Greenhouse Gas Accounting Procedures in Low Carbon Fuel Policies Lead to Undervalued Benefits of Miscanthus-based Sustainable Aviation Fuel

12 November 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Low carbon fuel policies such as the U.S. Renewable Fuel Standard (RFS), Canada Clean Fuel Regulations (CFR), and California Low Carbon Fuel Standard (LCFS) are intended to reduce the greenhouse gas (GHG) emissions from transportation. Cellulosic feedstocks, optimized biorefineries, and favorable farming locations can significantly reduce biofuel carbon intensity (CI). Despite the emergence of field-to-fuel GHG monitoring technologies that could verify such benefits, programmatic constraints in CI accounting procedures may limit fuel producers’ ability to capitalize on these opportunities. To elucidate the implications of this challenge, this work examines a miscanthus-to-sustainable aviation fuel (SAF) pathway (i) to demonstrate how program provisions drive estimates of biofuel CIs and (ii) to explore potential CI and financial benefits of spatially explicit life cycle assessment (LCA). In comparing policy-based vs. spatially explicit CI scores (estimated via DayCent and BioSTEAM) for SAF production from miscanthus via alcohol-to-jet (ATJ), programmatic CI accounting requirements underestimated GHG benefits in 60-99% of simulated scenarios. These underestimates result in policy-induced SAF price differentials of -1.19 [(-)3.46 to (-)0.23], -0.07 [(-)1.06 to (+)0.37], and -0.48 [(-)2.46 to (+)0.16] $·L-1 for the RFS, CFR, and LCFS, respectively. Ultimately, this work demonstrates the importance of LCA methodological specifications in low carbon fuel policies.

Keywords

sustainable aviation fuel (SAF)
ethanol-to-jet (ETJ)
alcohol-to-jet (ATJ)
life cycle assessment (LCA)
techno-economic analysis (TEA)
cellulosic biofuel
measurement monitoring reporting and verification (MMRV)

Supplementary materials

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Supporting Information
Description
Detailed policy-specific CI calculations, description of input parameter distributions and sensitivity analysis results, description of low carbon fuel program credit prices, expanded TEA results.
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