Techno-economic analysis and network design for CO₂ conversion to jet fuels in the United States

Rui Zhou, Mingzhou Jin, Zhenglong Li, Yang Xiao, David McCollum and Alicia Li

Renewable and Sustainable Energy Reviews, 2025, vol. 210, issue C

Abstract: The conversion of carbon dioxide (CO2) into jet fuel holds significant potential for reducing CO2 emissions, providing an alternative to carbon-based resources, and offering a renewable means of energy storage. The objective of this study is to conduct a techno-economic analysis and optimize the supply chain network for converting CO2 to jet fuel in the United States, aiming to minimize total costs while assessing the environmental and economic feasibility of two CO2 conversion pathways. This first pathway is based on Fischer-Tropsch synthesis (FTS), and the other one is based on the valorization and upgrading of light methanol (MeOH). Incorporating spatial and techno-economic data, a mixed-integer linear programming model was developed to select source plants and conversion pathways, locations of conversion refinery sites, and the amount of captured CO2 across the United States. The optimal results indicate that the FTS pathway is adopted at all selected refineries when the hydrogen price is $1000/t and the operating cost, mainly electricity used in conversion, is reduced to 5 % of its current level. Under this scenario, the total annual profit is $8B and the net carbon emissions are −88,783,284 tons. The sensitivity analyses reveal that the prices of electricity and hydrogen significantly contribute to total production costs. The CO2 recycle percentage of the FTS pathway influences the choice of applied pathways at refineries. Additionally, a higher conversion rate holds a substantial promise for reducing the total production cost and can make the MeOH pathway a viable choice.

Keywords: Renewable jet fuel; Supply chain optimization; CO2 reduction; Techno-economic analysis; Life cycle analysis (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.rser.2024.115191

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