Micro-turbine design point definition using optimization techniques
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do ITA |
Texto Completo: | http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2089 |
Resumo: | During a gas turbine development phase an important engineer task is to find the appropriate engine design point that meet all required specifications. This task can be very arduous because all possible operating points in the gas turbine operational envelope need to be analyzed, for the sake of verification of whether or not the established performance might be achieved. In order to support engineers to best define the engine design point that meet required performance a methodology was developed in this work. To accomplish that a computer program was written in Matlab@. In this program was incorporated the thermoeconomic and thermodynamic optimization using genetic algorithm with single and multi-objective. The thermodynamic calculation process was done based in enthalpy and entropy function and then validated using a commercial program. In this work the study was done for a recuperated micro-turbine. Cycle efficiency, total cost and specific work were chosen as objective functions, while pressure ratio, compressor and turbine polytropic efficiencies, turbine inlet temperature and heat exchange effectiveness were chosen as decision variables. Total cost considers the fixed cost (equipment, installation, etc.) and variable cost (fuel, environmental and O&M). For emissions calculations were taken into account the NOx, CO and UHC. An economic analysis was done showing the costs behavior for diffierent optimized design points. The optimization process was made for single-objective, two-objective and three-objective. After, the results were compared each other showing the possible design points. |
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Biblioteca Digital de Teses e Dissertações do ITA |
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Micro-turbine design point definition using optimization techniquesTurbinas a gásDesempenhoOtimizaçãoProgramas de computadoresAlgoritmos genéticosEngenharia mecânicaDuring a gas turbine development phase an important engineer task is to find the appropriate engine design point that meet all required specifications. This task can be very arduous because all possible operating points in the gas turbine operational envelope need to be analyzed, for the sake of verification of whether or not the established performance might be achieved. In order to support engineers to best define the engine design point that meet required performance a methodology was developed in this work. To accomplish that a computer program was written in Matlab@. In this program was incorporated the thermoeconomic and thermodynamic optimization using genetic algorithm with single and multi-objective. The thermodynamic calculation process was done based in enthalpy and entropy function and then validated using a commercial program. In this work the study was done for a recuperated micro-turbine. Cycle efficiency, total cost and specific work were chosen as objective functions, while pressure ratio, compressor and turbine polytropic efficiencies, turbine inlet temperature and heat exchange effectiveness were chosen as decision variables. Total cost considers the fixed cost (equipment, installation, etc.) and variable cost (fuel, environmental and O&M). For emissions calculations were taken into account the NOx, CO and UHC. An economic analysis was done showing the costs behavior for diffierent optimized design points. The optimization process was made for single-objective, two-objective and three-objective. After, the results were compared each other showing the possible design points.Instituto Tecnológico de AeronáuticaCleverson BringhentiDiogo Ferraz Cavalca2012-03-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2089reponame:Biblioteca Digital de Teses e Dissertações do ITAinstname:Instituto Tecnológico de Aeronáuticainstacron:ITAenginfo:eu-repo/semantics/openAccessapplication/pdf2019-02-02T14:03:48Zoai:agregador.ibict.br.BDTD_ITA:oai:ita.br:2089http://oai.bdtd.ibict.br/requestopendoar:null2020-05-28 19:38:10.316Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáuticatrue |
dc.title.none.fl_str_mv |
Micro-turbine design point definition using optimization techniques |
title |
Micro-turbine design point definition using optimization techniques |
spellingShingle |
Micro-turbine design point definition using optimization techniques Diogo Ferraz Cavalca Turbinas a gás Desempenho Otimização Programas de computadores Algoritmos genéticos Engenharia mecânica |
title_short |
Micro-turbine design point definition using optimization techniques |
title_full |
Micro-turbine design point definition using optimization techniques |
title_fullStr |
Micro-turbine design point definition using optimization techniques |
title_full_unstemmed |
Micro-turbine design point definition using optimization techniques |
title_sort |
Micro-turbine design point definition using optimization techniques |
author |
Diogo Ferraz Cavalca |
author_facet |
Diogo Ferraz Cavalca |
author_role |
author |
dc.contributor.none.fl_str_mv |
Cleverson Bringhenti |
dc.contributor.author.fl_str_mv |
Diogo Ferraz Cavalca |
dc.subject.por.fl_str_mv |
Turbinas a gás Desempenho Otimização Programas de computadores Algoritmos genéticos Engenharia mecânica |
topic |
Turbinas a gás Desempenho Otimização Programas de computadores Algoritmos genéticos Engenharia mecânica |
dc.description.none.fl_txt_mv |
During a gas turbine development phase an important engineer task is to find the appropriate engine design point that meet all required specifications. This task can be very arduous because all possible operating points in the gas turbine operational envelope need to be analyzed, for the sake of verification of whether or not the established performance might be achieved. In order to support engineers to best define the engine design point that meet required performance a methodology was developed in this work. To accomplish that a computer program was written in Matlab@. In this program was incorporated the thermoeconomic and thermodynamic optimization using genetic algorithm with single and multi-objective. The thermodynamic calculation process was done based in enthalpy and entropy function and then validated using a commercial program. In this work the study was done for a recuperated micro-turbine. Cycle efficiency, total cost and specific work were chosen as objective functions, while pressure ratio, compressor and turbine polytropic efficiencies, turbine inlet temperature and heat exchange effectiveness were chosen as decision variables. Total cost considers the fixed cost (equipment, installation, etc.) and variable cost (fuel, environmental and O&M). For emissions calculations were taken into account the NOx, CO and UHC. An economic analysis was done showing the costs behavior for diffierent optimized design points. The optimization process was made for single-objective, two-objective and three-objective. After, the results were compared each other showing the possible design points. |
description |
During a gas turbine development phase an important engineer task is to find the appropriate engine design point that meet all required specifications. This task can be very arduous because all possible operating points in the gas turbine operational envelope need to be analyzed, for the sake of verification of whether or not the established performance might be achieved. In order to support engineers to best define the engine design point that meet required performance a methodology was developed in this work. To accomplish that a computer program was written in Matlab@. In this program was incorporated the thermoeconomic and thermodynamic optimization using genetic algorithm with single and multi-objective. The thermodynamic calculation process was done based in enthalpy and entropy function and then validated using a commercial program. In this work the study was done for a recuperated micro-turbine. Cycle efficiency, total cost and specific work were chosen as objective functions, while pressure ratio, compressor and turbine polytropic efficiencies, turbine inlet temperature and heat exchange effectiveness were chosen as decision variables. Total cost considers the fixed cost (equipment, installation, etc.) and variable cost (fuel, environmental and O&M). For emissions calculations were taken into account the NOx, CO and UHC. An economic analysis was done showing the costs behavior for diffierent optimized design points. The optimization process was made for single-objective, two-objective and three-objective. After, the results were compared each other showing the possible design points. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-03-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
status_str |
publishedVersion |
format |
masterThesis |
dc.identifier.uri.fl_str_mv |
http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2089 |
url |
http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2089 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Tecnológico de Aeronáutica |
publisher.none.fl_str_mv |
Instituto Tecnológico de Aeronáutica |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações do ITA instname:Instituto Tecnológico de Aeronáutica instacron:ITA |
reponame_str |
Biblioteca Digital de Teses e Dissertações do ITA |
collection |
Biblioteca Digital de Teses e Dissertações do ITA |
instname_str |
Instituto Tecnológico de Aeronáutica |
instacron_str |
ITA |
institution |
ITA |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáutica |
repository.mail.fl_str_mv |
|
subject_por_txtF_mv |
Turbinas a gás Desempenho Otimização Programas de computadores Algoritmos genéticos Engenharia mecânica |
_version_ |
1706809279221071872 |