Onshore wind generation time series for technology SP199 HH100 at resource grade B (PECD 2021 update)

This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 199 W/m2 turbines at hub height (HH) of 100 m for the regions shown in the attached map. The analysed wind power plants are sited at the 10...50 % highest mean wind speed locations in each region, i.e., in resource grade (RG) B. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not.
The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered.
The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities).
The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members.
The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. 
This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581

本数据集（CSV文件）提供了陆地风电场在特定功率（SP）199 W/m2 的涡轮机在轮毂高度（HH）100米处的模拟每小时时间序列数据。分析的风电场位于各区域内平均风速最高的10%至50%的位置，即资源等级（RG）B级。附图展示了相应的容量系数（年平均值）。Excel文件可大致指示该风能技术是否适合于不同区域该资源等级。在考虑可用土地时，排除湖泊、城市和极高海拔地区，仅包括该区域的陆地。未考虑该区域内现有陆上风电设施可能产生的影响。模型中考虑了尾流损失，并额外考虑了5%的其他损失和不可用性。时间戳采用格林威治标准时间（GMT），变量（列）名称与地图上显示的区域名称相对应。数据还包括国家层面的汇总，例如，UK00代表所有英国地区陆地风电发电的汇总（按区域装机容量加权）。这些数据是ENTSO-E为2021年更新的泛欧洲气候数据库（PECD）数据集创建的可变可再生能源发电时间序列的一部分。ENTSO-E已使用这些数据在2021年ERAA评估和2021-2022年冬季展望评估中，且这些数据被用于2022年TYNDP中。模拟由DTU Wind Energy执行，未来技术选择和数据验证已与ENTSO-E及其成员讨论并达成一致。链接的期刊论文（第一个链接）描述了模拟方法（使用ERA5和GWA数据的组合）。当使用数据时，请引用该论文。链接的相关期刊论文（第二个链接）描述了资源等级的概念及其在能源系统分析中的应用。该数据项是风力发电和太阳能数据更大的集合的一部分：https://doi.org/10.11583/DTU.c.5939581