Bio-aviation fuel: A comprehensive review and analysis of the supply chain components

Stephen Doliente, Aravind Narayan, Fred Tapia, Nouri John Samsatli, Yingru Zhao, Sheila Samsatli

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The undeniable environmental ramifications of continued dependence on oil-derived jet fuel have spurred international efforts in the aviation sector toward alternative solutions. Due to the limited options for decarbonization, the successful implementation of bio-aviation fuel is crucial in contributing to the roster of greenhouse gas emissions mitigation strategies for the aviation sector. Since fleet replacement with low-carbon technologies may not be a feasible option, due to the long lifetime and significant capital cost of aircraft, “drop-in” alternatives, which can be used in the engines of existing aircraft in a seamless transition, may be required. This paper presents a detailed analysis of the supply chain components of bio-aviation fuel provision: feedstocks, production pathways, storage, and transport. The economic and environmental performance of different potential bio-feedstocks and technologies are investigated and compared in order to make recommendations on short- and long-term strategies that could be employed internationally. Hydroprocessed esters and fatty acids production pathway, utilizing second-generation oil-seed crops and waste oils, could be an effective immediate solution with the potential for substantial greenhouse gas emissions savings. Microalgal oil could potentially offer far greater yields of bio-aviation fuel and reductions in greenhouse gas emissions, but the technology for large-scale algae cultivation is inadequately mature at present. Fischer-Tropsch production pathway using lignocellulosic biomass has the potential for the highest greenhouse gas emissions savings, which could potentially be the solution within the medium- to long-term plans of the aviation industry, but further research and optimization are required prior to its large-scale implementation due to its limited technological maturity and high capital costs. In practice, the “ideal” feedstocks and technologies of the supply chains are heavily dependent on spatial and temporal criteria. Moreover, many of the parameters investigated are interlinked to each other and the measures that are effective in greenhouse gases emissions reduction are largely associated with increased cost. Hence, policies must be streamlined across the supply chain components that could help in the cost-effective and sustainable deployment of bio-aviation fuel.

Original languageEnglish
Article number110
Pages (from-to)110
JournalFrontiers in Energy Research
Publication statusPublished - 10 Jul 2020

Bibliographical note

Funding Information:
The authors would like to thank the main funding sponsors of this project: the Newton Fund, the Engineering and Physical Sciences Research Council and the Science and Technology Facilities Council ODA Institutional Award. The financial support from the British Council Philippines and Commission of Higher Education under the Office of the President, Republic of the Philippines through SD's PhD scholarship is also gratefully acknowledged. Funding. The Newton Fund and Engineering and Physical Sciences Research Council through the Biomass and the Environment-Food-Energy-Water Nexus Project (Grant No. EP/P018165/1). The CHED-Newton Agham PhD Scholarship grant under the Newton Fund Project and CHED K-12 Transition Programme by the British Council Philippines (Application ID: 333426643) and the Commission of Higher Education under the Office of the President, Republic of the Philippines (Scholar No.: BC-17-009).

Publisher Copyright:
© Copyright © 2020 Doliente, Narayan, Tapia, Samsatli, Zhao and Samsatli.


  • bio-aviation fuel
  • energy crops
  • microalgae
  • production pathways
  • storage and transport
  • supply chains
  • sustainable feedstocks
  • waste biomass

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Economics and Econometrics


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