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Sustainable charging schedule of electric buses in a University Campus: A rolling horizon approach

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  • Zaneti, Letícia A.L.
  • Arias, Nataly Bañol
  • de Almeida, Madson C.
  • Rider, Marcos J.

Abstract

The new juncture of concerns about climate change and finite energy resources has been changing products and processes toward a path of preserving the environment and energy efficiency. Electric mobility along with sustainable charging stations constitutes one way to reduce environmental impacts. However, the coordination of energy resources triggers several challenges that require proper energy management strategies. This work proposes an optimization model to minimize the operational costs of a sustainable charging station (CS) under different charging types for an electric bus, as part of an electric mobility living lab in the public transport system of the University of Campinas (Unicamp, Brazil). The problem is solved using a dynamic approach based on a rolling horizon method that uses as input real data obtained from installed photovoltaic panels and from the operation of an electric bus circulating at Unicamp facilities. The results show that the charging schedule defined by the optimization model is cost effective, reducing the monthly cost by 52% when compared with the actual charging schedule carried out on campus. Furthermore, the inclusion of photovoltaic panels results in a significant reduction in operational costs, which can be enhanced by the inclusion of a battery energy storage system. The results also demonstrate that the operational costs of the CS are not only linked to technical issues, but also to regulatory issues. Then, the proposed optimization model is a flexible tool that allows for the analysis of different charging schedules and the operation of a fleet of electric buses via sustainable charging stations.

Suggested Citation

  • Zaneti, Letícia A.L. & Arias, Nataly Bañol & de Almeida, Madson C. & Rider, Marcos J., 2022. "Sustainable charging schedule of electric buses in a University Campus: A rolling horizon approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122001964
    DOI: 10.1016/j.rser.2022.112276
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    References listed on IDEAS

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    Cited by:

    1. Zheng, Yanchong & Wang, Yubin & Yang, Qiang, 2023. "Two-phase operation for coordinated charging of electric vehicles in a market environment: From electric vehicle aggregators’ perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    3. Zhou, Yuekuan & Liu, Xiaohua & Zhao, Qianchuan, 2024. "A stochastic vehicle schedule model for demand response and grid flexibility in a renewable-building-e-transportation-microgrid," Renewable Energy, Elsevier, vol. 221(C).
    4. Amad Ali & Hafiz Abdul Muqeet & Tahir Khan & Asif Hussain & Muhammad Waseem & Kamran Ali Khan Niazi, 2023. "IoT-Enabled Campus Prosumer Microgrid Energy Management, Architecture, Storage Technologies, and Simulation Tools: A Comprehensive Study," Energies, MDPI, vol. 16(4), pages 1-19, February.
    5. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2023. "Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation," Renewable Energy, Elsevier, vol. 219(P1).
    6. He, Yi & Liu, Zhaocai & Zhang, Yiming & Song, Ziqi, 2023. "Time-dependent electric bus and charging station deployment problem," Energy, Elsevier, vol. 282(C).
    7. Lim, Lek Keng & Muis, Zarina Ab & Ho, Wai Shin & Hashim, Haslenda & Bong, Cassendra Phun Chien, 2023. "Review of the energy forecasting and scheduling model for electric buses," Energy, Elsevier, vol. 263(PD).

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