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Developing a wind and solar power data model for Europe with high spatial-temporal resolution

机译:为欧洲开发具有高时空分辨率的风能和太阳能数据模型

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This paper describes a wind and solar power production model for Europe based on the numerical weather prediction model COSMO-EU. The COSMO-EU model has hourly time resolution and a spatial resolution of 7 km × 7 km for Europe. The model is validated against power production information from the system operators in Denmark, Germany and Spain. Mean Average Error (MAE) (hourly error averaged for a year) relative to the wind installed capacity is in the range 4.9%-5.9% for wind power production and 2.4%-5.5% for PV (photovoltaic) power production. Root Mean Square Error is in the range 6.2%-7.6% and 4.5%-9.3% for wind and PV power production respectively. The results are compared with similar modelling based on wind and radiation data from the NCEP reanalysis model. This model has six hourly time resolution for wind resources and daily resolution for radiation data. Modelling of wind power production in Denmark, German and Spain has a MAE in the range 5.6%-8.5% and solar PV production 4.9%-6.4% for the NCEP reanalysis model.
机译:本文基于数值天气预报模型COSMO-EU描述了欧洲的风能和太阳能发电模型。 COSMO-EU模型的小时分辨率为小时,欧洲的空间分辨率为7 km×7 km。该模型已根据来自丹麦,德国和西班牙的系统运营商的发电信息进行了验证。相对于风电装机容量的平均平均误差(MAE)(一年平均每小时误差)在风力发电中为4.9 \%-5.9 \%,在光伏发电中为2.4 \%-5.5 \% 。风力和光伏发电的均方根误差分别在6.2 \%-7.6 \%和4.5 \%-9.3 \%范围内。将结果与基于NCEP重新分析模型的风和辐射数据的类似建模进行比较。该模型具有六个小时的风资源时间分辨率和每日的辐射数据分辨率。在NCEP再分析模型中,丹麦,德国和西班牙的风能发电模型的MAE范围为5.6 \%-8.5 \%,太阳能PV产量为4.9 \%-6.4 \%。

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