Locations for residential charging stations in urban areas

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Journal ISSN

Volume Title

School of Business | Master's thesis

Authors

Date

2023

Major/Subject

Mcode

Degree programme

Information and Service Management (ISM)

Language

en

Pages

94 + 8

Series

Abstract

Electric Vehicles (EVs) as a replacement for traditional Internal Combustion Engine Vehicles have been considered one of the solutions to cut down CO2 and reduce the greenhouse effect, especially in urban areas. However, the lack of public residential charging facilities for residents could be a hinder to EV adoption in some inner-urban areas of populated cities whose residents have high reliant on public on-street parking facilities, especially those who do not have designated private parking facilities and thus cannot install private home charging facilities. To address this problem, this thesis firstly conducts a comprehensive literature review on residential charging demand estimation and location models for (residential) charging stations. Then, the thesis proposes a novel approach to estimate residential charging demand based on EV’s residential parking permit data and then presents an MCLP/ MIP location model to place and size charging stations to best satisfy the residential charging demand estimated. This methodology is conducted in 15 Helsinki’s residential parking areas. The methodology is practical for city planners and other relevant stakeholders, especially for those with limited resources since the methodology is based on data mostly already available to or not difficult to be obtained by those stakeholders such as parking permit data, and EV ownership forecast data. As a result, the thesis presents estimated residential charging demand distributions, detailed lists of stations, and corresponding numbers of charging points for each of the stations for all 15 study areas. With these results, theoretically, the thesis’s goal is to help address the current literature gap in locations for residential charging stations. Empirically, the methodology proposed in the thesis is hoped to be useful for city planners in not only Helsinki but other similar cities to determine locations for residential charging stations.

Description

Thesis advisor

Kuula, Markku

Keywords

EV, MIP, MCLP, residential charging demand estimation, location model for residential charging stations

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