Onshore wind generation time series for technology SP335 HH150 at resource grade A (PECD 2021 update)

This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 335 W/m2 turbines at hub height (HH) of 150 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（csv文件）提供了附件地图所示区域内，轮毂高度（HH）为150米、比功率（SP）为335瓦/平方米的风机的陆上风能发电量模拟小时级时间序列。所分析的风电场位于每个区域内最优的10%位置，即资源等级（RG）A级区域。地图展示了由此得出的容量因子（年平均值）。Excel文件大致说明了该风能技术是否适用于不同区域的该资源等级。可用土地考虑了区域内所有陆地区域，但不包括湖泊、城市及极高海拔区域。未考虑区域内现有陆上风能设施的潜在影响。模型包含尾流损失，并额外考虑了5%的其他损失及不可用性。时间戳采用格林尼治标准时间（GMT）；变量（列）名称与地图所示区域名称对应。数据还包含国家级聚合结果，例如UK00代表英国所有区域陆上风能发电量的聚合值（按区域装机容量加权）。本数据是2021年泛欧气候数据库（PECD）更新中为ENTSO-E创建的可变可再生能源发电量时间序列的一部分。ENTSO-E已将该数据用于2021年欧洲区域充足性评估（ERAA 2021）及2021-2022年冬季展望评估，并应用于2022年十年网络发展规划（TYNDP 2022）。模拟由丹麦技术大学风能研究所（DTU Wind Energy）开展，未来技术选择及数据验证已与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（采用ERA5与GWA数据的组合）。使用本数据时请引用该论文。相关链接的期刊论文（第二个链接）阐述了资源等级的概念及其在能源系统分析中的应用方法。本条目是风能与太阳能数据更大集合的一部分：https://doi.org/10.11583/DTU.c.5939581