Photovoltaic productivity maps for Rio Grande do Sul (Brazil)
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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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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1800211190660464640 |