ji ří j kleme Š, petar s varbanov ec marie currie chair (exc) “inemaglow”
DESCRIPTION
“Intensified Heat Transfer Technologies for Enchanced Heat Recovery” INTHEAT (Grant Agreement 262205). Ji ří J KLEME Š, Petar S VARBANOV EC Marie Currie Chair (EXC) “INEMAGLOW” Research Institute of Chemical Technology and Process Engineering – CPI 2 , Faculty of Information Technology - PowerPoint PPT PresentationTRANSCRIPT
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“Intensified Heat Transfer Technologies for Enchanced Heat Recovery”
INTHEAT (Grant Agreement 262205)
Jiří J KLEMEŠ, Petar S VARBANOV
EC Marie Currie Chair (EXC) “INEMAGLOW”
Research Institute of Chemical Technology
and Process Engineering – CPI2,
Faculty of Information Technology
University of Pannonia, Veszprém, Hungary
CPI2
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Outline
• CPI2 at the University of Pannonia
• Research Background
• P-graph for Process Synthesis
• Books and Other Publications
• Involvement of CPI2-UOP in INTHEAT
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CPI2 at the University of Pannonia
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University of Pannonia
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Location: Veszprem – The Town of Queens
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Professor Ferenc Friedler, DeanFaculty of Information Technology
• Development of P-graph and S-graph frameworks (Co-founder) – Process Network Synthesis– Batch Process Scheduling– Energy Saving and Pollution Reduction– Reaction Pathway Identification
• Knight's Cross Order of Merit of the Republic of Hungary, Budapest, Hungary, 2003
• László Kalmár Prize (John von Neumann Computer Science Society), Budapest, Hungary, 2003
• Neumann Prize (John von Neumann Computer Science Society), Budapest, Hungary, 2007
• Széchenyi Prize, Budapest, Hungary, 2010
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CPI2
Centre for Process Integration and Intensification
Prof Jiří J Klemeš
Chair Holder
Assoc. Prof.
Dr Petar Varbanov
PhD Students
Dr László Sikos
CUM LAUDE Graduate
Hon LoongLam
Luca De Benedetto
Zsófia Fodor
Prof Zdravko Kravanja,
University of Maribor
Lidija ČučekAndreja Nemet
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Research background
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UMIST: History
1824 Created by industrialists as the Manchester Mechanics Institution
1905 Faculty of Technology, University of Manchester
1956 Royal Charter granted to Manchester College of Science and Technology
1965 University of Manchester Institute of Science and Technology
2004 Merged with University of Manchester
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Centre for Process Integration
World Leaders in Process Design Technology
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Research directions
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Most Resent Research
Cell-based dynamic heat exchanger models – direct determination of the
cell number and size
Petar Sabev Varbanov, Jiří Jaromir Klemeš, Ferenc Friedler
CPI2
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Heat exchange cell
mH
hHI
mH
hHO
mC
hCI
mC
hCO
Cell model: detailed picture
Cell model: icon representation
QCELL
Definition
Two perfectly stirred tanks, exchanging
heat only with each other through a
dividing wall
H=”Hot”, C=”Cold”;
HI=”Hot Inlet”, HO=”Hot Outlet”
CI=”Cold Inlet”, CO=”Cold Outlet”
Assumptions
Perfect mixing in the fluid cells
Constant fluid densities
The tanks are completely full
Constant specific heat capacities
The thermal resistance of the wall is neglected
The wall heat capacity is taken into account
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Cell model of a heat exchanger
• A complete heat exchanger can be modelled by a number of cells• The cells are combined to reflect the internal flow arrangement in
the exchanger
mHOT,
hIN,HOT
mCOLD,
hIN,COLD
mHOT,
hOUT,HOT
mCOLD,
hOUT,COLD
Single-pass (1-1) heat exchanger
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Cell model of a heat exchanger
Hot inlet
Hot outlet
Cold inlet
Cold outlet
1-2 shell-and-tube heat exchanger (no baffles)
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Cell model of a heat exchanger
1-2 shell-and-tube heat exchanger (with baffles)
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Minimum number of cells
Heat exchange
Tem
per
atu
re
Derivation
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Summary on the cell model
• Distributed models become inefficient for complex heat exchangers
• From the lumped– mostly cell models are employed• The cell parameters need to be carefully estimated
accounting for the underestimation of the temperature differences
• A method for direct identification of the number of cells has been developed
• Mostly applicable to shell-and-tube heat exchangers • A useful visualisation of the cell number identification
procedure is provided• The method can be further extended to the other kinds of
heat exchangers
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P-graph for Process Synthesis
Friedler, F., J.B. Varga, and L.T Fan. (1995), Decision-Mapping A Tool for Consistent and Complete Decisions in Process Synthesis, Chem. Eng. Sci., 50(11):1755-1768
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P-graph: a Rigorous Mathematical Tool
• Axioms for feasible networks
• Algorithm MSG
• Algorithm SSG
Suite of tools Search space
103–106 x
• Exploit the problem structure
• Much faster
• Superior to direct Mathematical Programming
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P-graph algorithms:Maximal Structure Generation (MSG)
Problem Formulation
• set of raw materials
• set of products
• set of candidate operating unitsReduction part
Composition part
Problem Formulation
Consistent sets O & M
Maximal Structure
Superstructure (Maximal)
• Union of all combinatorially feasible structures
• Rigorous super-structure
Legend:
O: set of operating units; M: set of materials
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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 from the search
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PNS Paradigms: A Comparison
Conventional MP(MILP, MINLP)
P-graph(MSG, SSG, ABB)
Network Model Formulation
Mostly MANUAL ALGORITHMIC
Automation allowing user interaction
Complexity
(Solution Speed)
6 orders of magnitude
(106) faster
Example: separation sequence synthesis
34 Billion
possible combinations
3,465 combinatorially feasible structures
Interpretation of results
Flowsheets
(only)
Flowsheets
Easier to spot structural patterns
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Applying P-graph:Combined Heat and Power using FCCC
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Configuration and Setup
Demands: 10 MW power and 15 MW heat
Power: 100 €/MWhHeat: 30 €/MWhNatural gas: 30 €/MWhFertiliser from biogas digestion: 50 €/tPlant life: 10 y
Case studies Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Biomass Price, €/MWh 1 10 10 10 18 20 Fertiliser yield, kg/kWh 0.077 0.077 0.005 0.077 0.077 0.077 Profit, MM€/y 10.05 6.48 6.23 5.51 3.66 3.45
Limit the availability of the biomass to 30 MW
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Fuel Preparation Options
Biomass
Gasifier
Syngas
FilterBiogas
digester
Streams / MaterialsAR: Agricultural residues PR: ParticulatesBR: Biomass residues SG: SyngasRSG: Raw syngas BG: BiogasCO2: Carbon dioxide FRT: Fertiliser
RSG, kW/kW 0.65
BR, (kg/h)/kW 0.0811
CO2, (kg/h)/kW 0.025
SG, kW/kW 0.99
PR, (kg/h)/AR 0.0005
BG, kW/kW 0.58
FRT, (kg/h)/AR 0.0768
CO2, (kg/h)/kW 0.025
Performance per unit input
AR
BMG
RSG
BR CO2
RSG
SGF
SG
PR
BGD
BG
FRT
AR
CO2
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Energy Conversion Options
{F}
{FCCC}
W
CO2
{Q}
{F}: Fuels {FCCC} {Q}: steam Steam details {Q}: steam Steam details
NG: Natural gas MCFC-GT Q1 P = 1 bar Q20 P = 20 barBG: Biogas MCFC-ST Q2 P = 2 bar Q40 P = 40 barSG: Syngas SOFC-GT Q5 P = 5 bar
SOFC-ST Q10 P = 10 bar
BLR_BG
BG
Q40
Fuel Cell
Combined Cycle
Biogas
Boiler
Natural Gas
Boiler
CO2
NG
BLR_NG
Q40
W, kW/kW 0.58 – 0.695
Q, (kg/h)/kW 0 – 0.25
CO2, (kg/h)/kW) NG: 0.2063
SG/BG: 0
Q40, kW/kW 0.85 Q40, kW/kW 0.88
CO2, (kg/h)/kW 0.2063
Performance per unit input
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Results
Cases 1, 2, 3;Biomass < 18 €/MWhProfit: 10.05 / 6.48 / 6.23 MM€/y
Case 4; Biomass at 10 €/MWhProfit: 5.51 MM€/y
AR
BMG
RSGBR
25.9 MW
16.8 MW
2.1 t/h
SGF
SG
16.7 MW
PR
0.008 t/h
BG
Q40
FCCC_57(MCFC+ST)
W 10.0 MW
BGD
23.7 MW
13.7MW FRT
1.8 t/h
Q5
3.3MW
LD_40_5
11.7 MW
11.7 MW
BLR_BG
15.0 MW
CO2
0.6t/h
0.6 t/h
AR
BMG
RSG
BR
24.3 MW
15.8MW
1,97 t/h
SGF
SG
15.6 MWPR
8·10-3 t/h
BG
Q40FCCC_69(SOFC+ST)
W 10.0 MW
BGD
5.7 MW
3.3 MW
CO2FRT
0.4 t/h
Q5
3.4 MW
LD_40_5
2.0t/h
BLR_BG
15.0 MW
NG
BLR_NG
9.9 MW
8.8 MW
11.6 MW
2.8 MW
11.6 MW
0.6 t/h
0.1 t/h
BiomassMAX 30 MW
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Results Summary
• Biomass is profitable
over a wide price range
• Topologies relatively
robust until tipping point
• Fertiliser – marginal
significance
The trade-off between the Agricultural Residues – Natural Gas prices dominates the designs
Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Biomass Price, €/MWh 1 10 10 10 18 20 Fertiliser yield, kg/kWh 0.077 0.077 0.005 0.077 0.077 0.077 Profit, MM€/y 10.05 6.48 6.23 5.51 3.66 3.45
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P-graph for FCCC Summary
• Biomass viable for FC
• High efficiency lower resource demand
• Energy supply and conversion: complex systems
• Synthesising : combinatorially difficult
• P-Graph: appropriate tool effectively solving the task
• Successfully applied to choosing FCCC - based
system design
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Books and other publications
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Recent Publication
IF2008 = 1.712
IF2009 = 2.952
Citations: 10
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Recent Publication
IF2009 = 1.987
Citations: 4
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Citations
80
120
216
0
50
100
150
200
250
Citations
2008 2009 2010
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Handbook of Water and Energy Management in Food Processing
Edited by J Klemeš, University of Pannonia
R Smith and J-K Kim, University of Manchester, UK
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Coming Book
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EMINENT 2 Workshop
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Involvement of CPI2-UOP in INTHEAT
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Contribution to Work Packages
• WP 1 (Months 1-12): Analysis of intensified heat transfer under fouling, 6 person-months, Task 1.1
• WP 2 (Months 1-18): Combined tube-side and shell-side heat exchanger enhancement, 1 person-month, Task 2.2
• WP 4 (Months 1-24): Design, retrofit and control of intensified heat recovery networks, 9.5 person-months, Tasks 4.1 and 4.3. This will be a development of the P-graph methodology using the ABB algorithm
• WP 5 (Months 12-24): Putting into practice, 5 person-months, Tasks 5.2 and 5.3
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Leader of WP 6 “Technology transfer”
Aim: Effective technology transfer to the wide range academic and industrial communities• Validation of the developed novel methodology with the
SME partners. • Dissemination of the project results, aiming to achieve
the best possible project recognition over a broad audience
• Develop suitable training and support materials for SME partners
• Establish an active community involving the INTHEAT partners and other users/experts for continuous knowledge management and improvement
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WP 6 “Technology Transfer”
• Runs during months 6 – 24• Tasks:
– 6.1. Technology transfer to SME consortium members
– 6.2. Dissemination events– 6.3. Publications– 6.4. Training
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Task 6.1. Technology transfer to SME consortium members
• Streamlined transfer of the developed and acquired technologies, licenses and know-how among the consortium all members
• A special emphasis will be put on the technology transfer to the industrial partners
Principles• All outputs/deliverables from WPs 1 to 5 will be
checked for documentation in such a way, as to enable technology users to obtain reproducible results
• Additional application procedures may be needed
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Task 6.2. Dissemination events
Intensified heat exchangers – Novel developments
Information day for major stakeholders
Organisers: UNIPAN, PIL, UNIMAN
Has to be delivered by Month 8
Suggested: PRES’11, 8-11 May 2011, Florence, Italy
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8-11 May 2011, Florence, Italy
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14th Conference Process Integration, Modelling
and Optimisation for Energy Saving and
Pollution Reduction
8-11 May 2011, Florence, Italy
Raffaella DAMERIO
The Italian Association of Chemical Engineering
Via Giuseppe Colombo 81A
20133 Milano (Italy)
Phone:+39-02-70608276
Fax:+39-02-59610042
Email: [email protected]
Hon Loong LAM
(Scientific Programme Secretary)
Phone: +36-88-421664
Fax: +44 871 244 774
Email: [email protected]
Website: www.conferencepres.com
Organiser & Secretariat
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Chemical Engineering Transactions (CET)
<www.aidic.it/cet>
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Task 6.2. Dissemination events
Enhanced heat transfer
Workshop/session at a recognised international conference
Organisers: UNIPAN, CALGAVIN, EMBAFFLE, SODRU
Has to be delivered by Month 12
Suggested: 6-th Dubrovnik Conference on Sustainable Development of Energy, Water and Environment
Systems, September 25 - 29, 2011, Dubrovnik, Croatia
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Task 6.2. Dissemination events
Software Demonstration Workshop
Workshop/session at a recognised international conference
Organisers: UNIPAN, PIL, UNIMAN
Has to be delivered by Month 18
Suggested: A dedicated workshop to be held in the summer of 2012, at PRES 2012
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Task 6.2. Dissemination events
Joint Hub for Intensified Heat Exchangers
Workshop held by all academic partners with the support of the industrial partners
Has to be delivered by Month 22
Suggested: A dedicated workshop to be held in Veszprém in September-October 2012
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Task 6.3. Publications
• Three major conferences will be held during the project execution: PRES’11 (May 2011), SDEWES 2011 (September 2011), PRES 2012. It is expected that at least 9 conference publications will be delivered
• Scientific articles in refereed journals: minimum 4 papers are planned
• Wider dissemination to the public, authorities, environmentalists and decision-making bodies
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Task 6.4. Training
• The major training will be carried out in form of workshop at UNIPAN, scheduled for delivery by Month 23 (October 2012).
• Suggested venue: To be organised as a follow-up event after the workshop “Joint Hub for Intensified Heat Exchangers” from Task 6.2, Veszprém in September-October 2012
• The relevant training materials have to be available before the workshops. Suggested delivery – by June-July 2012, to allow for testing and fine-tuning
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Deliverables for WP 6
Deliverable Tasks Nature Dissemination Level
Due by
D6.2 Report on the performed marketing activities and commercialisation outcomes
6.16.3 R PU Month 24
D6.3 Four dissemination events 6.2 O PU Month 8, 12, 18,
22
D6.4 At least 4 conference publications and 2 journal publications
6.3 O PU Month 24
D6.5 Training materials for the methods and tools developed
6.4 O PU Month 24
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Thank you for your attention!
Veszprém, Castle