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An intelligent green vehicle management system for urban food reliably delivery:A case study of Shanghai, China

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  • Fu, Zhengtang
  • Dong, Peiwu
  • Ju, Yanbing
  • Gan, Zhenkun
  • Zhu, Min

Abstract

Efficient and trustable food delivery systems have a great impact on our daily life. Considering environmental protection, Electric Cold-chain Vehicle (ECV) has been adopted to support the food delivery system in urban area. However, the drivers of ECV has the motivation to power off the refrigerator for saving electricity, which would lead to the food safety issue. Driven by this, we proposed a novel blockchain-based Electric Cold-chain Delivery System (BECDS) and concentrated on the EV charging and scheduling problem in the distribution network. In terms of methodology innovation, the Dynamic charging and service schedule model (DCSSM) is proposed based on the multi-agent-based simulation. Meanwhile, Internet of Things (IOT) devices are used to monitor the environment data of food, which would be recorded in the blockchain. Furthermore, this paper carries out numerical experiments to verify the feasibility of this system via realistic data. Interestingly, the result shows that the new cold-chain delivery system could serve retailers more efficiently with zero emissions. Hence, this paper could broaden and defined a promising green and digital urban food delivery prototype in the future.

Suggested Citation

  • Fu, Zhengtang & Dong, Peiwu & Ju, Yanbing & Gan, Zhenkun & Zhu, Min, 2022. "An intelligent green vehicle management system for urban food reliably delivery:A case study of Shanghai, China," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222015456
    DOI: 10.1016/j.energy.2022.124642
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    as
    1. Zhang, Jin & Wang, Zhenpo & Liu, Peng & Zhang, Zhaosheng, 2020. "Energy consumption analysis and prediction of electric vehicles based on real-world driving data," Applied Energy, Elsevier, vol. 275(C).
    2. Yuan, Xinmei & Zhang, Chuanpu & Hong, Guokai & Huang, Xueqi & Li, Lili, 2017. "Method for evaluating the real-world driving energy consumptions of electric vehicles," Energy, Elsevier, vol. 141(C), pages 1955-1968.
    3. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2019. "The electric vehicle routing problem with energy consumption uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 225-255.
    4. Bryden, Thomas S. & Hilton, George & Cruden, Andrew & Holton, Tim, 2018. "Electric vehicle fast charging station usage and power requirements," Energy, Elsevier, vol. 152(C), pages 322-332.
    5. Lin, Haiyang & Fu, Kun & Wang, Yu & Sun, Qie & Li, Hailong & Hu, Yukun & Sun, Bo & Wennersten, Ronald, 2019. "Characteristics of electric vehicle charging demand at multiple types of location - Application of an agent-based trip chain model," Energy, Elsevier, vol. 188(C).
    6. Li, Zhenhe & Khajepour, Amir & Song, Jinchun, 2019. "A comprehensive review of the key technologies for pure electric vehicles," Energy, Elsevier, vol. 182(C), pages 824-839.
    7. Yang, Chao & Du, Siyu & Li, Liang & You, Sixong & Yang, Yiyong & Zhao, Yue, 2017. "Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 203(C), pages 883-896.
    8. Lee, Jei Young, 2019. "A decentralized token economy: How blockchain and cryptocurrency can revolutionize business," Business Horizons, Elsevier, vol. 62(6), pages 773-784.
    9. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    10. Pagani, M. & Korosec, W. & Chokani, N. & Abhari, R.S., 2019. "User behaviour and electric vehicle charging infrastructure: An agent-based model assessment," Applied Energy, Elsevier, vol. 254(C).
    11. Hiermann, Gerhard & Hartl, Richard F. & Puchinger, Jakob & Vidal, Thibaut, 2019. "Routing a mix of conventional, plug-in hybrid, and electric vehicles," European Journal of Operational Research, Elsevier, vol. 272(1), pages 235-248.
    12. Li, Yinan & Yang, Wentao & He, Ping & Chen, Chang & Wang, Xiaonan, 2019. "Design and management of a distributed hybrid energy system through smart contract and blockchain," Applied Energy, Elsevier, vol. 248(C), pages 390-405.
    13. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2020. "A blockchain based peer-to-peer trading framework integrating energy and carbon markets," Applied Energy, Elsevier, vol. 279(C).
    14. Taefi, Tessa T. & Kreutzfeldt, Jochen & Held, Tobias & Fink, Andreas, 2016. "Supporting the adoption of electric vehicles in urban road freight transport – A multi-criteria analysis of policy measures in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 61-79.
    15. Xydas, Erotokritos & Marmaras, Charalampos & Cipcigan, Liana M., 2016. "A multi-agent based scheduling algorithm for adaptive electric vehicles charging," Applied Energy, Elsevier, vol. 177(C), pages 354-365.
    16. Elma, Onur, 2020. "A dynamic charging strategy with hybrid fast charging station for electric vehicles," Energy, Elsevier, vol. 202(C).
    17. Morkunas, Vida J. & Paschen, Jeannette & Boon, Edward, 2019. "How blockchain technologies impact your business model," Business Horizons, Elsevier, vol. 62(3), pages 295-306.
    18. Li, Yu-Chu M. & Chen, Yen-Hong A., 2016. "Assessing the thermal performance of three cold energy storage materials with low eutectic temperature for food cold chain," Energy, Elsevier, vol. 115(P1), pages 238-256.
    19. Wu, Wentao & Beretta, Claudio & Cronje, Paul & Hellweg, Stefanie & Defraeye, Thijs, 2019. "Environmental trade-offs in fresh-fruit cold chains by combining virtual cold chains with life cycle assessment," Applied Energy, Elsevier, vol. 254(C).
    20. Hiermann, Gerhard & Puchinger, Jakob & Ropke, Stefan & Hartl, Richard F., 2016. "The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations," European Journal of Operational Research, Elsevier, vol. 252(3), pages 995-1018.
    21. Frizzo-Barker, Julie & Chow-White, Peter A. & Adams, Philippa R. & Mentanko, Jennifer & Ha, Dung & Green, Sandy, 2020. "Blockchain as a disruptive technology for business: A systematic review," International Journal of Information Management, Elsevier, vol. 51(C).
    22. Rodrigues, João L. & Bolognesi, Hugo M. & Melo, Joel D. & Heymann, Fabian & Soares, F.J., 2019. "Spatiotemporal model for estimating electric vehicles adopters," Energy, Elsevier, vol. 183(C), pages 788-802.
    23. Noor, Sana & Yang, Wentao & Guo, Miao & van Dam, Koen H. & Wang, Xiaonan, 2018. "Energy Demand Side Management within micro-grid networks enhanced by blockchain," Applied Energy, Elsevier, vol. 228(C), pages 1385-1398.
    24. Chung, Yu-Wei & Khaki, Behnam & Li, Tianyi & Chu, Chicheng & Gadh, Rajit, 2019. "Ensemble machine learning-based algorithm for electric vehicle user behavior prediction," Applied Energy, Elsevier, vol. 254(C).
    25. Behnke, Kay & Janssen, M.F.W.H.A., 2020. "Boundary conditions for traceability in food supply chains using blockchain technology," International Journal of Information Management, Elsevier, vol. 52(C).
    26. Cortés-Murcia, David L. & Prodhon, Caroline & Murat Afsar, H., 2019. "The electric vehicle routing problem with time windows, partial recharges and satellite customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 184-206.
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    1. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).

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