Economic optimization for a dual‐feedstock lignocellulosic‐based sustainable biofuel supply chain considering greenhouse gas emission and soil carbon stock

Environmental factors, including greenhouse gas (GHG) emissions and soil organic carbon (SOC), should be considered when building a sustainable biofuel supply chain. This work developed three-step optimization approach integrating geographical information system-based mixed-integer linear programming model to economically optimize the chain on premise of meeting certain GHG emission criteria. The biomass grid cell was first, based maximum level emissions, prior economic optimization. simultaneously dual-feedstock sourcing, selection between distributed centralized configurations, impact maintaining SOC balance in agricultural availability. applicability modeling demonstrated through case study that optimized renewable jet fuel via gasification-Fischer–Tropsch (gasification-FT) conversion pathway 2050 under three availability scenarios. results show differences procurement costs energy crops residues have large layout supply-chain configuration tends more with large-scale biorefineries region has an intensive distribution resources. cost-supply curves technical potential biofuels could obtained at cost. Additionally, sensitivity analysis shows credit from producing extra electricity during gasification-FT process will significantly reduced rising share generation future. © 2022 Authors. Biofuels, Bioproducts Biorefining published by Society Industrial Chemistry John Wiley & Sons Ltd.