Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/11460 |
Resumo: | Purpose: In this paper, we analyzed the intra-annual variability of complexity of wind dynamics in Petrolina, Brazil and its relation with the wind potential. Methodology: We applied the Multiscale Sample Entropy (MSE) method on wind speed temporal series for each month of 2010. The data are recorded every 10 min at 50m height. Results: The results showed higher entropy values at higher temporal scales indicating that wind speed fluctuations are les regular and less predictable when wind speed is observed at lower temporal frequency. For all months, average wind speed is above a cut in level 3.5 m, the speed at which turbines start operating and producing electricity, indicating that the location of Petrolina is promising for wind energy generation. We also found that the wind speed is positively correlated with entropy values for all months when recorded at 10min frequency and between August and December when recorded t 1 h frequency. Conclusion: In these periods wind speed temporal fluctuations are more irregular, which is considered as unfavorable condition for the operation of wind turbines, leading to lower efficiency in the capture of wind energy for electricity production. |
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Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast BrazilAnálisis de la dinámica del viento en Petrolina, Noreste de Brasil, utilizando Multiscale EntropyAnalise da dinâmica do vento em Petrolina, Nordeste do Brasil, utilizando Multiscale EntropyVelocidade do ventoMultiscale entropyEnergia eólica.Velocidad del vientoMultiscale entropyEnergía eólica.Wind speedMultiscale entropyWind energy.Purpose: In this paper, we analyzed the intra-annual variability of complexity of wind dynamics in Petrolina, Brazil and its relation with the wind potential. Methodology: We applied the Multiscale Sample Entropy (MSE) method on wind speed temporal series for each month of 2010. The data are recorded every 10 min at 50m height. Results: The results showed higher entropy values at higher temporal scales indicating that wind speed fluctuations are les regular and less predictable when wind speed is observed at lower temporal frequency. For all months, average wind speed is above a cut in level 3.5 m, the speed at which turbines start operating and producing electricity, indicating that the location of Petrolina is promising for wind energy generation. We also found that the wind speed is positively correlated with entropy values for all months when recorded at 10min frequency and between August and December when recorded t 1 h frequency. Conclusion: In these periods wind speed temporal fluctuations are more irregular, which is considered as unfavorable condition for the operation of wind turbines, leading to lower efficiency in the capture of wind energy for electricity production.Objetivó: En este trabajo analizamos la variabilidad intra-anual de la complejidad de la dinámica del viento en Petrolina, Brasil y su relación con el potencial eólico. Metodología: Se aplicó el método de Multiscale Sample Entropy Entropy (MSE) en series temporales de velocidad del viento para cada mes de 2010. Los datos se registran cada 10 min a 50 m de altura. Resultados: Los resultados mostraron valores de entropía más altos en escalas temporales más altos, lo que indica que las fluctuaciones de la velocidad del viento son menos regulares y menos predecibles cuando la velocidad del viento se observa a una frecuencia temporal más baja. Para todos los meses, la velocidad media del viento está por encima de 3.5 m, la velocidad a la que las turbinas comienzan a funcionar y a producir electricidad, lo que indica que la ubicación de Petrolina es prometedora para la generación de energía eólica. También encontramos que la velocidad del viento se correlaciona positivamente con los valores de entropía para todos los meses cuando se registra a una frecuencia de 10 min y entre agosto y diciembre cuando se registra una frecuencia de t 1 h. Conclusión: En estos períodos las fluctuaciones temporales de la velocidad del viento son más irregulares, lo que se considera una condición desfavorable para el funcionamiento de los aerogeneradores, lo que conlleva una menor eficiencia en la captación de energía eólica para la producción de electricidad.Objetivo: Neste artigo analisamos a variabilidade intra-anual da complexidade da dinâmica do vento em Petrolina, Brasil e sua relação com o potencial eólico. Metodologia: Aplicamos o método Multiscale Sample Entropy (MSE) nas séries temporais da velocidade do vento para cada mês de 2010. Os dados são registrados a cada 10 minutos a 50m de altura. Resultados: Os resultados mostraram os valores de entropia mais altos em escales temporais maiores, indicando que as flutuações da velocidade do vento são menos regulares e menos previsíveis quando a velocidade do vento é observada em frequência temporal mais baixa. Em todos os meses a velocidade média do vento está acima de 3,5 m, velocidade na qual as turbinas começam a operar e produzir eletricidade, indicando que a localização de Petrolina é promissora para a geração de energia eólica. Também descobrimos que a velocidade do vento está positivamente correlacionada com os valores de entropia para todos os meses quando dados são registrados na freqüência de 10min e entre agosto e dezembro quando são registrados na freqüência de 1 h. Conclusão: Nestes períodos as flutuações temporais da velocidade do vento são mais irregulares, o que é considerado condição desfavorável para o funcionamento dos aerogeradores, levando a uma menor eficiência na captação de energia eólica para a produção de eletricidade.Research, Society and Development2021-01-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1146010.33448/rsd-v10i1.11460Research, Society and Development; Vol. 10 No. 1; e8210111460Research, Society and Development; Vol. 10 Núm. 1; e8210111460Research, Society and Development; v. 10 n. 1; e82101114602525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/11460/10279Copyright (c) 2021 Gutenberg Ferreira da Silva; Ikaro Daniel de Carvalho Barreto; Tatijana Stosichttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Gutenberg Ferreira da Barreto, Ikaro Daniel de CarvalhoStosic, Tatijana 2021-02-20T21:19:23Zoai:ojs.pkp.sfu.ca:article/11460Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:17.015216Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil Análisis de la dinámica del viento en Petrolina, Noreste de Brasil, utilizando Multiscale Entropy Analise da dinâmica do vento em Petrolina, Nordeste do Brasil, utilizando Multiscale Entropy |
title |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
spellingShingle |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil Silva, Gutenberg Ferreira da Velocidade do vento Multiscale entropy Energia eólica. Velocidad del viento Multiscale entropy Energía eólica. Wind speed Multiscale entropy Wind energy. |
title_short |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
title_full |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
title_fullStr |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
title_full_unstemmed |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
title_sort |
Multiscale entropy analysis of wind speed dynamics in Petrolina, Northeast Brazil |
author |
Silva, Gutenberg Ferreira da |
author_facet |
Silva, Gutenberg Ferreira da Barreto, Ikaro Daniel de Carvalho Stosic, Tatijana |
author_role |
author |
author2 |
Barreto, Ikaro Daniel de Carvalho Stosic, Tatijana |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Gutenberg Ferreira da Barreto, Ikaro Daniel de Carvalho Stosic, Tatijana |
dc.subject.por.fl_str_mv |
Velocidade do vento Multiscale entropy Energia eólica. Velocidad del viento Multiscale entropy Energía eólica. Wind speed Multiscale entropy Wind energy. |
topic |
Velocidade do vento Multiscale entropy Energia eólica. Velocidad del viento Multiscale entropy Energía eólica. Wind speed Multiscale entropy Wind energy. |
description |
Purpose: In this paper, we analyzed the intra-annual variability of complexity of wind dynamics in Petrolina, Brazil and its relation with the wind potential. Methodology: We applied the Multiscale Sample Entropy (MSE) method on wind speed temporal series for each month of 2010. The data are recorded every 10 min at 50m height. Results: The results showed higher entropy values at higher temporal scales indicating that wind speed fluctuations are les regular and less predictable when wind speed is observed at lower temporal frequency. For all months, average wind speed is above a cut in level 3.5 m, the speed at which turbines start operating and producing electricity, indicating that the location of Petrolina is promising for wind energy generation. We also found that the wind speed is positively correlated with entropy values for all months when recorded at 10min frequency and between August and December when recorded t 1 h frequency. Conclusion: In these periods wind speed temporal fluctuations are more irregular, which is considered as unfavorable condition for the operation of wind turbines, leading to lower efficiency in the capture of wind energy for electricity production. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-03 |
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/11460 10.33448/rsd-v10i1.11460 |
url |
https://rsdjournal.org/index.php/rsd/article/view/11460 |
identifier_str_mv |
10.33448/rsd-v10i1.11460 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/11460/10279 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Gutenberg Ferreira da Silva; Ikaro Daniel de Carvalho Barreto; Tatijana Stosic https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Gutenberg Ferreira da Silva; Ikaro Daniel de Carvalho Barreto; Tatijana Stosic 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. 10 No. 1; e8210111460 Research, Society and Development; Vol. 10 Núm. 1; e8210111460 Research, Society and Development; v. 10 n. 1; e8210111460 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_ |
1797052667459010560 |