Abstract
Fluctuation in fish catch due to seasonal factors causes instability in fish prices, decreasing the quality of fish and fishermen's incomes because there is no cold storage in some area for storing fish. Applying ownership of cold storage is divided into two models, namely commercial-based and community-based with different financial instruments. Fishery cold storage is an energy-intensive industry and Indonesia is a tropical country with abundant potential for solar irradiation. However, due to limited regulations, the application of solar photovoltaic (PV) in Indonesia is still not optimal. The simulation gives a new result by changing regulation assumptions: the solar photovoltaic on-grid system has a lower Levelized Cost of Electricity (LCOE) because it can produce eightfold more electricity to the grid with higher inverter capacity than before. Furthermore, the rental price of community-based cold storage can be 10 % cheaper on average with all energy system topologies than the rental price for cold storage based on commercial ownership model.
Cite
CITATION STYLE
Thalib, H., Maarif, S., & Setiawan, E. A. (2021). Optimization of solar PV system for fishery cold storage based on ownership model and regulation barrier in Indonesia. In Journal of Physics: Conference Series (Vol. 2022). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/2022/1/012035
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