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...
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Veröffentlicht in: | Applied energy 2024-02, Vol.356, p.122441, Article 122441 |
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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 |
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•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> |
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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 |
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