Data on the techno-economic and financial analyses of hybrid renewable energy systems in 634 Philippine off-grid islands

This data article contains the location, energy consumption, renewable energy potential, techno-economics, and profitability of hybrid renewable energy systems (HRES) in 634 Philippine off-grid islands. The HRES under consideration consists of solar photovoltaics, wind turbines, lithium-ion batteries, and diesel generators. The islands were identified from Google Maps™, Bing Maps™, and the study of Meschede and Ocon et al. (2019). The peak loads of these islands were acquired from National Power Corporation – Small Power Utilities Group (NPC-SPUG), if available, or estimated from the island population otherwise. Hourly-resolution load profiles were synthesized using the normalized profiles reported by Bertheau and Blechinger (2018). Existing diesel generators in the islands were compiled from reports by NPC-SPUG, while monthly average global horizontal irradiance and wind speeds were taken from the Phil-LIDAR 2 database. Islands that are electrically interconnected were lumped into one microgrid, so the 634 islands were grouped into 616 microgrids. The HRES were optimized using Island System LCOEmin Algorithm (ISLA), our in-house energy systems modeling tool, which sized the energy components to minimize the net present cost. The component sizes and corresponding techno-economic metrics of the optimized HRES in each microgrid are included in the dataset. In addition, the net present value, internal rate of return, payback period, and subsidy requirements of the microgrid are reported at five different electricity rates. This data is valuable for researchers, policymakers, and stakeholders who are working to provide sustainable energy access to off-grid communities. A comprehensive analysis of the data can be found in our article “Techno-economic and Financial Analyses of Hybrid Renewable Energy System Microgrids in 634 Philippine Off-grid Islands: Policy Implications on Public Subsidies and Private Investments” by Castro et al. (2022).

本数据文章收录了菲律宾634个离网岛屿的混合可再生能源系统（hybrid renewable energy systems, HRES）的区位、能耗、可再生能源潜力、技术经济性与盈利性数据。本次研究涉及的混合可再生能源系统包含太阳能光伏（solar photovoltaics）、风力涡轮机、锂离子蓄电池与柴油发电机组。研究涉及的岛屿均通过谷歌地图（Google Maps™）、必应地图（Bing Maps™）以及Meschede与Ocon等人2019年的研究成果筛选确定。上述岛屿的峰值负荷数据，若有存档则取自菲律宾国家电力公司-小型电力公用事业集团（National Power Corporation – Small Power Utilities Group, NPC-SPUG），若无存档则通过岛屿人口规模估算得到。本研究采用Bertheau与Blechinger 2018年发布的标准化负荷曲线，合成了逐小时分辨率的岛屿负荷曲线。岛屿现有柴油发电机组的信息均整理自NPC-SPUG的报告，而月均全球水平辐照度与风速数据则取自Phil-LIDAR 2数据库。研究中将电气互联的岛屿整合为单个微电网，因此原本的634个岛屿最终被划分为616个微电网。本研究采用自研能源系统建模工具——岛屿系统平准化度电成本最小化算法（Island System LCOEmin Algorithm, ISLA）对混合可再生能源系统进行优化，通过匹配各能源组件的装机容量以实现净现值成本最小化。本数据集收录了每个微电网中优化后的混合可再生能源系统的组件装机容量及其对应的技术经济指标。此外，数据集还报告了5种不同电价场景下各微电网的净现值、内部收益率、投资回收期以及补贴需求。本数据集可为致力于为离网社区提供可持续能源接入的研究人员、政策制定者与利益相关方提供重要参考。针对本数据集的全面分析可参见Castro等人2022年发表的论文《菲律宾634个离网岛屿混合可再生能源系统微电网的技术经济与财务分析：公共补贴与私人投资的政策启示》。