solid oxide fuel cell research at the university of...
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Solid Oxide Fuel Cell ResearchSolid Oxide Fuel Cell Researchat the University of Waterlooat the University of Waterloo
Rapeepong Suwanwarangkul
Wei Zhang
Department of Chemical Engineering
Supervised By
P.L. Douglas, E. Croiset,
M.W. Fowler & E. Entchev
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Introduction
§ UW and CANMET have been involved in research on clean energy
from fossil fuels for many years/decades
§ Focus in recent years has been on CO2 mitigation technologies
from fossil-fuel based power plants
Ø Higher efficiency power plant
Ø CO2 capture and storage (energy intensive, costly)
§ SOFC appears very promising in terms of efficiency and reduced
cost of capturing CO2
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SOFC Research at Waterloo
n SOFC Research at Waterloo started in 2001Ø 2 published research papers and 1 about to be
submitted
n Main activity: computer simulation
Ø Process simulation (Aspen Plus)
Ø Fundamental single cell modeling (Matlab, Femlab)
n Current focus:
Ø SOFC power generation from coal/natural gas
Ø Effect of mixtures of CO/H2 on cell performance
Ø CO2 capture from SOFC systems
n Collaboration with CANMET Energy Technology Centre
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SOFC Research at Waterloo - Personnel
n Supervisors:
– Eric Croiset, assistant professor
– Peter Douglas, professor
– Michael Fowler, lecturer
– Evgueniy Entchev, research scientist, CANMET
n Graduate students:
– Rapeepong Suwanwarangkul, Ph.D. candidate
– Wei Zhang, M.A.Sc. candidate
– Leslie Backham, M.A.Sc. candidate
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Overall Research Objective
Investigate/develop SOFC-based power generation
processes that can simultaneously:
Øachieve high electricity generation efficiencies
Øgenerate pure CO2 with minimum energy/cost penalty
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Key Issues to be Investigated
n Key operating variables:– fuel composition (Especially H2 and CO mixtures)
– utilization factor
– temperature
– pressure
– operating cell voltage or current density
n Cycle options for CO2 capture and concentration– oxygen enrichment, chemical absorption
n Efficiency and cost
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Overall Research Methodology
n Synthesis: – examine potential SOFC-based power generation/CO2
capture cycles at conceptual level
n SOFC cycle models in Aspen Plus:– develop SOFC (empirical) and process cycles models
into Aspen Plus, allowing for integration, optimization and, eventually, costing
n Mechanistic Model
– develop a fundamental model to simulate fuel cell performance over a wide range of operating conditions, fuel compositions, and cell designs
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Overall Research Methodologies (Cont’d)
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SOFC System Concept
Clean Hydrogen Rich Gas
DC PowerSolid Oxide Fuel Cell Stack
Heat
Bottoming CycleCo-generation
Energy
Power Conditioner
AC PowerFuel ProcessorFuel Gas
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CO2 Capture Using SOFC
SOFCAir
Fuel
Electricity
Depleted Air
OTMAfterburner
Air
H2, CO2, H2O, CO
CO2, H2O
Depleted Air
Shell Technology Norway
SOFC(Uf: 0.85)
Air
Fuel
Electricity
Depleted Air
SOFC(Uf: 0.98)
Air
H2, CO2, H2O, CO
CO2, H2O
Depleted Air
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SOFC Modeling in Aspen Plus: Challenge
Air
Fuel
Exhaust
n How to develop a SOFC Model, which can
– Predict the fuel cell performance accurately
– Be implemented in Aspen Plus
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SOFC Modeling in Aspen Plus: Approach
Common Approach
§ Develop a complete SOFC stack model in a programming language such as Fortran or C++
§ Link it to a commercial simulator (Aspen Plus, Hysis, ProII) as a user-defined model or subroutines.
Our Approach
§ Incorporate a series of fuel cell performance curves (expressed by semi-empirical equations) into Aspen Plus
§ Develop the rest of SOFC using existing Aspen Plus unit operation models
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Aspen Plus SOFC Model
10
11
12 13
7
8Q4
5
6
1 2
3Q1
4
9
14
15
Q2
Q3
Q
CATHODE
AFTERBUR
SPLIT
EJECTOR
COOLER1
RECUPER
HEATER2
REFORMER
ANODE
HEATER1
Air
Fuel
Exhaust
Based on the Siemens-Westinghouse natural gas feed tubular internal reforming SOFC technology
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Mechanistic Model - Objectives
§ Develop an accurate cell-level model to predict steady-state cell performance and flue gas compositions
§ Investigate the influence of cell design, microstructure and operating variables on steady-state cell performance and its flue gas compositions
§ Develop the cell performance map based on operation of H2 and CO mixtures
§ Generate parameters for correlations used in the AspenPlus model
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§ Operating parameters- Inlet air and fuel temperature- Fuel and air utilization (Uf & Ua)- Inlet gas composition- Steam-to-carbon ratio
§ Material parameters– Pore size – Porosity – Tortuosity factor – Composition of electronic/ionic conductors
§ Design parameters– Cell geometry (length, width, etc.)– Electrode thickness – Electrolyte thickness
SOFC Mechanistic model
Parameters To Be Investigated
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Mechanistic Model - Methodology
§ Develop one- and two-dimensional mechanistic model of a single-cell SOFC considering H2 and CO oxidations.
§ Experimental setup and investigation
§ Validation of the developed model
§ Investigate the influence of cell design, microstructure and operating variables on steady-state cell performance and its flue gas compositions.
§ Develop the cell performance map for mixtures ofH2 and CO
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Experimental Setup and investigation
§ Generate experimentally polarization curves for different situations
)P(HP(CO)P(CO)
2+
0:1124.575.500F51:30.7518.857.84.718.8F4
1:10.5012.638.89.738.8F3
4:10.204.914.916.064.2F21:00002080F1
CO2(%)
CO(%)
H2O(%)
H2(%)
H2:COCompositionFuel no.
Example of proposed experimental plan
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Preliminary Model Results- Model Validation
Relative consumption of H2 to CO (mol H2/mol CO) for the same concentration of H2 and CO
2.3-3.1
1.9-2.3
Yasuda et al. experiment (1999)
2.0-2.61000 oC
1.1-2.6800 oC
UW modelTemp.
Model agrees with published experimental data
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Preliminary Model Results- Effect of gas compositions
0
1
2
3
4
5
6
7
8
0 0.5 1 1.5 2
Current density (A/cm2)
iH2
/iC
O
H2:CO = 4:1
H2:CO = 1:1
H2:CO = 1:3
0
1
2
3
4
5
6
7
8
0 0.5 1 1.5 2
Current density (A/cm2)
iH2
/iC
O
H2:CO = 4:1
H2:CO = 1:1H2:CO = 1:3
T = 800 oC T = 1000 oC
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§ SOFC performance decreases as CO concentration increases
§ H2:CO should be greater than 1:3
Preliminary Model Results-Effect of Gas Compositions
0.3
0.5
0.7
0.9
Cel
l vol
tege
(V
)
0
0.4
0.8
1.2
0 1 2 3
Current density (A/cm2)
Pow
er d
ensi
ty (
W/c
m2 )
H2:CO = 1:0H2:CO = 4:1H2:CO = 1:1H2:CO = 1:3H2:CO = 0:1
0
0.2
0.4
0.6
0.8
1
Cel
l vol
tage
(V
)
0
0.1
0.2
0.3
0.4
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
Current density (A/cm2)
Pow
er d
ensi
ty (W
/cm
2 )
H2:CO = 1:0H2:CO = 4:1H2:CO = 1:1H2:CO = 1:3H2:CO = 0:1
800 oC1000 oC
Increase CO
Increase CO
Increase CO
Increase CO
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Achievements
§ Two technical papers (One accepted, One to be submitted)
§ R. Suwanwarangkul, E. Croiset, M.W. Fowler, P.L. Douglas, E. Entchevand M. Douglas,“Performance Comparison of Fick’s, the Dusty-gas and the Stefan-Maxwell Models to Predict the Concentration Overpotential in a SOFC Anode”, J Power Sources, In press.
§ W. Zhang, E. Croiset , P.L. Douglas, M.W. Fowler, E. Entchev and M. Douglas, “Simulation of a Tubular Solid Oxide Fuel Cell Using AspenPlusUnit Operation Models”, to be submitted by end of April.
§ One conference paper
§ R. Suwanwarangkul, E. Croiset, M.W. Fowler, P.L. Douglas, E. Entchevand M. Douglas, “Modeling of Anode-supported SOFCs Operating with H2and CO Feed Mixtures”, Proc. Of 8th International Symposium on Solid Oxide Fuel Cells (SOFC-VIII), S.C. Singhal, M. Dokiya (Eds.), 1348-1357 (2003).
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Cell Performance Map
Natural Gas Operation
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Design of Experiment
v
v
High
Ta
v
v
Low LowHighLowHighLowHighLowHigh
v
v
v
S/C ratio
v
v
v
v
v
Tf
vvF3
vvF4
v
v
v
Uf
vvvvF5
vF2
vvvvF1
UaGas comp.
§ Each experiment must be performed 3 times.
§ Interest experimental data:
– Cell power
– Exit gas compositions
– Fuel and air flowrate
– Exit fuel and air temperature