Stochastic analysis of wind stream and turbine power
Stochastic analysis of a high-frequency wind data tape has been performed. The tape includes wind speed and direction as well as wind-turbine-generated power. In an attempt to correlate wind speed with turbine power, data were sampled every 2 s from a United States Department of Energy demonstration...
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| Veröffentlicht in: | Solar energy 1985, Vol.35 (4), p.297-309 |
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| container_title | Solar energy |
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| creator | Lou, Jiann-Jong Corotis, Ross B. |
| description | Stochastic analysis of a high-frequency wind data tape has been performed. The tape includes wind speed and direction as well as wind-turbine-generated power. In an attempt to correlate wind speed with turbine power, data were sampled every 2 s from a United States Department of Energy demonstration 200 kW wind turbine installation. Wind speeds were recorded from three heights on a meteorological tower and from the wind-driven generator. Auto-correlation and spectral density functions were found for both the wind speed and the turbine power. Spatial and temporal averaging was performed, and time-lagged spatial cross-correlations, cross-spectral density functions and coherence functions were computed. A time-lagging technique was used to translate meteorological tower data to the turbine. Nonstationarity in the mean and standard deviation were intvestigated. These analyses form the bases for data collection procedures for initial site evaluation and for full-scale machine power predictions. |
| doi_str_mv | 10.1016/0038-092X(85)90138-0 |
| format | Article |
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The tape includes wind speed and direction as well as wind-turbine-generated power. In an attempt to correlate wind speed with turbine power, data were sampled every 2 s from a United States Department of Energy demonstration 200 kW wind turbine installation. Wind speeds were recorded from three heights on a meteorological tower and from the wind-driven generator. Auto-correlation and spectral density functions were found for both the wind speed and the turbine power. Spatial and temporal averaging was performed, and time-lagged spatial cross-correlations, cross-spectral density functions and coherence functions were computed. A time-lagging technique was used to translate meteorological tower data to the turbine. Nonstationarity in the mean and standard deviation were intvestigated. 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These analyses form the bases for data collection procedures for initial site evaluation and for full-scale machine power predictions.</description><subject>Applied sciences</subject><subject>data collection</subject><subject>Energy</subject><subject>Exact sciences and technology</subject><subject>internal combustion engines</subject><subject>Natural energy</subject><subject>solar energy</subject><subject>United States</subject><subject>wind</subject><subject>Wind energy</subject><subject>wind turbines</subject><issn>0038-092X</issn><issn>1471-1257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1985</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKv_wMMeRPSwOpOPTfYiSPELCh5U8BbSbIKR7W5Ntpb-e3dt6VFPwwzP-w48hJwiXCFgcQ3AVA4lfb9Q4rIEHLY9MkIuMUcq5D4Z7ZBDcpTSJwBKVHJE-EvX2g-TumAz05h6nULKWp-tQlNlqYvOzPt7lXXLOAuNyxbtysVjcuBNndzJdo7J2_3d6-Qxnz4_PE1up7llpehyZFDw2UzCrPAFCO8rWxRoiv4gOaNgJIJglgNAZZywyqvSYyFQUVpxMGxMzje9i9h-LV3q9Dwk6-raNK5dJk25AoqU_Qsip7KUrOxBvgFtbFOKzutFDHMT1xpBDy71IEoPorQS-telhj52tu03yZraR9PYkHZZxVEO_WNys8FcL-U7uKiTDa6xrgrR2U5Xbfj7zw-M0YYh</recordid><startdate>1985</startdate><enddate>1985</enddate><creator>Lou, Jiann-Jong</creator><creator>Corotis, Ross B.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TC</scope><scope>7U2</scope><scope>C1K</scope><scope>7SP</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>1985</creationdate><title>Stochastic analysis of wind stream and turbine power</title><author>Lou, Jiann-Jong ; Corotis, Ross B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-13064bb70b6f605ffdc661a670b74320a71053c4000dae5c8f89f1651822d40a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1985</creationdate><topic>Applied sciences</topic><topic>data collection</topic><topic>Energy</topic><topic>Exact sciences and technology</topic><topic>internal combustion engines</topic><topic>Natural energy</topic><topic>solar energy</topic><topic>United States</topic><topic>wind</topic><topic>Wind energy</topic><topic>wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lou, Jiann-Jong</creatorcontrib><creatorcontrib>Corotis, Ross B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Mechanical Engineering Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Solar energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lou, Jiann-Jong</au><au>Corotis, Ross B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic analysis of wind stream and turbine power</atitle><jtitle>Solar energy</jtitle><date>1985</date><risdate>1985</risdate><volume>35</volume><issue>4</issue><spage>297</spage><epage>309</epage><pages>297-309</pages><issn>0038-092X</issn><eissn>1471-1257</eissn><coden>SRENA4</coden><abstract>Stochastic analysis of a high-frequency wind data tape has been performed. 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| identifier | ISSN: 0038-092X |
| ispartof | Solar energy, 1985, Vol.35 (4), p.297-309 |
| issn | 0038-092X 1471-1257 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_24802123 |
| source | Access via ScienceDirect (Elsevier) |
| subjects | Applied sciences data collection Energy Exact sciences and technology internal combustion engines Natural energy solar energy United States wind Wind energy wind turbines |
| title | Stochastic analysis of wind stream and turbine power |
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