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

Autores
Lakkis, Susan Gabriela; Lavorato, Mario; Canziani, Pablo O.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Fil: Lavorato, Mario. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Fil: Canziani, Pablo O. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Abstract: 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
Fuente
Journal of Advances in Physics, Vol. 5, Nro. 1, 2014
ISSN 2347-3487
Materia
RADIACION SOLAR
METEOROLOGIA
ESTRADISTICAS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/5434

id RIUCA_7c660a1521bdb63e130dfb276c982eb3
oai_identifier_str oai:ucacris:123456789/5434
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Estimation of monthly global solar radiation in Buenos Aires : preliminary analysisLakkis, Susan GabrielaLavorato, MarioCanziani, Pablo O.RADIACION SOLARMETEOROLOGIAESTRADISTICASFil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; ArgentinaFil: Lavorato, Mario. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; ArgentinaFil: Canziani, Pablo O. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; ArgentinaAbstract: 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 behaviorUniversidad Católica Argentina (Buenos Aires). Facultad de Ciencias AgrariasConsejo Nacional de Investigaciones Científicas y Técnicas (Argentina)2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/54342347-3487Lakkis, S. G., Lavorato, M. y P. O. Canziani. 2014. Estimation of monthly global solar radiation in Buenos Aires : preliminary analysis [en línea]. Journal of advances in physics 5(1). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5434Journal of Advances in Physics, Vol. 5, Nro. 1, 2014ISSN 2347-3487reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica ArgentinaengBUENOS AIRESARGENTINAinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:56:07Zoai:ucacris:123456789/5434instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:56:07.81Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
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
RADIACION SOLAR
METEOROLOGIA
ESTRADISTICAS
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
Canziani, Pablo O.
author Lakkis, Susan Gabriela
author_facet Lakkis, Susan Gabriela
Lavorato, Mario
Canziani, Pablo O.
author_role author
author2 Lavorato, Mario
Canziani, Pablo O.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Católica Argentina (Buenos Aires). Facultad de Ciencias Agrarias
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
dc.subject.none.fl_str_mv RADIACION SOLAR
METEOROLOGIA
ESTRADISTICAS
topic RADIACION SOLAR
METEOROLOGIA
ESTRADISTICAS
dc.description.none.fl_txt_mv Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Fil: Lavorato, Mario. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Fil: Canziani, Pablo O. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
Abstract: 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
description Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina
publishDate 2014
dc.date.none.fl_str_mv 2014
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 https://repositorio.uca.edu.ar/handle/123456789/5434
2347-3487
Lakkis, S. G., Lavorato, M. y P. O. Canziani. 2014. Estimation of monthly global solar radiation in Buenos Aires : preliminary analysis [en línea]. Journal of advances in physics 5(1). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5434
url https://repositorio.uca.edu.ar/handle/123456789/5434
identifier_str_mv 2347-3487
Lakkis, S. G., Lavorato, M. y P. O. Canziani. 2014. Estimation of monthly global solar radiation in Buenos Aires : preliminary analysis [en línea]. Journal of advances in physics 5(1). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5434
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv BUENOS AIRES
ARGENTINA
dc.source.none.fl_str_mv Journal of Advances in Physics, Vol. 5, Nro. 1, 2014
ISSN 2347-3487
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
_version_ 1836638339372941312
score 13.22299