{"title":"基于CFD模型的风力机轮毂高度风速预测","authors":"Li Li, Yimei Wang, Yongqian Liu","doi":"10.1109/ICMREE.2013.6893695","DOIUrl":null,"url":null,"abstract":"To meet the requirements of the wind power prediction of wind farms, the wind velocity at the wind turbines' hub height were predicted in this paper, taking an actual wind farm as the example. First, many steady CFD numerical calculations were conducted to simulate the air flow field above the wind farm. Standard k-εturbulence model was adopted in the calculation. Then, taking the mesoscale NWP parameters as input data, the wind velocities were predicted by the simulated flow fields during the period of the year 2010. Compared with the measured wind velocity, the yearly mean absolute error (MAE) of predicted wind velocity for each wind turbine is less than 2m/s, and as the MAE decreases, the number of wind velocity samples increases. It shows that wind velocity prediction by this CFD method is accurate. The research in this paper may provide support for the work of wind power forecasting.","PeriodicalId":6427,"journal":{"name":"2013 International Conference on Materials for Renewable Energy and Environment","volume":"1 1","pages":"411-414"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Wind velocity prediction at wind turbine hub height based on CFD model\",\"authors\":\"Li Li, Yimei Wang, Yongqian Liu\",\"doi\":\"10.1109/ICMREE.2013.6893695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To meet the requirements of the wind power prediction of wind farms, the wind velocity at the wind turbines' hub height were predicted in this paper, taking an actual wind farm as the example. First, many steady CFD numerical calculations were conducted to simulate the air flow field above the wind farm. Standard k-εturbulence model was adopted in the calculation. Then, taking the mesoscale NWP parameters as input data, the wind velocities were predicted by the simulated flow fields during the period of the year 2010. Compared with the measured wind velocity, the yearly mean absolute error (MAE) of predicted wind velocity for each wind turbine is less than 2m/s, and as the MAE decreases, the number of wind velocity samples increases. It shows that wind velocity prediction by this CFD method is accurate. The research in this paper may provide support for the work of wind power forecasting.\",\"PeriodicalId\":6427,\"journal\":{\"name\":\"2013 International Conference on Materials for Renewable Energy and Environment\",\"volume\":\"1 1\",\"pages\":\"411-414\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Materials for Renewable Energy and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMREE.2013.6893695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Materials for Renewable Energy and Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMREE.2013.6893695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wind velocity prediction at wind turbine hub height based on CFD model
To meet the requirements of the wind power prediction of wind farms, the wind velocity at the wind turbines' hub height were predicted in this paper, taking an actual wind farm as the example. First, many steady CFD numerical calculations were conducted to simulate the air flow field above the wind farm. Standard k-εturbulence model was adopted in the calculation. Then, taking the mesoscale NWP parameters as input data, the wind velocities were predicted by the simulated flow fields during the period of the year 2010. Compared with the measured wind velocity, the yearly mean absolute error (MAE) of predicted wind velocity for each wind turbine is less than 2m/s, and as the MAE decreases, the number of wind velocity samples increases. It shows that wind velocity prediction by this CFD method is accurate. The research in this paper may provide support for the work of wind power forecasting.