Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes

Autores
Fernández, María Eugenia; Gentili, Jorge Osvaldo; Campo, Alicia María
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper analyzes the spatio-temporal variability of sunshine duration in the south of the Pampeana region as a first approach to solar climatic analysis, main input for the use of this resource. Hourly sunshine duration records from 1991 to 2015 in eight Argentine cities were analyzed using statistics and geospatial techniques. In addition, we analyzed the frequency of clear sky and overcast days in order to relate it to the sunshine duration variability. Sunshine duration in the Pampeana region presented a linear gradient increasing in an east-west direction. An inverse relationship between the mean sunshine duration and coefficients of variation was found in all the cities. The highest mean values of sunshine duration were recorded located between 62°W and 65°W, where the lowest variability was also registered. The city of Mar del Plata showed the lowest mean values of sunshine duration (4.5 h) and the highest percentage of variability (78.1%), whereas Río Colorado recorded the highest mean values of sunshine duration (7.5 h) and the lowest variability (51.1%) over the observation period. During the warm season, it was recorded a difference of 3.7 h in the mean SD values between the stations Río Colorado and Mar del Plata. The spatial distribution of the solar resource in the Pampena region is markedly affected by weather systems playing at the regional scale of South America. In the cold season, the west-east movement of the high pressure cells promotes the occurrence of Sudestadas, which explain the variability of sunshine duration over the coastal areas.
Fil: Fernández, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Gentili, Jorge Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Campo, Alicia María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Materia
CLOUDINESS
PAMPEANA REGION
SPATIO-TEMPORAL VARIABILITY
SUNSHINE DURATION
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:11336/89123
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/89123
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle LatitudesFernández, María EugeniaGentili, Jorge OsvaldoCampo, Alicia MaríaCLOUDINESSPAMPEANA REGIONSPATIO-TEMPORAL VARIABILITYSUNSHINE DURATIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This paper analyzes the spatio-temporal variability of sunshine duration in the south of the Pampeana region as a first approach to solar climatic analysis, main input for the use of this resource. Hourly sunshine duration records from 1991 to 2015 in eight Argentine cities were analyzed using statistics and geospatial techniques. In addition, we analyzed the frequency of clear sky and overcast days in order to relate it to the sunshine duration variability. Sunshine duration in the Pampeana region presented a linear gradient increasing in an east-west direction. An inverse relationship between the mean sunshine duration and coefficients of variation was found in all the cities. The highest mean values of sunshine duration were recorded located between 62°W and 65°W, where the lowest variability was also registered. The city of Mar del Plata showed the lowest mean values of sunshine duration (4.5 h) and the highest percentage of variability (78.1%), whereas Río Colorado recorded the highest mean values of sunshine duration (7.5 h) and the lowest variability (51.1%) over the observation period. During the warm season, it was recorded a difference of 3.7 h in the mean SD values between the stations Río Colorado and Mar del Plata. The spatial distribution of the solar resource in the Pampena region is markedly affected by weather systems playing at the regional scale of South America. In the cold season, the west-east movement of the high pressure cells promotes the occurrence of Sudestadas, which explain the variability of sunshine duration over the coastal areas.Fil: Fernández, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaFil: Gentili, Jorge Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaFil: Campo, Alicia María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaSpringer2018-04-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/89123Fernández, María Eugenia; Gentili, Jorge Osvaldo; Campo, Alicia María; Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes; Springer; Environmental Processes; 5; 2; 21-4-2018; 313-3282198-74912198-7505CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s40710-018-0298-3info:eu-repo/semantics/altIdentifier/doi/10.1007/s40710-018-0298-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:44:13Zoai:ri.conicet.gov.ar:11336/89123instacron: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:34982025-10-15 14:44:13.599CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
title Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
spellingShingle Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
Fernández, María Eugenia
CLOUDINESS
PAMPEANA REGION
SPATIO-TEMPORAL VARIABILITY
SUNSHINE DURATION
title_short Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
title_full Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
title_fullStr Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
title_full_unstemmed Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
title_sort Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes
dc.creator.none.fl_str_mv Fernández, María Eugenia
Gentili, Jorge Osvaldo
Campo, Alicia María
author Fernández, María Eugenia
author_facet Fernández, María Eugenia
Gentili, Jorge Osvaldo
Campo, Alicia María
author_role author
author2 Gentili, Jorge Osvaldo
Campo, Alicia María
author2_role author
author
dc.subject.none.fl_str_mv CLOUDINESS
PAMPEANA REGION
SPATIO-TEMPORAL VARIABILITY
SUNSHINE DURATION
topic CLOUDINESS
PAMPEANA REGION
SPATIO-TEMPORAL VARIABILITY
SUNSHINE DURATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper analyzes the spatio-temporal variability of sunshine duration in the south of the Pampeana region as a first approach to solar climatic analysis, main input for the use of this resource. Hourly sunshine duration records from 1991 to 2015 in eight Argentine cities were analyzed using statistics and geospatial techniques. In addition, we analyzed the frequency of clear sky and overcast days in order to relate it to the sunshine duration variability. Sunshine duration in the Pampeana region presented a linear gradient increasing in an east-west direction. An inverse relationship between the mean sunshine duration and coefficients of variation was found in all the cities. The highest mean values of sunshine duration were recorded located between 62°W and 65°W, where the lowest variability was also registered. The city of Mar del Plata showed the lowest mean values of sunshine duration (4.5 h) and the highest percentage of variability (78.1%), whereas Río Colorado recorded the highest mean values of sunshine duration (7.5 h) and the lowest variability (51.1%) over the observation period. During the warm season, it was recorded a difference of 3.7 h in the mean SD values between the stations Río Colorado and Mar del Plata. The spatial distribution of the solar resource in the Pampena region is markedly affected by weather systems playing at the regional scale of South America. In the cold season, the west-east movement of the high pressure cells promotes the occurrence of Sudestadas, which explain the variability of sunshine duration over the coastal areas.
Fil: Fernández, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Gentili, Jorge Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Campo, Alicia María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
description This paper analyzes the spatio-temporal variability of sunshine duration in the south of the Pampeana region as a first approach to solar climatic analysis, main input for the use of this resource. Hourly sunshine duration records from 1991 to 2015 in eight Argentine cities were analyzed using statistics and geospatial techniques. In addition, we analyzed the frequency of clear sky and overcast days in order to relate it to the sunshine duration variability. Sunshine duration in the Pampeana region presented a linear gradient increasing in an east-west direction. An inverse relationship between the mean sunshine duration and coefficients of variation was found in all the cities. The highest mean values of sunshine duration were recorded located between 62°W and 65°W, where the lowest variability was also registered. The city of Mar del Plata showed the lowest mean values of sunshine duration (4.5 h) and the highest percentage of variability (78.1%), whereas Río Colorado recorded the highest mean values of sunshine duration (7.5 h) and the lowest variability (51.1%) over the observation period. During the warm season, it was recorded a difference of 3.7 h in the mean SD values between the stations Río Colorado and Mar del Plata. The spatial distribution of the solar resource in the Pampena region is markedly affected by weather systems playing at the regional scale of South America. In the cold season, the west-east movement of the high pressure cells promotes the occurrence of Sudestadas, which explain the variability of sunshine duration over the coastal areas.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-21
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/89123
Fernández, María Eugenia; Gentili, Jorge Osvaldo; Campo, Alicia María; Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes; Springer; Environmental Processes; 5; 2; 21-4-2018; 313-328
2198-7491
2198-7505
CONICET Digital
CONICET
url http://hdl.handle.net/11336/89123
identifier_str_mv Fernández, María Eugenia; Gentili, Jorge Osvaldo; Campo, Alicia María; Sunshine Duration Analysis as a First Step to Estimate Solar Resource for Photovoltaic Electricity Production in Middle Latitudes; Springer; Environmental Processes; 5; 2; 21-4-2018; 313-328
2198-7491
2198-7505
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://link.springer.com/10.1007/s40710-018-0298-3
info:eu-repo/semantics/altIdentifier/doi/10.1007/s40710-018-0298-3
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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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