Dataset for: A spatial multi-criteria methodology for site selection of utility-scale renewable energy projects considering multiple renewable resources: A case in Bohol, Philippines

These datasets support the findings of the study titled “A spatial multi-criteria methodology for site selection of utility-scale renewable energy projects considering multiple renewable resources: A case in Bohol, Philippines”. This study aims to present a resource screening strategy that is capable of supporting multiple RE resources. By extending the grid to the areas with relatively high resource density, this procedure tends to level the development opportunities of RE resources in terms of grid connectivity. Using multi-criteria analysis, it was used to find the best location for the development of “renewable energy pools” in Bohol, Philippines. There are five files in this repository. The data with the filename “POAs Supply Curve” contains the supply curves of all Project Opportunity Areas (POAs) with and without grid extension. The land-use factor, unit installed capacity and several economic parameters necessary to generate these curves are also placed in this file. The data with the filename “REP ranking” contains the overall ranking of REPs in two criteria weighting scenarios (level and case study) with and without grid extension. Results of ranking changes within and across classes of REPs is also placed here. The data with the filename “Sensitivity Analysis” holds the results of the sensitivity analysis we conducted to test the ability of selected evaluation criteria to differentiate and rank REPs. The data with the filename “REP Energy Gen” contains several energy generation scenarios within and across classes of ranked REPs. The data with the filename “Data” contains the sources and description of datasets used in this study.本数据集用于支撑题为《考虑多种可再生资源的公用事业级可再生能源项目场址遴选空间多准则方法——以菲律宾保和省为例》的研究成果。本研究旨在提出一种可支撑多种可再生能源(renewable energy, RE)的资源筛查策略，通过将电网延伸至资源密度相对较高的区域，该流程可在电网连通性维度均衡各类可再生能源的开发机遇。本研究借助多准则分析方法，为菲律宾保和省的"可再生能源集群"开发遴选最优场址。本数据集仓库中共包含5个数据文件：文件名为"POAs Supply Curve"的数据包含所有项目机遇区(Project Opportunity Areas, POAs)在有无电网延伸场景下的供应曲线，该文件同时收录了生成上述曲线所需的土地利用因子、单位装机容量及多项经济参数；文件名为"REP ranking"的数据收录了两种准则权重情景（均等权重情景与案例研究情景）下，有无电网延伸场景中各类可再生能源项目(Renewable Energy Projects, REPs)的综合排名，各类可再生能源项目内部及跨类别的排名变化结果同样存放于此文件中；文件名为"Sensitivity Analysis"的数据收录了本研究开展的敏感性分析结果，用于验证选定的评价准则对可再生能源项目的区分与排序能力；文件名为"REP Energy Gen"的数据收录了已排序可再生能源项目内部及跨类别的多种发电情景；文件名为"Data"的数据收录了本研究中所用数据集的来源与说明。