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GTPOM: Thermo-economic optimization of whole gas turbine plant

Knight, R; Obana, M; von Wowern, C; Mitakakis, A; Perz, E; Assadi, Mohsen LU ; Moller, B; Sen, P; Potts, I and Traverso, A, et al. (2006) In Journal of Engineering for Gas Turbines and Power 128(3). p.535-542
Abstract
Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commissions 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy... (More)
Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commissions 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy systems, enabling the complex trade-offs between system performance and installed costs to be determined for different operational duties and market scenarios. Furthermore, the code is capable of determining the potential benefits of innovative cycles or layout modifications to existing plants compared with current plant configurations. The economic assessment is performed through a complete through-life cycle cost analysis, which includes the total capital cost of the plant, the cost of fuel, O&M costs and the expected revenues from the sale of power and heat. The optimization process, carried out with a GA-based algorithm, is able to pursue different objective functions as specified by the User. These include system efficiency, through-life cost of electricity and through-life internal rate of return. Three case studies demonstrating the capabilities of the new tool are presented in this paper covering a conventional combined cycle system, a biomass plant and a CO2 sequestration gas turbine cycle. The software code is now commercially available and is expected to provide significant advantages in the near and long-term development of energy cycles. (Less)
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published
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Journal of Engineering for Gas Turbines and Power
volume
128
issue
3
pages
535 - 542
publisher
American Society of Mechanical Engineers
external identifiers
  • wos:000238674500008
  • scopus:33746140960
ISSN
1528-8919
DOI
10.1115/1.1850511
language
English
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yes
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35826b14-8ba5-4597-9e05-26e6a12fca8d (old id 404487)
date added to LUP
2007-10-07 16:18:33
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@article{35826b14-8ba5-4597-9e05-26e6a12fca8d,
  abstract     = {Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commissions 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy systems, enabling the complex trade-offs between system performance and installed costs to be determined for different operational duties and market scenarios. Furthermore, the code is capable of determining the potential benefits of innovative cycles or layout modifications to existing plants compared with current plant configurations. The economic assessment is performed through a complete through-life cycle cost analysis, which includes the total capital cost of the plant, the cost of fuel, O&M costs and the expected revenues from the sale of power and heat. The optimization process, carried out with a GA-based algorithm, is able to pursue different objective functions as specified by the User. These include system efficiency, through-life cost of electricity and through-life internal rate of return. Three case studies demonstrating the capabilities of the new tool are presented in this paper covering a conventional combined cycle system, a biomass plant and a CO2 sequestration gas turbine cycle. The software code is now commercially available and is expected to provide significant advantages in the near and long-term development of energy cycles.},
  author       = {Knight, R and Obana, M and von Wowern, C and Mitakakis, A and Perz, E and Assadi, Mohsen and Moller, B and Sen, P and Potts, I and Traverso, A and Torbidoni, L},
  issn         = {1528-8919},
  language     = {eng},
  number       = {3},
  pages        = {535--542},
  publisher    = {American Society of Mechanical Engineers},
  series       = {Journal of Engineering for Gas Turbines and Power},
  title        = {GTPOM: Thermo-economic optimization of whole gas turbine plant},
  url          = {http://dx.doi.org/10.1115/1.1850511},
  volume       = {128},
  year         = {2006},
}