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Technoecological analysis of energy carriers for long-haul transportation

  • Technical University of Munich

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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.

Original languageEnglish
Pages (from-to)165-177
Number of pages13
JournalJournal of Industrial Ecology
Volume24
Issue number1
DOIs
StatePublished - 1 Feb 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • GHG Emissions
  • industrial ecology
  • infrastructure
  • long-haul transportation
  • vehicle simulation
  • well to wheel

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