Xiaoyu Tang, B. Stoevesandt, Bo Fan, Siliang Li, Qinmin Yang, T. Tayjasanant, Youxian Sun
{"title":"An on-site measurement coupled CFD based approach for wind resource assessment over complex terrains","authors":"Xiaoyu Tang, B. Stoevesandt, Bo Fan, Siliang Li, Qinmin Yang, T. Tayjasanant, Youxian Sun","doi":"10.1109/I2MTC.2018.8409651","DOIUrl":null,"url":null,"abstract":"Wind resource assessment, especially for regions with complex terrain, is one of the most essential topics for wind energy development. In this paper, a novel method based on on-site measurement coupled to computational fluid dynamics (CFD) simulations is proposed to reproduce the spatial variability of wind speed distribution over the region with complex terrain. The on-site measurement data of wind speeds are adopted in the data fusion for wind speed distribution estimation and reproduction, combined with the simulation results of CFD. Next, a case study on wind resource assessment for a wind farm in complex terrain, located in Hebei Province, China was done. One year wind measurements with anemometers on three different sites were performed adopting the proposed approach. A cross-validation of the results of the proposed method against on-site wind speed measurement data indicates a good agreement. The results show that the approach proposed have reproduced a wind resource map with high resolution and the wind speed estimations for one spot within the wind farm are with a root-mean-square error of 0.399 m/s, which is qualified for wind farm planning in complex terrain.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2018.8409651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Wind resource assessment, especially for regions with complex terrain, is one of the most essential topics for wind energy development. In this paper, a novel method based on on-site measurement coupled to computational fluid dynamics (CFD) simulations is proposed to reproduce the spatial variability of wind speed distribution over the region with complex terrain. The on-site measurement data of wind speeds are adopted in the data fusion for wind speed distribution estimation and reproduction, combined with the simulation results of CFD. Next, a case study on wind resource assessment for a wind farm in complex terrain, located in Hebei Province, China was done. One year wind measurements with anemometers on three different sites were performed adopting the proposed approach. A cross-validation of the results of the proposed method against on-site wind speed measurement data indicates a good agreement. The results show that the approach proposed have reproduced a wind resource map with high resolution and the wind speed estimations for one spot within the wind farm are with a root-mean-square error of 0.399 m/s, which is qualified for wind farm planning in complex terrain.