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Generalized methodology for the optimization of biomass-green hydrogen-based e-fuel system

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  • Cui, Ziyuan
  • Wu, Yan
  • Chen, Shengbin
  • Bian, Siying
  • Tang, Shuo
  • Wang, Yufei
  • Xu, Chunming

Abstract

As global climate change intensifies, the transportation sector is facing an urgent task of reducing carbon emissions, which requires significant development of e-fuel systems powered by renewable energy. In this work, four power-to-fuel technology pathways are proposed for e-fuel systems, including green ammonia, green methanol, bio-based methanol (Bio-methanol), and bio-based sustainable aviation fuel (Bio-SAF). A generalized methodology is proposed that enables the optimization of the capacity configuration and scheduling scheme of the whole e-fuel system. A real case study is applied to validate the effectiveness and superiority of the methodology, and a comprehensive sensitivity analysis is performed for several practical engineering parameters of the Bio-SAF optimal solution. The results demonstrate that (1) the economics of the four e-fuel systems are Bio-SAF > Bio-methanol > green ammonia > green methanol, but the introduction of biomass increases the minimum load of the production unit, and (2) the ratio of off-grid electricity impacts the system the most. This work is capable of providing theoretical guidance for both policy formulation and the construction and operation of real projects.

Suggested Citation

  • Cui, Ziyuan & Wu, Yan & Chen, Shengbin & Bian, Siying & Tang, Shuo & Wang, Yufei & Xu, Chunming, 2025. "Generalized methodology for the optimization of biomass-green hydrogen-based e-fuel system," Applied Energy, Elsevier, vol. 378(PA).
    • Handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924022025
    DOI: 10.1016/j.apenergy.2024.124819
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