Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

Detalhes bibliográficos
Autor(a) principal: Lopes, Francisco
Data de Publicação: 2019
Outros Autores: Conceição, Ricardo, Silva, Hugo, Fasquelle, Thomas, Salgado, Rui, Canhoto, Paulo, Collares-Pereira, Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/25535
https://doi.org/Francis M. Lopes, Ricardo Conceição, Thomas Fasquelle, Hugo G. Silva, Rui Salgado, Paulo Canhoto, Manuel Collares-Pereira. Short-term Forecasts of DNI from the Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System. Energies 2019, 12, 1368. https://doi.org/10.3390/en12071368
https://doi.org/10.3390/en12071368
Resumo: Short-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar power tower, through the System Advisor Model (SAM). Recent results demonstrated that DNI forecasts have been enhanced, having the potential to be a suitable tool for plant operators that allows achieving higher energy efficiency in the management of concentrating solar power (CSP) plants, particularly during periods of direct solar radiation intermittency. The main objective of this work was to assert the predictive value of the IFS forecasts, regarding operation outputs from a simulated central receiver system. Considering a 365-day period, the present results showed an hourly correlation of ≈0.78 between the electric energy injected into the grid based on forecasted and measured data, while a higher correlation was found for the daily values (≈0.89). Operational strategies based on the forecasted results were proposed for plant operators regarding the three different weather scenarios. Although there were still deviations due to the cloud and aerosol representation, the IFS forecasts showed a high potential to be used for supporting informed energy dispatch decisions in the operation of central receiver units.
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spelling Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver Systemshort-term forecastsdirect normal irradianceconcentrating solar powersystem advisor modeloperational strategiescentral solar receiverShort-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar power tower, through the System Advisor Model (SAM). Recent results demonstrated that DNI forecasts have been enhanced, having the potential to be a suitable tool for plant operators that allows achieving higher energy efficiency in the management of concentrating solar power (CSP) plants, particularly during periods of direct solar radiation intermittency. The main objective of this work was to assert the predictive value of the IFS forecasts, regarding operation outputs from a simulated central receiver system. Considering a 365-day period, the present results showed an hourly correlation of ≈0.78 between the electric energy injected into the grid based on forecasted and measured data, while a higher correlation was found for the daily values (≈0.89). Operational strategies based on the forecasted results were proposed for plant operators regarding the three different weather scenarios. Although there were still deviations due to the cloud and aerosol representation, the IFS forecasts showed a high potential to be used for supporting informed energy dispatch decisions in the operation of central receiver units.UÉ, FCTEnergies2019-05-06T16:04:56Z2019-05-062019-04-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/25535https://doi.org/Francis M. Lopes, Ricardo Conceição, Thomas Fasquelle, Hugo G. Silva, Rui Salgado, Paulo Canhoto, Manuel Collares-Pereira. Short-term Forecasts of DNI from the Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System. Energies 2019, 12, 1368. https://doi.org/10.3390/en12071368https://doi.org/10.3390/en12071368http://hdl.handle.net/10174/25535https://doi.org/10.3390/en12071368engfmlopes@uevora.ptrfc@uevora.pthgsilva@uevora.ptthomasf@uevora.ptrsal@uevora.ptcanhoto@uevora.ptcollarespereira@uevora.pt244Lopes, FranciscoConceição, RicardoSilva, HugoFasquelle, ThomasSalgado, RuiCanhoto, PauloCollares-Pereira, Manuelinfo: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:RCAAP2024-01-03T19:19:20Zoai:dspace.uevora.pt:10174/25535Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:15:55.739691Repositório 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 Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
title Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
spellingShingle Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
Lopes, Francisco
short-term forecasts
direct normal irradiance
concentrating solar power
system advisor model
operational strategies
central solar receiver
title_short Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
title_full Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
title_fullStr Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
title_full_unstemmed Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
title_sort Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
author Lopes, Francisco
author_facet Lopes, Francisco
Conceição, Ricardo
Silva, Hugo
Fasquelle, Thomas
Salgado, Rui
Canhoto, Paulo
Collares-Pereira, Manuel
author_role author
author2 Conceição, Ricardo
Silva, Hugo
Fasquelle, Thomas
Salgado, Rui
Canhoto, Paulo
Collares-Pereira, Manuel
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lopes, Francisco
Conceição, Ricardo
Silva, Hugo
Fasquelle, Thomas
Salgado, Rui
Canhoto, Paulo
Collares-Pereira, Manuel
dc.subject.por.fl_str_mv short-term forecasts
direct normal irradiance
concentrating solar power
system advisor model
operational strategies
central solar receiver
topic short-term forecasts
direct normal irradiance
concentrating solar power
system advisor model
operational strategies
central solar receiver
description Short-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar power tower, through the System Advisor Model (SAM). Recent results demonstrated that DNI forecasts have been enhanced, having the potential to be a suitable tool for plant operators that allows achieving higher energy efficiency in the management of concentrating solar power (CSP) plants, particularly during periods of direct solar radiation intermittency. The main objective of this work was to assert the predictive value of the IFS forecasts, regarding operation outputs from a simulated central receiver system. Considering a 365-day period, the present results showed an hourly correlation of ≈0.78 between the electric energy injected into the grid based on forecasted and measured data, while a higher correlation was found for the daily values (≈0.89). Operational strategies based on the forecasted results were proposed for plant operators regarding the three different weather scenarios. Although there were still deviations due to the cloud and aerosol representation, the IFS forecasts showed a high potential to be used for supporting informed energy dispatch decisions in the operation of central receiver units.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-06T16:04:56Z
2019-05-06
2019-04-15T00:00:00Z
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/10174/25535
https://doi.org/Francis M. Lopes, Ricardo Conceição, Thomas Fasquelle, Hugo G. Silva, Rui Salgado, Paulo Canhoto, Manuel Collares-Pereira. Short-term Forecasts of DNI from the Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System. Energies 2019, 12, 1368. https://doi.org/10.3390/en12071368
https://doi.org/10.3390/en12071368
http://hdl.handle.net/10174/25535
https://doi.org/10.3390/en12071368
url http://hdl.handle.net/10174/25535
https://doi.org/Francis M. Lopes, Ricardo Conceição, Thomas Fasquelle, Hugo G. Silva, Rui Salgado, Paulo Canhoto, Manuel Collares-Pereira. Short-term Forecasts of DNI from the Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System. Energies 2019, 12, 1368. https://doi.org/10.3390/en12071368
https://doi.org/10.3390/en12071368
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv fmlopes@uevora.pt
rfc@uevora.pt
hgsilva@uevora.pt
thomasf@uevora.pt
rsal@uevora.pt
canhoto@uevora.pt
collarespereira@uevora.pt
244
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Energies
publisher.none.fl_str_mv Energies
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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