A Design of Hybrid Solar PV–Diesel System for Electrification of Oil Palm Plantation Employee Estate in Muara Tebo, Jambi
Keywords:
electrification, grid stability, Hybrid, Rural, Techno-EconomicAbstract
Unreliable electricity access remains a major barrier to improving welfare and increase efficiency, particularly in rural areas. One such example is the workers’ residential estate in Sungai Bengkal Village, Muara Tebo Regency, Jambi Province, Indonesia (SBNE Project), which currently lacks a dependable power supply. This study aims to design a hybrid power generation system combining solar photovoltaics (PV), diesel generators (DG), and battery energy storage systems (BESS) to ensure a continuous 24-hour electricity supply.
The research evaluates four different hybrid energy configurations to support the electrification of an oil palm plantation workers' estate in the area. The analysis involves technical and economic simulations using PVsyst to assess solar potential and system performance, along with HOMER Pro to compare and optimize each scenario. The configurations include: (a) a DG-only system; (b) a DG-PV system to reduce fuel usage; (c) a PV-BESS setup offering a fully renewable solution; and (d) a combined DG-PV-BESS system aimed at balancing reliability and efficiency.
The results of this study are expected to contribute to the acceleration of rural electrification programs in off-grid areas. Additionally, it provides a replicable model that can be applied to other remote regions facing infrastructure limitations and unequal access to energy.
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References
C. Bataille et al., “A review of technology and policy deep decarbonization pathway options for making energy-intensive industry production consistent with the Paris Agreement,” Jun. 20, 2018, Elsevier Ltd. doi: 10.1016/j.jclepro.2018.03.107.
N. Höhne et al., “Wave of net zero greenhouse gas emission targets opens window on meeting the Paris Agreement,” 2021.
J. Rogelj et al., “Zero emission targets as long-term global goals for climate protection,” Environmental Research Letters, vol. 10, no. 10, Oct. 2015, doi: 10.1088/1748-9326/10/10/105007.
I. Jamil, H. Lucheng, S. Habib, M. Aurangzeb, A. Ali, and E. M. Ahmed, “Performance Ratio Analysis Based on Energy Production for Large-Scale Solar Plant,” IEEE Access, vol. 10, pp. 5715–5735, 2022, doi: 10.1109/ACCESS.2022.3141755.
B. P. Ganthia et al., “Machine Learning Strategy to Achieve Maximum Energy Harvesting and Monitoring Method for Solar Photovoltaic Panel Applications,” International Journal of Photoenergy, vol. 2022, 2022, doi: 10.1155/2022/4493116.
R. Sharma, “Effect of obliquity of incident light on the performance of silicon solar cells,” Heliyon, vol. 5, no. 7, Jul. 2019, doi: 10.1016/j.heliyon.2019.e01965.
M. Libra, T. Petrik, V. Poulek, I. I. Tyukhov, and P. Kourim, “Changes in the Efficiency of Photovoltaic Energy Conversion in Temperature Range with Extreme Limits,” IEEE J Photovolt, vol. 11, no. 6, pp. 1479–1484, Nov. 2021, doi: 10.1109/JPHOTOV.2021.3108484.
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