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What is the market potential of electric vehicles as commercial passenger cars? A case study from Germany

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  • Gnann, Till
  • Plötz, Patrick
  • Funke, Simon
  • Wietschel, Martin

Abstract

Commercial passenger cars are often discussed as an early market segment for plug-in electric vehicles (EVs). Compared to private vehicles, the commercial vehicle segment is characterized by higher vehicle kilometers travelled and a higher share of vehicle sales in Germany. Studies which consider commercial passenger EVs less important than private ones often use driving data with an observation period of only one day. Here, we calculate the market potential of EVs for the German commercial passenger car sector by determining the technical and economic potential in 2020 for multiday driving profiles to be operated as EV.We find that commercial vehicles are better suited for EVs than private ones because of the regularity of their driving. About 87% of analysed vehicles could technically be operated as battery electric vehicles (BEVs) while plug-in hybrid electric vehicles (PHEVs) could obtain an electric driving share of 60% on average. In moderate energy price scenarios EVs can reach a market share of 4% in the German commercial passenger car market by 2020 while especially the large commercial branches are important. However, our analysis shows a high sensitivity of results to energy and battery prices as well as electric consumptions.

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  • Gnann, Till & Plötz, Patrick & Funke, Simon & Wietschel, Martin, 2014. "What is the market potential of electric vehicles as commercial passenger cars? A case study from Germany," Working Papers "Sustainability and Innovation" S14/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    • Handle: RePEc:zbw:fisisi:s142014
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    1. Golob, Thomas F. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S., 1997. "Commercial fleet demand for alternative-fuel vehicles in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 219-233, May.
    2. Mueller, Michel G. & de Haan, Peter, 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part I: Model structure, simulation of bounded rationality, and model validation," Energy Policy, Elsevier, vol. 37(3), pages 1072-1082, March.
    3. Plötz, Patrick & Gnann, Till & Wietschel, Martin, 2014. "Modelling market diffusion of electric vehicles with real world driving data — Part I: Model structure and validation," Ecological Economics, Elsevier, vol. 107(C), pages 411-421.
    4. Nesbitt, Kevin & Sperling, Daniel, 2001. "Fleet Purchase Behavior: Decision Processes and Implications for New Vehicle Technologies and Fuels," Institute of Transportation Studies, Working Paper Series qt15k63162, Institute of Transportation Studies, UC Davis.
    5. Carlo V. Fiorio, 2004. "Confidence intervals for kernel density estimation," Stata Journal, StataCorp LP, vol. 4(2), pages 168-179, June.
    6. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    7. de Haan, Peter & Mueller, Michel G. & Scholz, Roland W., 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part II: Forecasting effects of feebates based on energy-efficiency," Energy Policy, Elsevier, vol. 37(3), pages 1083-1094, March.
    8. Plötz, Patrick & Gnann, Till & Wietschel, Martin, 2014. "Modelling market diffusion of electric vehicles with real world driving data. Part I: Model structure and validation," Working Papers "Sustainability and Innovation" S4/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    9. Ruan, Minyan & Lin, Jie (Jane) & Kawamura, Kazuya, 2012. "Modeling urban commercial vehicle daily tour chaining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1169-1184.
    10. Kihm, Alexander & Trommer, Stefan, 2014. "The new car market for electric vehicles and the potential for fuel substitution," Energy Policy, Elsevier, vol. 73(C), pages 147-157.
    11. Thiel, Christian & Perujo, Adolfo & Mercier, Arnaud, 2010. "Cost and CO2 aspects of future vehicle options in Europe under new energy policy scenarios," Energy Policy, Elsevier, vol. 38(11), pages 7142-7151, November.
    12. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
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