Fusion for modeling wake effects on wind turbines
Wind turbine wakes cause power reduction and structural loading. A data-driven approach is proposed for wake modeling to provide the azimuth, angular spread, and intensity of wakes. We introduce three wind speed difference definitions for wake analysis. The wake identification is automated using mor...
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| creator | Yanjun Yan Kamath, G. Osadciw, L.A. Benson, G. Legac, P. Johnson, P. White, E. |
| description | Wind turbine wakes cause power reduction and structural loading. A data-driven approach is proposed for wake modeling to provide the azimuth, angular spread, and intensity of wakes. We introduce three wind speed difference definitions for wake analysis. The wake identification is automated using morphological imaging operators. The wake pattern is complicated by multiple neighboring turbines. Four fusion schemes are proposed to draw a complete picture. A similarity based clustering enhances the final fusion result by treating clusters, each with specific features, equally. |
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A data-driven approach is proposed for wake modeling to provide the azimuth, angular spread, and intensity of wakes. We introduce three wind speed difference definitions for wake analysis. The wake identification is automated using morphological imaging operators. The wake pattern is complicated by multiple neighboring turbines. Four fusion schemes are proposed to draw a complete picture. A similarity based clustering enhances the final fusion result by treating clusters, each with specific features, equally.</description><subject>Automation</subject><subject>Azimuth</subject><subject>Fusion</subject><subject>Image processing</subject><subject>Potential energy</subject><subject>Renewable energy resources</subject><subject>Wake</subject><subject>Wind energy</subject><subject>Wind farms</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>Wind Turbine</subject><subject>Wind turbines</subject><isbn>9780982443804</isbn><isbn>0982443803</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjs1KxDAURgMiKGOfwE1eoHBvcpufpQyOCgNudD2k6b0SnWml6TD49hZ09S0O5_BdqSb6ADEYIhuAblRT6ycAYHQeA9wq3J1rmUYt06xP08DHMn7oS_pizSKcl6pXeCnjoJfz3JeR6526lnSs3PzvRr3vHt-2z-3-9ell-7BvC_puaZ1L3vTBMGcSQZ8hGiQitNDbOBhEiRTs-koceJQUc8ZVwQSCTozdqPu_bmHmw_dcTmn-OXQGbOjI_gKRJDxn</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Yanjun Yan</creator><creator>Kamath, G.</creator><creator>Osadciw, L.A.</creator><creator>Benson, G.</creator><creator>Legac, P.</creator><creator>Johnson, P.</creator><creator>White, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>Fusion for modeling wake effects on wind turbines</title><author>Yanjun Yan ; Kamath, G. ; Osadciw, L.A. ; Benson, G. ; Legac, P. ; Johnson, P. ; White, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-66a72b82eec4ff17c0921444130b39d211f9483380f6071fa9cc1a721a0f16f23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Automation</topic><topic>Azimuth</topic><topic>Fusion</topic><topic>Image processing</topic><topic>Potential energy</topic><topic>Renewable energy resources</topic><topic>Wake</topic><topic>Wind energy</topic><topic>Wind farms</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>Wind Turbine</topic><topic>Wind turbines</topic><toplevel>online_resources</toplevel><creatorcontrib>Yanjun Yan</creatorcontrib><creatorcontrib>Kamath, G.</creatorcontrib><creatorcontrib>Osadciw, L.A.</creatorcontrib><creatorcontrib>Benson, G.</creatorcontrib><creatorcontrib>Legac, P.</creatorcontrib><creatorcontrib>Johnson, P.</creatorcontrib><creatorcontrib>White, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yanjun Yan</au><au>Kamath, G.</au><au>Osadciw, L.A.</au><au>Benson, G.</au><au>Legac, P.</au><au>Johnson, P.</au><au>White, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fusion for modeling wake effects on wind turbines</atitle><btitle>2009 12th International Conference on Information Fusion</btitle><stitle>ICIF</stitle><date>2009-07</date><risdate>2009</risdate><spage>1489</spage><epage>1496</epage><pages>1489-1496</pages><isbn>9780982443804</isbn><isbn>0982443803</isbn><abstract>Wind turbine wakes cause power reduction and structural loading. A data-driven approach is proposed for wake modeling to provide the azimuth, angular spread, and intensity of wakes. We introduce three wind speed difference definitions for wake analysis. The wake identification is automated using morphological imaging operators. The wake pattern is complicated by multiple neighboring turbines. Four fusion schemes are proposed to draw a complete picture. A similarity based clustering enhances the final fusion result by treating clusters, each with specific features, equally.</abstract><pub>IEEE</pub><tpages>8</tpages></addata></record> |
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| ispartof | 2009 12th International Conference on Information Fusion, 2009, p.1489-1496 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automation Azimuth Fusion Image processing Potential energy Renewable energy resources Wake Wind energy Wind farms Wind power generation Wind speed Wind Turbine Wind turbines |
| title | Fusion for modeling wake effects on wind turbines |
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