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Simulation analysis of flexible concession period contracts in electric vehicle charging infrastructure public-private-partnership (EVCI-PPP) projects based on time-of-use (TOU) charging price strategy

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  • Song, Yanqiu
  • Shangguan, Lingzhi
  • Li, Guijun

Abstract

It is critical to provide coordinated charging facilities along with the rapid growth of Electric vehicles (EVs). Public-Private-Partnerships (PPP) have been used to build and operate electric vehicle charging infrastructure (EVCI). However, stakeholders such as operators, users and governments have not obtained satisfactory benefits using fixed concession period PPP contracts. To promote revenue and encourage the participation of the private sector, this paper simulates the use of flexible concession periods for EVCI-PPP projects using an integrated System Dynamics (SD) model. The model involves a peak-valley time-of-use tariff (TOU) price strategy, while a price reduction strategy is designed to redistribute revenues between users and operators. Three scenarios are defined to optimize the flexible concession period: i) a unitary charging price reduction strategy, ii) an variable charging price reduction strategy, and iii) a government incentive strategy. The results indicate that a valley load period rebate price strategy can increase charging station revenue to a certain extent. Furthermore, redistributing operating revenue between operators and users could improve the efficiency of EVCI-PPP projects by obtaining a shorter payback period and reducing government subsidies. Our results have important policy implications.

Suggested Citation

  • Song, Yanqiu & Shangguan, Lingzhi & Li, Guijun, 2021. "Simulation analysis of flexible concession period contracts in electric vehicle charging infrastructure public-private-partnership (EVCI-PPP) projects based on time-of-use (TOU) charging price strateg," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221005776
    DOI: 10.1016/j.energy.2021.120328
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    as
    1. Motoaki, Yutaka & Shirk, Matthew G., 2017. "Consumer behavioral adaption in EV fast charging through pricing," Energy Policy, Elsevier, vol. 108(C), pages 178-183.
    2. Subramanian, Vignesh & Das, Tapas K., 2019. "A two-layer model for dynamic pricing of electricity and optimal charging of electric vehicles under price spikes," Energy, Elsevier, vol. 167(C), pages 1266-1277.
    3. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    4. Xingping Zhang & Yanni Liang & Yakun Zhang & Yinhe Bu & Hongyang Zhang, 2017. "Charge Pricing Optimization Model for Private Charging Piles in Beijing," Sustainability, MDPI, vol. 9(11), pages 1-15, November.
    5. Schmidt, Marc & Staudt, Philipp & Weinhardt, Christof, 2020. "Evaluating the importance and impact of user behavior on public destination charging of electric vehicles," Applied Energy, Elsevier, vol. 258(C).
    6. Jeroen Struben & John D. Sterman, 2008. "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems," Post-Print hal-02312277, HAL.
    7. Lei Shi & Yujia He & Masamitsu Onishi & Kiyoshi Kobayashi, 2018. "Efficiency Analysis of Government Subsidy and Performance Guarantee Policies in Relation to PPP Infrastructure Projects," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-11, March.
    8. Li, Zhe & Ouyang, Minggao, 2011. "The pricing of charging for electric vehicles in China—Dilemma and solution," Energy, Elsevier, vol. 36(9), pages 5765-5778.
    9. Nombela, Gustavo & de Rus, Ginés, 2004. "Flexible-term contracts for road franchising," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 163-179, March.
    10. Zhou, Kaile & Cheng, Lexin & Wen, Lulu & Lu, Xinhui & Ding, Tao, 2020. "A coordinated charging scheduling method for electric vehicles considering different charging demands," Energy, Elsevier, vol. 213(C).
    11. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2019. "Consumer preferences for public charging infrastructure for electric vehicles," Transport Policy, Elsevier, vol. 81(C), pages 54-63.
    12. Stepp, Matthew D. & Winebrake, James J. & Hawker, J. Scott & Skerlos, Steven J., 2009. "Greenhouse gas mitigation policies and the transportation sector: The role of feedback effects on policy effectiveness," Energy Policy, Elsevier, vol. 37(7), pages 2774-2787, July.
    13. Zhang, Xingping & Liang, Yanni & Liu, Wenfeng, 2017. "Pricing model for the charging of electric vehicles based on system dynamics in Beijing," Energy, Elsevier, vol. 119(C), pages 218-234.
    14. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2017. "When do you charge your electric vehicle? A stated adaptation approach," Energy Policy, Elsevier, vol. 108(C), pages 565-573.
    15. Wang, Yong & Li, Lin, 2013. "Time-of-use based electricity demand response for sustainable manufacturing systems," Energy, Elsevier, vol. 63(C), pages 233-244.
    16. Ma, Shao-Chao & Fan, Ying & Feng, Lianyong, 2017. "An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions," Energy Policy, Elsevier, vol. 110(C), pages 609-618.
    17. Pagani, M. & Korosec, W. & Chokani, N. & Abhari, R.S., 2019. "User behaviour and electric vehicle charging infrastructure: An agent-based model assessment," Applied Energy, Elsevier, vol. 254(C).
    18. Wang, Yinglin & Gao, Huaizhu Oliver & Liu, Jicai, 2019. "Incentive game of investor speculation in PPP highway projects based on the government minimum revenue guarantee," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 20-34.
    19. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    20. Tong Yang & Ruyin Long & Wenbo Li & Saif UR Rehman, 2016. "Innovative Application of the Public–Private Partnership Model to the Electric Vehicle Charging Infrastructure in China," Sustainability, MDPI, vol. 8(8), pages 1-18, August.
    21. David R. Keith & Jeroen J.R. Struben & Sergey Naumov, 2020. "The Diffusion of Alternative Fuel Vehicles: A Generalised Model and Future Research Agenda," Journal of Simulation, Taylor & Francis Journals, vol. 14(4), pages 260-277, October.
    22. Geng, Lijun & Lu, Zhigang & He, Liangce & Zhang, Jiangfeng & Li, Xueping & Guo, Xiaoqiang, 2019. "Smart charging management system for electric vehicles in coupled transportation and power distribution systems," Energy, Elsevier, vol. 189(C).
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    3. Chen, Rongkai & Fan, Ruguo & Wang, Dongxue & Yao, Qianyi, 2023. "Effects of multiple incentives on electric vehicle charging infrastructure deployment in China: An evolutionary analysis in complex network," Energy, Elsevier, vol. 264(C).

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