Forecasting the future scale of vehicle to grid technology for electric vehicles and its economic value as future electric energy source: The case of South Korea

With the world seeking ways to cope with climate change, the interest in and demand for electric vehicles are increasing as part of the efforts to resolve the issue of fine dust, especially in South Korea. The Korean government has consistently announced plans to promote electric vehicles as a means of transportation by providing benefits such as subsidies for electric vehicle purchase and expansion of charging infrastructure. Meanwhile, as electric vehicles continue to grow in number, the energy industry has become attentive to its role as a resource for power generation through vehicle to grid technology. This study analyzes electric vehicle consumer preferences using the discrete choice experiment (DCE) and found that there exists a clear nested structure in Korean consumers’ choice of vehicle. The study also estimates the amount of vehicle to grid electricity supply in the power market and calculates not only national but also individual economic benefit of electric vehicle owners participating in vehicle to grid services based on the estimated amount of electricity supplied. The results of scenario analysis indicate that the estimated electric vehicle supply in Korea will be about 560,000 units cumulatively and that the vehicle to grid electric vehicle power supply scale will reach 1.81 GW by 2030. The estimation shows that the economic benefit of vehicle to grid at the national power market level is 50.9 billion KRW per year, while the economic benefit at an individual level (per vehicle) is 104,151 KRW.

[1]  G. Ewing,et al.  Assessing Consumer Preferences for Clean-Fuel Vehicles: A Discrete Choice Experiment , 2000 .

[2]  D. Shoup The High Cost of Free Parking , 1997 .

[3]  Shunsuke Managi,et al.  Willingness-to-pay for infrastructure investments for alternative fuel vehicles , 2013 .

[4]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[5]  Jungwoo Shin,et al.  Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles , 2018 .

[6]  Junghun Kim,et al.  Reference-dependent preferences on smart phones in South Korea: Focusing on attributes with heterogeneous preference direction , 2016, Comput. Hum. Behav..

[7]  Gicheol Jeong,et al.  Ex-ante evaluation of profitability and government's subsidy policy on vehicle-to-grid system , 2012 .

[8]  Jarrod Goentzel,et al.  Economic analysis of vehicle-to-grid (V2G)-enabled fleets participating in the regulation service market , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[9]  Paul Rowley,et al.  Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage , 2017 .

[10]  Daniel McFadden,et al.  Regression-based specification tests for the multinomial logit model , 1987 .

[11]  Ryuichi Kitamura,et al.  Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project , 1993 .

[12]  Randall Guensler,et al.  Electric vehicles: How much range is required for a day’s driving? , 2011 .

[13]  Jonathan Donadee,et al.  Potential Benefits of Vehicle-to-Grid Technology in California: High Value for Capabilities Beyond One-Way Managed Charging , 2019, IEEE Electrification Magazine.

[14]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[15]  Zhenhong Lin,et al.  What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models , 2018, Renewable and Sustainable Energy Reviews.

[16]  Meryl P. Gardner,et al.  Willingness to pay for electric vehicles and their attributes , 2011 .

[17]  Chandra R. Bhat,et al.  A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models , 2006 .

[18]  Meryl P. Gardner,et al.  Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms , 2014 .

[19]  Takao Kashiwagi,et al.  Utilization of Electric Vehicles and Their Used Batteries for Peak-Load Shifting , 2015 .

[20]  Shahrina Md Nordin,et al.  Barriers Towards Widespread Adoption of V2G Technology in Smart Grid Environment: From Laboratories to Commercialization , 2018 .

[21]  Andreas R. Ziegler,et al.  Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis , 2010 .

[22]  J. Hoj,et al.  V2G—An Economic Gamechanger in E-Mobility? , 2018, World Electric Vehicle Journal.

[23]  Eric Molin,et al.  Consumer preferences for electric vehicles: a literature review , 2017 .

[24]  Richard H Osborne,et al.  Designing choice experiments with many attributes. An application to setting priorities for orthopaedic waiting lists. , 2009, Health economics.

[25]  Willett Kempton,et al.  ELECTRIC VEHICLES AS A NEW POWER SOURCE FOR ELECTRIC UTILITIES , 1997 .

[26]  Jongsu Lee,et al.  Forecasting electricity demand of electric vehicles by analyzing consumers’ charging patterns , 2018 .

[27]  George Gross,et al.  A conceptual framework for the vehicle-to-grid (V2G) implementation , 2009 .

[28]  David Banister,et al.  Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV , 2013 .

[29]  W. Kempton,et al.  Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cell Vehicles as Resources for Distributed Electric Power in California , 2001 .

[30]  David B. Richardson,et al.  Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration , 2013 .

[31]  P. L. So,et al.  V2G Capacity Estimation Using Dynamic EV Scheduling , 2014, IEEE Transactions on Smart Grid.

[32]  C. Teddlie,et al.  Mixed Methods Sampling , 2007 .

[33]  Matthieu Dubarry,et al.  The viability of vehicle-to-grid operations from a battery technology and policy perspective , 2018 .

[34]  Yutaka Motoaki,et al.  Empirical analysis of electric vehicle fast charging under cold temperatures , 2018, Energy Policy.

[35]  Jerry A. Hausman,et al.  Assessing the potential demand for electric cars , 1981 .