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Micro-siting wind resource assessment and near Shore wind farm analysis in Pakpanang district, Nakhon Si Thammarat province, Thailand

机译:泰国泰国南府泰国塔克省塔克省泰国北邦区的微选风资源评估及岸上风电场分析

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This paper presents the micro-siting wind resource assessment and near shore wind farm analysis in Pakpanang district, Nakhon Si Thammarat province, southern Thailand. One year of observed wind speed and wind direction data from a 120 m met tower installed near the shoreline are analyzed in order to investigate the monthly mean wind speeds and dominant wind directions at the site. The observed wind data is used to develop a 20 m resolution microscale map of the study area in order to analyze several configurations of near shore wind farms in the range of 10 to 90 MW. To this end, annual energy productions (AEP), wake effects, and theoretical capacity factors (TCF) are estimated using WAsP. Results show that the monthly mean wind speeds at 120 m above ground level are in the range of 3.3 to 5.3 m/s. The dominant wind at the site are from the NEE and SSW directions. In terms of the near shore wind farm analysis, the maximum net AEP is approximately 170 GWh/year (90 MW wind farm scenario), while the corresponding wind farm's wake loss is 3.65%, which corresponds to a 21.3% wind farm TCF.
机译:本文介绍了泰国南别泰泰国南邦泰国省帕潘康区的微选式风力资源评估和岸边风电场分析。从海岸线附近安装的120米的观测到一年的风速和风向数据来自安装在海岸线附近的塔楼,以调查现场的月平均风速和主导风向。观察到的风数据用于开发研究区域的20米分辨率的微观地图,以便分析近岸风电场的几个配置在10到90兆瓦的范围内。为此,使用WASP估算年度能量制作(AEP),唤醒效果和理论能力因子(TCF)。结果表明,每月平均风速在地上120米处的范围为3.3至5.3米/秒。网站上的主要风是来自NEE和SSW方向。就近岸风电场分析而言,最高净疗效约为170 GWH /年(90兆瓦风电场场景),而相应的风电场的唤醒损失为3.65%,这对应了21.3%的风电场TCF。

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