Feasibility Analysis of a Renewable Autonomous Power Supply System at a Coastal Area in Indonesia
Abstract
The Indonesian government program in providing solutions for electrical energy distribution problems to get to remote or isolated areas is to optimize the potential of renewable energy in an area. The combination of conventional power plants (diesel generators) with renewable energy (photovoltaic and wind turbine) power plants is expected to solve the problem of electricity service in isolated areas in southern Tulungagung regency, namely residential area in Brumbun Beach. The existence of government assistance in the form of solar panels distributed to each family head still can not optimize the utilization of electrical energy for 24 hours in a day, this is because the generation of diesel generators and solar panels are done separately. This research focuses on the design and analysis of a renewable autonomous power supply system which consists of a centralized solar-powered diesel generator (solar panel – a wind turbine – diesel generator) systems using HOMER software. This software is in addition to being used to create designs, is also capable of performing the most optimal system design evaluation by sorting based on overall cost, basic electricity tariff, and carbon dioxide gas emissions. The research from the design of four power plant configurations shows that the use of 10 kW diesel generators, 8 kW solar panels, and 6 kW wind turbines is the best solution, from the combination of the three energy sources shows the net present cost (NPC) value of US $ 44,680, Cost of Energy (COE) of 0.268 kWh / $, CO2 emissions of 1,077 kg/year, and diesel generator use only 54 minutes a day.Keywords: Cost of Energy, Hybrid Power Generation, HOMER, Net Present Cost, Renewable EnergyJEL Classifications: C63, C88, Q42DOI: https://doi.org/10.32479/ijeep.9066Downloads
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Published
2020-03-17
How to Cite
Hidayat, M. N., Rahmat, A. N., & Ronilaya, F. (2020). Feasibility Analysis of a Renewable Autonomous Power Supply System at a Coastal Area in Indonesia. International Journal of Energy Economics and Policy, 10(3), 175–181. Retrieved from https://www.econjournals.com/index.php/ijeep/article/view/9066
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