4.5 Article

Economic and Environmental Potential of Large-Scale Renewable Synthetic Jet Fuel Production through Integration into a Biomass CHP Plant in Sweden

期刊

ENERGIES
卷 15, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/en15031114

关键词

electrofuel; sustainable aviation fuel; renewable fuel; carbon capture; techno-economic assessment; life cycle assessment

资金

  1. Swedish Energy Agency [48387-1]
  2. SIVL Foundation [3D:09/19, 3D:09/20]
  3. Jaemtkraft Environmental fund

向作者/读者索取更多资源

The potential of integrating bio-electro-jet fuel (BEJF) production into existing biomass-based combined heat and power (CHP) facilities was investigated in this study. Techno-economic and life cycle assessments were performed to evaluate the production cost and environmental impact. The findings highlight the resource-efficient, cost-effective, and environmentally benign nature of BEJF as an alternative for the aviation sector.
The potential of bio-electro-jet fuel (BEJF) production with integration into an existing biomass-based combined heat and power (CHP) facility was investigated. The BEJF is produced via Fischer-Tropsch (F-T) synthesis from biogenic CO2 and H-2 obtained by water electrolysis. Techno-economic (TEA)- and life. cycle (LCA)- assessments were performed to evaluate the production cost and environmental impact of the BEJF production route. The BEJF mass fraction reached 40% of the total F-T crude produced. A reduction of 78% in heating demands was achieved through energy integration, leading to an increase in the thermal efficiency by up to 39%, based on the F-T crude. The total production cost of BEJF was in the range of EUR 1.6-2.5/liter (EUR 169-250/MWh). The GWP of the BEJF was estimated to be 19 g CO2-eq per MJ BEJF. The reduction potential in GWP in contrast to the fossil jet baseline fuel varied from 44% to more than 86%. The findings of this study underline the potential of BEJF as a resource-efficient, cost-effective, and environmentally benign alternative for the aviation sector. The outcome is expected to be applicable to different geographical locations or industrial networks when the identified influencing factors are met.

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