Onshore wind generation time series for technology SP335 HH100 at resource grade C (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 100 m for the regions shown in the attached map. The analysed wind power plants are sited at the 50 % lowest mean wind speed locations in each region, i.e., in resource grade (RG) C. 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格式文件）为附图展示的区域提供了陆上风电出力的逐小时模拟时序数据，所用风机的单位功率（specific power, SP）为335 W/m²，轮毂高度（hub height, HH）为100米。本次分析的风电场选址于各区域内风速均值最低的50%区域，即资源等级（resource grade, RG）C类区域。附图展示了对应的容量因子（年均值）分布。配套Excel文件可初步判断该风电技术是否适配上述资源等级下的各区域。可用陆地区域范围涵盖各区域的全部陆上土地，不含湖泊、城市及海拔极高的区域。本数据集未考虑区域内已建陆上风电设施的潜在影响。模型已计入尾流损耗，同时额外考虑了5%的其他损耗与机组不可用率。数据时间戳采用格林尼治标准时间（GMT）；变量（列）名称与附图中的区域名称一一对应。数据集还包含国家级聚合数据，例如UK00代表英国所有区域陆上风电出力的聚合值（按区域装机容量加权计算）。本数据集为2021年《泛欧气候数据库（Pan-European Climate Database, PECD）》更新版中为欧洲输电系统运营商联盟（ENTSO-E）构建的可变可再生能源出力时序数据的一部分。ENTSO-E已将该数据应用于《ERAA 2021》与《2021-2022年冬季展望》评估报告，同时该数据也被用于TYNDP 2022。本模拟由丹麦技术大学风能研究所（DTU Wind Energy）完成，未来技术选型与数据验证工作已与ENTSO-E及其成员商讨并达成一致。附带的首篇期刊论文阐述了本次模拟的方法学（采用ERA5与GWA数据的组合方案），使用本数据集时请引用该论文。附带的第二篇相关期刊论文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。本数据集隶属于一套更庞大的风电与光伏数据集合，其DOI链接为：https://doi.org/10.11583/DTU.c.5939581