{"title":"拉贾斯坦邦Jaisalmer地区Mulana风电场2.1MW风力涡轮机的性能分析","authors":"R. Kumar, K. S. Rao","doi":"10.1109/CIPECH.2016.7918766","DOIUrl":null,"url":null,"abstract":"This paper analyses the performance of a 2.1 MW Suzlon S-88 wind turbine in a wind farm, located at Mulana, Jaisalmer district of Rajasthan. Wind farm consists of 49 turbines of 2.1 MW each with a total farm capacity of 102.9 MW. Various parameters such as machine availability, grid availability, system availability and energy production were obtained from available data of the wind turbine for one year during April 2015 to March 2016. Capacity factor is calculated from the data. The annual capacity factor of wind turbine is found to be 15.65% with the total energy production of 2886.41 MWh during April 2015 to March 2016. It is observed that grid availability is higher than machine availability during all the months of the year 2015–16.","PeriodicalId":247543,"journal":{"name":"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance analysis of a 2.1MW wind turbine in a wind farm at Mulana in Jaisalmer district of Rajasthan\",\"authors\":\"R. Kumar, K. S. Rao\",\"doi\":\"10.1109/CIPECH.2016.7918766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses the performance of a 2.1 MW Suzlon S-88 wind turbine in a wind farm, located at Mulana, Jaisalmer district of Rajasthan. Wind farm consists of 49 turbines of 2.1 MW each with a total farm capacity of 102.9 MW. Various parameters such as machine availability, grid availability, system availability and energy production were obtained from available data of the wind turbine for one year during April 2015 to March 2016. Capacity factor is calculated from the data. The annual capacity factor of wind turbine is found to be 15.65% with the total energy production of 2886.41 MWh during April 2015 to March 2016. It is observed that grid availability is higher than machine availability during all the months of the year 2015–16.\",\"PeriodicalId\":247543,\"journal\":{\"name\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2016.7918766\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2016.7918766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of a 2.1MW wind turbine in a wind farm at Mulana in Jaisalmer district of Rajasthan
This paper analyses the performance of a 2.1 MW Suzlon S-88 wind turbine in a wind farm, located at Mulana, Jaisalmer district of Rajasthan. Wind farm consists of 49 turbines of 2.1 MW each with a total farm capacity of 102.9 MW. Various parameters such as machine availability, grid availability, system availability and energy production were obtained from available data of the wind turbine for one year during April 2015 to March 2016. Capacity factor is calculated from the data. The annual capacity factor of wind turbine is found to be 15.65% with the total energy production of 2886.41 MWh during April 2015 to March 2016. It is observed that grid availability is higher than machine availability during all the months of the year 2015–16.
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