Dataset for the Paper: "Analyzing Europe's Biggest Offshore Wind Farms: a Data set With 40 Years of Hourly Wind Speeds and Electricity Production"
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https://figshare.com/articles/dataset/Dataset_for_the_Paper_Analyzing_Europe_s_Biggest_Offshore_Wind_Farms_a_Data_set_With_40_Years_of_Hourly_Wind_Speeds_and_Electricity_Production_/19139648/1
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The data in this repository consists of 4 files. This includes a readme file [readme.txt], a file summarizing the wind speed [All_Windspeed_Data.csv], a file for the resulting power outputs [All_Power_Data.csv],and a zip-file including detailed data for each wind farm [Data_Per_Wind_Farm.zip]. Each file can be downloaded seperatly or colectivly by clicking the "Download all"-Button.<br>The structure of this repository is as follows:<br>├── readme.txt (this file)<br>├── All_Power_Data.csv (Power time series of wind farms)<br>├── All_Windspeed_Data.csv (Windspeed time series of wind farms)<br>├── Data_Per_Wind_Farm (folder including csv-files for each wind farm) ├── Baie_de_Saint_Brieuc ├── Baltic_Eagle ├── Beatrice ├── Borkum_Riffgrund ├── Borssele_(Phase_1,2) ├── Borssele_(Phase_3,4) ├── Dieppe_et_Le_Treport ├── Dogger_Bank_(Phase_A,B) ├── East_Anglia_One ├── Gemini ├── Gode_Wind ├── Greater_Gabbard ├── Gwynt_y_Mor ├── Hautes_Falaises ├── Hohe_See ├── Hollandse_Kust_Noord ├── Hollandse_Kust_Zuid ├── Horns_Rev ├── Hornsea_(Project_1) ├── Hornsea_(Project_2) ├── Iles_dYeu_et_de_Noirmoutir ├── Kriegers_Flak ├── London_Array ├── Moray_Firth ├── Race_Bank ├── Seagreen ├── Seamade ├── Triton_Knoll ├── Walney<br><br><br><br>In the 29 files included in the zip-file [Data_Per_Wind_Farm.zip], we report detailed data for each wind farm. Therein, each column includs one variable while each row represents one point in time. Namely, the columns contain:- time- u-component of wind 100m above ground- v-component of wind 100m above ground- forecasted surface roughness (fsr)- scaled windspeed at hub heigts (heigt given in parentheses - multiple time series possible)- Wind direction in degrees- Power of wind turbines (type given in parentheses - multiple time series possible)- Turn_off (0: turbine turned off because of strong winds, 1: turbines active)- Power (resulting power output of wind farm over all turbine types).<br>Starting from January 1, 1980, 00:00 am UTC in the first row, the data set ranges up to December 31, 2019, 11:00 pm in the last of 350640 rows.<br>Similar to the detailed files per wind farm, each row in the two csv files [All_Power_Data.csv , All_Windspeed_Data.csv] reporting wind speed at hub height and total power represent one point in time for the same period.In the [All_Power_Data.csv] each row gives the sythetic resulting power outout in MW of one wind farm. I.e., the dataset includes 29 columns one for each wind farm. In the [All_Windspeed_Data.csv] each row gives the calculated windspeed im 100m above ground in m/s at the position of each wind farm. I.e., the dataset includes 29 columns one for each wind farm. <br>Data generated using Copernicus Climate Change Service information [1980-2019] and containing modified Copernicus Climate Change Service information [1980-2019].
本仓库内共包含4个文件,分别为说明文档[readme.txt]、风速汇总文件[All_Windspeed_Data.csv]、风电场发电出力结果文件[All_Power_Data.csv],以及包含各风电场详细数据的压缩包[Data_Per_Wind_Farm.zip]。用户可单独下载各文件,或点击"全部下载"按钮批量获取所有文件。
本仓库的目录结构如下:
├── readme.txt(本说明文件)
├── All_Power_Data.csv(风电场发电出力时间序列数据)
├── All_Windspeed_Data.csv(风电场风速时间序列数据)
├── Data_Per_Wind_Farm(包含各风电场CSV数据的文件夹)
├── Baie_de_Saint_Brieuc
├── Baltic_Eagle
├── Beatrice
├── Borkum_Riffgrund
├── Borssele_(Phase_1,2)
├── Borssele_(Phase_3,4)
├── Dieppe_et_Le_Treport
├── Dogger_Bank_(Phase_A,B)
├── East_Anglia_One
├── Gemini
├── Gode_Wind
├── Greater_Gabbard
├── Gwynt_y_Mor
├── Hautes_Falaises
├── Hohe_See
├── Hollandse_Kust_Noord
├── Hollandse_Kust_Zuid
├── Horns_Rev
├── Hornsea_(Project_1)
├── Hornsea_(Project_2)
├── Iles_dYeu_et_de_Noirmoutir
├── Kriegers_Flak
├── London_Array
├── Moray_Firth
├── Race_Bank
├── Seagreen
├── Seamade
├── Triton_Knoll
├── Walney
在压缩包[Data_Per_Wind_Farm.zip]包含的29个文件中,我们提供了各风电场的详细数据。其中,每一列代表一个变量,每一行代表一个时间节点。具体包含的变量如下:
- 时间戳
- 地面100米高度处的u分量风速
- 地面100米高度处的v分量风速
- 预测地表粗糙度(fsr)
- 轮毂高度处的缩放风速(括号内标注轮毂高度,可包含多组时间序列)
- 风向(单位:度)
- 风电机组发电出力(括号内标注机组类型,可包含多组时间序列)
- 停机状态(0:因大风停机;1:机组正常运行)
- 风电场总发电出力(所有类型机组的总出力)
本数据集的时间跨度从1980年1月1日00:00协调世界时(UTC)的第一行,至2019年12月31日23:00协调世界时(UTC)的最后一行,共包含350640行数据。
与各风电场的详细数据文件类似,[All_Power_Data.csv]和[All_Windspeed_Data.csv]中的每一行均代表上述同期内的一个时间节点,分别记录了轮毂高度处的风速以及风电场总出力。其中:
在[All_Power_Data.csv]中,每一行对应一个风电场的合成总发电出力(单位:兆瓦,MW),本数据集共包含29列,对应29个风电场。在[All_Windspeed_Data.csv]中,每一行对应各风电场位置处地面100米高度处的计算风速(单位:米/秒,m/s),本数据集共包含29列,对应29个风电场。
本数据集使用哥白尼气候变化服务局(Copernicus Climate Change Service)1980-2019年的公开信息生成,并包含经过修改的哥白尼气候变化服务局(Copernicus Climate Change Service)1980-2019年相关信息。
提供机构:
figshare
创建时间:
2022-02-24
搜集汇总
数据集介绍

以上内容由遇见数据集搜集并总结生成



