Photovoltaic productivity maps for Rio Grande do Sul (Brazil)

Detalhes bibliográficos
Autor(a) principal: Krenzinger, Arno
Data de Publicação: 2022
Outros Autores: Prieb, César Wilhelm Massen, Gasparin, Fabiano Perin
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Engenharia Química e Química
Texto Completo: https://periodicos.ufv.br/jcec/article/view/14639
Resumo: This article presents the methodology that was used to produce photovoltaic potential maps in the State of Rio Grande do Sul, Brazil, and the results achieved. Data from 33 automatic weather stations installed in the RGS were compiled, including a series of hourly data recorded over more than 15 years. With procedures well known in the literature, the solar irradiation data were separated into the direct and diffuse components to calculate solar irradiation on tilted surfaces at different orientations. The impact of glass reflection on the top cover of conversion equipment was also calculated for different orientation angles. Using the methodology presented in this work, the photovoltaic potential was calculated as an annual average and a seasonal average. For the interpolation between the stations, the Weather Research and Forecasting Model (WRF) was used, adapted by the company UL Truepower for the climatology of southern Brazil. This work was part of the elaboration of the Solar Atlas of Rio Grande do Sul, published in late 2018.
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spelling Photovoltaic productivity maps for Rio Grande do Sul (Brazil)Mapas de produtividade fotovoltaica para o Rio Grande do Sul (Brasil)Mapa de potencial fotovoltaicoDados meteorológicosIrradiação SolarPhotovoltaic potential maps. Meteorological data. Solar Irradiation.This article presents the methodology that was used to produce photovoltaic potential maps in the State of Rio Grande do Sul, Brazil, and the results achieved. Data from 33 automatic weather stations installed in the RGS were compiled, including a series of hourly data recorded over more than 15 years. With procedures well known in the literature, the solar irradiation data were separated into the direct and diffuse components to calculate solar irradiation on tilted surfaces at different orientations. The impact of glass reflection on the top cover of conversion equipment was also calculated for different orientation angles. Using the methodology presented in this work, the photovoltaic potential was calculated as an annual average and a seasonal average. For the interpolation between the stations, the Weather Research and Forecasting Model (WRF) was used, adapted by the company UL Truepower for the climatology of southern Brazil. This work was part of the elaboration of the Solar Atlas of Rio Grande do Sul, published in late 2018.Este trabalho apresenta a metodologia que foi usada para produzir mapas de produtividade fotovoltaica no Estado do Rio Grande do Sul, Brasil, e os resultados alcançados. A partir de dados de 33 estações meteorológicas automáticas instaladas no RGS foram compiladas séries de dados horários registrados ao longo de mais de 15 anos. Com procedimentos bem conhecidos na literatura, os dados foram separados nas componentes direta e difusa para o cálculo da irradiação solar sobre superfícies inclinadas em diferentes orientações. Também foi calculado o impacto da reflexão do vidro da cobertura de equipamentos de conversão, para os diferentes ângulos de incidência. Pela metodologia apresentada neste trabalho, foi calculada a produtividade fotovoltaica em média anual e em média sazonal. Para a interpolação entre as estações foi utilizado o modelo meteorológico Weather Research and Forecasting Model (WRF) adaptado pela empresa UL Truepower para a climatologia do sul do Brasil. Este trabalho fez parte da elaboração do Atlas Solar do Rio Grande do Sul, publicado no final de 2018.Universidade Federal de Viçosa - UFV2022-09-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo, Manuscrito, Eventosapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1463910.18540/jcecvl8iss6pp14639-01iThe Journal of Engineering and Exact Sciences; Vol. 8 No. 6 (2022); 14639-01iThe Journal of Engineering and Exact Sciences; Vol. 8 Núm. 6 (2022); 14639-01iThe Journal of Engineering and Exact Sciences; v. 8 n. 6 (2022); 14639-01i2527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/jcec/article/view/14639/7465Copyright (c) 2022 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessKrenzinger, ArnoPrieb, César Wilhelm MassenGasparin, Fabiano Perin2022-09-29T16:49:34Zoai:ojs.periodicos.ufv.br:article/14639Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2022-09-29T16:49:34Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
Mapas de produtividade fotovoltaica para o Rio Grande do Sul (Brasil)
title Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
spellingShingle Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
Krenzinger, Arno
Mapa de potencial fotovoltaico
Dados meteorológicos
Irradiação Solar
Photovoltaic potential maps. Meteorological data. Solar Irradiation.
title_short Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
title_full Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
title_fullStr Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
title_full_unstemmed Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
title_sort Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
author Krenzinger, Arno
author_facet Krenzinger, Arno
Prieb, César Wilhelm Massen
Gasparin, Fabiano Perin
author_role author
author2 Prieb, César Wilhelm Massen
Gasparin, Fabiano Perin
author2_role author
author
dc.contributor.author.fl_str_mv Krenzinger, Arno
Prieb, César Wilhelm Massen
Gasparin, Fabiano Perin
dc.subject.por.fl_str_mv Mapa de potencial fotovoltaico
Dados meteorológicos
Irradiação Solar
Photovoltaic potential maps. Meteorological data. Solar Irradiation.
topic Mapa de potencial fotovoltaico
Dados meteorológicos
Irradiação Solar
Photovoltaic potential maps. Meteorological data. Solar Irradiation.
description This article presents the methodology that was used to produce photovoltaic potential maps in the State of Rio Grande do Sul, Brazil, and the results achieved. Data from 33 automatic weather stations installed in the RGS were compiled, including a series of hourly data recorded over more than 15 years. With procedures well known in the literature, the solar irradiation data were separated into the direct and diffuse components to calculate solar irradiation on tilted surfaces at different orientations. The impact of glass reflection on the top cover of conversion equipment was also calculated for different orientation angles. Using the methodology presented in this work, the photovoltaic potential was calculated as an annual average and a seasonal average. For the interpolation between the stations, the Weather Research and Forecasting Model (WRF) was used, adapted by the company UL Truepower for the climatology of southern Brazil. This work was part of the elaboration of the Solar Atlas of Rio Grande do Sul, published in late 2018.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo, Manuscrito, Eventos
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/14639
10.18540/jcecvl8iss6pp14639-01i
url https://periodicos.ufv.br/jcec/article/view/14639
identifier_str_mv 10.18540/jcecvl8iss6pp14639-01i
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/14639/7465
dc.rights.driver.fl_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 8 No. 6 (2022); 14639-01i
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 6 (2022); 14639-01i
The Journal of Engineering and Exact Sciences; v. 8 n. 6 (2022); 14639-01i
2527-1075
reponame:Revista de Engenharia Química e Química
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista de Engenharia Química e Química
collection Revista de Engenharia Química e Química
repository.name.fl_str_mv Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv jcec.journal@ufv.br||req2@ufv.br
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