Local effects of wind turbines on near-surface wind speed in a desert steppe wind farm
This research describes and interprets spatial variation in near-surface wind speed around a large scale wind generation operation in a desert steppe environment of Inner Mongolia. Wind speeds were measured at five different heights and distances in front of and behind turbines and compared to that...
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Veröffentlicht in: | Journal of Earth System Science 2020-12, Vol.129 (1), p.139, Article 139 |
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creator | Zhou, Dandan Hu, Shengrong Dang, Xiaohong Li, Jinrong Hai, Chunxing Bao, Yuhai Zhu, Jing |
description | This research describes and interprets spatial variation in near-surface wind speed around a large scale wind generation operation in a desert steppe environment of Inner Mongolia. Wind speeds were measured at five different heights and distances in front of and behind turbines and compared to that measured simultaneously from reference points immediately outside of the wind farm. The results showed that wind turbines clearly influence the spatial distribution of near-surface wind speed. Relative to reference points, near-surface wind velocity profiles measured at various distances from wind turbines followed a logarithmic distribution. The correlation coefficients for all points were above 0.95 except for a coefficient of 0.8278 corresponding to wind speeds measured 20 m in front of turbines. The wind speed increment rate at 20, 100, and 300 m in front of and behind turbines demonstrated the varying influence of turbines at different points. The area 100 m behind the turbine experienced maximum wind speeds at all height levels observed in the measurement area. The overall wind speed at 300 m distance was relatively low and variation nearest to the turbine was the most complex. |
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Wind speeds were measured at five different heights and distances in front of and behind turbines and compared to that measured simultaneously from reference points immediately outside of the wind farm. The results showed that wind turbines clearly influence the spatial distribution of near-surface wind speed. Relative to reference points, near-surface wind velocity profiles measured at various distances from wind turbines followed a logarithmic distribution. The correlation coefficients for all points were above 0.95 except for a coefficient of 0.8278 corresponding to wind speeds measured 20 m in front of turbines. The wind speed increment rate at 20, 100, and 300 m in front of and behind turbines demonstrated the varying influence of turbines at different points. The area 100 m behind the turbine experienced maximum wind speeds at all height levels observed in the measurement area. The overall wind speed at 300 m distance was relatively low and variation nearest to the turbine was the most complex.</description><identifier>ISSN: 2347-4327</identifier><identifier>ISSN: 0253-4126</identifier><identifier>EISSN: 0973-774X</identifier><identifier>DOI: 10.1007/s12040-020-01404-1</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Climate change ; Coefficients ; Construction ; Correlation coefficient ; Correlation coefficients ; Desert environments ; Deserts ; Distribution ; Earth and Environmental Science ; Earth Sciences ; Energy ; Grasslands ; Humidity ; Maximum winds ; Research methodology ; Software ; Space Exploration and Astronautics ; Space Sciences (including Extraterrestrial Physics ; Spatial distribution ; Spatial variations ; Steppes ; Surface wind ; Turbine engines ; Turbines ; Vegetation ; Velocity ; Velocity distribution ; Velocity profiles ; Wind effects ; Wind farms ; Wind measurement ; Wind power ; Wind speed ; Wind turbines ; Wind velocities</subject><ispartof>Journal of Earth System Science, 2020-12, Vol.129 (1), p.139, Article 139</ispartof><rights>Indian Academy of Sciences 2020</rights><rights>Indian Academy of Sciences 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-610b55546135483a7a0933afc513d326a7d22a1f2ccf2473dead21a5eec523c03</citedby><cites>FETCH-LOGICAL-c319t-610b55546135483a7a0933afc513d326a7d22a1f2ccf2473dead21a5eec523c03</cites><orcidid>0000-0003-3430-2130</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12040-020-01404-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12040-020-01404-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Zhou, Dandan</creatorcontrib><creatorcontrib>Hu, Shengrong</creatorcontrib><creatorcontrib>Dang, Xiaohong</creatorcontrib><creatorcontrib>Li, Jinrong</creatorcontrib><creatorcontrib>Hai, Chunxing</creatorcontrib><creatorcontrib>Bao, Yuhai</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><title>Local effects of wind turbines on near-surface wind speed in a desert steppe wind farm</title><title>Journal of Earth System Science</title><addtitle>J Earth Syst Sci</addtitle><description>This research describes and interprets spatial variation in near-surface wind speed around a large scale wind generation operation in a desert steppe environment of Inner Mongolia. Wind speeds were measured at five different heights and distances in front of and behind turbines and compared to that measured simultaneously from reference points immediately outside of the wind farm. The results showed that wind turbines clearly influence the spatial distribution of near-surface wind speed. Relative to reference points, near-surface wind velocity profiles measured at various distances from wind turbines followed a logarithmic distribution. The correlation coefficients for all points were above 0.95 except for a coefficient of 0.8278 corresponding to wind speeds measured 20 m in front of turbines. The wind speed increment rate at 20, 100, and 300 m in front of and behind turbines demonstrated the varying influence of turbines at different points. The area 100 m behind the turbine experienced maximum wind speeds at all height levels observed in the measurement area. The overall wind speed at 300 m distance was relatively low and variation nearest to the turbine was the most complex.</description><subject>Climate change</subject><subject>Coefficients</subject><subject>Construction</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Desert environments</subject><subject>Deserts</subject><subject>Distribution</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Energy</subject><subject>Grasslands</subject><subject>Humidity</subject><subject>Maximum winds</subject><subject>Research methodology</subject><subject>Software</subject><subject>Space Exploration and Astronautics</subject><subject>Space Sciences (including Extraterrestrial Physics</subject><subject>Spatial distribution</subject><subject>Spatial variations</subject><subject>Steppes</subject><subject>Surface wind</subject><subject>Turbine engines</subject><subject>Turbines</subject><subject>Vegetation</subject><subject>Velocity</subject><subject>Velocity distribution</subject><subject>Velocity profiles</subject><subject>Wind effects</subject><subject>Wind farms</subject><subject>Wind measurement</subject><subject>Wind power</subject><subject>Wind speed</subject><subject>Wind turbines</subject><subject>Wind velocities</subject><issn>2347-4327</issn><issn>0253-4126</issn><issn>0973-774X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz9EkkzbNURa_YMGLireQTSbSZTetSYv4761W8OZhGJj3Y-Ah5FzwS8G5vipCcsUZl9MIxRUTB2TBjQamtXo9JAsJSjMFUh-Tk1K2nEPdaLMgL-vOux3FGNEPhXaRfrQp0GHMmzbhdEg0ocusjDk6j7NaesRA20QdDVgwD7QM2Pe_anR5f0qOotsVPPvdS_J8e_O0umfrx7uH1fWaeRBmYLXgm6qqVC2gUg047bgBcNFXAgLI2ukgpRNReh-l0hDQBSlchegrCZ7DklzMvX3u3kcsg912Y07TSyuNMI2pm6aeXHJ2-dyVkjHaPrd7lz-t4Pabn5352Ymf_eFnxRSCOVQmc3rD_Ff9T-oLTLNyIw</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Zhou, Dandan</creator><creator>Hu, Shengrong</creator><creator>Dang, Xiaohong</creator><creator>Li, Jinrong</creator><creator>Hai, Chunxing</creator><creator>Bao, Yuhai</creator><creator>Zhu, Jing</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-3430-2130</orcidid></search><sort><creationdate>20201201</creationdate><title>Local effects of wind turbines on near-surface wind speed in a desert steppe wind farm</title><author>Zhou, Dandan ; Hu, Shengrong ; Dang, Xiaohong ; Li, Jinrong ; Hai, Chunxing ; Bao, Yuhai ; Zhu, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-610b55546135483a7a0933afc513d326a7d22a1f2ccf2473dead21a5eec523c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Climate change</topic><topic>Coefficients</topic><topic>Construction</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Desert environments</topic><topic>Deserts</topic><topic>Distribution</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Energy</topic><topic>Grasslands</topic><topic>Humidity</topic><topic>Maximum winds</topic><topic>Research methodology</topic><topic>Software</topic><topic>Space Exploration and Astronautics</topic><topic>Space Sciences (including Extraterrestrial Physics</topic><topic>Spatial distribution</topic><topic>Spatial variations</topic><topic>Steppes</topic><topic>Surface wind</topic><topic>Turbine engines</topic><topic>Turbines</topic><topic>Vegetation</topic><topic>Velocity</topic><topic>Velocity distribution</topic><topic>Velocity profiles</topic><topic>Wind effects</topic><topic>Wind farms</topic><topic>Wind measurement</topic><topic>Wind power</topic><topic>Wind speed</topic><topic>Wind turbines</topic><topic>Wind velocities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Dandan</creatorcontrib><creatorcontrib>Hu, Shengrong</creatorcontrib><creatorcontrib>Dang, Xiaohong</creatorcontrib><creatorcontrib>Li, Jinrong</creatorcontrib><creatorcontrib>Hai, Chunxing</creatorcontrib><creatorcontrib>Bao, Yuhai</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Earth System Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Dandan</au><au>Hu, Shengrong</au><au>Dang, Xiaohong</au><au>Li, Jinrong</au><au>Hai, Chunxing</au><au>Bao, Yuhai</au><au>Zhu, Jing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Local effects of wind turbines on near-surface wind speed in a desert steppe wind farm</atitle><jtitle>Journal of Earth System Science</jtitle><stitle>J Earth Syst Sci</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>129</volume><issue>1</issue><spage>139</spage><pages>139-</pages><artnum>139</artnum><issn>2347-4327</issn><issn>0253-4126</issn><eissn>0973-774X</eissn><abstract>This research describes and interprets spatial variation in near-surface wind speed around a large scale wind generation operation in a desert steppe environment of Inner Mongolia. Wind speeds were measured at five different heights and distances in front of and behind turbines and compared to that measured simultaneously from reference points immediately outside of the wind farm. The results showed that wind turbines clearly influence the spatial distribution of near-surface wind speed. Relative to reference points, near-surface wind velocity profiles measured at various distances from wind turbines followed a logarithmic distribution. The correlation coefficients for all points were above 0.95 except for a coefficient of 0.8278 corresponding to wind speeds measured 20 m in front of turbines. The wind speed increment rate at 20, 100, and 300 m in front of and behind turbines demonstrated the varying influence of turbines at different points. The area 100 m behind the turbine experienced maximum wind speeds at all height levels observed in the measurement area. The overall wind speed at 300 m distance was relatively low and variation nearest to the turbine was the most complex.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12040-020-01404-1</doi><orcidid>https://orcid.org/0000-0003-3430-2130</orcidid></addata></record> |
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subjects | Climate change Coefficients Construction Correlation coefficient Correlation coefficients Desert environments Deserts Distribution Earth and Environmental Science Earth Sciences Energy Grasslands Humidity Maximum winds Research methodology Software Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Spatial distribution Spatial variations Steppes Surface wind Turbine engines Turbines Vegetation Velocity Velocity distribution Velocity profiles Wind effects Wind farms Wind measurement Wind power Wind speed Wind turbines Wind velocities |
title | Local effects of wind turbines on near-surface wind speed in a desert steppe wind farm |
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