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Onshore wind generation time series for technology SP335 HH100 at resource grade C (PECD 2021 update)

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data.dtu.dk2023-07-17 更新2025-01-22 收录
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https://data.dtu.dk/articles/dataset/Onshore_wind_generation_time_series_for_technology_SP335_HH100_at_resource_grade_C_PECD_2021_update_/19689040/1
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This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 335 W/m2 turbines at hub height (HH) of 100 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文件)提供了特定功率(SP)为335 W/m2的陆上风电场在轮毂高度(HH)100米处的模拟每小时时间序列数据。分析的风电场位于每个区域50%最低平均风速的位置,即在资源等级(RG)C级。附图显示了相应的容量系数(年平均值)。Excel文件可大致指示该风技术在资源等级C级是否适用于不同区域。考虑的可利用土地为该区域所有陆上陆地面积,不包括湖泊、城市和极高海拔地区。未考虑该区域内现有陆上风电设施的任何可能影响。模型中考虑了尾流损失,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(GMT);变量(列)名称与地图上显示的区域名称相对应。数据还包括国家层面的汇总,例如,UK00代表所有英国地区的陆上风电发电量汇总(按区域装机容量加权)。这些数据是用于ENTSO-E的2021年更新的泛欧洲气候数据库(PECD)数据集的变量可再生能源发电时间序列的一部分。ENTSO-E已在2021年ERAA评估和2021-2022年冬季展望中使用这些数据,并在2022年TYNDP中使用。模拟由DTU Wind Energy执行,未来技术选择和数据验证已与ENTSO-E及其成员讨论并达成一致。相关链接的期刊论文(第一篇)描述了模拟方法(使用了ERA5和GWA数据的组合)。当使用数据时,要求引用该论文。相关链接的期刊论文(第二篇)描述了资源等级的概念及其在能源系统分析中的应用。此项目是更大系列的风能和太阳能数据的一部分:https://doi.org/10.11583/DTU.c.5939581。
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Technical University of Denmark
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