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Offshore wind generation time series for technology SP316 HH155 (PECD 2021 update)

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data.dtu.dk2023-07-12 更新2025-03-24 收录
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https://data.dtu.dk/articles/dataset/Offshore_wind_generation_time_series_for_technology_SP316_HH155_PECD_2021_update_/19690606/1
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资源简介:
This data (csv file) provides simulated hourly time series of offshore wind generation with specific power (SP) 316 W/m2 turbines at hub height (HH) of 155 m for the regions shown in the attached map. The analysed offshore wind power plants are sited at the best sites with max 100 km distance to shore, except for the far-offshore North Sea regions (the regions which do not have any connection to shore) where all locations are allowed. The map shows the resulting capacity factors (annual mean). The Excel file gives the average distance to shore for each individual region. 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 for the offshore wind power plants and the storm shutdown behaviour (the smoothest storm shutdown technology is assumed). 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文件)提供了模拟的海上风力发电小时时间序列,涉及特定功率(SP)为316 W/m²的风机,轮毂高度(HH)为155米,适用于附图中所示地区。所分析的离岸风电场均位于最佳地点,距离海岸线最远不超过100公里,除非是远离海岸的北海地区(即与海岸没有任何连接的地区),该地区所有位置均允许。地图显示了由此产生的容量系数(年平均值)。Excel文件提供了每个单独地区的平均距离海岸数据。该模型考虑了尾流损失,并额外考虑了5%的其他损失和不可用性。时间戳采用格林威治标准时间;变量(列)名称与地图中显示的地区名称相对应。数据还包括国家层面的汇总,例如,UK00_OFF表示所有英国地区的离岸风电发电量汇总(按区域装机容量加权)。这些数据是ENTSO-E在2021年更新的泛欧洲气候数据库(PECD)数据集的2021年更新中创建的可变可再生能源发电时间序列的一部分。ENTSO-E已在ERAA 2021和2021-2022年冬季展望评估中使用了这些数据,并且它们被用于TYNDP 2022。模拟由DTU Wind Energy执行,与ENTSO-E及其成员讨论并同意了未来技术选择和数据验证。所链接的期刊论文(第一个链接)描述了基于ERA5的模拟方法。当使用数据时,请引用该论文。所链接的相关期刊论文(第二个链接)描述了离岸风电场的尾流损失建模以及风暴关闭行为(假设使用最平滑的风暴关闭技术)。此项目是风能和太阳能数据集合的一部分:https://doi.org/10.11583/DTU.c.5939581。
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