Strategic deployment of GIS-optimized solar charging stations for electric vehicles: A multi-criteria decision-making approach

• A strategy for promoting electric vehicles (EVs) via solar-powered charging stations to tackle CO 2 emissions. • Optimal station locations identified using ArcGIS10.8.2 based on technical, economic, and environmental data. • Leveraging public spaces for station construction reduces costs and supports sustainable infrastructure. • New systematic method identifies top global sites for solar EV charging station construction. Climate change and the rise in carbon dioxide levels due to gasoline vehicles are global challenges that require innovative and sustainable solutions; this study presents an innovative strategy to promote electric vehicles (EVs) adoption through the establishment of solar-powered charging stations. Utilizing ArcGIS10.8.2 software, a comprehensive analysis was conducted to identify optimal locations for these stations, considering technical, economic, environmental, and geological data. This research, unlike other past research, leverages public spaces such as gas stations, shopping centers, and parking lots for station construction, minimizing operational costs and fostering a sustainable infrastructure. This approach applies not only to the study area of this research, which is Khuzestan province, but can also be extended to other regions and serves as a model for reducing CO 2 emissions in the transportation sector worldwide. This research evaluates the location for establishing electric vehicle charging stations using solar energy innovatively, from both technical and operational perspectives. By using the systematic and new method presented in this research, it is possible to identify the highest potential for the construction of electric car charging stations that simultaneously use solar energy all over the world, and the results of applying this new method in the studied area showed that 90 % of the cities within this province have the potential to establish charging stations for electric vehicles utilizing sunlight. Specifically, Mahshahr County in this province can supply 90.55 % of the required energy for charging stations through solar energy. Operationally, 70 % of the cities in the region possess such potential. The study demonstrated that this area has the capacity to convert 11 % of vehicles to electric cars by 2040 and can reduce CO 2 emissions by more than 30 tons.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2024-09-21
DOI
https://doi.org/10.1016/j.ecmx.2024.100712
Citations
7
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strategic deployment of GIS-optimized solar charging stations for electric vehicles: A multi-criteria decision-making approach

Marziyeh Razeghi, Ali Roghani Araghi, Amir Naseri, Hossein Yousefi
7 citations
Energy Conversion and Management X
Electric Vehicles and Infrastructure
1.46
article

Strategic deployment of GIS-optimized solar charging stations for electric vehicles: A multi-criteria decision-making approach

Marziyeh Razeghi, Ali Roghani Araghi, Amir Naseri, Hossein Yousefi
article en
7 citations

Abstract

• A strategy for promoting electric vehicles (EVs) via solar-powered charging stations to tackle CO 2 emissions. • Optimal station locations identified using ArcGIS10.8.2 based on technical, economic, and environmental data. • Leveraging public spaces for station construction reduces costs and supports sustainable infrastructure. • New systematic method identifies top global sites for solar EV charging station construction. Climate change and the rise in carbon dioxide levels due to gasoline vehicles are global challenges that require innovative and sustainable solutions; this study presents an innovative strategy to promote electric vehicles (EVs) adoption through the establishment of solar-powered charging stations. Utilizing ArcGIS10.8.2 software, a comprehensive analysis was conducted to identify optimal locations for these stations, considering technical, economic, environmental, and geological data. This research, unlike other past research, leverages public spaces such as gas stations, shopping centers, and parking lots for station construction, minimizing operational costs and fostering a sustainable infrastructure. This approach applies not only to the study area of this research, which is Khuzestan province, but can also be extended to other regions and serves as a model for reducing CO 2 emissions in the transportation sector worldwide. This research evaluates the location for establishing electric vehicle charging stations using solar energy innovatively, from both technical and operational perspectives. By using the systematic and new method presented in this research, it is possible to identify the highest potential for the construction of electric car charging stations that simultaneously use solar energy all over the world, and the results of applying this new method in the studied area showed that 90 % of the cities within this province have the potential to establish charging stations for electric vehicles utilizing sunlight. Specifically, Mahshahr County in this province can supply 90.55 % of the required energy for charging stations through solar energy. Operationally, 70 % of the cities in the region possess such potential. The study demonstrated that this area has the capacity to convert 11 % of vehicles to electric cars by 2040 and can reduce CO 2 emissions by more than 30 tons.

Energy Conversion and Management XVol. 24
University of Tehran (IR)
Affordable and clean energy
Openalex Percentile: Top 18%
Electric Vehicles and Infrastructure
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.