Feasibility of vehicle-to-grid (V2G) implementation in Japan: A regional analysis of the electricity supply and demand adjustment market
Chengquan Zhang,
Hiroshi Kitamura and
Mika Goto
Energy, 2024, vol. 311, issue C
Abstract:
Vehicle-to-Grid (V2G) technology forms a critical bridge between electric vehicles (EVs) and renewable energy, playing a transformative role in the global shift towards a low-carbon future. Despite its promise, the impact of regional differences on V2G potential, particularly within specific application scenarios, remains largely unexplored. This study employs an agent-based modeling approach to evaluate V2G potential across Japan's 47 prefectures, with a focus on its integration into an energy reserve service business model. Our analysis reveals that EV ownership is the dominant factor influencing regional variability, with the Tokyo Metropolitan Area, Aichi, and Kanagawa emerging as top candidates for V2G deployment. Interestingly, when EV ownership is excluded from consideration, regions like Okinawa, Kagoshima, and Ibaraki show leadership in V2G potential. These findings highlight the existence of regional priorities for V2G application. Moreover, a ‘High Demand Disparity’ is observed in the power supply and demand adjustment market, where V2G systems are often either underutilized or overwhelmed, leaving many idle. The study underscores the need for region-specific strategies and the integration of diverse business models to fully capitalize on V2G's potential in various demand adjustment scenarios.
Keywords: Vehicle-to-Grid; Regional differences; Supply and demand adjustment; Electric vehicles (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224030937
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:311:y:2024:i:c:s0360544224030937
DOI: 10.1016/j.energy.2024.133317
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().