Energy Burden in Electric Vehicle Grid Integration: A New England Case Study

Energy Burden in Electric Vehicle Grid Integration: A New England Case Study | 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 Article Energy Burden in Electric Vehicle Grid Integration: A New England Case Study Feng Qiu, Jie Xu, Siwei Li, Saba Siddiki, Victor Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5355261/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Widespread adoption of electric vehicles (EVs) is hailed as an effective measure for reducing greenhouse gas emissions and fighting climate change. However, increasing charging loads coinciding with greater uptake of EVs will place additional pressure on the current and future electric grid. To better understand the implications of transportation electrification on the electric grid, existing literature has begun to examine the impact of changing EV charging loads on electricity price. However, within these studies, the analysis is often at an aggregated level, both geographically and population wise, and limited attention has been given to con- textualizing electricity price changes locationally and demographically. In response to these limitations, here we conducted an in-depth study of the implications of large-scale EV grid integration using the ISO New England (ISO-NE) network as a case study. Using the regional system planning (RSP) model of ISO-NE, we investigated the changes in wholesale prices in 13 RSP areas in a baseline scenario that represents the current system projected into 2040, and a deep decarbonization scenario set forth in the technical report of Massachusetts 2050 decarbonization roadmap study. We also studied variations based on the deep decarbonization scenario. We then translated the predicted changes in wholesale prices into changes in retail electricity rates at a county level, and examined the impact on for households contained in 2021 American Community Survey data. Results suggest substantial seasonal and geographical differences in locational marginal prices (LMPs) in ISO-NE network. While our results show that the projected production resources and transmission capacity in 2040 are generally sufficient to support the EV adoption goal, further increase in EV adoptions may create significant increase in electricity prices that have substantial locational and demographic variations. Finally, we summarized the differences in the energy burdens on differ- ent demographic groups created by the projected increase in LMPs and subsequent increases in retail rates at county level. Scientific community and society/Energy and society/Energy access Scientific community and society/Energy and society/Energy justice Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Under Review 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5355261","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":372882095,"identity":"7b417a81-c078-40d1-b324-119681a22e31","order_by":0,"name":"Feng Qiu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAoklEQVRIiWNgGAWjYBAC9gbGBoYPDAwyxGvhOcDYwDgDSJOihYGBmYc0LezJbdI2NXd4GPgXH5MgTgvPwzbpnGPPeBgknqURp8VeIhGohe0wUMsZYwPibAFpsfhHshbGNqAW/h7DB8Rp4XnYbNnbd5iHTYItkUgt7OkPb/z4dliOn//wgQNEaWFgSIBQbBIJRGqAa2HgJ9aOUTAKRsEoGHEAAJ4iKV6zrakiAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0003-2819-2764","institution":"Argonne National Laboratory","correspondingAuthor":true,"prefix":"","firstName":"Feng","middleName":"","lastName":"Qiu","suffix":""},{"id":372882096,"identity":"0a4e43b2-ee2c-48a2-9000-f48a0c6c0b97","order_by":1,"name":"Jie Xu","email":"","orcid":"","institution":"George Mason University","correspondingAuthor":false,"prefix":"","firstName":"Jie","middleName":"","lastName":"Xu","suffix":""},{"id":372882097,"identity":"a1985717-b5b5-4aab-9cbf-6ed7356059f5","order_by":2,"name":"Siwei Li","email":"","orcid":"","institution":"Syracuse University","correspondingAuthor":false,"prefix":"","firstName":"Siwei","middleName":"","lastName":"Li","suffix":""},{"id":372882098,"identity":"97a12537-a98e-4e99-bef1-6e272044eb1c","order_by":3,"name":"Saba Siddiki","email":"","orcid":"","institution":"Syracuse University","correspondingAuthor":false,"prefix":"","firstName":"Saba","middleName":"","lastName":"Siddiki","suffix":""},{"id":372882099,"identity":"0c4a4d31-cd2c-4f9a-9155-4ebeb8e13979","order_by":4,"name":"Victor Wang","email":"","orcid":"","institution":"George C. 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However, increasing charging loads coinciding with greater uptake of EVs will place additional pressure on the current and future electric grid. To better understand the implications of transportation electrification on the electric grid, existing literature has begun to examine the impact of changing EV charging loads on electricity price. However, within these studies, the analysis is often at an aggregated level, both geographically and population wise, and limited attention has been given to con- textualizing electricity price changes locationally and demographically. In response to these limitations, here we conducted an in-depth study of the implications of large-scale EV grid integration using the ISO New England (ISO-NE) network as a case study. 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