Electric Vehicle Charging Station Incentive Design for Low Utilization, Fast and Ultra-Fast Chargers in Indonesia
DOI:
https://doi.org/10.59188/eduvest.v6i1.52017Keywords:
Electric Vehicle Charging Station, Incentive Design, Discounted Cash Flow, Capital Expenditure (CAPEX), Internal Rate of Return (IRR), Net Present Value (NPV), Performance-Based IncentiveAbstract
This study addresses the financial feasibility challenges of deploying fast and ultra-fast electric vehicle charging station incentive design for low utilization, fast and ultra-fast chargers in Indonesia (EVCS) in Indonesia, where low utilization rates (<30%) create significant economic barriers. It evaluates the impact of government incentive schemes on investment viability using Discounted Cash Flow (DCF) simulations. Schemes analyzed include baseline (no incentive), CAPEX incentive, tariff incentive, and performance-based incentive (PBI), with key indicators: Net Present Value (NPV), IRR, and Payback Period. Simulations reflect utilization below 30%, typical outside major urban centres. Without incentives, projects show negative NPV and sub-threshold IRR. CAPEX incentives reduce upfront costs, improving feasibility; tariff incentives boost cash flow. PBIs, which provide fiscal support per kWh sold or utilization level, enhance sustainability by tying aid to usage. Sensitivity analysis confirms IRR sensitivity to utilization and CAPEX. The study concludes that combining capital and output-based incentives is essential to bridge the viability gap, especially in low-demand regions. This will accelerate EVCS deployment, bolster investor confidence, and advance national electrification goals via inclusive infrastructure.
References
Bernal, D., Raheem, A. A., Inti, S., & Wang, H. (2024). Assessment of economic viability of direct current fast charging infrastructure investments for electric vehicles in the United States.
Fitriana, I., Niode, N., Darmawan, A., Hadi, A., & Nurrohim, A. (2024). Rooftop Solar Power System for EV Charging Station of Household Customers in Indonesia: A review and an Opportunity for Developing Countries.
Gan, X., Zhang, H., Hang, G., Qin, Z., & Jin, H. (2020). Fast charging station deployment considering elastic demand.
Government of Indonesia. (2019). Presidential Regulation Number 55 of 2019 on the acceleration of battery electric vehicles for road transportation, as amended by Presidential Regulation Number 79 of 2023. Jakarta, Indonesia: Government of Indonesia.
Greene, D. L., Kontou, E., Borlaug, B., Brooker, A., & Muratori, M. (2020). Public charging infrastructure for plug-in electric vehicles: What is it worth?
Hanun, I. A., Sutopo, W., & Rochani, R. (2023). Business feasibility of charging infrastructure to increase vehicle electrification in Indonesia.
Hardono, L. W., Limbong, J. M. M., Irsyam, S. I., Pambudi, B. A., Endramanto, V., & Firdaus, H. (2025). The Role of Internet Signal Quality in Maximizing Revenue and Reliability of Indonesia’s Electric Vehicle Charging Networks Case Study PT PLN EV Charging Station. 2025 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), 522–527.
Kristiana, T., Pierce, L., Baldino, C., & Schmidt, J. (2024). Charging Indonesia’s Vehicle Transition: Infrastructure Needs for Electric Passenger Cars in 2030’. International Council on Clean Transportation.
Lee, U., Kang, N., & Lee, I. (2020). Choice data generation using usage scenarios and discounted cash flow analysis. Journal of Choice Modelling, 37, 100250.
Liangliang, J., Barus, L. S., Fitrinitia, I. S., Safira, F., & Luis, L. Y. (2025). Developing Electric Vehicle Service Centers (EVSCs) as a Key to Sustainable Transportation Infrastructure. 9th International Conference on Strategic and Global Studies 2025 ((ICSGS 2025), 882–898.
Perrelli, A., Sodré, E., Silva, V., & Santos, A. (2023). Maximizing returns and minimizing risks in hybrid renewable energy systems: A stochastic discounted cash flow analysis of wind and photovoltaic systems in Brazil. Energies, 16(19), 6833.
Pless, J., Arent, D. J., Logan, J., Cochran, J., & Zinaman, O. (2016). Quantifying the value of investing in distributed natural gas and renewable electricity systems as complements: Applications of discounted cash flow and real options analysis with stochastic inputs. Energy Policy, 97, 378–390.
Samis, M. R., Davis, G. A., & Laughton, D. G. (2007). Using stochastic discounted cash flow and real option Monte Carlo simulation to analyse the impacts of contingent taxes on mining projects. Project Evaluation Conference in Melbourne, Australia.
Schroeder, A., & Traber, T. (2012). The economics of fast charging infrastructure for electric vehicles.
Szumska, E. M. (2023). Electric vehicle charging infrastructure along highways in the EU.
Wesseh, P. K., Jr., & Lin, B. (2022). A time-of-use pricing model of the electricity market considering system flexibility.
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