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Optimal control of solar-powered electric bus networks with improved renewable energy on-site consumption and reduced grid dependence

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  • Ren, Haoshan
  • Ma, Zhenjun
  • Fai Norman Tse, Chung
  • Sun, Yongjun

Abstract

Developing solar-powered electric bus networks in high-density cities can greatly mitigate their increasing energy and environmental challenges such as carbon emission, street-level air pollution, and renewable penetration to the power grid. However, such solar-powered electric bus networks face a charging control issue that is caused by the severe and frequent mismatch between PV power generation and bus charging demand. Without proper consideration of this mismatch, renewable energy generation cannot be effectively utilized, and heavy grid dependence (i.e., energy exports/imports to/from power grids as solar power surplus/insufficient) will still exist. Meanwhile, the electric bus network charging issue is a complex constraint-based and high-dimensional control problem that requires holistically coordinating charging operations of a large number of electric buses (i.e., when and at which terminus to charge) while satisfying various constraints (e.g., bus schedule, bus battery capacity and charging power limits, limited charging stations in a terminus). Existing charging control methods of solar-powered electric vehicles may not be applicable for this problem. To address this knowledge gap, this study proposed a mixed-integer-linear-programming-based control strategy for solar-powered electric bus networks with improved renewable energy on-site consumption and reduced grid dependence. A case study of a bus network with reference to 10 real bus terminuses in Hong Kong was used to validate the performance of the proposed control in comparison to a rule-based one (i.e., first-come-first-served [FCFS]). The results showed that the proposed control can significantly improve the renewable energy on-site consumption ratio from 0.457 to 0.813, while the grid dependence indicator was reduced from 0.809 to 0.451. The in-depth analysis showed that the proposed control can realize both temporal and spatial demand shifting which mainly contributes to the performance improvements. The results also revealed to achieve the same performance of the proposed control, the FCFS control requires installing a large-sized battery storage system, i.e., 45-MWh. The proposed control can be used to facilitate the development of solar-powered electric bus networks in high-density cities, thereby alleviating associated carbon emissions and air pollution.

Suggested Citation

  • Ren, Haoshan & Ma, Zhenjun & Fai Norman Tse, Chung & Sun, Yongjun, 2022. "Optimal control of solar-powered electric bus networks with improved renewable energy on-site consumption and reduced grid dependence," Applied Energy, Elsevier, vol. 323(C).
    • Handle: RePEc:eee:appene:v:323:y:2022:i:c:s0306261922009448
    DOI: 10.1016/j.apenergy.2022.119643
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    1. Sivaneasan, Balakrishnan & Kandasamy, Nandha Kumar & Lim, May Lin & Goh, Kwang Ping, 2018. "A new demand response algorithm for solar PV intermittency management," Applied Energy, Elsevier, vol. 218(C), pages 36-45.
    2. Ioakimidis, Christos S. & Thomas, Dimitrios & Rycerski, Pawel & Genikomsakis, Konstantinos N., 2018. "Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot," Energy, Elsevier, vol. 148(C), pages 148-158.
    3. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    4. Marta Victoria & Kun Zhu & Tom Brown & Gorm B. Andresen & Martin Greiner, 2020. "Early decarbonisation of the European energy system pays off," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    5. de Oliveira e Silva, Guilherme & Hendrick, Patrick, 2016. "Lead–acid batteries coupled with photovoltaics for increased electricity self-sufficiency in households," Applied Energy, Elsevier, vol. 178(C), pages 856-867.
    6. Buonomano, A. & Calise, F. & Cappiello, F.L. & Palombo, A. & Vicidomini, M., 2019. "Dynamic analysis of the integration of electric vehicles in efficient buildings fed by renewables," Applied Energy, Elsevier, vol. 245(C), pages 31-50.
    7. Zhang, Yelin & Zhang, Xingxing & Huang, Pei & Sun, Yongjun, 2020. "Global sensitivity analysis for key parameters identification of net-zero energy buildings for grid interaction optimization," Applied Energy, Elsevier, vol. 279(C).
    8. Fretzen, Ulrich & Ansarin, Mohammad & Brandt, Tobias, 2021. "Temporal city-scale matching of solar photovoltaic generation and electric vehicle charging," Applied Energy, Elsevier, vol. 282(PA).
    9. Brito, M.C. & Freitas, S. & Guimarães, S. & Catita, C. & Redweik, P., 2017. "The importance of facades for the solar PV potential of a Mediterranean city using LiDAR data," Renewable Energy, Elsevier, vol. 111(C), pages 85-94.
    10. Florian Knobloch & Steef V. Hanssen & Aileen Lam & Hector Pollitt & Pablo Salas & Unnada Chewpreecha & Mark A. J. Huijbregts & Jean-Francois Mercure, 2020. "Net emission reductions from electric cars and heat pumps in 59 world regions over time," Nature Sustainability, Nature, vol. 3(6), pages 437-447, June.
    11. Pinto, Giuseppe & Kathirgamanathan, Anjukan & Mangina, Eleni & Finn, Donal P. & Capozzoli, Alfonso, 2022. "Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures," Applied Energy, Elsevier, vol. 310(C).
    12. Munankarmi, Prateek & Maguire, Jeff & Balamurugan, Sivasathya Pradha & Blonsky, Michael & Roberts, David & Jin, Xin, 2021. "Community-scale interaction of energy efficiency and demand flexibility in residential buildings," Applied Energy, Elsevier, vol. 298(C).
    13. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    14. Ren, Haoshan & Xu, Chengliang & Ma, Zhenjun & Sun, Yongjun, 2022. "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," Applied Energy, Elsevier, vol. 306(PA).
    15. Bellocchi, Sara & Klöckner, Kai & Manno, Michele & Noussan, Michel & Vellini, Michela, 2019. "On the role of electric vehicles towards low-carbon energy systems: Italy and Germany in comparison," Applied Energy, Elsevier, vol. 255(C).
    16. Bhatti, Abdul Rauf & Salam, Zainal, 2018. "A rule-based energy management scheme for uninterrupted electric vehicles charging at constant price using photovoltaic-grid system," Renewable Energy, Elsevier, vol. 125(C), pages 384-400.
    17. Miles, John & Potter, Stephen, 2014. "Developing a viable electric bus service: The Milton Keynes demonstration project," Research in Transportation Economics, Elsevier, vol. 48(C), pages 357-363.
    18. Zhou, Boya & Wu, Ye & Zhou, Bin & Wang, Renjie & Ke, Wenwei & Zhang, Shaojun & Hao, Jiming, 2016. "Real-world performance of battery electric buses and their life-cycle benefits with respect to energy consumption and carbon dioxide emissions," Energy, Elsevier, vol. 96(C), pages 603-613.
    19. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
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