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Renewable energy systems based on micro-hydro and solar photovoltaic for rural areas: A case study in Yogyakarta, Indonesia
This paper presents renewable energy systems based on micro-hydro and solar photovoltaic for rural areas, with a case study in Yogyakarta, Indonesia. The Special Region of Yogyakarta, located on the island of Java, Indonesia, has a high potential for the development of renewable energy resources, es...
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Published in: | Energy reports 2021-11, Vol.7, p.472-490 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper presents renewable energy systems based on micro-hydro and solar photovoltaic for rural areas, with a case study in Yogyakarta, Indonesia. The Special Region of Yogyakarta, located on the island of Java, Indonesia, has a high potential for the development of renewable energy resources, especially hydropower and solar power. Many rural areas in Yogyakarta lack a supply of electricity. In this study, data on the potential for hydropower and solar power in rural regions of Yogyakarta are processed to determine the best capacity of hydroelectric and solar power plants. The extended particle swarm optimization (PSO) technique has been used to ensure optimal capacity optimization of this hybrid systems. The final result of this study is the most optimal of hydropower and solar power generation capacity based on the calculation of cost of capital, grid sales, cost of energy, and net present value.
•As a country in the tropics, Indonesia has a high potential for both solar and hydro energy.•One of the potential areas for solar and hydro energy is the province of Yogyakarta Special Region.•Utilization of solar and hydro energy can help meet the electrical energy needs of rural communities.•Determination of the optimal capacity of solar and micro-hydro hybrid power plants.•Determination of the optimal hybrid power generation capacity using Homer software and the PSO method. |
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ISSN: | 2352-4847 2352-4847 |
DOI: | 10.1016/j.egyr.2021.01.015 |