Insights on the use of wind speed vertical extrapolation methods
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , , |
| 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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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 |
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EA4EPQ |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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