Onshore wind generation time series for technology SP277 HH100 at resource grade A (PECD 2021 update)

This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 277 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 best 10 % of locations in each region, i.e., in resource grade (RG) A. 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）提供了模拟的每小时陆地风能发电时序数据，该数据针对特定功率（SP）为277 W/m2的风机，在轮毂高度（HH）为100米的位置，针对附图中所示区域。所分析的风能发电厂均位于每个区域资源等级（RG）A中最佳的10%位置。地图展示了由此产生的容量系数（年平均值）。Excel文件可大致指示该风能技术是否适用于该资源等级下的不同区域。所考虑的可利用土地包括该区域的全部陆地面积，除湖泊、城市及极高海拔地区外。本数据集未考虑该区域现有陆地风能安装设施的任何潜在影响。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）名称与地图中所示的区域名称相对应。数据还包括国家层面的汇总，例如，UK00代表所有英国地区的陆地风能发电量汇总（按区域装机容量加权）。这些数据是作为ENTSO-E在2021年更新的欧洲气候数据库（PECD）数据集的变量可再生能源发电时序数据集的一部分而创建的。ENTSO-E已使用这些数据在2021年能源区域评估（ERAA）和2021-2022年冬季展望评估中使用，并在2022年的年度网络发展计划（TYNDP）中使用。模拟工作由丹麦技术大学风能技术中心（DTU Wind Energy）完成，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。关联的期刊论文（第1个链接）描述了模拟方法（使用ERA5和GWA数据的组合）。在使用数据时，请引用该论文。关联的期刊论文（第2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。本项数据是更大规模的风能和太阳能数据集的一部分：https://doi.org/10.11583/DTU.c.5939581。