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From reanalysis data to park optimization

机译:从重新分析数据到停放优化

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In this work, we use the commercial WindSim CFD software to generate realistic wind resource climatologies (i.e. maps) for seven operational wind farms across three continents. The wind resource maps are generated using only atmospheric data provided by a global reanalysis dataset and are then used to estimate the actual power production of each wind farm's existing turbine layout. Then, using a park optimization module along with a basic suite of construction constraints, we estimate the most productive microsites within the wind farms and compare the optimized energy production with the original energy production estimate. Results yielded from this experimentation emphasize that park optimization efforts can generally lead to annual energy production increases of 3 to 6% and higher in some cases. On the other hand, challenges associated with imposing accurate optimization constraints were found to be significant.
机译:在这项工作中,我们使用商业Windsim CFD软件在三大洲的七个运营风电场产生现实的风力资源气候(即地图)。 仅使用全球再分析数据集提供的大气数据生成风资源贴图,然后用于估计每个风电场现有的涡轮机布局的实际电力生产。 然后,使用公园优化模块以及基本施工约束的基本套件,我们估计了风电场内最有生产力的微量,并比较了原始能源生产估算的优化能源生产。 从该实验产生的结果强调,在某些情况下,公园优化努力通常可以导致年度能源产量增加3%至6%,更高。 另一方面,发现与强加准确的优化约束相关的挑战是显着的。

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