Spatiotemporal variation of power law exponent on the use of wind energy

The power law, a common method in wind energy assessments, often assumes a global power law exponent (α) of 1/7, potentially leading to inaccuracies in estimating wind conditions and energy potential. This study uses high-frequency measurements from eight wind towers to assess the power law's r...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied energy 2024-02, Vol.356, p.122441, Article 122441
Hauptverfasser: Yang, Xinrong, Jiang, Xin, Liang, Shijing, Qin, Yingzuo, Ye, Fan, Ye, Bin, Xu, Jiayu, He, Xinyue, Wu, Jie, Dong, Tianyun, Cai, Xitian, Xu, Rongrong, Zeng, Zhenzhong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 122441
container_title Applied energy
container_volume 356
creator Yang, Xinrong
Jiang, Xin
Liang, Shijing
Qin, Yingzuo
Ye, Fan
Ye, Bin
Xu, Jiayu
He, Xinyue
Wu, Jie
Dong, Tianyun
Cai, Xitian
Xu, Rongrong
Zeng, Zhenzhong
description The power law, a common method in wind energy assessments, often assumes a global power law exponent (α) of 1/7, potentially leading to inaccuracies in estimating wind conditions and energy potential. This study uses high-frequency measurements from eight wind towers to assess the power law's reliability and demonstrates its general applicability, except in complex topography. The α value is found to differ significantly from 1/7 in validation sites, yet it can be reliably used in ERA5 data based on regional verification. To evaluate the global spatiotemporal variation of α, we analyze the hourly α from 1980 to 2022 using ERA5 wind speed data at 10 m and 100 m. Our findings reveal varying α value with time and geography, with particular disparities between land and ocean. Additionally, we observe changes related to diurnal cycles, seasons, and latitudes. This analysis of α value carries significant implications for a global-scale wind energy resource assessment, site selection, and turbine design. •Assess the spatiotemporal variation of the power law exponent (α) in global wind energy assessments.•The power law exponent α values vary with geography, seasons, diurnal cycles, latitudes, land and ocean.•The power law is generally applicable and has important implications for wind energy resource assessments and turbine design.
doi_str_mv 10.1016/j.apenergy.2023.122441
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153172504</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0306261923018056</els_id><sourcerecordid>3153172504</sourcerecordid><originalsourceid>FETCH-LOGICAL-c345t-614ebfb36ac62f861ea8066bb33a06fa570ce25625ca9a8bafac176e0a6504ad3</originalsourceid><addsrcrecordid>eNqFkMFOwzAMhiMEEmPwCqhHLi1x0qbdDTQBQ5rEAThHbupCpq4pSbext6dV4czJkv39tvwxdg08AQ7qdpNgRy35j2MiuJAJCJGmcMJmUOQiXgAUp2zGJVexULA4ZxchbDjnAgSfsdVrh711PW0757GJ9ujt2GgjV0edO5CPGjxE9N25lto-Ggb9J0W7QCNwsG0VTbcv2VmNTaCr3zpn748Pb8tVvH55el7er2Mj06yPFaRU1qVUaJSoCwWEBVeqLKVErmrMcm5IZEpkBhdYlFijgVwRR5XxFCs5ZzfT3s67rx2FXm9tMNQ02JLbBS0hk5CLAR5QNaHGuxA81brzdov-qIHrUZ3e6D91elSnJ3VD8G4K0vDI3pLXwVhqDVXWk-l15ex_K34AUz97rg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153172504</pqid></control><display><type>article</type><title>Spatiotemporal variation of power law exponent on the use of wind energy</title><source>Elsevier ScienceDirect Journals</source><creator>Yang, Xinrong ; Jiang, Xin ; Liang, Shijing ; Qin, Yingzuo ; Ye, Fan ; Ye, Bin ; Xu, Jiayu ; He, Xinyue ; Wu, Jie ; Dong, Tianyun ; Cai, Xitian ; Xu, Rongrong ; Zeng, Zhenzhong</creator><creatorcontrib>Yang, Xinrong ; Jiang, Xin ; Liang, Shijing ; Qin, Yingzuo ; Ye, Fan ; Ye, Bin ; Xu, Jiayu ; He, Xinyue ; Wu, Jie ; Dong, Tianyun ; Cai, Xitian ; Xu, Rongrong ; Zeng, Zhenzhong</creatorcontrib><description>The power law, a common method in wind energy assessments, often assumes a global power law exponent (α) of 1/7, potentially leading to inaccuracies in estimating wind conditions and energy potential. This study uses high-frequency measurements from eight wind towers to assess the power law's reliability and demonstrates its general applicability, except in complex topography. The α value is found to differ significantly from 1/7 in validation sites, yet it can be reliably used in ERA5 data based on regional verification. To evaluate the global spatiotemporal variation of α, we analyze the hourly α from 1980 to 2022 using ERA5 wind speed data at 10 m and 100 m. Our findings reveal varying α value with time and geography, with particular disparities between land and ocean. Additionally, we observe changes related to diurnal cycles, seasons, and latitudes. This analysis of α value carries significant implications for a global-scale wind energy resource assessment, site selection, and turbine design. •Assess the spatiotemporal variation of the power law exponent (α) in global wind energy assessments.•The power law exponent α values vary with geography, seasons, diurnal cycles, latitudes, land and ocean.•The power law is generally applicable and has important implications for wind energy resource assessments and turbine design.</description><identifier>ISSN: 0306-2619</identifier><identifier>EISSN: 1872-9118</identifier><identifier>DOI: 10.1016/j.apenergy.2023.122441</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>energy ; geography ; Multiple heights ; Power law exponent ; Spatiotemporal variation ; topography ; Wind energy ; wind power ; wind speed</subject><ispartof>Applied energy, 2024-02, Vol.356, p.122441, Article 122441</ispartof><rights>2023 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-614ebfb36ac62f861ea8066bb33a06fa570ce25625ca9a8bafac176e0a6504ad3</citedby><cites>FETCH-LOGICAL-c345t-614ebfb36ac62f861ea8066bb33a06fa570ce25625ca9a8bafac176e0a6504ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0306261923018056$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Yang, Xinrong</creatorcontrib><creatorcontrib>Jiang, Xin</creatorcontrib><creatorcontrib>Liang, Shijing</creatorcontrib><creatorcontrib>Qin, Yingzuo</creatorcontrib><creatorcontrib>Ye, Fan</creatorcontrib><creatorcontrib>Ye, Bin</creatorcontrib><creatorcontrib>Xu, Jiayu</creatorcontrib><creatorcontrib>He, Xinyue</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Dong, Tianyun</creatorcontrib><creatorcontrib>Cai, Xitian</creatorcontrib><creatorcontrib>Xu, Rongrong</creatorcontrib><creatorcontrib>Zeng, Zhenzhong</creatorcontrib><title>Spatiotemporal variation of power law exponent on the use of wind energy</title><title>Applied energy</title><description>The power law, a common method in wind energy assessments, often assumes a global power law exponent (α) of 1/7, potentially leading to inaccuracies in estimating wind conditions and energy potential. This study uses high-frequency measurements from eight wind towers to assess the power law's reliability and demonstrates its general applicability, except in complex topography. The α value is found to differ significantly from 1/7 in validation sites, yet it can be reliably used in ERA5 data based on regional verification. To evaluate the global spatiotemporal variation of α, we analyze the hourly α from 1980 to 2022 using ERA5 wind speed data at 10 m and 100 m. Our findings reveal varying α value with time and geography, with particular disparities between land and ocean. Additionally, we observe changes related to diurnal cycles, seasons, and latitudes. This analysis of α value carries significant implications for a global-scale wind energy resource assessment, site selection, and turbine design. •Assess the spatiotemporal variation of the power law exponent (α) in global wind energy assessments.•The power law exponent α values vary with geography, seasons, diurnal cycles, latitudes, land and ocean.•The power law is generally applicable and has important implications for wind energy resource assessments and turbine design.</description><subject>energy</subject><subject>geography</subject><subject>Multiple heights</subject><subject>Power law exponent</subject><subject>Spatiotemporal variation</subject><subject>topography</subject><subject>Wind energy</subject><subject>wind power</subject><subject>wind speed</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkMFOwzAMhiMEEmPwCqhHLi1x0qbdDTQBQ5rEAThHbupCpq4pSbext6dV4czJkv39tvwxdg08AQ7qdpNgRy35j2MiuJAJCJGmcMJmUOQiXgAUp2zGJVexULA4ZxchbDjnAgSfsdVrh711PW0757GJ9ujt2GgjV0edO5CPGjxE9N25lto-Ggb9J0W7QCNwsG0VTbcv2VmNTaCr3zpn748Pb8tVvH55el7er2Mj06yPFaRU1qVUaJSoCwWEBVeqLKVErmrMcm5IZEpkBhdYlFijgVwRR5XxFCs5ZzfT3s67rx2FXm9tMNQ02JLbBS0hk5CLAR5QNaHGuxA81brzdov-qIHrUZ3e6D91elSnJ3VD8G4K0vDI3pLXwVhqDVXWk-l15ex_K34AUz97rg</recordid><startdate>20240215</startdate><enddate>20240215</enddate><creator>Yang, Xinrong</creator><creator>Jiang, Xin</creator><creator>Liang, Shijing</creator><creator>Qin, Yingzuo</creator><creator>Ye, Fan</creator><creator>Ye, Bin</creator><creator>Xu, Jiayu</creator><creator>He, Xinyue</creator><creator>Wu, Jie</creator><creator>Dong, Tianyun</creator><creator>Cai, Xitian</creator><creator>Xu, Rongrong</creator><creator>Zeng, Zhenzhong</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240215</creationdate><title>Spatiotemporal variation of power law exponent on the use of wind energy</title><author>Yang, Xinrong ; Jiang, Xin ; Liang, Shijing ; Qin, Yingzuo ; Ye, Fan ; Ye, Bin ; Xu, Jiayu ; He, Xinyue ; Wu, Jie ; Dong, Tianyun ; Cai, Xitian ; Xu, Rongrong ; Zeng, Zhenzhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-614ebfb36ac62f861ea8066bb33a06fa570ce25625ca9a8bafac176e0a6504ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>energy</topic><topic>geography</topic><topic>Multiple heights</topic><topic>Power law exponent</topic><topic>Spatiotemporal variation</topic><topic>topography</topic><topic>Wind energy</topic><topic>wind power</topic><topic>wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Xinrong</creatorcontrib><creatorcontrib>Jiang, Xin</creatorcontrib><creatorcontrib>Liang, Shijing</creatorcontrib><creatorcontrib>Qin, Yingzuo</creatorcontrib><creatorcontrib>Ye, Fan</creatorcontrib><creatorcontrib>Ye, Bin</creatorcontrib><creatorcontrib>Xu, Jiayu</creatorcontrib><creatorcontrib>He, Xinyue</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Dong, Tianyun</creatorcontrib><creatorcontrib>Cai, Xitian</creatorcontrib><creatorcontrib>Xu, Rongrong</creatorcontrib><creatorcontrib>Zeng, Zhenzhong</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Xinrong</au><au>Jiang, Xin</au><au>Liang, Shijing</au><au>Qin, Yingzuo</au><au>Ye, Fan</au><au>Ye, Bin</au><au>Xu, Jiayu</au><au>He, Xinyue</au><au>Wu, Jie</au><au>Dong, Tianyun</au><au>Cai, Xitian</au><au>Xu, Rongrong</au><au>Zeng, Zhenzhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal variation of power law exponent on the use of wind energy</atitle><jtitle>Applied energy</jtitle><date>2024-02-15</date><risdate>2024</risdate><volume>356</volume><spage>122441</spage><pages>122441-</pages><artnum>122441</artnum><issn>0306-2619</issn><eissn>1872-9118</eissn><abstract>The power law, a common method in wind energy assessments, often assumes a global power law exponent (α) of 1/7, potentially leading to inaccuracies in estimating wind conditions and energy potential. This study uses high-frequency measurements from eight wind towers to assess the power law's reliability and demonstrates its general applicability, except in complex topography. The α value is found to differ significantly from 1/7 in validation sites, yet it can be reliably used in ERA5 data based on regional verification. To evaluate the global spatiotemporal variation of α, we analyze the hourly α from 1980 to 2022 using ERA5 wind speed data at 10 m and 100 m. Our findings reveal varying α value with time and geography, with particular disparities between land and ocean. Additionally, we observe changes related to diurnal cycles, seasons, and latitudes. This analysis of α value carries significant implications for a global-scale wind energy resource assessment, site selection, and turbine design. •Assess the spatiotemporal variation of the power law exponent (α) in global wind energy assessments.•The power law exponent α values vary with geography, seasons, diurnal cycles, latitudes, land and ocean.•The power law is generally applicable and has important implications for wind energy resource assessments and turbine design.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2023.122441</doi></addata></record>
fulltext fulltext
identifier ISSN: 0306-2619
ispartof Applied energy, 2024-02, Vol.356, p.122441, Article 122441
issn 0306-2619
1872-9118
language eng
recordid cdi_proquest_miscellaneous_3153172504
source Elsevier ScienceDirect Journals
subjects energy
geography
Multiple heights
Power law exponent
Spatiotemporal variation
topography
Wind energy
wind power
wind speed
title Spatiotemporal variation of power law exponent on the use of wind energy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T01%3A56%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20variation%20of%20power%20law%20exponent%20on%20the%20use%20of%20wind%20energy&rft.jtitle=Applied%20energy&rft.au=Yang,%20Xinrong&rft.date=2024-02-15&rft.volume=356&rft.spage=122441&rft.pages=122441-&rft.artnum=122441&rft.issn=0306-2619&rft.eissn=1872-9118&rft_id=info:doi/10.1016/j.apenergy.2023.122441&rft_dat=%3Cproquest_cross%3E3153172504%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3153172504&rft_id=info:pmid/&rft_els_id=S0306261923018056&rfr_iscdi=true