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Inducing the Growth of Electric Vehicle Charging Infrastructure Through a Charge Pricing Model

Published:27 November 2022Publication History

ABSTRACT

Reasonable charging prices are demanding to prompt the outspread use of electric vehicles and their charging infrastructure. This paper presents a system dynamics conceptual model for developing a charge pricing model that can contribute to PT PLN Persero's profitable market. This research explores the electric vehicle charging problem in Indonesia, followed by an actor analysis, and then identifies variables and their interconnections through literature reviews, both in technical and non-technical aspects. We develop a conceptual model based on causal loop diagrams to illustrate the variable structure that highlights possible interventions that can assure charge operators can gain reasonable profit within government limitations. This paper's results can be used to develop business strategies for charging infrastructure in Indonesia.

References

  1. Ma, Y., Ke, R.-Y., Han, R., Tang, B.-J., 2017. The analysis of the battery electric vehicle's potentiality of environmental effect: a case study of Beijing from 2016 to 2020. J. Clean. Prod. 145, 395-406.Google ScholarGoogle ScholarCross RefCross Ref
  2. IEA (2020), Global EV Outlook 2020, IEA, Paris https://www.iea.org/reports/global-ev-outlook-2020Google ScholarGoogle Scholar
  3. Finance, B.N.E., Electric Vehicle Outlook 2019 (2019).Google ScholarGoogle Scholar
  4. Kochhan, R., Fuchs, S., Reuter, B., Burda, P., Matz, S. and Lienkamp, M. (2014) An overview of costs for vehicle components, fuels and greenhouse gas emissions. Published on www. researchgate.net in Feb 2014Google ScholarGoogle Scholar
  5. Sang, Yew-Ngin, and Hussain Ali Bekhet. "Modelling electric vehicle usage intentions: an empirical study in Malaysia." Journal of Cleaner Production 92 (2015): 75-83.Google ScholarGoogle Scholar
  6. Zhang, X. and Rao, R. (2016) A benefit analysis of electric vehicle battery swapping and leasing modes in China. Emerging Markets Finance and Trade, 52(6), pp.1414-1426.Google ScholarGoogle ScholarCross RefCross Ref
  7. Nuryakin, C., Riyadi, S.A. and Massie, N.W.G. (2020) Estimating the Total Cost of Ownership (TCO) Of Electrified Vehicle In Indonesia.Google ScholarGoogle Scholar
  8. Ahuja, Jyoti; Dawson, Louis; LEE, Robert. (2020) A circular economy for electric vehicle batteries: driving the change. Journal of Property, Planning and Environmental Law.Google ScholarGoogle ScholarCross RefCross Ref
  9. Lévay, P.Z., Drossinos, Y. and Thiel, C. (2017) The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership. Energy Policy, 105, pp.524-533.Google ScholarGoogle ScholarCross RefCross Ref
  10. He, Jia, "An optimal charging station location model with the consideration of electric vehicle's driving range." Transportation Research Part C: Emerging Technologies 86 (2018): 641-654.Google ScholarGoogle Scholar
  11. Lam, Albert YS, Yiu-Wing Leung, and Xiaowen Chu. "Electric vehicle charging station placement: Formulation, complexity, and solutions." IEEE Transactions on Smart Grid 5.6 (2014): 2846-2856.Google ScholarGoogle Scholar
  12. Liao, Fanchao, "Consumer preferences for business models in electric vehicle adoption." Transport Policy 73 (2019): 12-24.Google ScholarGoogle Scholar
  13. Will, Christian, and Alexander Schuller. "Understanding user acceptance factors of electric vehicle smart charging." Transportation Research Part C: Emerging Technologies 71 (2016): 198-214.Google ScholarGoogle Scholar
  14. Wirges, Johannes, Susanne Linder, and Alois Kessler. "Modelling the development of a regional charging infrastructure for electric vehicles in time and space." European Journal of Transport and Infrastructure Research 12.4 (2012).Google ScholarGoogle Scholar
  15. Zhang, Lihui, "Charge pricing model for electric vehicle charging infrastructure public-private partnership projects in China: A system dynamics analysis." Journal of Cleaner Production 199 (2018): 321-333.Google ScholarGoogle Scholar
  16. Damayanti, Sih, Akhmad Hidayatno, and Andri D. Setiawan. "User Acceptance of Electric Vehicles in Indonesia: A Conceptual Model." Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering 2020. 2020.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Feng, Bo, Qiwen Ye, and Brian J. Collins. "A dynamic model of electric vehicle adoption: The role of social commerce in new transportation." Information & Management 56.2 (2019): 196-212.Google ScholarGoogle Scholar
  18. Verma, A., Raj, R., Kumar, M., Ghandehariun, S., Kumar, A., 2015. Assessment of renewable energy technologies for charging electric vehicles in Canada. Energy 86, 548-559.Google ScholarGoogle ScholarCross RefCross Ref
  19. https://otomotif.kompas.com/read/2020/02/03/130200315/sudah-bebas-pajak-jumlah-kendaraan-listrik-di-jakarta-belum-banyakGoogle ScholarGoogle Scholar
  20. https://www.cnnindonesia.com/teknologi/20201007150346-384-555502/daftar-stasiun-pengecasan-kendaraan-listrik-di-indonesiaGoogle ScholarGoogle Scholar
  21. Liu, J., Wei, Q., 2018. Risk evaluation of electric vehicle charging infrastructure public-private partnership projects in China using fuzzy TOPSIS. J. Clean. Prod. 189, 211e222.Google ScholarGoogle ScholarCross RefCross Ref
  22. Langbroek, J.H.M., Franklin, J.P., Susilo, Y.O., 2017. When do you charge your electric vehicle? A stated adaptation approach. Energy Pol. 108, 565e573.Google ScholarGoogle ScholarCross RefCross Ref
  23. IEA (2020), Global EV Outlook 2020, IEA, Paris. Page 87.Google ScholarGoogle Scholar
  24. Hidayatno, Akhmad, Regina Dhamayanti, and Arry Rahmawan Destyanto, 2018. Model Conceptualization for Policy Analysis in Renewable Energy Development in Indonesia by Using System Dynamics. International Journal of Smart Grid and Clean Energy, 54-58.Google ScholarGoogle ScholarCross RefCross Ref
  25. Sterman, John D. 2001. System Dynamics Modeling: Tools for Learning in a Complex World. California Management Review 43, 4, 8-25.Google ScholarGoogle ScholarCross RefCross Ref
  26. Setiawan, Andri D., Irvanu Rahman, Akhmad Hidayatno, and Almira Dilis Eliana Zelin, 2019. Modeling Adoption of Electronic Money in Indonesia. Proceedings of the 2019 5th International Conference on Industrial and Business Engineering.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Walker, W.E., 2000. Policy Analysis: A Systematic Approach to Supporting Policy making in the Public Sector. Journal of Multi-Criteria Decision Analysis 9, 11-27.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

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    APCORISE '21: Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering
    May 2021
    672 pages
    ISBN:9781450390385
    DOI:10.1145/3468013

    Copyright © 2021 ACM

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    Publication History

    • Published: 27 November 2022

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