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首页> 外文会议>International Conference on Information Systems Design and Intelligence Applications >Modelling the Effects of Wind Farming on the Local Weather Using Weather Research and Forecasting (WRF) Model
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Modelling the Effects of Wind Farming on the Local Weather Using Weather Research and Forecasting (WRF) Model

机译：利用天气研究模型对风化养殖对当地天气影响的影响

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Exploitation of wind energy is rapidly growing around the world with large wind farms being set-up for the generation of electricity. It is reported in the literature that while converting the wind's kinetic energy into electrical energy, the wind turbines may modify the transfer of energy, momentum and moisture within the atmospheric layers in the surroundings of the farms. In this work, an attempt is made to study whether the wind farm situated at Roches Noires (operational since January 2016), in the north-east part of the island of Mauritius, creates such changes within a sufficiently large space around the farm. The Weather Research and Forecasting (WRF) numerical model is employed for this endeavour due to the unavailability of measured weather data in regions close to the farm. The WRF model results are first validated with recorded meteorological data from several meteorological stations around the island and then simulations are carried out for the years 2015, 2016 and 2017. Analysis of results for two selected locations (one upstream and one downstream) around the Roches Noires wind farm demonstrates a slight decrease both in wind speed and precipitation, one year after installation of the farm.
机译：风能的开发是在世界各地迅速增长的大型风电场是设置了对电力的产生。据文献报道，虽然风的动能转化为电能，风力涡轮机可以修改能量，动量和水分的大气层内的农场周围的转移。在这项工作中，试图以研究做出是否（自2016年1月运营）位于诺士Noires风电场，在毛里求斯岛的东北部分，创建农场附近一个足够大的空间内，这样的变化。当采用天气研究和预报（WRF）数值模型对于这种努力由于测量天气数据的在靠近场区域中的不可用性。 WRF模式结果首先与记录气象数据验证从环岛几个气象站，然后仿真的年到2015年，2016和结果两个选定的位置2017分析（一个上游和一个下游）围绕罗切斯进行Noires风电场风速和降水，安装农场一年后两者表明略有下降。

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