Optimal Planning of Hybrid Renewable Energy System Using HOMER in Sebesi Island, Indonesia

This paper demonstrates the optimal design and techno-economic-environmental assessment of a hybrid renewable energy system (HRES) for electrification on Sebesi Island, South Lampung Regency, Indonesia. The renewable energy sources studied in this paper are solar photovoltaic (PV), wind turbines (WT), biogas generators (GBi), and energy storage or batteries (BAT). In planning, energy sources from PV contribute about 50% of the total daily load. This study aims to make the planned HRES feasible from a technological, economic, and environmental perspective. This study uses Homer Algorithm in generating the assessment parameters from the three perspectives. Researchers investigated and compared the results of six different scenarios with diesel generators (DG). The results show that the first scenario (PV-GBi-BAT) is the most excellent from an economic perspective. While the second scenario (PV-WT-GBi-BAT) is the most excellent when viewed from a technology perspective and an environmental perspective. These results indicate that the second scenario has a more dominant advantage when compared to the first scenario. Therefore, the second scenario is the most optimal.