A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing

The potential widespread adoption of Electric Vehicles (EVs) has received considerable attention across the globe. However, as a promising technology for both EVs and smart grid, Vehicle-to-Grid (V2G) tended to receive much less attention. This paper developed an agent-based joint EV V2G model simultaneously simulate how might diffuse space over time, with empirical findings from questionnaire survey in Beijing. In particular, random forest models were data generate each agent’s preferences attitudes towards V2G. also considered three typical levels social influence, i.e., global neighbor effect, friendship diffusion Finally, was tested through several “what-if” scenarios, considering different prices, EV/V2G advertisement intensities, vehicle purchase restrictions. results suggested that 67.7% respondents familiar EVs, but only 3.3% them 70% would/might try given they had EV. number CV applicants 6.19 times BEV 2030 baseline scenario, 27.8% users adopted Furthermore, selling price, advertisement, dedicated PHEV permits not very influential outcomes would be helpful EV- V2G-related stakeholders policy making investment.