Historic data of wind turbine installations in the whole of Denmark from the Danish Energy Agency (Energistyrelsen)

This data set is a collection of historic data of wind turbine installations in the whole of Denmark from the Danish Energy Agency (Energistyrelsen). The data was used in a power system flexibility study by Karen Olsen in 2018-19 leading to a paper that is to appear in the proceedings of the ICAE19 conference and is entitled: "Data-driven flexibility requirements for current and future scenarios with high penetration of renewables". A journal paper has also been submitted using the same data.The data has been extracted from the website of Energistyrelsen at the following link where historic data is publicly available (called "Stamdataregister"):http://ens.dk/service/statistik-data-noegletal-og-kort/data-oversigt-over-energisektoren The present version was extracted in September 2019 and contains installation and production data until and including June 2019. The data is in the originally downloaded excel file, ready to be parsed by the python code written by Karen Olsen (see reference to Fanfare code).Data used for analysis:- turbine ID number (column: "Turbine identifier (GSRN)" in the excel spreadsheet)- date of installation (column: "Date of original connection to grid" in the excel spreadsheet)- turbine capacity (column: "Capacity (kW)" in the excel spreadsheet)- turbine location commune (column: "Local authority no" in the excel spreadsheet)- turbine placing sea/land (column: "Type of location" in the excel spreadsheet)- yearly production (columns starting at: "Historic production figures (kWh):" in the excel spreadsheet)Further information and code for analysis can be found under:https://kpolsen.github.io/FANFARE/

本数据集汇聚了丹麦能源局（Energistyrelsen）所提供的丹麦全国范围内的风力涡轮机安装历史数据。该数据集被用于Karen Olsen于2018-2019年间进行的电力系统灵活性研究，研究成果即将发表于ICAE19会议的论文集中，论文题目为：《可再生能源渗透率高的当前及未来场景下的数据驱动灵活性需求》。此外，基于相同数据集的期刊论文亦已提交。数据来源于丹麦能源局官网（http://ens.dk/service/statistik-data-noegletal-og-kort/data-oversigt-over-energisektoren），该网站上的“Stamdataregister”部分对外公开历史数据。当前版本于2019年9月提取，包含了直至2019年6月的数据，包括安装和产出信息。数据存储于原始下载的Excel文件中，可直接被Karen Olsen编写的Python代码解析（参见Fanfare代码的引用）。分析所使用的数据包括：- 涡轮机ID编号（Excel表格中的“Turbine identifier (GSRN)”列）- 安装日期（Excel表格中的“Date of original connection to grid”列）- 涡轮机容量（Excel表格中的“Capacity (kW)”列）- 涡轮机所在行政区域（Excel表格中的“Local authority no”列）- 涡轮机放置地点（海洋/陆地）（Excel表格中的“Type of location”列）- 年度产出（Excel表格中“Historic production figures (kWh):”起始列）- 更多信息和分析代码可在以下链接找到：https://kpolsen.github.io/FANFARE/