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Optimization with genetic algorithms of a gas turbine cycle with H-2-separating membrane reactor for CO2 capture

Jordal, K; Bolland, O; Moller, BF and Torisson, Tord LU (2005) In International Journal of Green Energy 2(2). p.167-180
Abstract
A gas turbine power process with CO2 capture through precombustion decarbonization, which employs a H-2-separating membrane reactor is presented. Optimization with the process thermal efficiency as objective function is made through the use of genetic algorithms. The use of genetic algorithms enabled a division of the optimization parameters into two groups; one group where the values are at their optimum at the limit of the investigated parameter range, and one group where there actually is an optimum within the investigated range. It was found that the process has a severe efficiency penalty caused by the use of heat from hydrogen combustion for the reforming process. The process is a zero CO2 emission power process and also NOx... (More)
A gas turbine power process with CO2 capture through precombustion decarbonization, which employs a H-2-separating membrane reactor is presented. Optimization with the process thermal efficiency as objective function is made through the use of genetic algorithms. The use of genetic algorithms enabled a division of the optimization parameters into two groups; one group where the values are at their optimum at the limit of the investigated parameter range, and one group where there actually is an optimum within the investigated range. It was found that the process has a severe efficiency penalty caused by the use of heat from hydrogen combustion for the reforming process. The process is a zero CO2 emission power process and also NOx emissions should be low, due to the inherent mixing of hydrogen with steam. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
gas, IPSEpro, membrane reactor, CO2 capture, methane-steam reforming, zero-emission power, turbine, genetic algorithms
in
International Journal of Green Energy
volume
2
issue
2
pages
167 - 180
publisher
Taylor & Francis
external identifiers
  • wos:000233977300003
ISSN
1543-5083
DOI
10.1081/GE-200058975
language
English
LU publication?
yes
id
e3d03321-99c0-468f-b37d-28ddb2abf580 (old id 210925)
date added to LUP
2007-08-20 16:58:19
date last changed
2016-04-15 20:00:27
@article{e3d03321-99c0-468f-b37d-28ddb2abf580,
  abstract     = {A gas turbine power process with CO2 capture through precombustion decarbonization, which employs a H-2-separating membrane reactor is presented. Optimization with the process thermal efficiency as objective function is made through the use of genetic algorithms. The use of genetic algorithms enabled a division of the optimization parameters into two groups; one group where the values are at their optimum at the limit of the investigated parameter range, and one group where there actually is an optimum within the investigated range. It was found that the process has a severe efficiency penalty caused by the use of heat from hydrogen combustion for the reforming process. The process is a zero CO2 emission power process and also NOx emissions should be low, due to the inherent mixing of hydrogen with steam.},
  author       = {Jordal, K and Bolland, O and Moller, BF and Torisson, Tord},
  issn         = {1543-5083},
  keyword      = {gas,IPSEpro,membrane reactor,CO2 capture,methane-steam reforming,zero-emission power,turbine,genetic algorithms},
  language     = {eng},
  number       = {2},
  pages        = {167--180},
  publisher    = {Taylor & Francis},
  series       = {International Journal of Green Energy},
  title        = {Optimization with genetic algorithms of a gas turbine cycle with H-2-separating membrane reactor for CO2 capture},
  url          = {http://dx.doi.org/10.1081/GE-200058975},
  volume       = {2},
  year         = {2005},
}