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Wind Energy Prediction in Kosovo by WAsP11 software

机译:WASP11软件Kosovo的风能预测

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By increasing levels of wind power penetration in global electricity production, the relevance of wind power prediction is growing. More accurate forecasts reduce the required total amount of energy reserve capacity needed to ensure grid reliability and the risk of penalty for wind farm operators. This study analyzes the WAsP software WindSimulations, regarding its ability to perform accurate wind power predictions in complex terrain as in this case is. The study site features the combined presence of three complexities: topography, heterogeneous vegetation including forest, and interactions between wind turbine wakes, for all of them. Hence, it allows a comprehensive evaluation of the software. Various turbulence models, forest models, and wake models, as well as the effects of domain size and grid resolution were evaluated against wind and power observations for ten General Electric 3.6MW and General Electric 3.2MW. The country being analysed is in Kosovo, exactly Kitka, on the border with the neighbouring state.
机译:通过增加全球电力生产中的风力渗透水平,风力预测的相关性正在增长。更准确的预测可降低确保电网可靠性和风电场运营商处罚风险所需的能量储备能力所需的总量。本研究分析了WASP软件风浪调制,了解其在这种情况下在复杂地形中执行精确的风力预测的能力。该研究现场具有三种复杂性的组合存在:地形,异构植被,包括森林,以及风力涡轮机之间的相互作用。因此,它允许全面评估软件。针对10个通用电气3.6MW和通用电气3.2MW的风电和电气观察,评估了各种湍流模型,森林模型和唤醒模型以及域尺寸和网格分辨率的影响。在与邻国的边境的边界上,正在分析的国家在科索沃,正是Kitka。

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