Global modelling of hydrogen penetration: Fuel cell vehicles and infrastructure in a carbon constrained future

Andrew Chapman, Hadi Farabi-Asl, DInh Hoa Nguyen, Kenshi Itaoka

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This research details a global model for the estimation of future hydrogen penetration into the carbon constrained energy system out to 2050. Results show that approximately 2.2% of global energy consumption needs can be met by 2050, with significant contributions in the city gas network and transportation sector. Notably, passenger FCVs dominate the transportation sector contribution, leading to a global deployment of over 100 million FCVs by 2050 across North America, Western Europe, South East Asia, China and Japan. Hydrogen production is focused in non- OECD nations, and derived mainly from fossil fuels. As a result, CCS has a strong role to play in the future energy system in order to underpin the deployment of a significant fleet of FCVs. Policy issues identified include the need for significant additional investment in the energy system and technological progress in renewables and electrolyzers to realize a shift away from a fossil fuel dominated hydrogen economy.

    Original languageEnglish
    Title of host publication2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728112497
    DOIs
    Publication statusPublished - Oct 2019
    Event2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam
    Duration: Oct 14 2019Oct 17 2019

    Publication series

    Name2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

    Conference

    Conference2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
    CountryViet Nam
    CityHanoi
    Period10/14/1910/17/19

    All Science Journal Classification (ASJC) codes

    • Control and Optimization
    • Modelling and Simulation
    • Artificial Intelligence
    • Transportation
    • Energy Engineering and Power Technology
    • Fuel Technology
    • Automotive Engineering
    • Electrical and Electronic Engineering

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