Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932 and Muñoz Unceta, Pablo ORCID: https://orcid.org/0000-0003-1670-2691 (2023) Regional allocation of EV chargers’ grid load. Annals of GIS, 29 (2). pp. 227-241. ISSN 1947-5683 (Print), 1947-5691 (Online) (doi:10.1080/19475683.2023.2166111)

Preview

PDF (Open Access Article) 50033 MASHHOODI_Regional_Allocation_Of_EV_Chargers_Grid_Load_(OA)_2023.pdf - Published Version Available under License Creative Commons Attribution. Download (8MB) | Preview

Abstract

This study develops a multiscale model for allocation of EV infrastructure to accommodate residents’ demand during nights and that of residents and visitors during days under two scenarios: maximum 40% or 80% increase in load on the electricity grid. Developing a mixed-integer linear optimization model including regional traffic flow, local electricity demand and parking availability in Amsterdam Metropolitan Area (AMA), the scenarios’ optimal solutions offer different spatial strategies. This study shows that multiscale allocation of EV chargers substantially improves the efficiency of use: in both scenarios, more than 53% of EVs can charge at their daily destination. However, in the 40% scenario, the extra electricity load is homogeneously allocated across the towns and villages around the AMA centre. In an 80% scenario, in contrast, the load is concentrated in a few areas (1) accessible for substantial numbers of EVs at the regional scale, (2) with relatively low annual consumption, (3) reasonably high number of registered EVs to use chargers in the nights. The manuscript ends with a discussion of the results and their policy implications and offers further studies.

Item Type:	Article
Uncontrolled Keywords:	electric vehicle, charging infrastructure, regional infrastructure grid load, spatial optimization
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	17 Mar 2025 16:40
URI:	http://gala.gre.ac.uk/id/eprint/50033

Actions (login required)

View Item

Downloads