five

Solar PV generation time series (PECD 2021 update)

收藏
DataCite Commons2022-05-09 更新2025-04-10 收录
下载链接:
https://data.dtu.dk/articles/dataset/Solar_PV_generation_time_series_PECD_2021_update_/19727239
下载链接
链接失效反馈
官方服务:
资源简介:
This data (csv file) provides simulated hourly time series of solar PV generation for the regions shown in the attached map. The best 50 % of locations (in terms of mean irradiance) within each region are simulated, with south-facing installations and tilt angles approximately representing existing installations. A generic PV module and inverter are assumed. The meteorological data are from ERA5-Land and pvlib is used for the transformation to power generation (see references below). The map shows the resulting capacity factors (annual mean). 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 solar PV 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. 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,提供了附图所示各区域的光伏(PV,PhotoVoltaic)模拟逐小时发电时序数据。各区域内按平均辐照度排名前50%的点位被纳入模拟范围,光伏装置均朝向正南,倾角参数近似匹配现有实际部署的光伏系统。模拟采用通用型光伏组件与逆变器,气象数据源取自ERA5-Land数据集,发电功率转换过程依托pvlib工具完成(详见下文参考文献)。附图展示了各区域的容量因子(年度平均值)计算结果。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代表英国所有区域的光伏总发电量(按区域装机容量加权计算)。本数据集是欧洲输电系统运营商联盟(ENTSO-E)在2021年更新版泛欧气候数据库(Pan-European Climate Database,PECD)中构建的可变可再生能源发电时序数据集的组成部分。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年十年网络发展规划(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及其成员单位共同研讨并达成一致。本数据集隶属于一套更庞大的风电与光伏数据合集,相关数据集的DOI标识为:https://doi.org/10.11583/DTU.c.5939581
提供机构:
Technical University of Denmark
创建时间:
2022-05-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作