Optimization of a seasonal storage solar system using Genetic Algorithms

Detalhes bibliográficos
Autor(a) principal: Durão, Bruno
Data de Publicação: 2014
Outros Autores: Joyce, A, Mendes, J. Farinha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.9/2170
Resumo: Seasonal storage solar systems are capable of storing thermal energy, from one season to another (typically a few months). In the present paper solar thermal energy generated during summer time, is stored for use in winter time (typically 120 days). The analyzed system consists of solar thermal collectors and a sensible heat storage device using water as storing media. The area of solar collector and the capacity of the storage tank are the basic sizing parameters, which have to meet the requirements of the load. The present case study considers the utilization of the seasonal storage solar system for heating greenhouses, with a 50 kW heating load. The whole system was modeled using a dynamic modeling tool and the sizing parameters were optimized through a Genetic Algorithm process. This optimization process was compared with other optimization methods by a pattern search, and the results showed the benefits of the Genetic Algorithm process.
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spelling Optimization of a seasonal storage solar system using Genetic AlgorithmsSolar energyThermal energy storageSeasonal StorageGenetic AlgorithmsSeasonal storage solar systems are capable of storing thermal energy, from one season to another (typically a few months). In the present paper solar thermal energy generated during summer time, is stored for use in winter time (typically 120 days). The analyzed system consists of solar thermal collectors and a sensible heat storage device using water as storing media. The area of solar collector and the capacity of the storage tank are the basic sizing parameters, which have to meet the requirements of the load. The present case study considers the utilization of the seasonal storage solar system for heating greenhouses, with a 50 kW heating load. The whole system was modeled using a dynamic modeling tool and the sizing parameters were optimized through a Genetic Algorithm process. This optimization process was compared with other optimization methods by a pattern search, and the results showed the benefits of the Genetic Algorithm process.ElsevierRepositório do LNEGDurão, BrunoJoyce, AMendes, J. Farinha2014-02-04T14:48:21Z2014-01-01T00:00:00Z2014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2170engDurão, B.; Joyce, A.; Mendes, J. Farinha. Optimization of a seasonal storage solar system using Genetic Algorithms. In: Solar Energy, 2014, Vol. 101, p. 160-1660038-092Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T12:27:00Zoai:repositorio.lneg.pt:10400.9/2170Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:35:03.541733Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Optimization of a seasonal storage solar system using Genetic Algorithms
title Optimization of a seasonal storage solar system using Genetic Algorithms
spellingShingle Optimization of a seasonal storage solar system using Genetic Algorithms
Durão, Bruno
Solar energy
Thermal energy storage
Seasonal Storage
Genetic Algorithms
title_short Optimization of a seasonal storage solar system using Genetic Algorithms
title_full Optimization of a seasonal storage solar system using Genetic Algorithms
title_fullStr Optimization of a seasonal storage solar system using Genetic Algorithms
title_full_unstemmed Optimization of a seasonal storage solar system using Genetic Algorithms
title_sort Optimization of a seasonal storage solar system using Genetic Algorithms
author Durão, Bruno
author_facet Durão, Bruno
Joyce, A
Mendes, J. Farinha
author_role author
author2 Joyce, A
Mendes, J. Farinha
author2_role author
author
dc.contributor.none.fl_str_mv Repositório do LNEG
dc.contributor.author.fl_str_mv Durão, Bruno
Joyce, A
Mendes, J. Farinha
dc.subject.por.fl_str_mv Solar energy
Thermal energy storage
Seasonal Storage
Genetic Algorithms
topic Solar energy
Thermal energy storage
Seasonal Storage
Genetic Algorithms
description Seasonal storage solar systems are capable of storing thermal energy, from one season to another (typically a few months). In the present paper solar thermal energy generated during summer time, is stored for use in winter time (typically 120 days). The analyzed system consists of solar thermal collectors and a sensible heat storage device using water as storing media. The area of solar collector and the capacity of the storage tank are the basic sizing parameters, which have to meet the requirements of the load. The present case study considers the utilization of the seasonal storage solar system for heating greenhouses, with a 50 kW heating load. The whole system was modeled using a dynamic modeling tool and the sizing parameters were optimized through a Genetic Algorithm process. This optimization process was compared with other optimization methods by a pattern search, and the results showed the benefits of the Genetic Algorithm process.
publishDate 2014
dc.date.none.fl_str_mv 2014-02-04T14:48:21Z
2014-01-01T00:00:00Z
2014-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.9/2170
url http://hdl.handle.net/10400.9/2170
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Durão, B.; Joyce, A.; Mendes, J. Farinha. Optimization of a seasonal storage solar system using Genetic Algorithms. In: Solar Energy, 2014, Vol. 101, p. 160-166
0038-092X
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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