The power production of the Lillgrund wind farm has been investigated by means of SCADA data covering almost 10 years of operation, wake models and numerical simulation tools, such as WindSim, OpenFOAM and ORFEUS. The analysis of the SCADA data provided the quantification of wake losses and of blockage effects, results that enable a benchmark to assess the uncertainty of other numerical methods of industrial use. The results have been analysed in terms of global array efficiency for different wind directions, wind velocity and stratification conditions. A comparison of the present results with the Jensen and Ainsle models indicated that the two used wake models are affected by an error of about 8–10% in the estimation of the array efficiency, while the error does not vary significantly when using numerical tools such as ORFEUS, WindSim and OpenFOAM. By comparing wind statistics available before the park construction, an assessment of the blockage of the Lillgrund farm was performed with contrasting results from the other numerical tools, highlighting how challenging is to assess farm blockage with current industrial settings.

中文翻译：

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Lillgrund风电场的数据分析和模拟

Lillgrund风电场的发电量已经通过涵盖近10年运行的SCADA数据，唤醒模型和数值模拟工具（例如WindSim，OpenFOAM和ORFEUS）进行了调查。对SCADA数据的分析提供了唤醒损耗和阻塞效应的量化，其结果使基准能够评估其他工业使用数值方法的不确定性。根据不同风向，风速和分层条件下的整体阵列效率对结果进行了分析。将本结果与Jensen和Ainsle模型进行的比较表明，两个使用的唤醒模型在估计阵列效率时受到大约8–10％的误差的影响，而使用数字工具（例如，作为ORFEUS，WindSim和OpenFOAM。通过比较公园建设之前可用的风力统计数据，对Lillgrund农场的堵塞情况进行了评估，并与其他数值工具的结果进行了对比，突显了在当前的工业环境下评估农场堵塞情况的挑战性。