Optimization of a seasonal storage solar system using Genetic Algorithms
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
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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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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1799130215250657280 |