Castro Michael T, Pascasio Jethro Daniel A, Ocon Joey D
Laboratory of Electrochemical Engineering, Department of Chemical Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines.
Energy Engineering Program, National Graduate School of Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines.
Data Brief. 2022 Jul 24;44:108485. doi: 10.1016/j.dib.2022.108485. eCollection 2022 Oct.
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) [1]. 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) [2]. 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 LCOE 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" [3].
本数据文章包含菲律宾634个离网岛屿上混合可再生能源系统（HRES）的位置、能源消耗、可再生能源潜力、技术经济情况和盈利能力。所考虑的HRES由太阳能光伏、风力涡轮机、锂离子电池和柴油发电机组成。这些岛屿是从谷歌地图™、必应地图™以及梅施德和奥孔等人（2019年）[1]的研究中确定的。如果可以获取，这些岛屿的峰值负荷是从国家电力公司 - 小型电力公用事业集团（NPC - SPUG）获取的，否则根据岛屿人口进行估算。每小时分辨率的负荷曲线是使用贝托和布莱辛格（2018年）[2]报告的标准化曲线合成的。岛屿上现有的柴油发电机是根据NPC - SPUG的报告汇编的，而月平均全球水平辐照度和风速则取自菲律宾激光雷达2数据库。电气互联的岛屿被归为一个微电网，因此634个岛屿被分为616个微电网。HRES使用我们内部的能源系统建模工具——岛屿系统平准化度电成本算法（ISLA）进行了优化，该工具确定能源组件的规模以最小化净现值成本。数据集中包含每个微电网中优化后的HRES的组件规模和相应的技术经济指标。此外，还报告了微电网在五种不同电价下的净现值、内部收益率、投资回收期和补贴需求。这些数据对于致力于为离网社区提供可持续能源接入的研究人员、政策制定者和利益相关者来说非常有价值。对这些数据的全面分析可以在我们的文章《菲律宾634个离网岛屿上混合可再生能源系统微电网的技术经济和财务分析：对公共补贴和私人投资的政策影响》[3]中找到。
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