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Optimisation of an SOFC/GT system with CO2-capture

Fredriksson Möller, Björn LU ; Arriagada, Jaime LU ; Assadi, Mohsen LU and Potts, I (2004) Eighth Grove Fuel Cell Symposium In Selected papers presented at the Eighth Grove Fuel Cell Symposium (Journal of Power Sources) 131(1-2). p.320-326
Abstract
Hybrid systems combining solid oxide fuel cells and gas turbines (SOFC/GT) have been extensively studied in recent years. They show very high theoretical electrical efficiencies and are considered as prime contenders for distributed generation. The addition of a CO2-capture system could make them even more attractive from an environmental perspective. In this study, a SOFC/GT configuration with and without a tail-end CO2 separation plant has been examined. In this work, the key parameters of the hybrid system are selected by an innovative tool based on a genetic algorithm (GA), which replaces the cumbersome parameter studies that generally are performed for this purpose. The focus is put on the evaluation of the GA as a tool for handling... (More)
Hybrid systems combining solid oxide fuel cells and gas turbines (SOFC/GT) have been extensively studied in recent years. They show very high theoretical electrical efficiencies and are considered as prime contenders for distributed generation. The addition of a CO2-capture system could make them even more attractive from an environmental perspective. In this study, a SOFC/GT configuration with and without a tail-end CO2 separation plant has been examined. In this work, the key parameters of the hybrid system are selected by an innovative tool based on a genetic algorithm (GA), which replaces the cumbersome parameter studies that generally are performed for this purpose. The focus is put on the evaluation of the GA as a tool for handling the multi-variable non-linear optimisation problem. The result of the optimisation procedure is a SOFC/GT system that exhibits an electrical efficiency above 60% with part capture of the CO2. (C) 2004 Elsevier B.V. All rights reserved. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
SOFC, gas turbine, hybrid system, optimisation, CO2-capture, genetic algorithm
in
Selected papers presented at the Eighth Grove Fuel Cell Symposium (Journal of Power Sources)
volume
131
issue
1-2
pages
320 - 326
publisher
Elsevier
conference name
Eighth Grove Fuel Cell Symposium
external identifiers
  • wos:000221418800049
  • scopus:2342472170
ISSN
0378-7753
1873-2755
DOI
10.1016/j.jpowsour.2003.11.090
language
English
LU publication?
yes
id
32853619-ed74-4408-acf6-35303c556a30 (old id 277868)
date added to LUP
2007-10-28 15:32:01
date last changed
2017-12-10 03:38:33
@inproceedings{32853619-ed74-4408-acf6-35303c556a30,
  abstract     = {Hybrid systems combining solid oxide fuel cells and gas turbines (SOFC/GT) have been extensively studied in recent years. They show very high theoretical electrical efficiencies and are considered as prime contenders for distributed generation. The addition of a CO2-capture system could make them even more attractive from an environmental perspective. In this study, a SOFC/GT configuration with and without a tail-end CO2 separation plant has been examined. In this work, the key parameters of the hybrid system are selected by an innovative tool based on a genetic algorithm (GA), which replaces the cumbersome parameter studies that generally are performed for this purpose. The focus is put on the evaluation of the GA as a tool for handling the multi-variable non-linear optimisation problem. The result of the optimisation procedure is a SOFC/GT system that exhibits an electrical efficiency above 60% with part capture of the CO2. (C) 2004 Elsevier B.V. All rights reserved.},
  author       = {Fredriksson Möller, Björn and Arriagada, Jaime and Assadi, Mohsen and Potts, I},
  booktitle    = {Selected papers presented at the Eighth Grove Fuel Cell Symposium (Journal of Power Sources)},
  issn         = {0378-7753},
  keyword      = {SOFC,gas turbine,hybrid system,optimisation,CO2-capture,genetic algorithm},
  language     = {eng},
  number       = {1-2},
  pages        = {320--326},
  publisher    = {Elsevier},
  title        = {Optimisation of an SOFC/GT system with CO2-capture},
  url          = {http://dx.doi.org/10.1016/j.jpowsour.2003.11.090},
  volume       = {131},
  year         = {2004},
}