Abstract
The rapid adoption of electric vehicles (EVs) presents significant challenges to urban energy networks due to increased demand and potential overloading risks. Integrating renewable energy sources (RES) offers a sustainable solution, reducing carbon emissions while meeting future energy needs. Using Nottingham, UK, as a representative case within a broader European urban energy context, this study investigates the interactions between EVs, RES, and urban energy systems, focusing on supply–demand dynamics under constrained renewable output conditions. A stochastic modelling approach, guided by the Future Energy Scenarios (FES) developed by the National Energy System Operator (NESO), is employed to analyse EV-RES integration under four distinct scenarios — Consumer Transformation, System Transformation, Leading the Way, and Falling Short — projected for 2035 and 2050. Key focus areas include balancing energy supply and demand, managing peak loads, and utilising Vehicle-to-Grid (V2G) technology to address grid stability issues. Results demonstrate the heightened challenges of integrating EVs on days with suboptimal renewable energy generation, where energy shortfalls exacerbate system strain. By 2050, low renewable energy generation days aggravate energy shortfalls, emphasising the importance of V2G. In the most constrained scenario, up to 97 % of EVs remain uncharged or partly charged, demonstrating the risk of severe energy deficits. Conversely, in an ambitious renewable energy scenario, significant renewable utilisation is achieved but is accompanied by challenges such as overgeneration and energy management complexities.
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Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1016/j.enconman.2025.119972 |
Status: | Published |
Refereed: | Yes |
Publisher: | Elsevier BV |
Additional Information: | © 2025 The Author(s) |
Uncontrolled Keywords: | 0906 Electrical and Electronic Engineering; 0913 Mechanical Engineering; Energy; 4004 Chemical engineering; 4008 Electrical engineering; 4017 Mechanical engineering |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 16 Jun 2025 16:11 |
Last Modified: | 18 Jun 2025 14:56 |
Item Type: | Article |
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