Insights on the use of wind speed vertical extrapolation methods

Detalhes bibliográficos
Autor(a) principal: Pintor, A.
Data de Publicação: 2022
Outros Autores: Pinto, C., Mendonça, J., Pilão, Rosa Maria, Pinto, P.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.22/22353
Resumo: The present work aims to study the influence of using different methods for wind speed extrapolation in energy production calculations. A dataset of 21 meteorological masts from several landscape characteristics and locations, with at least one year of 10-minute wind speed/direction data, was used as the basis for calculations. Both the power law through estimation of wind shear coefficients, and the logarithmic-based profile using WAsP, were used as mathematical models for predicting wind shear. Wind speed extrapolation was performed either from the top-most height, using a distance method that incorporated all measurement heights, or using the function for wind shear coefficient prediction. It was found that using the logarithmicbased profile was the less reliable of all studied methods. The study showed that the most accurate method was the power law with wind shear coefficients estimated from the two upper heights closest to the extrapolation height, by wind direction sector of 30º, and the wind speeds extrapolation from the topmost height of the two. It is suggested that the use of this method reduces uncertainty in AEP estimates.
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spelling Insights on the use of wind speed vertical extrapolation methodsWind shearPower lawLogarithmic-based profileVertical wind speed extrapolationEnergy productionThe present work aims to study the influence of using different methods for wind speed extrapolation in energy production calculations. A dataset of 21 meteorological masts from several landscape characteristics and locations, with at least one year of 10-minute wind speed/direction data, was used as the basis for calculations. Both the power law through estimation of wind shear coefficients, and the logarithmic-based profile using WAsP, were used as mathematical models for predicting wind shear. Wind speed extrapolation was performed either from the top-most height, using a distance method that incorporated all measurement heights, or using the function for wind shear coefficient prediction. It was found that using the logarithmicbased profile was the less reliable of all studied methods. The study showed that the most accurate method was the power law with wind shear coefficients estimated from the two upper heights closest to the extrapolation height, by wind direction sector of 30º, and the wind speeds extrapolation from the topmost height of the two. It is suggested that the use of this method reduces uncertainty in AEP estimates.EA4EPQREPOSITÓRIO P.PORTOPintor, A.Pinto, C.Mendonça, J.Pilão, Rosa MariaPinto, P.2023-02-16T12:35:51Z20222022-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/22353eng10.24084/repqj20.410info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:15:17Zoai:recipp.ipp.pt:10400.22/22353Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:44:55.645998Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Insights on the use of wind speed vertical extrapolation methods
title Insights on the use of wind speed vertical extrapolation methods
spellingShingle Insights on the use of wind speed vertical extrapolation methods
Pintor, A.
Wind shear
Power law
Logarithmic-based profile
Vertical wind speed extrapolation
Energy production
title_short Insights on the use of wind speed vertical extrapolation methods
title_full Insights on the use of wind speed vertical extrapolation methods
title_fullStr Insights on the use of wind speed vertical extrapolation methods
title_full_unstemmed Insights on the use of wind speed vertical extrapolation methods
title_sort Insights on the use of wind speed vertical extrapolation methods
author Pintor, A.
author_facet Pintor, A.
Pinto, C.
Mendonça, J.
Pilão, Rosa Maria
Pinto, P.
author_role author
author2 Pinto, C.
Mendonça, J.
Pilão, Rosa Maria
Pinto, P.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Pintor, A.
Pinto, C.
Mendonça, J.
Pilão, Rosa Maria
Pinto, P.
dc.subject.por.fl_str_mv Wind shear
Power law
Logarithmic-based profile
Vertical wind speed extrapolation
Energy production
topic Wind shear
Power law
Logarithmic-based profile
Vertical wind speed extrapolation
Energy production
description The present work aims to study the influence of using different methods for wind speed extrapolation in energy production calculations. A dataset of 21 meteorological masts from several landscape characteristics and locations, with at least one year of 10-minute wind speed/direction data, was used as the basis for calculations. Both the power law through estimation of wind shear coefficients, and the logarithmic-based profile using WAsP, were used as mathematical models for predicting wind shear. Wind speed extrapolation was performed either from the top-most height, using a distance method that incorporated all measurement heights, or using the function for wind shear coefficient prediction. It was found that using the logarithmicbased profile was the less reliable of all studied methods. The study showed that the most accurate method was the power law with wind shear coefficients estimated from the two upper heights closest to the extrapolation height, by wind direction sector of 30º, and the wind speeds extrapolation from the topmost height of the two. It is suggested that the use of this method reduces uncertainty in AEP estimates.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-02-16T12:35:51Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/22353
url http://hdl.handle.net/10400.22/22353
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.24084/repqj20.410
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EA4EPQ
publisher.none.fl_str_mv EA4EPQ
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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