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Onshore wind generation time series for technology SP199 HH200 at resource grade A (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/Onshore_wind_generation_time_series_for_technology_SP199_HH200_at_resource_grade_A_PECD_2021_update_/19630086/1
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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 best 10 % of locations in each region, i.e., in resource grade (RG) A. 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)提供了模拟的每小时时序数据,涉及陆上风力发电,具体功率为199 W/m2的风机,轮毂高度为200 m,适用于所附地图所示地区。所分析的风力发电厂均位于每个地区资源等级(RG)A中最佳的10%位置。地图展示了相应的容量系数(年平均值)。Excel文件为判断该风力技术在资源等级A的各地区是否适用提供了大致的参考。考虑的土地面积包括该地区的所有陆上区域,但不含湖泊、城市以及极高海拔地区。该地区现有陆上风力发电设施可能产生的任何影响未予以考虑。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。时间戳以GMT为基准;变量(列)名称与地图上所示的区域名称相对应。数据还包括国家层面的汇总,例如,UK00代表所有英国地区陆上风力发电的汇总(按区域装机容量加权)。这些数据是作为2021年更新的泛欧洲气候数据库(PECD)数据集的一部分,为ENTSO-E创建的可变可再生能源发电时间序列。ENTSO-E已将数据用于2021年的ERAA评估和2021-2022年冬季展望,且这些数据也被用于2022年的TYNDP。模拟由DTU Wind Energy进行,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。关联的期刊论文(第1个链接)描述了模拟方法(使用了ERA5和GWA数据的组合)。当使用数据时,请引用该论文。关联的相关期刊论文(第2个链接)描述了资源等级的概念及其在能源系统分析中的应用。该数据项是风力与太阳能数据更大集合的一部分:https://doi.org/10.11583/DTU.c.5939581。
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