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Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

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  • Dongnyok Shim

    (Korea Information Society Development Institute (KISDI), 18 Jeongtong-ro, Deoksan-myeon, Jincheon-gun, Chungchengbuk-do 27872, Korea)

  • Seung Wan Kim

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jörn Altmann

    (Department of Industrial Engineering, Graduate Program of Technology Management Economics and Policy (TEMEP), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Yong Tae Yoon

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jin Gyo Kim

    (Graduate School of Business, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

The market share of electric vehicles is growing and the interest in these vehicles is rapidly increasing in industrialized countries. In the light of these circumstances, this study provides an integrated policy-making package, which includes key features for electric vehicle diffusion and its impact on the Korean power market. This research is based on a quantitative analysis with the following steps: (1) it analyzes drivers’ preferences for electric or traditional internal combustion engine (ICE) vehicles with respect to key automobile attributes and these key attributes indicate what policy makers should focus on; (2) it forecasts the achievable level of market share of electric vehicles in relation to improvements in their key attributes; and (3) it evaluates the impact of electric vehicle diffusion on the Korean power market based on an achievable level of market share with different charging demand profiles. Our results reveal the market share of electric vehicles can increase to around 40% of the total market share if the key features of electric vehicles reach a similar level to those of traditional vehicles. In this estimation, an increase in the power market’s system generation costs will reach around 10% of the cost in the baseline scenario, which differs slightly depending on charging demand profiles.

Suggested Citation

  • Dongnyok Shim & Seung Wan Kim & Jörn Altmann & Yong Tae Yoon & Jin Gyo Kim, 2018. "Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1941-:d:151672
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    as
    1. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    3. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    4. Hong, Junhee & Koo, Yoonmo & Jeong, Gicheol & Lee, Jongsu, 2012. "Ex-ante evaluation of profitability and government's subsidy policy on vehicle-to-grid system," Energy Policy, Elsevier, vol. 42(C), pages 95-104.
    5. Gicheol Jeong & Jongsu Lee, 2010. "Estimating consumer preferences for online music services," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3885-3893.
    6. Ma, Hongrui & Balthasar, Felix & Tait, Nigel & Riera-Palou, Xavier & Harrison, Andrew, 2012. "A new comparison between the life cycle greenhouse gas emissions of battery electric vehicles and internal combustion vehicles," Energy Policy, Elsevier, vol. 44(C), pages 160-173.
    7. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Harris, Chioke B. & Webber, Michael E., 2014. "An empirically-validated methodology to simulate electricity demand for electric vehicle charging," Applied Energy, Elsevier, vol. 126(C), pages 172-181.
    10. Tverberg, Gail E., 2012. "Oil supply limits and the continuing financial crisis," Energy, Elsevier, vol. 37(1), pages 27-34.
    11. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    12. Dongnyok Shim & Seung Wan Kim & Jörn Altmann, 2018. "Strategic management of residential electric services in the competitive market: Demand-oriented perspective," Energy & Environment, , vol. 29(1), pages 49-66, February.
    13. Stern, Jonathan, 2014. "International gas pricing in Europe and Asia: A crisis of fundamentals," Energy Policy, Elsevier, vol. 64(C), pages 43-48.
    14. Jin Gyo Kim & Ulrich Menzefricke & Fred M. Feinberg, 2007. "Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach," Management Science, INFORMS, vol. 53(2), pages 340-354, February.
    15. Yeonbae Kim & Gicheol Jeong & Jiwoon Ahn & Jeong-Dong Lee, 2007. "Consumer preferences for alternative fuel vehicles in South Korea," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 7(4), pages 327-342.
    16. Horne, Matt & Jaccard, Mark & Tiedemann, Ken, 2005. "Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions," Energy Economics, Elsevier, vol. 27(1), pages 59-77, January.
    17. Weiller, Claire, 2011. "Plug-in hybrid electric vehicle impacts on hourly electricity demand in the United States," Energy Policy, Elsevier, vol. 39(6), pages 3766-3778, June.
    18. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
    19. Wang, Jianhui & Liu, Cong & Ton, Dan & Zhou, Yan & Kim, Jinho & Vyas, Anantray, 2011. "Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power," Energy Policy, Elsevier, vol. 39(7), pages 4016-4021, July.
    20. Kihm, Alexander & Trommer, Stefan, 2014. "The new car market for electric vehicles and the potential for fuel substitution," Energy Policy, Elsevier, vol. 73(C), pages 147-157.
    21. Božič, Dušan & Pantoš, Miloš, 2015. "Impact of electric-drive vehicles on power system reliability," Energy, Elsevier, vol. 83(C), pages 511-520.
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