Economic and carbon reduction potential assessment of vehicle-to-grid development in guangdong province

Ying Li, Yuping Huang, Yu Liang, Chenxi Song and Suliang Liao

Energy, 2024, vol. 302, issue C

Abstract: The rise in electric vehicle (EV) use in Guangdong Province enhances the potential for Vehicle-to-Grid (V2G) applications to absorb renewable energy and manage grid loads. This study explores V2G's carbon reduction and economic potential in Guangdong Province, using a long-term power model based on the region's EV inventory. It projects power consumption, carbon reduction and economic gains for battery electric vehicles (BEVs) across four carbon reduction scenarios aligned with transportation trends. Findings suggest V2G application and modes could cut carbon emissions by 1471 and 2873 million metric tons CO2 and mitigate peak-valley load disparities by 7.6 %. Compared to multiple influencing factors, the increase in battery capacity is a key benefit to all stakeholders involved in V2G interactions. Large-scale V2G integration promotes green energy, enhances grid efficiency, and offers economic advantages for multiple participants. The study concludes with strategic recommendations for V2G's advancement.

Keywords: Vehicle to grid (V2G); Bottom-up method; Scenario analysis; Economic assessment; Carbon reduction potential (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224015159
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:302:y:2024:i:c:s0360544224015159

DOI: 10.1016/j.energy.2024.131742

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 ().