexity caused by combining continuous and
combinatorial aspects
Combinatorial complexity increases exponentially with the
number of streams and periods
MP – moderate success in reducing superstructures
Very few applications of constructing the superstructures
using MP are known
Solvers examine topologically clearly infeasible
combinations of integer variable values
Rather difficult to build the necessary problem
superstructures without rigorous combinatorial tools
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P-graph for HEN Synthesis
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HE representation with P-graph
Grid-diagram representation
P-graph
P-graph is a bi-partite graph. It features 2 vertex types:
materials (streams) and operating units
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P-graph Example
BM
25.9 MW
BMG
0.6 t/h
2.1 t/h
BR
26.0 MW
16.8
MW
RSG
SGF
16.7
MW
8·10-3 t/h
PR
BGD
0.7 t/h
2.0 t/h
CO2
BG
0.17
t/h
15.1
MW
BLR_BG
SG
FCCC_60
(MCFC+ST)
12.8 MW
2.2 MW
Q40
LD_40_5
W
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10.0 MW
Q5
FRT
Streams / Materials
BG:
Biogas
BM:
Biomass
BR:
Biomass residues
FRT:
Fertiliser
SG:
Syngas
PR:
Particulate matter
Q40:
Steam at 40 bar
Q5:
Steam at 5 bar
RSG:
Raw syngas
W:
Electrical power
Operations
BGD:
Biogas digester
BMG:
Biomass gasifier
SGF:
Syngas filter
FCCC:
Fuel Cell Combined Cycle
BLR_BG: Biogas boiler
LD_40_5: Letdown station
15.0 MW
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P-graph Combinatorial instruments
Axioms ensuring combinatorially feasible structures
Maximal Structure Generation (MSG) algorithm –
builds the union of all combinatorially feasible network
structures
Solution Structures Generation (SSG) – generates all
combinatorially feasible network structures from the
maximal one
ABB: Accelerated Branch-and-Bound algorithm.
Combines the “branch-and-bound” search strategy with
the SSG logic
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P-graph foundation: axioms
Ensuring a combinatorially feasible structure:
(S1) Every product is included in the structure
(S2) A raw material can’t be an output of any operating
unit in the structure
(S3) Every operating unit is defined in the synthesis
problem
(S4) At least one path from any operating unit leading to
a product
(S5) Every stream belonging to the structure must
consumed or produced by at least one operating unit
from the structure
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P-graph algorithms:
Maximal Structure Generation (MSG)
Problem Formulation
Reduction part
Consistent
sets O & M
Problem Formulation

set of raw materials

set of products

set of candidate operating
units
Maximal Structure

Union of all combinatorially
feasible structures

Rigorous super-structure
Composition part
Legend:
Maximal Structure
O: set of operating units
M: set of materials
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P-graph algorithms:
Solution Structures Generation (SSG)
Start from products
Add units producing
Solution Structure
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New decision mapping
for every decision branch
Decision Mapping
Invoke SSG
(Recursion)

All Solution Structures
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A combinatorially feasible
network of materials and
operating units
A mathematical
representation of a
process network – either
incomplete, or a solution
structure
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ABB Algorithm – Even Faster Search
• Employs the “branch-and-bound” strategy
• Combines this with the P-graph logic (SSG algorithm)
• Ensures combinatorial feasibility
• Non-optimal decisions are eliminated
• It is possible to select a set of solution structures which are
optimal or near-optimal
1
1.1
1.2
1.3
1.1.1
1.1.2 1.1.3 1.3.1 1.3.2 1.3.3
1.1.1.1
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ABB: Accelerated Branch-and-Bound
Further acceleration of the synthesis procedure
1.1.1.2
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PNS Paradigms
Example from Reactor Networks
Network Model
Formulation
Complexity
(Solution Speed)
Example: separation
sequence synthesis
Interpretation of
results
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Conventional MP
(MILP, MINLP)
P-graph
(MSG, SSG, ABB)
Mostly MANUAL
ALGORITHMIC
Automation allowing user
interaction
34 Billion
possible
combinations
3,465 combinatorially
feasible structures
106 ratio
(6 orders of magnitude)
Flowsheets
Flowsheets and P-graphs
(only)
Easier to spot structural
patterns
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Extensions developed: hP-graph
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Flowsheet example
An optimal process is to
be synthesised to
produce material M1 at
a rate of 100 t/y by
taking into account both
the cost of the process
and that of its heat
recovery network.
The diagram shows the
maximal structure
(Friedler et al., 1993) of
the process network
alone.
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Operating Parameter Specifications
Parameters pertaining to the operating units
No.
1
2
3
4
5
6
7
Latent
heat
temperature (°C)
80
-
Latent
heat
source (MJ/h)
20
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Input streams (t/h, °C)
M3 (3, 70)
M4 (1.5, -)
M5 (1,-); M6 (1, 80)
M6 (0.3, -); M7 (1.7, -)
M7 (2,-); M8 (1,-);
M9 (1,-)
M10 (1.2, -); M10 (0.8, -)
Output streams
(t/h, °C)
M1 (2,-); M6 (1,90)
M1 (1,-); M2 (0.5,-)
M3 (2, 60)
M3 (1, 90); M4 (1, -)
M4 (3, -)
M6 (1, 55)
M8 (2, -)
The raw materials
Name
M5
M7
M9
M10
M11
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Price (US$/t)
140
200
250
50
70
Maximum flow (t/y)
Unlimited
Unlimited
Unlimited
Unlimited
Unlimited
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Capital Cost Parameters
Capital cost calculation
Operating
units
1
2
3
4
5
6
7
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UCost 
Ia  Ib  x
 Oa  Obx
Payout
Investment cost (US$)
Ia
Ib
7,500
1,200
3,800
1,000
8,000
1,000
15,000
1,500
10,000
1,500
3,000
750
5,000
800
Operating Cost (US$/y)
Oa
Ob
500
160
140
250
400
170
500
100
900
300
200
100
700
160
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hP-graph: definition
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hP-graph is a
special sub-class
of P-graph
containing both
operating and
heat-exchanging
units
Heating: solid
lower half
Cooling: solid
upper half
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Solution with ABB Algotithm
1
1.1
1.2
1.3
1.1.1
1.1.2
1.1.1.1
1.1.3 1.3.1
1.3.2
1.3.3
1.1.1.2
At each calculation node a synthesis sub-problem is solved
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Process streams at Node 1
Specifications of the process streams
Stream
S1
S2
S3
S4
Type
Hot
Hot
Cold
Cold
Material
M3
M6
M3
M6
TS (°C)
90
90
60
55
TT (°C)
70
80
70
80
Also there is a source of latent heat
Stream
LH1
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Type
Hot latent
Operating unit
3
T (°C)
80
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Identification of component sub-streams
and the superstructure
T (°C)
Hot utility
100
I5
90
(M6) (M3)
S1 S2
I4
70
65
20
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(M3)
S3
LH1
80
I3
(M6)
S4
FSH2
SSH1
SSC5
SSC9
SSC7
SSC6
I2
I1
Cold utility
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Optimal heat exchange
The optimal HEN has Total Cost = 51,534 US$/y
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Industrial Example
Toluene-hydrodealkylation of the (HDA) process
Toluene + H2 → Benzene + CH4
2 Benzene ↔ Diphenyl + H2
Gas recycle
Purge H2, CH4
Benzene
H2, CH4
Toluene
Reactor
Separation
System
Diphenyl
Toluene recycle
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HDA Process Superstructure
Notation:
Heating
Compressor
Cooling
HM
H2 Feed
Toluene Feed
Reactor
P
u
m
p
B
T
B
D
HM
B
B
S
e
p
a
r
a
t
o
r
S
e
p
a
r
a
t
o
r
D
Flash
S
e
p
a
r
a
t
o
r
BTD
HMBTD
TD
BTD
BTD
HM
T
S
e
p
a
r
a
t
o
r
D
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TD
B
S
e
p
a
r
a
t
o
r
HMBTD
TD
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Optimal Flowsheet
Notation:
Heating
Compressor
Cooling
HM
H2 Feed
Toluene Feed
Reactor
P
u
m
p
HM
B
S
e
p
a
r
a
t
o
r
T
B
D
Flash
BTD
S
e
p
a
r
a
t
o
r
HMBTD
TD
BTD
T
S
e
p
a
r
a
t
o
r
TD
D
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Conclusions for D4.1
Most currently available methods for HEN design are
based on mathematical programming
Few are using evolutional and random-search
algorithms
The superstructure-based methods are not practical for
generation of the superstructures
The P-graph framework offers algorithmic construction
of the superstructures and combinatorially efficient
reduction of the search space presented to the
optimisation solvers
A case study has shown promising results
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Involvement in Other Tasks
UNIPAN has also provided assistance and expertise in the
following tasks, as requested by the WP leaders
Completed
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Task 1.2 “CFD research on heat transfer”, Deliverable D1.2
Task 2.2 “Heat transfer enhancement for the shell-side of heat”,
Deliverable D2.2
Ongoing
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Task 4.2 “A systematic retrofit procedure will be developed to
account for heat exchanger networks prone to fouling
deposition.”, Deliverable D4.2
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Work for the next period until month 24
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Work for the current period: WP 4

Task 4.2 “Design, retrofit and control of intensified heat
recovery networks”
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Task 4.3 “Development of a software tool”
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CPI2
Deliverable D4.2 “Report on retrofit procedure for heat
exchanger networks prone to fouling deposition” , Due in
month 14 (January 2012). The report has been delivered by
UNIMAN with help from UNIPAN, SORDU and OIKOS.
Deliverable D4.3 (Due in Month 24 – November 2012)
“Software tool for screening and analysis design and retrofit
HEN options taking into account the intensified heat
exchanger parameters and the software User Guide”. The
software is being developed by UNIMAN. UNIPAN is
providing the necessary support for implementing the
expertise on combinatorial graphs.
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Task 5.2 “Demonstration and application of intensified heat
exchangers to oil/petrochemical industries”
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Task 5.3 “Demonstration and application of intensified heat
exchangers to food industries”
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Deliverable D5.2 “Report on case studies with achieved
benefits (Oil/petrochemical sector)” , Due in month 24
(November 2012). UNIPAN is assisting UNIMAN, SODRU,
EMBAFFLE, CALGAVIN
Deliverable D5.3 “Report on case studies with achieved
benefits (Food sector)”. Due in month 24 (November 2012).
UNIPAN is assisting UNIMAN, OIKOS, EMBAFFLE,
SODRU, CALGAVIN.
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
Task 6.4 / Deliverable D6.1 “Training Workshop” has been
successfully organised in collaboration with CAPE Forum
2012
Invited speakers
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Monday, 26/03/2012, 14:00 - 14:50, Petr Stehlik
CAPE2012-P-007: CAPE for Waste to Energy
Tuesday, 27/03/2012, 09:00 - 09:50, David J. Kukulka
CAPE2012-P-001: Compound Heat Transfer Enhancement Methods To
Increase Heat Exchanger Efficiency
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Tuesday, 27/03/2012, 10:00 - 10:50, Quiwang Wang
CAPE2012-P-003: Heat transfer and stress analysis for a high temperature
heat exchanger with inner and outer fins
Wednesday, 28/03/2012, 10:00 - 10:50, Petro Kapustenko
CAPE2012-P-008: Application of process integration and enhanced heat
transfer technologies to improve energy efficiency in buildings
40
(Continued)
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Task 6.4 / Deliverable D6.1 “Training Workshop” has been
successfully organised in collaboration with CAPE Forum
2012
Monday, 26/03/2012 INTHEAT D6.1: Training Workshop
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15:00 - 15:20, Igor Bulatov
INTHEAT-D6.1-01: M. Pan, R. Smith, I. Bulatov. Improving heat recovery of
heat exchanger network with intensified heat transfer
15:20 - 15:40, Andreja Nemet
INTHEAT-D6.1-02: A. Nemet, P. S. Varbanov, P. Kapustenko , A.
Durgutovic , J. J. Klemes. Capital Cost Targeting of Total Site Heat
Recovery
15:40 - 16:00, Philip Voll
CAPE2012-001: P. Voll, C. Klaffke, M. Hennen and A. Bardow. Automated
Superstructure Generation and Optimization of Distributed Energy Supply
Systems
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(Continued)
Monday, 26/03/2012 INTHEAT D6.1: Training Workshop
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16:20 - 16:40, Olga Arsenyeva
INTHEAT-D6.1-03: O. Demirskyy, O. Arsenyeva, L. Tovazhnyanskyy, P.
Kapustenko, G.Khavin. Estimation of Plate-and-Frame Heat Exchanger
surface area targets for specific process conditions
16:40 - 17:00, Valeriy Ved
CAPE2012-005: E.V. Krasnokutskii, L.L. Tovazhnyanskii, V. E. Ved’, V.A.
Koshchii. Modeling of Conversion Processes of Harmful Exhaust Gases of
Internal Combustion Engines
17:00 - 17:20, Olena Valeriyovna Ved
CAPE2012-006: O.V. Ved, L.L. Tovazhnyanskii, Y.A. Tolchinskii. Model of
Co Pre-oxidation Concentrated on Surface of Catalyst and Dimensional
Dispersion on Macro Level of Catalyst Capacity
17:20 - 17:40, Mengyan Yang and Barry Crittenden
INTHEAT-D6.1-04: M. Yang, B. Crittenden, M. Gough, P. Droegemueller, T.
Higley. Performance Parameters of Tubes Fitted with Inserts
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Task 6.4 / Deliverable D6.1
“Training Workshop”
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Task 6.2 “Dissemination events”
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Deliverable D6.3 “Four dissemination events” , Two more
events at recognised conferences are being organised by
UNIPAN with assistance form all other partners

PRES 2012 in Prague – Czech Republic (25-29 August
2012)

SDEWES 2012 in Ohrid – Macedonia (session will be on 4-5
July 2012)

The PRES 2012 Special Issue of Applied Thermal
Engineering will be used to consolidate the outreach
messages with full size articles
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PRES 2012: The Plenary from INTHEAT
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PRES 2012: Dedicated INTHEAT session
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0121. Tovazhnyansky L., Klemes J.J., Boldyryev S.*,
Kapustenko P., Garev A., Perevertaylenko O., Khavin G.,
Arsenyeva O., Ammonia refrigeration cycle integration in
buildings heating system.
0151. Kapustenko P.*, Tovazhnyansky L., Arsenyeva O,
Yuzbashyan A., Mitigation of fouling in plate heat exchangers
for process industries.
0188. Pan M.*, Bulatov I., Smith R., Retrofit procedure for
intensifying heat transfer in heat exchanger networks prone to
fouling deposition.
0249. Nemet A.*, Varbanov P.S., Kapustenko P., Durgutovic A.,
Klemes J.J., Capital cost targeting of total site heat recovery.
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0632. Nemet A.*, Hegyhati M., Klemes J.J., Friedler F.,
Increasing solar energy utilisation by rescheduling operations
with heat and electricity demand.
0684. Yang M., Wood Z., Rickard B., Crittenden B.*, Gough M.,
Droegemueller P., Higley T., Effect of turbulence enhancement
on crude oil fouling in a batch stirred cell.
798. Law R.*, Harvey A., Reay D. A knowledge-based system
for the selection of low-grade waste-heat recovery technology.
1232. Steube J.*, Lautenschleger A., Piper M., Boe D., Weimer
T., Kenig E., CFD-based optimisation of spiral-wound heat
exchanger geometry.
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SDEWES 2012
Ohrid – Republic of Macedonia (FYROM)
July 1-6, 2012
July 1-6, 2012
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SDEWES 2012 INTHEAT Special Session
• 9 presentations will be delivered within the Special
Session by INTHEAT partners
• Discussions with leading experts will be also held
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SDEWES 2012 INTHEAT Presentations
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SDEWES12-0033. A novel optimization approach of improving energy
recovery in retrofitting heat exchanger network with exchanger details
Ming Pan*, Robin Smith, Igor Bulatov
SDEWES12-0055. Calcium Sulphate Fouling in a Batch Stirred Cell
Mengyan Yang*, Andy Young, Jack Jones, Rob Hanson, Barry
Crittenden
SDEWES12-0085. Oil Palm Biomass Corridor to Promote Malaysia Green
Economy
Hon Loong Lam, Wendy P. Q. Ng, Rex T. L. Ng, Denny K.s Ng, Mustafar
Kamal, Michael F. Y Ng, Joseph H. E. Lim, Petar Varbanov*
SDEWES12-0126. Ways to optimise the energy balance of municipal
wastewater systems
Otto Nowak*, Peter Enderle
SDEWES12-0153. Water Efficiency Indicators in Croatian Manufacturing:
Some Lessons and Policy implications
Željka Kordej-De Villa*, Ivana Rašić Bakarić
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


CPI2
SDEWES12-0247. Improved Targeting of Industrial Total Sites
Accounting for Different Heat Transfer Properties
Petar Varbanov*, Jiří Jaromír Klemeš, Simon Perry
SDEWES12-0248. Principles for Sustainability in Modern State-building for
Efficient Energy and Water Supply
Karoly Nagy*, Jiří Jaromír Klemeš, Petar Varbanov
SDEWES12-0278. The influence of plate corrugations geometry on
Plate Heat Exchanger performance in specified process conditions
Olga Arsenyeva, Petro Kapustenko*, Leonid Tovazhnyanskyy, Svetlana
Buhkalo, Gennadiy Khavin
SDEWES12-0298. A Holistic Process Integration Approach for Regional
Carbon Planning from Stationery Point Sources
Zainuddin Manan*, Sharifah Wan Alwi, Muhammad Munir Sadiq
SDEWES12-0328. Increasing economic potential for process heat
recovery by optimising HEN designs over a full lifetime
Andreja Nemet, Jiří Jaromír Klemeš, Zdravko Kravanja*
52





CPI2
SDEWES12-0354. Energy saving processes of biofuel production from
fermentation broth
Endre Nagy*
SDEWES12-0360. Full Scale Plume Rise Modeling in Calm and Low Wind
Velocity Conditions
Nikolay Kozarev*, Nina Ilieva
SDEWES12-0362. Potential Maximum C Stores in St. Petersburg Region
Anatoly Gryazkin*, Nataliia Beliaeva, Anna Fetisova, Irena Kasi, Taisiia
Ishchuk
SDEWES12-0364. The Logging Waste as Inexhaustible Resource for
Alternative Energy
Nataliia Beliaeva, Anatoly Gryazkin*, Sergey Vavilov, Nikolay Kovalev, Anna
Fetisova
SDEWES12-0380. Rescheduling operations demands to increase solar
energy utilisation
Andreja Nemet*, Máté Hegyháti, Jiří Jaromír Klemeš, Ferenc Friedler
53







SDEWES12-0460. Technical innovation for heat transfer intensification for heat
recovery
Ming Pan*, Robin Smith, Igor Bulatov, Martin Gough, Tom Higley, Peter Droegemueller
SDEWES12-0462. Estimating benefits of heat transfer enhancement in HEN design
Olga Arsenyeva, Petro Kapustenko*, Robin Smith, Igor Bulatov
SDEWES12-0490. Process integration in biodiesel production
Valentin Plesu*, Gheorghe Bumbac
SDEWES12-0491. Carbon Dioxide Capture by Microalgae in a Photobioreactor : Sustainable
Process Development
Valentin Plesu, Petrica Iancu*
SDEWES12-0555. The Potential of Total Site Process Integration and Optimisation for
Energy Saving and Pollution Reduction
Andreja Nemet*, Lidija Čuček, Petar Varbanov, Jiří Jaromír Klemeš, Zdravko Kravanja
SDEWES12-0175. Numerical investigation of transport phenomena in spiral-wound
heat exchangers
Julia Steube, Daniel Boe, Anna Lautenschleger, Mark Piper, Thomas Weimer, Eugeny
Kenig* - not paid - highlight for INHEAT
SDEWES12-0307. Optimal Renewable Energy Systems for Regions
Michael Narodoslawsky*, Nora Niemetz, Karl-Heinz Kettl, Michael Eder
CPI2
54
SDEWES 2012 Dates
CPI2
55

To be agreed:
CPI2

Task 6.1 / Deliverable D6.2 “Report on marketing activities” .
This is pending the outcomes from the software development
(WP 4, Task 4.3)

Deliverable 6.4 “Conference and journal publications” is in
execution now. So far 6 conference and 10 journal publications
have been delivered. More publications are expected.

Task 6.4 / Deliverable D6.5 “Training materials” will be
implemented after the software development (WP 4, Task 4.3)
56
Deliverable 6.4: Joint Publication

Collaboration of UNIPAN, OIKOS and SODRU

Accepted paper at CISAP 5 (Milan 3-6 June, 2012):
CPI2
57
Thank you!
CPI2
58

P-graph - Intensified Heat Transfer Technologies for Enhanced Heat

Transcription

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