Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis

Autores
Lakkis, Susan Gabriela; Lavorato, Mario Blas; Canziani, Pablo Osvaldo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Six existing models and one proposed approach for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. Statistical predictors as mean bias error, root mean square, mean percentage error, slope and regression coefficients were used as validation criteria. The variability explained (R2), slope and MPE indicated that the higher precision could be excepted when sunshine hours are used as predictor. The new proposed approach explained almost 99% of the RG variability with deviation of less than ± 0.1 MJm-2day-1 and with the MPE smallest value below 1 %. The well known Ångström-Prescott methods, first and third order, was also found to perform for the measured data with high accuracy (R2=0.97-0.99) but with slightly higher MBE values (0.17-0.18 MJm-2day-1). The results pointed out that the third order Ångström type correlation did not improve the estimation accuracy of solar radiation given the highest range of deviation and mean percentage error obtained. Where the sunshine hours were not available, the formulae including temperature data might be considered as an alternative although the methods displayed larger deviation and tended to overestimate the solar radiation behavior.
Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
Fil: Lavorato, Mario Blas. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
Fil: Canziani, Pablo Osvaldo. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Monthly Solar Radiation
Meteorological Data
Statistical Predictors
Argentina
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/35982
Acceder
id CONICETDig_b0fdf2dfdca4c83b04451a361ddc1b35
oai_identifier_str oai:ri.conicet.gov.ar:11336/35982
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimation of monthly global solar radiation in Buenos Aires: preliminary analysisLakkis, Susan GabrielaLavorato, Mario BlasCanziani, Pablo OsvaldoMonthly Solar RadiationMeteorological DataStatistical PredictorsArgentinahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Six existing models and one proposed approach for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. Statistical predictors as mean bias error, root mean square, mean percentage error, slope and regression coefficients were used as validation criteria. The variability explained (R2), slope and MPE indicated that the higher precision could be excepted when sunshine hours are used as predictor. The new proposed approach explained almost 99% of the RG variability with deviation of less than ± 0.1 MJm-2day-1 and with the MPE smallest value below 1 %. The well known Ångström-Prescott methods, first and third order, was also found to perform for the measured data with high accuracy (R2=0.97-0.99) but with slightly higher MBE values (0.17-0.18 MJm-2day-1). The results pointed out that the third order Ångström type correlation did not improve the estimation accuracy of solar radiation given the highest range of deviation and mean percentage error obtained. Where the sunshine hours were not available, the formulae including temperature data might be considered as an alternative although the methods displayed larger deviation and tended to overestimate the solar radiation behavior.Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; ArgentinaFil: Lavorato, Mario Blas. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; ArgentinaFil: Canziani, Pablo Osvaldo. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCouncil for Innovative Resarch2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/35982Lakkis, Susan Gabriela; Lavorato, Mario Blas; Canziani, Pablo Osvaldo; Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis; Council for Innovative Resarch; Journal of Advances in Physics; 5; 1; 7-2014; 669-6802347-3487CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://cirworld.com/index.php/jap/article/view/1596info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:21Zoai:ri.conicet.gov.ar:11336/35982instacron: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:34982025-09-03 09:57:21.848CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
title Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
spellingShingle Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
Lakkis, Susan Gabriela
Monthly Solar Radiation
Meteorological Data
Statistical Predictors
Argentina
title_short Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
title_full Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
title_fullStr Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
title_full_unstemmed Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
title_sort Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
dc.creator.none.fl_str_mv Lakkis, Susan Gabriela
Lavorato, Mario Blas
Canziani, Pablo Osvaldo
author Lakkis, Susan Gabriela
author_facet Lakkis, Susan Gabriela
Lavorato, Mario Blas
Canziani, Pablo Osvaldo
author_role author
author2 Lavorato, Mario Blas
Canziani, Pablo Osvaldo
author2_role author
author
dc.subject.none.fl_str_mv Monthly Solar Radiation
Meteorological Data
Statistical Predictors
Argentina
topic Monthly Solar Radiation
Meteorological Data
Statistical Predictors
Argentina
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Six existing models and one proposed approach for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. Statistical predictors as mean bias error, root mean square, mean percentage error, slope and regression coefficients were used as validation criteria. The variability explained (R2), slope and MPE indicated that the higher precision could be excepted when sunshine hours are used as predictor. The new proposed approach explained almost 99% of the RG variability with deviation of less than ± 0.1 MJm-2day-1 and with the MPE smallest value below 1 %. The well known Ångström-Prescott methods, first and third order, was also found to perform for the measured data with high accuracy (R2=0.97-0.99) but with slightly higher MBE values (0.17-0.18 MJm-2day-1). The results pointed out that the third order Ångström type correlation did not improve the estimation accuracy of solar radiation given the highest range of deviation and mean percentage error obtained. Where the sunshine hours were not available, the formulae including temperature data might be considered as an alternative although the methods displayed larger deviation and tended to overestimate the solar radiation behavior.
Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
Fil: Lavorato, Mario Blas. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
Fil: Canziani, Pablo Osvaldo. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Six existing models and one proposed approach for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. Statistical predictors as mean bias error, root mean square, mean percentage error, slope and regression coefficients were used as validation criteria. The variability explained (R2), slope and MPE indicated that the higher precision could be excepted when sunshine hours are used as predictor. The new proposed approach explained almost 99% of the RG variability with deviation of less than ± 0.1 MJm-2day-1 and with the MPE smallest value below 1 %. The well known Ångström-Prescott methods, first and third order, was also found to perform for the measured data with high accuracy (R2=0.97-0.99) but with slightly higher MBE values (0.17-0.18 MJm-2day-1). The results pointed out that the third order Ångström type correlation did not improve the estimation accuracy of solar radiation given the highest range of deviation and mean percentage error obtained. Where the sunshine hours were not available, the formulae including temperature data might be considered as an alternative although the methods displayed larger deviation and tended to overestimate the solar radiation behavior.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
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/11336/35982
Lakkis, Susan Gabriela; Lavorato, Mario Blas; Canziani, Pablo Osvaldo; Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis; Council for Innovative Resarch; Journal of Advances in Physics; 5; 1; 7-2014; 669-680
2347-3487
CONICET Digital
CONICET
url http://hdl.handle.net/11336/35982
identifier_str_mv Lakkis, Susan Gabriela; Lavorato, Mario Blas; Canziani, Pablo Osvaldo; Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis; Council for Innovative Resarch; Journal of Advances in Physics; 5; 1; 7-2014; 669-680
2347-3487
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://cirworld.com/index.php/jap/article/view/1596
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Council for Innovative Resarch
publisher.none.fl_str_mv Council for Innovative Resarch
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
_version_ 1842269458371969024
score 13.13397

Publicaciones similares