Designing a GIS-based supply chain for producing carinata-based sustainable aviation fuel in Georgia, USA

Kazi Masel Ullah; Farhad Hossain Masum; John L. Field; Puneet Dwivedi

doi:10.1002/bbb.2483

Designing a GIS-based supply chain for producing carinata-based sustainable aviation fuel in Georgia, USA

Kazi Masel Ullah, Farhad Hossain Masum, John L. Field, Puneet Dwivedi

Bioresource Science and Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Carinata is a potential crop for sustainable aviation fuel (SAF) production in the southern USA. However, as a novel crop, the cost-effectiveness and environmental feasibility of carinata feedstock are unknown, and there are questions about the optimal supply chain configuration for carinata-based SAF production. This study aims to design a supply chain model for carinata-based SAF production by optimizing the location of farms and facilities (e.g. storage units, crushing mills, biorefineries) for a minimum transportation cost under a set of supply and demand conditions. An integrated mixed-integer linear programming (MILP) model was combined with geographical information system (GIS) analysis to design a spatially explicit supply chain configuration. The GIS-based network analysis considered all of the counties in Georgia to set the candidate locations of carinata farms and facilities, and determined minimum cost and emission routes between those counties and the airport using existing transportation networks and modes (e.g. road, rail and pipeline). The MILP model determined the final selection of the farms and the number of facilities and their locations over those minimum-cost routes. With this supply chain configuration, the minimum price of SAF was $0.92 L⁻¹, which is $0.44 higher than conventional aviation fuel (CAF). The associated carbon intensity of SAF was estimated at 940.7 g CO₂e L⁻¹, a reduction of 66% relative to the carbon intensity of equivalent CAF. The study found that a carbon tax (or subsidy) of $230.48 t CO₂e⁻¹ would be needed to overcome the cost differential with CAF and promote carinata-based SAF in Georgia.

Original language	English
Pages (from-to)	786-802
Number of pages	17
Journal	Biofuels, Bioproducts and Biorefining
Volume	17
Issue number	4
DOIs	https://doi.org/10.1002/bbb.2483
State	Published - Jul 1 2023

Funding

This work was primarily supported by the US Department of Agriculture National Institute of Food and Agriculture through the Southeast Partnership for Advanced Renewables from Carinata (SPARC; award number 2016-11231). We also received support under the Energy Crop-based Carbon Banking Project sponsored by the DOE Bioenergy Technologies Office, as well as through the ORNL Laboratory Directed Research and Development Project number 10681; the Center for Bioenergy Innovation, a US Department of Energy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science (grant number DE-AC05-00OR22725); and USDA/NIFA award number 2017-67019-26327. This work was primarily supported by the US Department of Agriculture National Institute of Food and Agriculture through the Southeast Partnership for Advanced Renewables from Carinata (SPARC; award number 2016‐11231). We also received support under the Energy Crop‐based Carbon Banking Project sponsored by the DOE Bioenergy Technologies Office, as well as through the ORNL Laboratory Directed Research and Development Project number 10681; the Center for Bioenergy Innovation, a US Department of Energy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science (grant number DE‐AC05‐00OR22725); and USDA/NIFA award number 2017‐67019‐26327.

Keywords

bioenergy
carbon abatement cost
climate change
life cycle assessment
network analysis

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10.1002/bbb.2483

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title = "Designing a GIS-based supply chain for producing carinata-based sustainable aviation fuel in Georgia, USA",

abstract = "Carinata is a potential crop for sustainable aviation fuel (SAF) production in the southern USA. However, as a novel crop, the cost-effectiveness and environmental feasibility of carinata feedstock are unknown, and there are questions about the optimal supply chain configuration for carinata-based SAF production. This study aims to design a supply chain model for carinata-based SAF production by optimizing the location of farms and facilities (e.g. storage units, crushing mills, biorefineries) for a minimum transportation cost under a set of supply and demand conditions. An integrated mixed-integer linear programming (MILP) model was combined with geographical information system (GIS) analysis to design a spatially explicit supply chain configuration. The GIS-based network analysis considered all of the counties in Georgia to set the candidate locations of carinata farms and facilities, and determined minimum cost and emission routes between those counties and the airport using existing transportation networks and modes (e.g. road, rail and pipeline). The MILP model determined the final selection of the farms and the number of facilities and their locations over those minimum-cost routes. With this supply chain configuration, the minimum price of SAF was \$0.92 L−1, which is \$0.44 higher than conventional aviation fuel (CAF). The associated carbon intensity of SAF was estimated at 940.7 g CO2e L−1, a reduction of 66\% relative to the carbon intensity of equivalent CAF. The study found that a carbon tax (or subsidy) of \$230.48 t CO2e−1 would be needed to overcome the cost differential with CAF and promote carinata-based SAF in Georgia.",

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AU - Dwivedi, Puneet

N1 - Publisher Copyright: Published 2023. This article is a U.S. Government work and is in the public domain in the USA. Biofuels, Bioproducts and Biorefining published by Society of Industrial Chemistry and John Wiley & Sons Ltd.

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Designing a GIS-based supply chain for producing carinata-based sustainable aviation fuel in Georgia, USA

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