Onshore wind generation time series for technology SP199 HH150 at resource grade C (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 150 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）提供了附随地图所示区域的陆上风电出力模拟逐时时间序列，所用涡轮机的比功率（Specific Power, SP）为199 W/m²，轮毂高度（Hub Height, HH）为150米。本次分析的风电场选址于各区域内平均风速最低的50%区域，即资源等级（Resource Grade, RG）C级区域。该地图展示了由此得到的容量因子（年平均值）。配套的Excel文件可粗略指示该风电技术是否适配上述资源等级下的各区域。可用土地范围涵盖区域内所有陆上国土面积，扣除湖泊、城市及高海拔区域。本数据集未考虑区域内已投运陆上风电装机的潜在影响。已对尾流损耗进行建模，并计入额外5%的其他损耗与机组不可用率。时间戳采用格林尼治标准时间（GMT）；数据变量（即列名）与地图所示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代表英国所有区域的陆上风电总出力（按区域装机容量加权计算）。本数据集为2021年版《泛欧洲气候数据库（Pan-European Climate Database, PECD）》更新中为欧洲输电系统运营商协会（European Network of Transmission System Operators for Electricity, ENTSO-E）构建的可变可再生能源出力时间序列的一部分。欧洲输电系统运营商协会已将该数据集用于2021年欧洲可再生能源评估报告（ERAA 2021）与《2021-2022年冬季展望》评估工作，同时该数据集也被应用于2022年输电网络发展计划（TYNDP 2022）中。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欧洲输电系统运营商协会及其成员单位协商并达成一致。附带的首篇期刊论文阐述了本次模拟的方法（采用ERA5再分析数据与全球风能图集（Global Wind Atlas, GWA）数据相结合的方式）。使用本数据集时，请引用该期刊论文。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为庞大的风电与太阳能发电数据集合，相关DOI链接为：https://doi.org/10.11583/DTU.c.5939581