OSMOSE WP1 dataset
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<strong># OSMOSE WP1 DATASET</strong><br> This dataset has been compiled within the OSMOSE project, from the European Union’s Horizon 2020 research and innovation program, to support adequacy studies performed in Work-Package 1.<br> Original data originate from two main sources : Plan4Res EU project and ENTSOE Pan European Common Database. <strong>## Content</strong><br> The dataset contains 35 weather years (1982-2016) of data for 33 EU countries. <br> General data granularity is country level.<br> Some RES data are provided at the granularity of the 99-clusters of the e-Highway2050 project.<br> - non-thermosensitive load profile (1 profile per country). Profiles sum to 1. (Source: Plan4Res and OSMOSE)<br> - electric heating profiles (1 profile per country, 1 file per weather year). Profiles sum to 1 on average but not individually. (Source: Plan4Res and OSMOSE)<br> - electric vehicles profiles (1 profile per country, 1 file per weather year). Profiles sum to slightly more than 1, depending on the weather scenario used. The difference to 1 corresponds to the thermo-sensitive effect due to the heating and the air-conditioning necessary for the well-functioning of the motor and the comfort of the passengers in this weather scenario. Its varies from country to country. (Source : OSMOSE, JRC for daily profiles, CS3 for weather and annual vehicle usage profiles)<br> - onshore wind power-factor profiles (1 profile per country, 1 file per weather year and 1 profile per cluster, 1 file per weather year). (Source: PECD) <br> - offshore wind power-factor profiles (1 profile per country per weather year and 1 profile per cluster per weather year). (Source: PECD) <br> - solar pv power-factor profiles (1 profile per country, 1 file per weather year and 1 profile per cluster, 1 file per weather year). (Source: PECD) <br> - hydro data (installed capacities (Run-of-River - ror, reservoir, Pump Storage Plants - PSP), volumes of the reservoirs and PSP, annual energies (ror and reservoir), per country and per cluster. Source: (OSMOSE based on MAF2018 and MAF2019)<br> - hydro energies in GWh (ror - daily, reservoir - weekly, per country, 1 file per weather year). (Source: OSMOSE based on PECD)<br> Full details of data processing performed by OSMOSE WP1 can be found in appendix B of OSMOSE deliverable D1.3 (available at https://www.osmose-h2020.eu/resource-center). <strong>## AntaresSimulator studies</strong><br> The dataset also contains 2 study skeletons (country and cluster granulariry) and R scripts allowing to build studies to be run with AntaresSimulator (https://antares-simulator.org).<br> To run these studies, unzip the archives "OSMOSE_DATASET" (which actually contains the dataset) and "ANTARES_R" (which contains R scripts) and follow the instructions in "ANTARES_R/README.md". <strong>## Forecast data</strong><br> The dataset also comprises 10 weather years (1982-1991) of AntaresSimulator imput time-series corresponding to day-ahead forecast data for demand, solar and wind for 2030 and 2050.<br> These forecast data have been computed based on the installed capacities defined in OSMOSE CGA scenario.<br> Details of the computation process can be found in the report included in this distribution. <strong>## Licences</strong><br> Data is published under the terms of the "Creative Commons Attribution 4.0 International" licence (https://creativecommons.org/licenses/by/4.0)<br> R code is published under the terms of the "MIT" licence (https://opensource.org/licenses/MIT) <strong>## Acknowledgements</strong><br> The OSMOSE project(https://www.osmose-h2020.eu) received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773406.<br> Plan4Res EU project (https://zenodo.org/record/3802550)<br> C3S (https://cds.climate.copernicus.eu)<br> ENTSOE Pan European Common Database (https://zenodo.org/record/3702418 and https://zenodo.org/record/3985078) and MAF (https://www.entsoe.eu/outlooks/midterm/previous-maf-versions)<br> e-Highway2050 project (https://cordis.europa.eu/project/id/308908/reporting)<br>
<strong># OSMOSE 工作包1数据集</strong><br> 本数据集由欧盟“地平线2020”研究与创新计划资助的OSMOSE项目编制，用于支撑工作包1（WP1）开展的电力系统充足性研究。<br>原始数据主要源自两个核心渠道：Plan4Res欧盟项目与欧洲输电系统运营商联盟（ENTSOE）泛欧公共数据库。<br><strong>## 数据集内容</strong><br> 本数据集涵盖1982年至2016年共35个气象年的、面向33个欧盟成员国的各类数据。<br>通用数据粒度为国家层面；部分可再生能源（Renewable Energy Sources，简称RES）数据则采用e-Highway2050项目的99个集群粒度。<br>- 非热敏感负荷曲线（每个国家1条曲线）。所有曲线的总和恒为1。（数据来源：Plan4Res与OSMOSE）<br>- 电采暖负荷曲线（每个国家1条曲线，每个气象年对应1个文件）。单条曲线的总和不一定为1，但所有曲线的平均总和为1。（数据来源：Plan4Res与OSMOSE）<br>- 电动汽车负荷曲线（每个国家1条曲线，每个气象年对应1个文件）。曲线总和略大于1，具体数值取决于所采用的气象情景。与1的差值对应该情景下，为保障电机正常运行与乘客乘坐舒适度所需的采暖与空调带来的热敏感负荷效应，该效应因国家而异。（数据来源：OSMOSE；日负荷曲线由欧盟联合研究中心（Joint Research Centre，简称JRC）提供，气象与年度车辆使用相关曲线由CS3提供）<br>- 陆上风电功率因数曲线（每个国家1条曲线，每个气象年对应1个文件；每个集群1条曲线，每个气象年对应1个文件）。（数据来源：泛欧公共数据库（Pan European Common Database，简称PECD））<br>- 海上风电功率因数曲线（每个国家每个气象年对应1条曲线，每个集群每个气象年对应1条曲线）。（数据来源：PECD）<br>- 太阳能光伏（Photovoltaic，简称PV）功率因数曲线（每个国家1条曲线，每个气象年对应1个文件；每个集群1条曲线，每个气象年对应1个文件）。（数据来源：PECD）<br>- 水电数据（含径流式水电站（Run-of-River，简称ror）、蓄水式水电站、抽水蓄能电站（Pump Storage Plants，简称PSP）的装机容量，水库与抽水蓄能电站的库容，以及分国家、分集群的年度发电量（径流式与蓄水式水电站）。数据来源：OSMOSE（基于MAF2018与MAF2019））<br>- 水电发电量数据（单位：吉瓦时（GWh），径流式水电站为日度统计，蓄水式水电站为周度统计，分国家统计，每个气象年对应1个文件）。（数据来源：OSMOSE，基于PECD）<br><br>OSMOSE工作包1所开展的数据处理的完整细节，可参阅OSMOSE交付成果D1.3的附录B（可从https://www.osmose-h2020.eu/resource-center获取）。<br><strong>## Antares模拟器（AntaresSimulator）研究</strong><br> 本数据集还包含2个研究骨架（分别支持国家粒度与集群粒度的研究），以及可用于构建可在AntaresSimulator（https://antares-simulator.org）中运行的研究的R脚本。<br>如需运行这些研究，请先解压“OSMOSE_DATASET”压缩包（内含本数据集）与“ANTARES_R”压缩包（内含R脚本），并按照“ANTARES_R/README.md”中的说明进行操作。<br><strong>## 预报数据</strong><br> 本数据集还包含1982年至1991年共10个气象年的AntaresSimulator输入时间序列，对应2030年与2050年的负荷、太阳能与风电的日前预报数据。<br>这些预报数据基于OSMOSE CGA情景中定义的装机容量计算得到。<br>计算过程的详细信息可参阅本分发包中包含的报告。<br><strong>## 许可协议</strong><br> 本数据集所包含的数据采用“知识共享署名4.0国际版（Creative Commons Attribution 4.0 International）”许可协议发布（https://creativecommons.org/licenses/by/4.0）。<br>R代码采用“MIT”许可协议发布（https://opensource.org/licenses/MIT）。<br><strong>## 致谢</strong><br> OSMOSE项目（https://www.osmose-h2020.eu）获欧盟“地平线2020”研究与创新计划资助，资助协议编号为773406。<br>此外感谢以下项目与机构的支持：Plan4Res欧盟项目（https://zenodo.org/record/3802550）、C3S（https://cds.climate.copernicus.eu）、ENTSOE泛欧公共数据库（https://zenodo.org/record/3702418与https://zenodo.org/record/3985078）、MAF（https://www.entsoe.eu/outlooks/midterm/previous-maf-versions）以及e-Highway2050项目（https://cordis.europa.eu/project/id/308908/reporting）。
