Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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 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)
Please use this url to cite or link to this publication:
author
; ; and
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
host publication
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
conference location
London, United Kingdom
conference dates
2003-09-24 - 2003-09-26
external identifiers
  • wos:000221418800049
  • scopus:2342472170
ISSN
1873-2755
0378-7753
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
2016-04-01 11:34:18
date last changed
2024-02-22 21:46:17
@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         = {{1873-2755}},
  keywords     = {{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}},
  doi          = {{10.1016/j.jpowsour.2003.11.090}},
  volume       = {{131}},
  year         = {{2004}},
}