Wind direction dodeling in Patos in Paraiba using von Mises probability distribution

Detalhes bibliográficos
Autor(a) principal: Santos, Fábio Sandro dos
Data de Publicação: 2020
Outros Autores: Pereira, Mickaelle Maria de Almeida, Silva , José Eduardo, Santos, Henrique Correia Torres, Stosic, Tatijana
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/11261
Resumo: Objective: we used the distribution of circular probabilities of von Mises to determine the predominant wind direction in Patos, Paraíba. Method: we used hourly data of circular wind direction, obtained by the National Institute of Meteorology - INMET, from July 21, 2007 to September 30, 2018. Circular statistics were applied to the data, more precisely, the von Mises distribution. Results: The results of the analyses showed that the von Mises distribution adjusted well to the wind direction data, verifying that the wind direction in this municipality is with a high variation in the Southeast direction. Conclusion: The analysis allowed to be a useful tool for a possible installation of a wind farm, obtaining a greater use of the wind direction in the locality.
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spelling Wind direction dodeling in Patos in Paraiba using von Mises probability distributionModelado de dirección de viento en Patos en Paraiba utilizando la distribución de probabilidad de von MisesModelagem da direção do vento em Patos na Paraíba utilizando a distribuição de probabilidade de von MisesEnergy sourceCircularWindsCircular statistics.Fuente de energíaCircularVientosEstadísticas Circulares.Fonte energéticaCircular VentosEstatística circular.Objective: we used the distribution of circular probabilities of von Mises to determine the predominant wind direction in Patos, Paraíba. Method: we used hourly data of circular wind direction, obtained by the National Institute of Meteorology - INMET, from July 21, 2007 to September 30, 2018. Circular statistics were applied to the data, more precisely, the von Mises distribution. Results: The results of the analyses showed that the von Mises distribution adjusted well to the wind direction data, verifying that the wind direction in this municipality is with a high variation in the Southeast direction. Conclusion: The analysis allowed to be a useful tool for a possible installation of a wind farm, obtaining a greater use of the wind direction in the locality.Objetivo: utilizamos la distribución de probabilidad circular de von Mises para determinar la dirección predominante del viento en Patos en Paraíba. Método: utilizamos datos por hora de dirección circular del viento, obtenidos por el Instituto Nacional de Meteorología - INMET, del 21 de julio de 2007 al 30 de septiembre de 2018. Se aplicaron estadísticas circulares a los datos, más precisamente, a la distribución de von Mises. Resultados: Los resultados de los análisis mostraron que la distribución de von Mises se ajustó bien a los datos de dirección del viento, verificando que la dirección del viento en este municipio es con una alta variación en la dirección sureste. Conclusión: El análisis permitió ser una herramienta útil para una posible instalación de un parque eólico, obteniendo un mayor uso de la dirección del viento en la localidad.Objetivo: utilizamos a distribuição de probabilidade circular de von Mises para determinar a direção predominante do vento em Patos na Paraíba. Método:  utilizaram-se dados horários de direção do vento circular, obtidos pelo Instituto Nacional de Meteorologia – INMET, no período de 21 de julho de 2007 a 30 de setembro de 2018. Foi aplicada estatística circular aos dados, mais precisamente, a distribuição de von Mises. Resultados: Os resultados das análises demonstraram que a distribuição de von Mises se ajustou bem aos dados de direção de vento, verificando que a direção do vento nesse município está com uma alta variação no sentido Sudeste. Conclusão: A análise permitiu ser uma ferramenta útil para uma possível instalação de um parque eólico, obtendo um maior aproveitamento da direção do vento, na localidade.Research, Society and Development2020-12-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1126110.33448/rsd-v9i12.11261Research, Society and Development; Vol. 9 No. 12; e38491211261Research, Society and Development; Vol. 9 Núm. 12; e38491211261Research, Society and Development; v. 9 n. 12; e384912112612525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/11261/10030Copyright (c) 2020 Fábio Sandro dos Santos; Mickaelle Maria de Almeida Pereira; José Eduardo Silva ; Henrique Correia Torres Santos; Tatijana Stosichttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Fábio Sandro dosPereira, Mickaelle Maria de Almeida Silva , José EduardoSantos, Henrique Correia Torres Stosic, Tatijana2020-12-30T23:32:22Zoai:ojs.pkp.sfu.ca:article/11261Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:08.196133Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
Modelado de dirección de viento en Patos en Paraiba utilizando la distribución de probabilidad de von Mises
Modelagem da direção do vento em Patos na Paraíba utilizando a distribuição de probabilidade de von Mises
title Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
spellingShingle Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
Santos, Fábio Sandro dos
Energy source
Circular
Winds
Circular statistics.
Fuente de energía
Circular
Vientos
Estadísticas Circulares.
Fonte energética
Circular
Ventos
Estatística circular.
title_short Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
title_full Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
title_fullStr Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
title_full_unstemmed Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
title_sort Wind direction dodeling in Patos in Paraiba using von Mises probability distribution
author Santos, Fábio Sandro dos
author_facet Santos, Fábio Sandro dos
Pereira, Mickaelle Maria de Almeida
Silva , José Eduardo
Santos, Henrique Correia Torres
Stosic, Tatijana
author_role author
author2 Pereira, Mickaelle Maria de Almeida
Silva , José Eduardo
Santos, Henrique Correia Torres
Stosic, Tatijana
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santos, Fábio Sandro dos
Pereira, Mickaelle Maria de Almeida
Silva , José Eduardo
Santos, Henrique Correia Torres
Stosic, Tatijana
dc.subject.por.fl_str_mv Energy source
Circular
Winds
Circular statistics.
Fuente de energía
Circular
Vientos
Estadísticas Circulares.
Fonte energética
Circular
Ventos
Estatística circular.
topic Energy source
Circular
Winds
Circular statistics.
Fuente de energía
Circular
Vientos
Estadísticas Circulares.
Fonte energética
Circular
Ventos
Estatística circular.
description Objective: we used the distribution of circular probabilities of von Mises to determine the predominant wind direction in Patos, Paraíba. Method: we used hourly data of circular wind direction, obtained by the National Institute of Meteorology - INMET, from July 21, 2007 to September 30, 2018. Circular statistics were applied to the data, more precisely, the von Mises distribution. Results: The results of the analyses showed that the von Mises distribution adjusted well to the wind direction data, verifying that the wind direction in this municipality is with a high variation in the Southeast direction. Conclusion: The analysis allowed to be a useful tool for a possible installation of a wind farm, obtaining a greater use of the wind direction in the locality.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/11261
10.33448/rsd-v9i12.11261
url https://rsdjournal.org/index.php/rsd/article/view/11261
identifier_str_mv 10.33448/rsd-v9i12.11261
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/11261/10030
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv 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 Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 12; e38491211261
Research, Society and Development; Vol. 9 Núm. 12; e38491211261
Research, Society and Development; v. 9 n. 12; e38491211261
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052667177992192

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