Financial Analysis of 10MW Reserve Margin Bergerak (RMB) Provision in Island Power Systems Using LCT Platform
DOI:
https://doi.org/10.37577/sainteks.v8i02.1142Keywords:
mobile reserve power plant, CAPEX sensitivity, IRR, NPV, LCT platform, Archipelagic energy systemAbstract
This study offers a thorough financial and risk analysis of a Reserve Margin Bergerak power plant system installed on Landing Craft Tank (LCT) platforms, aimed at improving energy security in Indonesia's remote and archipelagic areas. The total capital expenditure (CAPEX), which is IDR 77.74 billion including taxes, mainly covers engine generators and associated electrical infrastructure. The project's economic viability is assessed using Net Present Value (NPV) and Internal Rate of Return (IRR) under a fixed tariff structure, with a minimum IRR threshold of 8.24%. Sensitivity tests show that the project's success is highly affected by changes in CAPEX but less influenced by operational expenditure (OPEX) variations. A 10% increase in CAPEX drops the IRR to the viability limit, while a 30% cost reduction greatly improves returns. Changes in operational costs have little effect on IRR but slightly boost NPV. Following ISO 31000:2018 standards, risk analysis highlights critical operational risks including design mismatches, tariff inefficiencies, and low LCT utilisation all of which can be addressed through targeted technical reviews, tariff reforms, and deployment strategies. These results emphasise the importance of controlling investment costs and implementing structured risk management to ensure the long-term viability and financial appeal of mobile energy projects.
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References
Bhagya, T.G., (2016). Studi kelayakan penerapan teknologi GPS dan fish finder untuk meningkatkan hasil tangkapan ikan. Insearch, 15. 55-60.
Chongphipatmongkol, T., & Audomvongseree, K. (2018). Determination of reserve margin based on specified loss of load expectation. ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 644–647. https://doi.org/10.1109/ECTICON.2018.8619932
De Albornoz, V. A. C., Galera, A. L., & Millán, J. M. (2018). Is it correct to use the internal rate of return to evaluate the sustainability of investment decisions in Public private partnership projects? Sustainability (Switzerland), 10(12). https://doi.org/10.3390/su10124371
Direktorat Jenderal Ketenagalistrikan. (2024). Laporan Kinerja Direktorat Jenderal Ketenagalistrikan 2024.
Energy Agency, I. (2023). Electricity Grids and Secure Energy Transitions Enhancing the foundations of resilient, sustainable and affordable power systems. www.iea.org
Fan, G., Du, Z., Lin, X., & Chen, N. (2024). Mobile power sources pre-allocation and dispatch strategy in power-transportation coupled network under extreme weather. IET Renewable Power Generation, 18(7), 1129–1148. https://doi.org/10.1049/rpg2.12872
Hedayati-Mehdiabadi, M., Balasubramanian, P., Hedman, K. W., & Zhang, J. (2018). Market implications of wind reserve margin. IEEE Transactions on Power Systems, 33(5), 5161–5170. https://doi.org/10.1109/TPWRS.2018.2817649
ISO 31000. (2018). Risk management — Guidelines.
ISO 45001. (2018). Occupational health and safety management systems. https://www.iso.org/standard/63787.html
Karamoozian, A., Wu, D., Lambert, J. H., & Luo, C. (2022). Risk assessment of renewable energy projects using uncertain information. International Journal of Energy Research, 46(13), 18079–18099. https://doi.org/10.1002/ER.8428;WGROUP:STRING:PUBLICATION
Li, C., Xi, Y., Lu, Y., Liu, N., Chen, L., Ju, L., & Tao, Y. (2022). Resilient outage recovery of a distribution system: co-optimizing mobile power sources with network structure. Protection and Control of Modern Power Systems, 7(1). https://doi.org/10.1186/s41601-022-00256-9
Nacharoenkul, C., & Chaitusaney, S. (2017). Benefit analysis of demand response in Southern Thailand with consideration of reserve margin. ECTI-CON 2017 - 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 342–345. https://doi.org/10.1109/ECTICON.2017.8096243
National Society of Professional Engineers. (2019). NSPE Code of Ethics for Engineers. https://www.nspe.org/career-growth/ethics/nspe-code-ethics-engineers
O’Connor, M., Lewis, T., & Dalton, G. (2013). Operational expenditure costs for wave energy projects and impacts on financial returns. Renewable Energy, 50, 1119–1131. https://doi.org/10.1016/J.RENENE.2012.08.059
Otsubo, N., Yokoyama, A., Ishizaka, T., Kitagishi, N., Mochida, T., Nishimura, T., & Ikeda, H. (2014). Economic evaluation of tie line reinforcement under wide-area operation of power plants considering power supply reserve margin. POWERCON 2014 - 2014 International Conference on Power System Technology: Towards Green, Efficient and Smart Power System, Proceedings, 1135–1141. https://doi.org/10.1109/POWERCON.2014.6993984
PERPRES No. 63. (2020). Penetapan Daerah Tertinggal Tahun 2020-2024.
Polzin, F., Sanders, M., Steffen, B., Egli, F., Schmidt, T. S., Karkatsoulis, P., Fragkos, P., & Paroussos, L. (2021). The effect of differentiating costs of capital by country and technology on the European energy transition. Climatic Change, 167(1–2). https://doi.org/10.1007/s10584-021-03163-4
PT. PLN (Persero). (2025). RUPTL PLN 2025 2034.
Subramanyam, S. A., & Zhang, X. (2020a). Effect of Loss of Load Probability Distribution on Operating Reserve Demand Curve Performance in Energy-Only Electricity Market. IEEE Transactions on Power Systems, 35(4), 3297–3300. https://doi.org/10.1109/TPWRS.2020.2995121
Subramanyam, S. A., & Zhang, X. (2020b). Effect of Loss of Load Probability Distribution on Operating Reserve Demand Curve Performance in Energy-Only Electricity Market. IEEE Transactions on Power Systems, 35(4), 3297–3300. https://doi.org/10.1109/TPWRS.2020.2995121
Wolff, T., & Nieße, A. (2023). Dynamic Overlapping Coalition Formation in Electricity Markets: An Extended Formal Model. Energies, 16(17). https://doi.org/10.3390/en16176289








