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Technoecological analysis of energy carriers for long‐haul transportation

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  • Sebastian Wolff
  • Michael Fries
  • Markus Lienkamp

Abstract

Long‐haul transportation demand is predicted to increase in the future, resulting in higher carbon dioxide emissions. Different drivetrain technologies, such as hybrid or battery electric vehicles, electrified roads, liquefied natural gas and hydrogen, might offer solutions to this problem. To assess their ecological and economic impact, these concepts were simulated including a weight and cost model to estimate the total cost of ownership. An evolutionary algorithm optimizes each vehicle to find a concept specific optimal solution. A model calculates the minimum investment in infrastructure required to meet the energy demand for each concept. A well‐to‐wheel analysis takes into account upstream and on‐road carbon dioxide emissions, to compare fully electric vehicles with conventional combustion engines. Investment in new infrastructure is the biggest drawback of electrified road concepts, although they offer low CO2 emissions. The diesel hybrid is the best compromise between carbon reduction and costs.

Suggested Citation

  • Sebastian Wolff & Michael Fries & Markus Lienkamp, 2020. "Technoecological analysis of energy carriers for long‐haul transportation," Journal of Industrial Ecology, Yale University, vol. 24(1), pages 165-177, February.
    • Handle: RePEc:bla:inecol:v:24:y:2020:i:1:p:165-177
    DOI: 10.1111/jiec.12937
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    Cited by:

    1. Maximilian Zähringer & Sebastian Wolff & Jakob Schneider & Georg Balke & Markus Lienkamp, 2022. "Time vs. Capacity—The Potential of Optimal Charging Stop Strategies for Battery Electric Trucks," Energies, MDPI, vol. 15(19), pages 1-18, September.

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