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Potential of Using Medium Electric Vehicle Fleet in a Commercial Enterprise Transport in Germany on the Basis of Real-World GPS Data

Author

Listed:
  • Robert Pietracho

    (Institute for Electrical Engineering, University of Applied Science Magdeburg, 39114 Magdeburg, Germany)

  • Christoph Wenge

    (Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Stephan Balischewski

    (Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Pio Lombardi

    (Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Przemyslaw Komarnicki

    (Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany)

  • Leszek Kasprzyk

    (Institute of Electrical Engineering and Electronics, Poznan University of Technology, 60965 Poznan, Poland)

  • Damian Burzyński

    (Institute of Electrical Engineering and Electronics, Poznan University of Technology, 60965 Poznan, Poland)

Abstract

The intensive electrification of the automotive sector means that the energy system must be able to adapt to the current market situation. The increase in energy demand is a major factor associated with electric vehicles. The study analyzed the operation of a grid-connected facility operating a vehicle fleet providing transport services in the region Halle/Saale, Germany. Measurement data were used in the analysis, including global positioning system data of the vehicles and technical data, including average fuel consumption on a given route section, daily load demand of the industrial facility, and energy generation from photovoltaics. This paper shows the impact of using a battery electric vehicles (BEVs) fleet in the load distribution for the industrial facility considered. The NEDC energy consumption profile for the Nissan e-NV200 were used in this study. Furthermore, the paper presented simulation results allowing one to determine the usage potential, energy demand, and consumption of EVs using real data, reliably representing the processes related to EV daily use. The measurement data were captured using available specialized equipment: Dako-Key (GPS data), PV power generation (Siemens 7KM PAC4200), and load (Janitza UMG 604-Pro) in September, 2018. On this basis, it is possible to identify the effects and variations in load on the power grid during the replacement of combustion vehicle fleets used currently by EVs for the provision of transport services. Three models were presented, making it possible to calculate changes in energy demand for each scenario. In the first model, EVs were charged exclusively from the distribution network. In the second, the energy generation from a renewable source was considered and the possibility of compensating the energy demand of the vehicles from this source was demonstrated. In the third model, the daily load profile and the period of maximum load in the electricity grid were considered. The results are presented in graphical and tabular form. Finally, the potential of using an EV fleet to increase the functionality of a modern industry object was determined and discussed. Based on data for the adopted scenarios, electrification of transport can increase demand for energy by 40.9% for individual enterprises. The electrification of the automotive sector will increase the instantaneous energy demand of businesses, forcing the integration of renewable energy sources during designing new invests.

Suggested Citation

  • Robert Pietracho & Christoph Wenge & Stephan Balischewski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk & Damian Burzyński, 2021. "Potential of Using Medium Electric Vehicle Fleet in a Commercial Enterprise Transport in Germany on the Basis of Real-World GPS Data," Energies, MDPI, vol. 14(17), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5327-:d:623238
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    References listed on IDEAS

    as
    1. Drude, Lukas & Pereira Junior, Luiz Carlos & Rüther, Ricardo, 2014. "Photovoltaics (PV) and electric vehicle-to-grid (V2G) strategies for peak demand reduction in urban regions in Brazil in a smart grid environment," Renewable Energy, Elsevier, vol. 68(C), pages 443-451.
    2. 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).
    3. Staudt, Philipp & Schmidt, Marc & Gärttner, Johannes & Weinhardt, Christof, 2018. "A decentralized approach towards resolving transmission grid congestion in Germany using vehicle-to-grid technology," Applied Energy, Elsevier, vol. 230(C), pages 1435-1446.
    4. Martínez-Lao, Juan & Montoya, Francisco G. & Montoya, Maria G. & Manzano-Agugliaro, Francisco, 2017. "Electric vehicles in Spain: An overview of charging systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 970-983.
    5. Cedric De Cauwer & Joeri Van Mierlo & Thierry Coosemans, 2015. "Energy Consumption Prediction for Electric Vehicles Based on Real-World Data," Energies, MDPI, vol. 8(8), pages 1-21, August.
    6. Petit, Martin & Prada, Eric & Sauvant-Moynot, Valérie, 2016. "Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime," Applied Energy, Elsevier, vol. 172(C), pages 398-407.
    7. Riccardo Iacobucci & Raffaele Bruno & Jan-Dirk Schmöcker, 2021. "An Integrated Optimisation-Simulation Framework for Scalable Smart Charging and Relocation of Shared Autonomous Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-22, June.
    8. Niklas Wulff & Felix Steck & Hans Christian Gils & Carsten Hoyer-Klick & Bent van den Adel & John E. Anderson, 2020. "Comparing Power-System and User-Oriented Battery Electric Vehicle Charging Representation and Its Implications on Energy System Modeling," Energies, MDPI, vol. 13(5), pages 1-41, March.
    9. Damian Burzyński & Robert Pietracho & Leszek Kasprzyk & Andrzej Tomczewski, 2019. "Analysis and Modeling of the Wear-Out Process of a Lithium-Nickel-Manganese-Cobalt Cell during Cycling Operation under Constant Load Conditions," Energies, MDPI, vol. 12(20), pages 1-12, October.
    10. Ana María Arbeláez Vélez & Andrius Plepys, 2021. "Car Sharing as a Strategy to Address GHG Emissions in the Transport System: Evaluation of Effects of Car Sharing in Amsterdam," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    11. José M. Cansino & Antonio Sánchez-Braza & Teresa Sanz-Díaz, 2018. "Policy Instruments to Promote Electro-Mobility in the EU28: A Comprehensive Review," Sustainability, MDPI, vol. 10(7), pages 1-27, July.
    12. Ekman, Claus Krog, 2011. "On the synergy between large electric vehicle fleet and high wind penetration – An analysis of the Danish case," Renewable Energy, Elsevier, vol. 36(2), pages 546-553.
    13. D. Flynn & Z. Rather & A. Ardal & S. D'Arco & A.D. Hansen & N.A. Cutululis & P. Sorensen & A. Estanquiero & E. Gómez & N. Menemenlis & C. Smith & Ye Wang, 2017. "Technical impacts of high penetration levels of wind power on power system stability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(2), March.
    14. Le Vine, Scott & Polak, John, 2019. "The impact of free-floating carsharing on car ownership: Early-stage findings from London," Transport Policy, Elsevier, vol. 75(C), pages 119-127.
    15. Becker, Henrik & Ciari, Francesco & Axhausen, Kay W., 2017. "Comparing car-sharing schemes in Switzerland: User groups and usage patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 17-29.
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    1. Robert Pietracho & Christoph Wenge & Przemyslaw Komarnicki & Leszek Kasprzyk, 2022. "Multi-Criterial Assessment of Electric Vehicle Integration into the Commercial Sector—A Case Study," Energies, MDPI, vol. 16(1), pages 1-29, December.

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