Development of an all-sky camera for short-term forecasting of photovoltaic generation

Autores
Santisi, Sebastián; Otero, Alejandro Daniel
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In photovoltaic solar generation, the intensity of solar radiation directly influences the power generated. The radiation is strongly affected by the presence of clouds, which modify it quickly and intermittently. In order to take control and management decisions for a photovoltaic installation, it would be desirable to have the ability of predicting the generation drop events. Among the different types of forecast available, the forecast using all-sky cameras is the only one capable of predicting the evolution of clouds based on local observation of the sky, allowing the events of the next few minutes to be anticipated. In this article we show the development of an all-sky camera prototype which covered both the design of the hardware and the procedure necessary to forecast the evolution of cloud cover, as well as its representation in software.
Fil: Santisi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
XIV Congreso Argentino de Meteorología
Buenos Aires
Argentina
Centro Argentino de Meteorólogos
Materia
Cloudiness
Solar radiation
Renewable energy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/210849
Acceder
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spelling Development of an all-sky camera for short-term forecasting of photovoltaic generationSantisi, SebastiánOtero, Alejandro DanielCloudinessSolar radiationRenewable energyhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In photovoltaic solar generation, the intensity of solar radiation directly influences the power generated. The radiation is strongly affected by the presence of clouds, which modify it quickly and intermittently. In order to take control and management decisions for a photovoltaic installation, it would be desirable to have the ability of predicting the generation drop events. Among the different types of forecast available, the forecast using all-sky cameras is the only one capable of predicting the evolution of clouds based on local observation of the sky, allowing the events of the next few minutes to be anticipated. In this article we show the development of an all-sky camera prototype which covered both the design of the hardware and the procedure necessary to forecast the evolution of cloud cover, as well as its representation in software.Fil: Santisi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaXIV Congreso Argentino de MeteorologíaBuenos AiresArgentinaCentro Argentino de MeteorólogosCentro Argentino de Meteorólogos2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/210849Development of an all-sky camera for short-term forecasting of photovoltaic generation; XIV Congreso Argentino de Meteorología; Buenos Aires; Argentina; 2022; 1-3CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://cenamet.org.ar/congremet/info:eu-repo/semantics/altIdentifier/url/http://cenamet.org.ar/congremet/wp-content/uploads/2023/02/LibroActas_compressed.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:07Zoai:ri.conicet.gov.ar:11336/210849instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:52:08.174CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of an all-sky camera for short-term forecasting of photovoltaic generation
title Development of an all-sky camera for short-term forecasting of photovoltaic generation
spellingShingle Development of an all-sky camera for short-term forecasting of photovoltaic generation
Santisi, Sebastián
Cloudiness
Solar radiation
Renewable energy
title_short Development of an all-sky camera for short-term forecasting of photovoltaic generation
title_full Development of an all-sky camera for short-term forecasting of photovoltaic generation
title_fullStr Development of an all-sky camera for short-term forecasting of photovoltaic generation
title_full_unstemmed Development of an all-sky camera for short-term forecasting of photovoltaic generation
title_sort Development of an all-sky camera for short-term forecasting of photovoltaic generation
dc.creator.none.fl_str_mv Santisi, Sebastián
Otero, Alejandro Daniel
author Santisi, Sebastián
author_facet Santisi, Sebastián
Otero, Alejandro Daniel
author_role author
author2 Otero, Alejandro Daniel
author2_role author
dc.subject.none.fl_str_mv Cloudiness
Solar radiation
Renewable energy
topic Cloudiness
Solar radiation
Renewable energy
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In photovoltaic solar generation, the intensity of solar radiation directly influences the power generated. The radiation is strongly affected by the presence of clouds, which modify it quickly and intermittently. In order to take control and management decisions for a photovoltaic installation, it would be desirable to have the ability of predicting the generation drop events. Among the different types of forecast available, the forecast using all-sky cameras is the only one capable of predicting the evolution of clouds based on local observation of the sky, allowing the events of the next few minutes to be anticipated. In this article we show the development of an all-sky camera prototype which covered both the design of the hardware and the procedure necessary to forecast the evolution of cloud cover, as well as its representation in software.
Fil: Santisi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
XIV Congreso Argentino de Meteorología
Buenos Aires
Argentina
Centro Argentino de Meteorólogos
description In photovoltaic solar generation, the intensity of solar radiation directly influences the power generated. The radiation is strongly affected by the presence of clouds, which modify it quickly and intermittently. In order to take control and management decisions for a photovoltaic installation, it would be desirable to have the ability of predicting the generation drop events. Among the different types of forecast available, the forecast using all-sky cameras is the only one capable of predicting the evolution of clouds based on local observation of the sky, allowing the events of the next few minutes to be anticipated. In this article we show the development of an all-sky camera prototype which covered both the design of the hardware and the procedure necessary to forecast the evolution of cloud cover, as well as its representation in software.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/210849
Development of an all-sky camera for short-term forecasting of photovoltaic generation; XIV Congreso Argentino de Meteorología; Buenos Aires; Argentina; 2022; 1-3
CONICET Digital
CONICET
url http://hdl.handle.net/11336/210849
identifier_str_mv Development of an all-sky camera for short-term forecasting of photovoltaic generation; XIV Congreso Argentino de Meteorología; Buenos Aires; Argentina; 2022; 1-3
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://cenamet.org.ar/congremet/
info:eu-repo/semantics/altIdentifier/url/http://cenamet.org.ar/congremet/wp-content/uploads/2023/02/LibroActas_compressed.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Centro Argentino de Meteorólogos
publisher.none.fl_str_mv Centro Argentino de Meteorólogos
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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