Spatial Optimization of EV Charging Stations Siting Near Surplus Energy Areas

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Spatial Optimization of EV Charging Stations Siting Near Surplus Energy Areas | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Spatial Optimization of EV Charging Stations Siting Near Surplus Energy Areas Jaewon Kang, Jewon Oh, Dongki Hong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8023485/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a spatial optimization approach for siting electric vehicle charging stations (EVCSs) by integrating surplus solar energy simulation with GIS-based analysis. Using Fukuoka City, Japan as a case study, we identify buildings generating surplus photovoltaic energy and overlay these with road networks, peak-hour service areas, and land-use constraints to locate underserved zones. A 5-minute driving service area assesses accessibility, and a location-allocation model is applied to maximize coverage while minimizing the number of facilities. The analysis proposes 41 new EVCS sites in addition to 64 existing ones, creating a citywide network that supports emergency and in-transit charging needs. This supply-sensitive method links decentralized energy resources with localized charging demand, offering practical insights for renewable energy integration and strategies for resilient, efficient, and equitable EVCS deployment. Electric Vehicle Charging Station Surplus Energy Optimal Siting Model Renewable Energy Integration Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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