Existing offshore wind generation time series (PECD 2021 update)

This data (csv file) provides simulated hourly time series of existing offshore wind generation for the regions shown in the attached map. Only regions with existing (by the time of modeling) offshore wind power plants are simulated (otherwise the data are NaN). The map shows the resulting capacity factors (annual mean). 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_OFF is the aggregated offshore 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 ERA5-based simulation methodology. It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the modeling of wake losses and storm shutdown behaviour for the offshore wind power plants. 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）提供了附图所示区域现有海上风电发电量的逐小时模拟时序数据。仅对建模时已存在海上风电场的区域进行模拟（其余区域数据以NaN值填充）。附图展示了各区域的容量因子（年均值）模拟结果。模拟中已考虑尾流损耗，并额外计入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。数据集同时包含国家级聚合数据，例如UK00_OFF代表英国所有区域海上风电发电量的聚合值（按区域装机容量加权计算）。本数据集是泛欧洲气候数据库（Pan-European Climate Database, PECD）2021年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发电量时序数据的一部分。欧洲输电系统运营商联盟（ENTSO-E）已将该数据集应用于《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，并被纳入《2022年十年电网发展规划（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及其成员方研讨并达成一致。第一条关联的期刊论文阐述了基于ERA5的模拟方法学，使用本数据集时请引用该论文。第二条关联的相关期刊论文阐述了海上风电场尾流损耗与风暴停机行为的建模方法。本数据集隶属于一套更为庞大的风电与光伏数据集合，相关DOI标识为：https://doi.org/10.11583/DTU.c.5939581