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Improved energy supply for non-road electric vehicles by occasional charging station location modelling

Author

Listed:
  • Fekete, Patrick
  • Lim, Sirirat
  • Martin, Steve
  • Kuhn, Katja
  • Wright, Nick

Abstract

Electric mobility has significantly changed perspectives in the mobility sector. Major challenges require the efficient design of systems energy consumption and supply, so that developments focus on battery related improvements such as charging infrastructure integration, recharge process optimisation, battery technology and cost reductions. The concept of occasional recharging is to provide additional usable battery energy to the system without additional disturbance of processes, while using existing process sequences and process interruptions in optimised infrastructure allocations.

Suggested Citation

  • Fekete, Patrick & Lim, Sirirat & Martin, Steve & Kuhn, Katja & Wright, Nick, 2016. "Improved energy supply for non-road electric vehicles by occasional charging station location modelling," Energy, Elsevier, vol. 114(C), pages 1033-1040.
  • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:1033-1040
    DOI: 10.1016/j.energy.2016.08.061
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    References listed on IDEAS

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    2. Yongjun Ahn & Hwasoo Yeo, 2015. "An Analytical Planning Model to Estimate the Optimal Density of Charging Stations for Electric Vehicles," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-26, November.
    3. Kleine-Möllhoff, Peter & Benad, Holger & Beilard, Frank & Esmail, Mohammed & Knöll, Martina, 2012. "Die Batterie als Schlüsseltechnologie für die Elektromobilität der Zukunft: Herausforderungen - Potenziale - Ausblick," Reutlingen Working Papers on Marketing & Management 2012-03, Reutlingen University, ESB Business School.
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    Citations

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    Cited by:

    1. Mansur Arief & Yan Akhra & Iwan Vanany, 2023. "A Robust and Efficient Optimization Model for Electric Vehicle Charging Stations in Developing Countries under Electricity Uncertainty," Papers 2307.05470, arXiv.org.
    2. Vulfovich, A. & Kolesnik, S. & Baimel, D. & Gutman, M. & Geftler, A. & Kuperman, A., 2022. "Output characteristics modeling and experimental verification of secondary-uncompensated inductive power delivery link operating without feedback," Energy, Elsevier, vol. 252(C).
    3. Xiangyu Luo & Rui Qiu, 2020. "Electric Vehicle Charging Station Location towards Sustainable Cities," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
    4. Raffaele Carli & Mariagrazia Dotoli & Salvatore Digiesi & Francesco Facchini & Giorgio Mossa, 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    5. Darhovsky, Yegal & Mellincovsky, Martin & Baimel, Dmitry & Kuperman, Alon, 2021. "A novel contactless, feedbackless and sensorless power delivery link to electromagnetic levitation melting system residing in sealed compartment," Energy, Elsevier, vol. 231(C).
    6. Ahmad Ebrahimi & Hyun-woo Jeon & Sang-yeop Jung, 2023. "Improving Energy Consumption and Order Tardiness in Picker-to-Part Warehouses with Electric Forklifts: A Comparison of Four Evolutionary Algorithms," Sustainability, MDPI, vol. 15(13), pages 1-28, July.
    7. Davidov, Sreten & Pantoš, Miloš, 2017. "Planning of electric vehicle infrastructure based on charging reliability and quality of service," Energy, Elsevier, vol. 118(C), pages 1156-1167.

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    More about this item

    Keywords

    Energy efficiency; Optimised charging station allocation; Maximal covering location modelling; Process monitoring; Energy monitoring; Simulation; Material handling;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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