EconPapers    
Economics at your fingertips  
 

A simulation-based study for estimating the V2G potentials for and effects on autarky in German energy communities and quarters

Lennart Börchers, Flemming Stötzer, Till Becker, Marc Hanfeld and Joachim Schwarz

Energy, 2025, vol. 334, issue C

Abstract: This paper analyses the impact of selected parameters on the electricity autarky of a simulated residential area with regard to the electrification of the mobility sector. A theoretical quarter is simulated with various combinations of parameter variations with the aim of increasing the electricity autarky and solar usage of the system. We tested the share of electric vehicles, their different charging strategies (naïve, intelligent, and Vehicle-to-Grid), the proportion between low- and high availability driving profiles, the amount of roof-mounted photovoltaic capacity, and home storage. Results show that increasing photovoltaic capacity has an immense impact on increasing the autarky and decreasing the solar usage of our simulated system, though both plateau quickly. In contrast, the ratio between driving profiles has almost no impact on either autarky or solar usage. Finally, increasing electric vehicle numbers is a net drain for the autarky with a naïve charging strategy, which can be mostly mitigated with intelligent charging, while small amounts of electric vehicles can even increase autarky with Vehicle-to-Grid. The core finding of the simulations is that vehicle-to-grid can make home storage systems obsolete, but the legal basis for this still needs to be created by the government.

Keywords: Vehicle-to-Grid; Electric vehicles; Energy system modelling (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225031834
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:334:y:2025:i:c:s0360544225031834

DOI: 10.1016/j.energy.2025.137541

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 ().

 
Page updated 2025-08-29
Handle: RePEc:eee:energy:v:334:y:2025:i:c:s0360544225031834