Solar radiation evaluation based on cloudiness data
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Geografia (Londrina) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/geografia/article/view/10346 |
Resumo: | The solar radiation reaching the earth’s surface is essential for a wide range of human activities. However, observations of this important meteorological variable are scarce. Having this said, this paper proposes a methodology to estimate the solar radiation upon a given area from easily obtained data. Both radiation components were analyzed: direct and diffuse. To do so, monthly climatic cloudiness data and the digital elevation model (DEM) were used. The atmospheric transmissivity and the diffuse ratio were estimated from an adaptation of an empirical relation involving cloudiness. Based on the DEM, the solar radiation was evaluated taking into account the slope and orientation of the surface and the influence of surrounding topography. These estimates were compared with direct global radiation measurements along the year of 2009. Due to the use of monthly cloudiness data, no good correlation was obtained for daily radiation. However, daily radiation integrated in a monthly base showed better results, especially in the months in which the observed rainfall was similar to the climatic precipitation expected. Furthermore, analyzing 2009 as a whole year, the proposed methodology showed good results, overestimating the global radiations in 7.25%. |
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Solar radiation evaluation based on cloudiness dataAvaliação da radiação solar com base em dados de nebulosidadeSolar radiationGIScloudinessdirect radiationdiffuse radiation.Radiação solarSIGnebulosidaderadiação diretaradiação difusaThe solar radiation reaching the earth’s surface is essential for a wide range of human activities. However, observations of this important meteorological variable are scarce. Having this said, this paper proposes a methodology to estimate the solar radiation upon a given area from easily obtained data. Both radiation components were analyzed: direct and diffuse. To do so, monthly climatic cloudiness data and the digital elevation model (DEM) were used. The atmospheric transmissivity and the diffuse ratio were estimated from an adaptation of an empirical relation involving cloudiness. Based on the DEM, the solar radiation was evaluated taking into account the slope and orientation of the surface and the influence of surrounding topography. These estimates were compared with direct global radiation measurements along the year of 2009. Due to the use of monthly cloudiness data, no good correlation was obtained for daily radiation. However, daily radiation integrated in a monthly base showed better results, especially in the months in which the observed rainfall was similar to the climatic precipitation expected. Furthermore, analyzing 2009 as a whole year, the proposed methodology showed good results, overestimating the global radiations in 7.25%. A radiação solar que atinge a superfície terrestre é essencial para uma ampla gama de atividades humanas. Contudo, observações desta importante variável meteorológica são escassas. Tendo isto em vista, este trabalho apresenta uma metodologia para estimar a radiação solar em uma dada área com base em dados de fácil obtenção. Foram analisadas ambas as componentens da radiação: direta e difusa. Para isto foram utilizados dados mensais de cobertura de nuvens de normal climatológica e o modelo digital de elevação do terreno (MDE). A transmissividade atmosférica e a proporção da parcela difusa foram estimadas a partir da adaptação de uma relação empírica envolvendo a nebulosidade. Com base no MDE, a radiação solar foi estimada levando em conta a declividade e orientação da superfície e a influência do relevo. Estas estimativas foram comparadas com medições diretas da radiação globa ao longo do ano de 2009. Devido à utilização de dados mensais de nebulosidade, não foi obtida boa correlação para a radiação diária. Contudo, a radiação diária integrada em base mensal, mostrou melhores resultados, especialmente nos meses em que a precipitação foi semelhante à normal climatológica de precipitação. Ainda, analisando todo ano de 2009 a metodologia proposta apresentou bons resultados, superestimando a radiação global em 7,25%. Universidade Estadual de Londrina2013-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/geografia/article/view/1034610.5433/2447-1747.2012v21n3p41GEOGRAFIA (Londrina); v. 21 n. 3 (2012); 41-552447-1747reponame:Geografia (Londrina)instname:Universidade Estadual de Londrina (UEL)instacron:UELporhttps://ojs.uel.br/revistas/uel/index.php/geografia/article/view/10346/13762Copyright (c) 2013 GEOGRAFIA (Londrina)info:eu-repo/semantics/openAccessMoojen, Thomaz Menna BarretoCavalcante, Rosane Barbosa LopesBulhões Mendes, Carlos André2013-12-16T22:17:00Zoai:ojs.pkp.sfu.ca:article/10346Revistahttps://www.uel.br/revistas/uel/index.php/geografiaPUBhttps://www.uel.br/revistas/uel/index.php/geografia/oairevista.geografia.uel@gmail.com||marcar@uel.br||laudi@uel.br2447-17470102-3888opendoar:2013-12-16T22:17Geografia (Londrina) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Solar radiation evaluation based on cloudiness data Avaliação da radiação solar com base em dados de nebulosidade |
title |
Solar radiation evaluation based on cloudiness data |
spellingShingle |
Solar radiation evaluation based on cloudiness data Moojen, Thomaz Menna Barreto Solar radiation GIS cloudiness direct radiation diffuse radiation. Radiação solar SIG nebulosidade radiação direta radiação difusa |
title_short |
Solar radiation evaluation based on cloudiness data |
title_full |
Solar radiation evaluation based on cloudiness data |
title_fullStr |
Solar radiation evaluation based on cloudiness data |
title_full_unstemmed |
Solar radiation evaluation based on cloudiness data |
title_sort |
Solar radiation evaluation based on cloudiness data |
author |
Moojen, Thomaz Menna Barreto |
author_facet |
Moojen, Thomaz Menna Barreto Cavalcante, Rosane Barbosa Lopes Bulhões Mendes, Carlos André |
author_role |
author |
author2 |
Cavalcante, Rosane Barbosa Lopes Bulhões Mendes, Carlos André |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Moojen, Thomaz Menna Barreto Cavalcante, Rosane Barbosa Lopes Bulhões Mendes, Carlos André |
dc.subject.por.fl_str_mv |
Solar radiation GIS cloudiness direct radiation diffuse radiation. Radiação solar SIG nebulosidade radiação direta radiação difusa |
topic |
Solar radiation GIS cloudiness direct radiation diffuse radiation. Radiação solar SIG nebulosidade radiação direta radiação difusa |
description |
The solar radiation reaching the earth’s surface is essential for a wide range of human activities. However, observations of this important meteorological variable are scarce. Having this said, this paper proposes a methodology to estimate the solar radiation upon a given area from easily obtained data. Both radiation components were analyzed: direct and diffuse. To do so, monthly climatic cloudiness data and the digital elevation model (DEM) were used. The atmospheric transmissivity and the diffuse ratio were estimated from an adaptation of an empirical relation involving cloudiness. Based on the DEM, the solar radiation was evaluated taking into account the slope and orientation of the surface and the influence of surrounding topography. These estimates were compared with direct global radiation measurements along the year of 2009. Due to the use of monthly cloudiness data, no good correlation was obtained for daily radiation. However, daily radiation integrated in a monthly base showed better results, especially in the months in which the observed rainfall was similar to the climatic precipitation expected. Furthermore, analyzing 2009 as a whole year, the proposed methodology showed good results, overestimating the global radiations in 7.25%. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/geografia/article/view/10346 10.5433/2447-1747.2012v21n3p41 |
url |
https://ojs.uel.br/revistas/uel/index.php/geografia/article/view/10346 |
identifier_str_mv |
10.5433/2447-1747.2012v21n3p41 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/geografia/article/view/10346/13762 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2013 GEOGRAFIA (Londrina) info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2013 GEOGRAFIA (Londrina) |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Londrina |
publisher.none.fl_str_mv |
Universidade Estadual de Londrina |
dc.source.none.fl_str_mv |
GEOGRAFIA (Londrina); v. 21 n. 3 (2012); 41-55 2447-1747 reponame:Geografia (Londrina) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Geografia (Londrina) |
collection |
Geografia (Londrina) |
repository.name.fl_str_mv |
Geografia (Londrina) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
revista.geografia.uel@gmail.com||marcar@uel.br||laudi@uel.br |
_version_ |
1799315431167623168 |