Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10174/33454 https://doi.org/https:// doi.org/10.3390/en15207693 https://doi.org/10.3390/en15207693 |
Resumo: | Evaluation of the Concentrating Solar Power capacity factor is critical to support decision making on possible regional energy investments. For such evaluations, the System Advisor Model is used to perform capacity factor assessments. Among the required data, information concerning direct normal irradiance is fundamental. In this context, the Engerer model is used to estimate direct normal irradiance hourly values out of global horizontal irradiance ground measurements and other observed meteorological variables. Model parameters were calibrated for direct normal irradiance measurements in Évora (Southern Portugal), being then applied to a network of 90 stations, part of the Portuguese Meteorological Service. From the modelled direct normal irradiance, and for stations that comprise 20 years of data, typical meteorological years were determined. Finally, to identify locations of interest for possible installations of Concentrating Solar Power systems, annual direct normal irradiance availabilities and the respective capacity factor, for a predefined power plant using the System Advisor Model, were produced. Results show annual direct normal irradiance availabilities and capacity factors of up to ~2310 kWh/m2 and ~36.2% in Castro Marim and in Faro, respectively. Moreover, this study supports energy policies that would promote Concentrating Solar Power investments in Southern Portugal (Alentejo and Algarve regions) and eastern centre Portugal (Beira Interior region), which have capacity factors above 30%. |
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Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacityglobal horizontal irradianceEngerer modeltypical meteorological yeardirect normal irradiance mappingConcentrating Solar Power plant production capacityEvaluation of the Concentrating Solar Power capacity factor is critical to support decision making on possible regional energy investments. For such evaluations, the System Advisor Model is used to perform capacity factor assessments. Among the required data, information concerning direct normal irradiance is fundamental. In this context, the Engerer model is used to estimate direct normal irradiance hourly values out of global horizontal irradiance ground measurements and other observed meteorological variables. Model parameters were calibrated for direct normal irradiance measurements in Évora (Southern Portugal), being then applied to a network of 90 stations, part of the Portuguese Meteorological Service. From the modelled direct normal irradiance, and for stations that comprise 20 years of data, typical meteorological years were determined. Finally, to identify locations of interest for possible installations of Concentrating Solar Power systems, annual direct normal irradiance availabilities and the respective capacity factor, for a predefined power plant using the System Advisor Model, were produced. Results show annual direct normal irradiance availabilities and capacity factors of up to ~2310 kWh/m2 and ~36.2% in Castro Marim and in Faro, respectively. Moreover, this study supports energy policies that would promote Concentrating Solar Power investments in Southern Portugal (Alentejo and Algarve regions) and eastern centre Portugal (Beira Interior region), which have capacity factors above 30%.MDPI2023-01-16T15:53:40Z2023-01-162022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/33454https://doi.org/https:// doi.org/10.3390/en15207693http://hdl.handle.net/10174/33454https://doi.org/10.3390/en15207693engDevelopment of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity, A.M. Tavares, R. Conceição, F.M. Lopes, H.G. Silva, Energies 15(20), 7693 (2022). DOI: 10.3390/en15207693ndndndnd348Tavares, Ailton M.Conceição, RicardoLopes, FranciscoSilva, Hugo G.info: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:RCAAP2024-01-03T19:35:17Zoai:dspace.uevora.pt:10174/33454Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:22:16.376902Repositório 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 |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
title |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
spellingShingle |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity Tavares, Ailton M. global horizontal irradiance Engerer model typical meteorological year direct normal irradiance mapping Concentrating Solar Power plant production capacity |
title_short |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
title_full |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
title_fullStr |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
title_full_unstemmed |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
title_sort |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity |
author |
Tavares, Ailton M. |
author_facet |
Tavares, Ailton M. Conceição, Ricardo Lopes, Francisco Silva, Hugo G. |
author_role |
author |
author2 |
Conceição, Ricardo Lopes, Francisco Silva, Hugo G. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Tavares, Ailton M. Conceição, Ricardo Lopes, Francisco Silva, Hugo G. |
dc.subject.por.fl_str_mv |
global horizontal irradiance Engerer model typical meteorological year direct normal irradiance mapping Concentrating Solar Power plant production capacity |
topic |
global horizontal irradiance Engerer model typical meteorological year direct normal irradiance mapping Concentrating Solar Power plant production capacity |
description |
Evaluation of the Concentrating Solar Power capacity factor is critical to support decision making on possible regional energy investments. For such evaluations, the System Advisor Model is used to perform capacity factor assessments. Among the required data, information concerning direct normal irradiance is fundamental. In this context, the Engerer model is used to estimate direct normal irradiance hourly values out of global horizontal irradiance ground measurements and other observed meteorological variables. Model parameters were calibrated for direct normal irradiance measurements in Évora (Southern Portugal), being then applied to a network of 90 stations, part of the Portuguese Meteorological Service. From the modelled direct normal irradiance, and for stations that comprise 20 years of data, typical meteorological years were determined. Finally, to identify locations of interest for possible installations of Concentrating Solar Power systems, annual direct normal irradiance availabilities and the respective capacity factor, for a predefined power plant using the System Advisor Model, were produced. Results show annual direct normal irradiance availabilities and capacity factors of up to ~2310 kWh/m2 and ~36.2% in Castro Marim and in Faro, respectively. Moreover, this study supports energy policies that would promote Concentrating Solar Power investments in Southern Portugal (Alentejo and Algarve regions) and eastern centre Portugal (Beira Interior region), which have capacity factors above 30%. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01T00:00:00Z 2023-01-16T15:53:40Z 2023-01-16 |
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/10174/33454 https://doi.org/https:// doi.org/10.3390/en15207693 http://hdl.handle.net/10174/33454 https://doi.org/10.3390/en15207693 |
url |
http://hdl.handle.net/10174/33454 https://doi.org/https:// doi.org/10.3390/en15207693 https://doi.org/10.3390/en15207693 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity, A.M. Tavares, R. Conceição, F.M. Lopes, H.G. Silva, Energies 15(20), 7693 (2022). DOI: 10.3390/en15207693 nd nd nd nd 348 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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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