Onshore wind generation time series for technology SP199 HH200 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 200 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

本数据集为CSV格式文件，提供了附件地图所示区域内陆上风电出力的逐小时模拟时序数据，所用涡轮机的单位面积额定功率（specific power, SP）为199 W/m²，轮毂高度（hub height, HH）达200米。本次分析的风电场均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。地图展示了该场景下的容量因子年均值。Excel文件可用于粗略判断该风电技术是否适配上述资源等级下的不同区域。本数据集划定的可用土地为各区域内除湖泊、城市及高海拔区域之外的全部陆上土地面积，未考虑区域内已投运陆上风电装机的潜在影响。模拟过程计入尾流损耗，并额外考虑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），各变量（列）名称对应地图中所示的区域名称。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）。本数据集为欧洲输电系统运营商联盟（ENTSO-E）2021年更新版《泛欧洲气候数据库（Pan-European Climate Database, PECD）》中生成的可变可再生能源出力时序数据集的一部分。ENTSO-E已将该数据应用于ERAA 2021（欧洲可再生能源评估报告）与2021-2022年冬季展望报告的评估工作，并用于TYNDP 2022（十年网络发展规划）。本模拟由丹麦技术大学风电能源研究所（DTU Wind Energy）完成，未来技术选型与数据验证工作已与ENTSO-E及其成员研讨并达成一致。相关期刊论文（第一条链接）阐述了本次模拟的方法学（采用ERA5与全球风能图集（Global Wind Atlas, GWA）数据的组合方案），使用本数据集时请引用该论文。另一篇相关期刊论文（第二条链接）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。本数据集隶属于一套涵盖风电与光伏的更庞大数据集合，相关DOI链接为：https://doi.org/10.11583/DTU.c.5939581