Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs

Detalhes bibliográficos
Autor(a) principal: Pereira, Sara
Data de Publicação: 2018
Outros Autores: Canhoto, Paulo, Salgado, Rui, Costa, Maria João
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/24098
https://doi.org/10.13140/RG.2.2.22184.01288
Resumo: This paper presents a study on the influence of Sun-Earth geometry and atmospheric variables on the predictions of solar global irradiation (GHI) obtained from the ECMWF model. It was found that the differences between predictions and measurements of GHI are correlated mainly with the clearness index, solar zenith angle, mean air temperature, relative humidity and total water column. An artificial neural network is developed to improve predictions of GHI for four locations being the base for a predicting algorithm that can be used in energy management models of solar systems thus allowing a better management of renewable energy conversion.
id RCAP_231cc9afcd034ef858b9baf7f8f81175
oai_identifier_str oai:dspace.uevora.pt:10174/24098
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNsSolar radiationSolar energySolar radiation forecastECMWF modelArtificial neural networkThis paper presents a study on the influence of Sun-Earth geometry and atmospheric variables on the predictions of solar global irradiation (GHI) obtained from the ECMWF model. It was found that the differences between predictions and measurements of GHI are correlated mainly with the clearness index, solar zenith angle, mean air temperature, relative humidity and total water column. An artificial neural network is developed to improve predictions of GHI for four locations being the base for a predicting algorithm that can be used in energy management models of solar systems thus allowing a better management of renewable energy conversion.This work was carried out under the contract with the company Warmhole, lda for the development of a solar radiation forecast algorithm. The authors wish to acknowledge ECMWF and IPMA for the provision of data and the funding provided by the European Regional Development Fund, included in the COMPETE 2020 (Operational Program Competitiveness and Internationalization) through the ICT project (UID/GEO/ 04683/2013) with the reference POCI-01-0145-FEDER -007690, DNI-A (ALT20-03-0145-FEDER-000011) and ALOP (ALT20-03-0145-FEDER-000004) projects.Grand Renewable Energy 2018 - International Conference and Exhibition2019-01-18T17:38:46Z2019-01-182018-06-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/24098http://hdl.handle.net/10174/24098https://doi.org/10.13140/RG.2.2.22184.01288engSara Pereira, Paulo Canhoto, Rui Salgado, Maria João Costa, Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs. Grand Renewable Energy 2018 - International Conference and Exhibition, 17 - 22 June, 2018, Pacifico Yokohama, Japansimnaonaospereira@uevora.ptcanhoto@uevora.ptrsal@uevora.ptmjcosta@uevora.pt286Pereira, SaraCanhoto, PauloSalgado, RuiCosta, Maria Joãoinfo: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:RCAAP2024-01-03T19:16:55Zoai:dspace.uevora.pt:10174/24098Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:14:51.505487Repositório 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 Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
title Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
spellingShingle Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
Pereira, Sara
Solar radiation
Solar energy
Solar radiation forecast
ECMWF model
Artificial neural network
title_short Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
title_full Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
title_fullStr Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
title_full_unstemmed Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
title_sort Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs
author Pereira, Sara
author_facet Pereira, Sara
Canhoto, Paulo
Salgado, Rui
Costa, Maria João
author_role author
author2 Canhoto, Paulo
Salgado, Rui
Costa, Maria João
author2_role author
author
author
dc.contributor.author.fl_str_mv Pereira, Sara
Canhoto, Paulo
Salgado, Rui
Costa, Maria João
dc.subject.por.fl_str_mv Solar radiation
Solar energy
Solar radiation forecast
ECMWF model
Artificial neural network
topic Solar radiation
Solar energy
Solar radiation forecast
ECMWF model
Artificial neural network
description This paper presents a study on the influence of Sun-Earth geometry and atmospheric variables on the predictions of solar global irradiation (GHI) obtained from the ECMWF model. It was found that the differences between predictions and measurements of GHI are correlated mainly with the clearness index, solar zenith angle, mean air temperature, relative humidity and total water column. An artificial neural network is developed to improve predictions of GHI for four locations being the base for a predicting algorithm that can be used in energy management models of solar systems thus allowing a better management of renewable energy conversion.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-17T00:00:00Z
2019-01-18T17:38:46Z
2019-01-18
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/24098
http://hdl.handle.net/10174/24098
https://doi.org/10.13140/RG.2.2.22184.01288
url http://hdl.handle.net/10174/24098
https://doi.org/10.13140/RG.2.2.22184.01288
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sara Pereira, Paulo Canhoto, Rui Salgado, Maria João Costa, Study and development of a solar radiation predicting algorithm based on ECMWF's forecasts and ANNs. Grand Renewable Energy 2018 - International Conference and Exhibition, 17 - 22 June, 2018, Pacifico Yokohama, Japan
sim
nao
nao
spereira@uevora.pt
canhoto@uevora.pt
rsal@uevora.pt
mjcosta@uevora.pt
286
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Grand Renewable Energy 2018 - International Conference and Exhibition
publisher.none.fl_str_mv Grand Renewable Energy 2018 - International Conference and Exhibition
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
_version_ 1799136630118809600

Registros relacionados