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Forecast-driven economic co-transition of renewable-rich urban energy hubs with eco-friendly transport-based storage systems under political–social welfare in future-ready smart cities

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  • Gao, Fang

Abstract

Achieving an urban energy transition that is both economically efficient and socially inclusive remains a previously unresolved challenge, particularly under high renewable penetration and growing electrified mobility. Existing studies have addressed multi-energy hubs and storage integration, yet the coordinated role of transport-based storage under explicit political–social welfare constraints has remained insufficiently established. Here, a forecast-driven economic co-transition framework is developed for renewable-rich urban energy communities, explicitly coupling energy hubs with eco-friendly transport-based storage systems to resolve this limitation. The framework was formulated as a scenario-based mixed-integer linear programming model that co-optimized electricity, gas, heating, and cooling flows under uncertainty while embedding affordability, equity, and mobility justice constraints. Numerical experiments on a benchmark urban system demonstrate that the proposed approach reduces total operational costs by up to 27 percent relative to a conventional hub baseline, increases renewable energy utilization by more than 31 percent, and lowers peak demand by nearly 24 percent through coordinated demand response and storage dispatch. Transport-based storage further reveals a decisive role, with off-peak charging strategies achieving the highest tariff savings and stochastic charging uncovering a robust balance between cost efficiency and reliability under volatility. Sensitivity analysis establishes that renewable availability and storage sizing exert the strongest influence on system cost, while expanded demand response and mobile storage participation consistently mitigate economic risk. These findings demonstrate that integrating transport-based storage with welfare-aware optimization provides a new framework for aligning urban decarbonization.

Suggested Citation

  • Gao, Fang, 2026. "Forecast-driven economic co-transition of renewable-rich urban energy hubs with eco-friendly transport-based storage systems under political–social welfare in future-ready smart cities," Renewable Energy, Elsevier, vol. 269(C).
  • Handle: RePEc:eee:renene:v:269:y:2026:i:c:s0960148126006221
    DOI: 10.1016/j.renene.2026.125796
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    1. Li, Hengyi & Qin, Boyu & Wang, Shihan & Ding, Tao & Liu, Jialing & Wang, Hongzhen, 2025. "Aggregate power flexibility of multi-energy systems supported by dynamic networks," Applied Energy, Elsevier, vol. 377(PB).
    2. Dudka, Aurore, 2025. "A relational approach to prosuming through energy communities: The case of CIREN in France," Energy Policy, Elsevier, vol. 206(C).
    3. Yan, Xingyu & Gao, Ciwei & Francois, Bruno, 2025. "Multi-objective optimization of a virtual power plant with mobile energy storage for a multi-stakeholders energy community," Applied Energy, Elsevier, vol. 386(C).
    4. Giehl, Johannes & Hentschel, Dana & Ciprian, Lucia & Weibezahn, Jens, 2025. "Fueling the future: Optimizing Power-to-X production in renewable energy hubs through flexible operating units," Energy, Elsevier, vol. 333(C).
    5. Cao, Yan & Xu, Yan, 2025. "Secure operation of a multi-energy system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    6. Kumar, Shravan & Kök, Ali & Dalgren, Johan & Thakur, Jagruti & Martin, Viktoria & Gardumi, Francesco, 2025. "Strategic integration of urban excess heat sources in a district heating system: A Spatio-temporal optimisation methodology," Applied Energy, Elsevier, vol. 396(C).
    7. Aghajani, G.R. & Shayanfar, H.A. & Shayeghi, H., 2017. "Demand side management in a smart micro-grid in the presence of renewable generation and demand response," Energy, Elsevier, vol. 126(C), pages 622-637.
    8. Hu, Yuhan & Jin, Yang, 2025. "Energy hubs integrating renewable energy sources and demand response programs for cost-effective operations," Energy, Elsevier, vol. 333(C).
    9. Tangi, Marco & Amaranto, Alessandro, 2025. "Designing integrated and resilient multi-energy systems via multi-objective optimization and scenario analysis," Applied Energy, Elsevier, vol. 382(C).
    10. Lédée, François & Crawford, Curran & Evins, Ralph, 2025. "Improved surrogate modeling for multi-energy system design: Model architecture, sampling and scaling choices," Applied Energy, Elsevier, vol. 390(C).
    11. Hou, Rui & Wu, Minrong & Deng, Guangzhi & Duan, Wenqi & Khayatnezhad, Majid & ghadimi, Noradin, 2025. "Future-powered transportation fleets and mobility in eco-friendly cities: Economic scheduling interactions for integrated energy hubs via micromobility electric vehicles," Energy, Elsevier, vol. 333(C).
    12. Gautier, Axel & Jacqmin, Julien & Poudou, Jean-Christophe, 2025. "The energy community and the grid," Resource and Energy Economics, Elsevier, vol. 82(C).
    13. Terlouw, Tom & Savvakis, Nikolaos & Bauer, Christian & McKenna, Russell & Arampatzis, George, 2025. "Designing multi-energy systems in Mediterranean regions towards energy autonomy," Applied Energy, Elsevier, vol. 377(PB).
    Full references (including those not matched with items on IDEAS)

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