Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1115/1.4048300 http://hdl.handle.net/11449/208371 |
Resumo: | The interest of the direct normal irradiation (DNI) estimation is important in the evaluation of the solar potential and, consequently, for data correction and expansion of the historical series. In this study, a review of the performance of 16 models of radiative transfer was performed. These models are used to estimate DNI on a clear day in Botucatu/SP region located in Brazil. The revised models are categorized into two classes: simple models (11 models: ASH, MAJ, ALLEN, GH, P1, HLJ, FU, KU, H1, IP, and INC) and complex models (five models: BIRD, IQ, MRM5, P2, and YANG). The evaluation methodology used here is consistent with the literature. The input parameters were estimated and a statistical analysis using relative-mean-bias-error (rMBE), root-mean-square-error (rRMSE), and mean absolute percentage error (MAPE) indicators were performed to validate those models. The results indicate that the complex models (that require more atmospheric inputs) generally performed better than simpler models. Despite the consistent limitations in the use of estimated parameters, the performance of the models can be considered satisfactory. The best performances are highlighted for models MRM5 and YANG. Simple models ASH and IP performed similar to complex models. These results were confirmed using frequency distribution and the cumulative frequency analysis. These results are important for engineers of solar systems to use the best model and select the most suitable locations for installing a small or large solar plant. |
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Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, BrazilAtmospheric pollutionCumulative distributionDirect irradiance incidenceFrequency distributionParametric modelsStatistical analysisThe interest of the direct normal irradiation (DNI) estimation is important in the evaluation of the solar potential and, consequently, for data correction and expansion of the historical series. In this study, a review of the performance of 16 models of radiative transfer was performed. These models are used to estimate DNI on a clear day in Botucatu/SP region located in Brazil. The revised models are categorized into two classes: simple models (11 models: ASH, MAJ, ALLEN, GH, P1, HLJ, FU, KU, H1, IP, and INC) and complex models (five models: BIRD, IQ, MRM5, P2, and YANG). The evaluation methodology used here is consistent with the literature. The input parameters were estimated and a statistical analysis using relative-mean-bias-error (rMBE), root-mean-square-error (rRMSE), and mean absolute percentage error (MAPE) indicators were performed to validate those models. The results indicate that the complex models (that require more atmospheric inputs) generally performed better than simpler models. Despite the consistent limitations in the use of estimated parameters, the performance of the models can be considered satisfactory. The best performances are highlighted for models MRM5 and YANG. Simple models ASH and IP performed similar to complex models. These results were confirmed using frequency distribution and the cumulative frequency analysis. These results are important for engineers of solar systems to use the best model and select the most suitable locations for installing a small or large solar plant.Faculty of Agronomic Engineering UFPA, Rua 9 Coronel Jose Porfırio, n° 2515Saõ Paulo State University UNESPFederal University of Mato Grosso do SulDepartment of Mechanical Engineering University of M'SilaSaõ Paulo State University-UNESPSaõ Paulo State University UNESPSaõ Paulo State University-UNESPUniversidade Federal do Pará (UFPA)Universidade Estadual Paulista (Unesp)Federal University of Mato Grosso do SulUniversity of M'Silados Santos, Cıćero ManoelEscobedo, Joaõ Francisco [UNESP]de Souza, AmauryIhaddadene, RazikaGomes, Eduardo Nardini [UNESP]da Silva, Maurıćio Bruno Prado [UNESP]2021-06-25T11:11:04Z2021-06-25T11:11:04Z2021-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1115/1.4048300Journal of Solar Energy Engineering, Transactions of the ASME, v. 143, n. 3, 2021.1528-89860199-6231http://hdl.handle.net/11449/20837110.1115/1.40483002-s2.0-85100355542Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Solar Energy Engineering, Transactions of the ASMEinfo:eu-repo/semantics/openAccess2024-04-30T14:01:19Zoai:repositorio.unesp.br:11449/208371Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T14:01:19Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
title |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
spellingShingle |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil dos Santos, Cıćero Manoel Atmospheric pollution Cumulative distribution Direct irradiance incidence Frequency distribution Parametric models Statistical analysis |
title_short |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
title_full |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
title_fullStr |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
title_full_unstemmed |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
title_sort |
Comparative study of 16 clear-sky radiative transfer models to estimate direct normal irradiance (DNI) in Botucatu, Brazil |
author |
dos Santos, Cıćero Manoel |
author_facet |
dos Santos, Cıćero Manoel Escobedo, Joaõ Francisco [UNESP] de Souza, Amaury Ihaddadene, Razika Gomes, Eduardo Nardini [UNESP] da Silva, Maurıćio Bruno Prado [UNESP] |
author_role |
author |
author2 |
Escobedo, Joaõ Francisco [UNESP] de Souza, Amaury Ihaddadene, Razika Gomes, Eduardo Nardini [UNESP] da Silva, Maurıćio Bruno Prado [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal do Pará (UFPA) Universidade Estadual Paulista (Unesp) Federal University of Mato Grosso do Sul University of M'Sila |
dc.contributor.author.fl_str_mv |
dos Santos, Cıćero Manoel Escobedo, Joaõ Francisco [UNESP] de Souza, Amaury Ihaddadene, Razika Gomes, Eduardo Nardini [UNESP] da Silva, Maurıćio Bruno Prado [UNESP] |
dc.subject.por.fl_str_mv |
Atmospheric pollution Cumulative distribution Direct irradiance incidence Frequency distribution Parametric models Statistical analysis |
topic |
Atmospheric pollution Cumulative distribution Direct irradiance incidence Frequency distribution Parametric models Statistical analysis |
description |
The interest of the direct normal irradiation (DNI) estimation is important in the evaluation of the solar potential and, consequently, for data correction and expansion of the historical series. In this study, a review of the performance of 16 models of radiative transfer was performed. These models are used to estimate DNI on a clear day in Botucatu/SP region located in Brazil. The revised models are categorized into two classes: simple models (11 models: ASH, MAJ, ALLEN, GH, P1, HLJ, FU, KU, H1, IP, and INC) and complex models (five models: BIRD, IQ, MRM5, P2, and YANG). The evaluation methodology used here is consistent with the literature. The input parameters were estimated and a statistical analysis using relative-mean-bias-error (rMBE), root-mean-square-error (rRMSE), and mean absolute percentage error (MAPE) indicators were performed to validate those models. The results indicate that the complex models (that require more atmospheric inputs) generally performed better than simpler models. Despite the consistent limitations in the use of estimated parameters, the performance of the models can be considered satisfactory. The best performances are highlighted for models MRM5 and YANG. Simple models ASH and IP performed similar to complex models. These results were confirmed using frequency distribution and the cumulative frequency analysis. These results are important for engineers of solar systems to use the best model and select the most suitable locations for installing a small or large solar plant. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:11:04Z 2021-06-25T11:11:04Z 2021-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1115/1.4048300 Journal of Solar Energy Engineering, Transactions of the ASME, v. 143, n. 3, 2021. 1528-8986 0199-6231 http://hdl.handle.net/11449/208371 10.1115/1.4048300 2-s2.0-85100355542 |
url |
http://dx.doi.org/10.1115/1.4048300 http://hdl.handle.net/11449/208371 |
identifier_str_mv |
Journal of Solar Energy Engineering, Transactions of the ASME, v. 143, n. 3, 2021. 1528-8986 0199-6231 10.1115/1.4048300 2-s2.0-85100355542 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Solar Energy Engineering, Transactions of the ASME |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965121104052224 |