Global assessment of spatiotemporal changes of frequency of terrestrial wind speed

Wind energy, an important component of clean energy, is highly dictated by the disposable wind speed within the working regime of wind turbines (typically between 3 and 25 m s−1 at the hub height). Following a continuous reduction ('stilling') of global annual mean surface wind speed (SWS) since the 1960s, recently, researchers have reported a 'reversal' since 2011. However, little attention has been paid to the evolution of the effective wind speed for wind turbines. Since wind speed at hub height increases with SWS through power law, we focus on the wind speed frequency variations at various ranges of SWS through hourly in-situ observations and quantify their contributions to the average SWS changes over 1981–2021. We found that during the stilling period (here 1981–2010), the strong SWS (⩾ 5.0 m s−1, the 80th of global SWS) with decreasing frequency contributed 220.37% to the continuous weakening of mean SWS. During the reversal period of SWS (here 2011–2021), slight wind (0 m s−1 < SWS < 2.9 m s−1) contributed 64.07% to a strengthening of SWS. The strengthened strong wind (⩾ 5.0 m s−1) contributed 73.38% to the trend change of SWS from decrease to increase in 2010. Based on the synthetic capacity factor series calculated by considering commercial wind turbines (General Electric GE 2.5-120 model with rated power 2.5 MW) at the locations of the meteorological stations, the frequency changes resulted in a reduction of wind power energy (−10.02 TWh yr−1, p < 0.001) from 1981 to 2010 and relatively weak recovery (2.67 TWh yr−1, p < 0.05) during 2011–2021.

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Main Authors: Zhao, Yanan, Liang, Shijing, Liu, Yi, McVicar, Tim R., Azorín-Molina, César, Zhou, Lihong, Dunn, Robert J. H., Jerez, Sonia, Qin, Yingzuo, Yang, Xinrong, Xu, Jiayu, Zeng, Zhenzhong
Other Authors: National Natural Science Foundation of China
Format: artículo biblioteca
Published: IOP Publishing 2023
Subjects:Wind speed, Frequency changes, Wind energy, Power curve, Strong winds,
Online Access:http://hdl.handle.net/10261/339731
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spelling dig-cide-es-10261-3397312023-11-27T11:50:17Z Global assessment of spatiotemporal changes of frequency of terrestrial wind speed Zhao, Yanan Liang, Shijing Liu, Yi McVicar, Tim R. Azorín-Molina, César Zhou, Lihong Dunn, Robert J. H. Jerez, Sonia Qin, Yingzuo Yang, Xinrong Xu, Jiayu Zeng, Zhenzhong National Natural Science Foundation of China Basic and Applied Basic Foundation of Guangdong Province Southern University of Science and Technology (China) Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Consejo Superior de Investigaciones Científicas (España) Fundación BBVA Ministerio de Ciencia e Innovación (España) Wind speed Frequency changes Wind energy Power curve Strong winds Wind energy, an important component of clean energy, is highly dictated by the disposable wind speed within the working regime of wind turbines (typically between 3 and 25 m s−1 at the hub height). Following a continuous reduction ('stilling') of global annual mean surface wind speed (SWS) since the 1960s, recently, researchers have reported a 'reversal' since 2011. However, little attention has been paid to the evolution of the effective wind speed for wind turbines. Since wind speed at hub height increases with SWS through power law, we focus on the wind speed frequency variations at various ranges of SWS through hourly in-situ observations and quantify their contributions to the average SWS changes over 1981–2021. We found that during the stilling period (here 1981–2010), the strong SWS (⩾ 5.0 m s−1, the 80th of global SWS) with decreasing frequency contributed 220.37% to the continuous weakening of mean SWS. During the reversal period of SWS (here 2011–2021), slight wind (0 m s−1 < SWS < 2.9 m s−1) contributed 64.07% to a strengthening of SWS. The strengthened strong wind (⩾ 5.0 m s−1) contributed 73.38% to the trend change of SWS from decrease to increase in 2010. Based on the synthetic capacity factor series calculated by considering commercial wind turbines (General Electric GE 2.5-120 model with rated power 2.5 MW) at the locations of the meteorological stations, the frequency changes resulted in a reduction of wind power energy (−10.02 TWh yr−1, p < 0.001) from 1981 to 2010 and relatively weak recovery (2.67 TWh yr−1, p < 0.05) during 2011–2021. This study was supported by the National Natural Science Foundation of China (Grant No. 42071022), Guangdong Basic and Applied Basic Research Fund (2022A1515240070) and the start-up fund provided by Southern University of Science and Technology (no. 29/Y01296122). C A-M was supported by the IBER-STILLING (RTI2018-095749-A-I00, MCIU/AEI/FEDER,UE); VENTS (GVA-AICO/2021/023); the CSIC Interdisciplinary Thematic Platform (PTI) Clima (PTI-CLIMA); and the 2021 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation. RJHD was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and by the UK-China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund. SJ was supported by the Ramon y Cajal program and the OPEN project (RYC2020-029993-I and TED2021-131074B-I00, MCIU/AEI/FEDER,UE). 2023-11-27T11:50:16Z 2023-11-27T11:50:16Z 2023 2023-11-27T11:50:17Z artículo doi: 10.1088/1748-9326/acc9d5 e-issn: 1748-9326 Environmental Research Letters 18(4): 044048 (2023) http://hdl.handle.net/10261/339731 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00/ES/EVALUACION Y ATRIBUCION DE LA VARIABILIDAD DE LA VELOCIDAD MEDIA Y LAS RACHAS MAXIMAS DE VIENTO: CAUSAS DEL FENOMENO STILLING/ info:eu-repo/grantAgreement/AEI//RYC2020-029993-I info:eu-repo/grantAgreement/AEI//TED2021-131074B-I00 Publisher's version http://dx.doi.org/10.1088/1748-9326/acc9d5 Sí open IOP Publishing
institution CIDE ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-cide-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del CIDE España
topic Wind speed
Frequency changes
Wind energy
Power curve
Strong winds
Wind speed
Frequency changes
Wind energy
Power curve
Strong winds
spellingShingle Wind speed
Frequency changes
Wind energy
Power curve
Strong winds
Wind speed
Frequency changes
Wind energy
Power curve
Strong winds
Zhao, Yanan
Liang, Shijing
Liu, Yi
McVicar, Tim R.
Azorín-Molina, César
Zhou, Lihong
Dunn, Robert J. H.
Jerez, Sonia
Qin, Yingzuo
Yang, Xinrong
Xu, Jiayu
Zeng, Zhenzhong
Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
description Wind energy, an important component of clean energy, is highly dictated by the disposable wind speed within the working regime of wind turbines (typically between 3 and 25 m s−1 at the hub height). Following a continuous reduction ('stilling') of global annual mean surface wind speed (SWS) since the 1960s, recently, researchers have reported a 'reversal' since 2011. However, little attention has been paid to the evolution of the effective wind speed for wind turbines. Since wind speed at hub height increases with SWS through power law, we focus on the wind speed frequency variations at various ranges of SWS through hourly in-situ observations and quantify their contributions to the average SWS changes over 1981–2021. We found that during the stilling period (here 1981–2010), the strong SWS (⩾ 5.0 m s−1, the 80th of global SWS) with decreasing frequency contributed 220.37% to the continuous weakening of mean SWS. During the reversal period of SWS (here 2011–2021), slight wind (0 m s−1 < SWS < 2.9 m s−1) contributed 64.07% to a strengthening of SWS. The strengthened strong wind (⩾ 5.0 m s−1) contributed 73.38% to the trend change of SWS from decrease to increase in 2010. Based on the synthetic capacity factor series calculated by considering commercial wind turbines (General Electric GE 2.5-120 model with rated power 2.5 MW) at the locations of the meteorological stations, the frequency changes resulted in a reduction of wind power energy (−10.02 TWh yr−1, p < 0.001) from 1981 to 2010 and relatively weak recovery (2.67 TWh yr−1, p < 0.05) during 2011–2021.
author2 National Natural Science Foundation of China
author_facet National Natural Science Foundation of China
Zhao, Yanan
Liang, Shijing
Liu, Yi
McVicar, Tim R.
Azorín-Molina, César
Zhou, Lihong
Dunn, Robert J. H.
Jerez, Sonia
Qin, Yingzuo
Yang, Xinrong
Xu, Jiayu
Zeng, Zhenzhong
format artículo
topic_facet Wind speed
Frequency changes
Wind energy
Power curve
Strong winds
author Zhao, Yanan
Liang, Shijing
Liu, Yi
McVicar, Tim R.
Azorín-Molina, César
Zhou, Lihong
Dunn, Robert J. H.
Jerez, Sonia
Qin, Yingzuo
Yang, Xinrong
Xu, Jiayu
Zeng, Zhenzhong
author_sort Zhao, Yanan
title Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
title_short Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
title_full Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
title_fullStr Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
title_full_unstemmed Global assessment of spatiotemporal changes of frequency of terrestrial wind speed
title_sort global assessment of spatiotemporal changes of frequency of terrestrial wind speed
publisher IOP Publishing
publishDate 2023
url http://hdl.handle.net/10261/339731
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