CSP mirror soiling characterization and modeling
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10174/24565 https://doi.org/10.1016/j.solmat.2018.05.035 |
Resumo: | Soiling stands as a major problem for solar energy conversion technologies, causing unwanted transmittance, reflectance and absorbance losses. In this paper, a TraCS (Tracking Cleanliness Sensor) is used to quantify soiling effect in a flat mirror and to calculate soiling rates between periods without rain. Environmental parameters such as vertical wind speed, air temperature, relative humidity and particulate matter in the atmosphere are used as predictors to model soiling. Relations and trends between input and output are analyzed using a simple linear regression model and also through an interaction model. Further investigation is performed with a neural network approach to assess its viability for this type of problem and also for comparison with the previous models. |
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CSP mirror soiling characterization and modelingSolar energyCSPSoilingModelingSoiling stands as a major problem for solar energy conversion technologies, causing unwanted transmittance, reflectance and absorbance losses. In this paper, a TraCS (Tracking Cleanliness Sensor) is used to quantify soiling effect in a flat mirror and to calculate soiling rates between periods without rain. Environmental parameters such as vertical wind speed, air temperature, relative humidity and particulate matter in the atmosphere are used as predictors to model soiling. Relations and trends between input and output are analyzed using a simple linear regression model and also through an interaction model. Further investigation is performed with a neural network approach to assess its viability for this type of problem and also for comparison with the previous models.2019-02-12T12:25:58Z2019-02-122018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/24565http://hdl.handle.net/10174/24565https://doi.org/10.1016/j.solmat.2018.05.035enghttps://www.sciencedirect.com/science/article/pii/S0927024818302629rfc@uevora.pthgsilva@uevora.ptcollarespereira@uevora.ptConceição, RicardoSilva, HugoCollares-Pereira, Manuelinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:17:48Zoai:dspace.uevora.pt:10174/24565Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:15:15.879366Repositório 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 |
CSP mirror soiling characterization and modeling |
title |
CSP mirror soiling characterization and modeling |
spellingShingle |
CSP mirror soiling characterization and modeling Conceição, Ricardo Solar energy CSP Soiling Modeling |
title_short |
CSP mirror soiling characterization and modeling |
title_full |
CSP mirror soiling characterization and modeling |
title_fullStr |
CSP mirror soiling characterization and modeling |
title_full_unstemmed |
CSP mirror soiling characterization and modeling |
title_sort |
CSP mirror soiling characterization and modeling |
author |
Conceição, Ricardo |
author_facet |
Conceição, Ricardo Silva, Hugo Collares-Pereira, Manuel |
author_role |
author |
author2 |
Silva, Hugo Collares-Pereira, Manuel |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Conceição, Ricardo Silva, Hugo Collares-Pereira, Manuel |
dc.subject.por.fl_str_mv |
Solar energy CSP Soiling Modeling |
topic |
Solar energy CSP Soiling Modeling |
description |
Soiling stands as a major problem for solar energy conversion technologies, causing unwanted transmittance, reflectance and absorbance losses. In this paper, a TraCS (Tracking Cleanliness Sensor) is used to quantify soiling effect in a flat mirror and to calculate soiling rates between periods without rain. Environmental parameters such as vertical wind speed, air temperature, relative humidity and particulate matter in the atmosphere are used as predictors to model soiling. Relations and trends between input and output are analyzed using a simple linear regression model and also through an interaction model. Further investigation is performed with a neural network approach to assess its viability for this type of problem and also for comparison with the previous models. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01T00:00:00Z 2019-02-12T12:25:58Z 2019-02-12 |
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/10174/24565 http://hdl.handle.net/10174/24565 https://doi.org/10.1016/j.solmat.2018.05.035 |
url |
http://hdl.handle.net/10174/24565 https://doi.org/10.1016/j.solmat.2018.05.035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S0927024818302629 rfc@uevora.pt hgsilva@uevora.pt collarespereira@uevora.pt |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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 |
repository.mail.fl_str_mv |
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1799136634198818816 |