Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass-based biofuel production

This study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production in Michigan. Using three life cycle assessment (LCA) databases— US lifecycle inventory database (USLCI), GREET, and Ecoinvent—each with multiple versions, we recalculated the global warming intensity (GWI) and GHG mitigation potential in a static calculation. Employing Monte Carlo simulations along with local and global sensitivity analyses, we assess uncertainties and pinpoint key parameters influencing GWI. The convergence of results across our previous study, static calculations, and Monte Carlo simulations enhances the credibility of estimated GWI values. Static calculations, validated by Monte Carlo simulations, offer reasonable central tendencies, providing a robust foundation for policy considerations. However, the wider range observed in Monte Carlo simulations underscores the importance of potential variations and uncertainties in real-world application..., , , # Uncertainties in Greenhouse Gas Emission Factors: A Comprehensive Analysis of Switchgrass-Based Biofuel Production

[https://doi.org/10.5061/dryad.rn8pk0pm8](https://doi.org/10.5061/dryad.rn8pk0pm8)

## Description of the Data and file structure

Monte Carlo results.xlsx

The Monte Carlo results.xlsx file contains comprehensive data derived from Monte Carlo simulations and distribution functions used for GHG emission factors and input parameters. The file is organized into two primary sheets:

Sheet 1: \"Monte Carlo Simulation\"

This sheet presents the results of the Monte Carlo simulations.

Sheet 2: \"Distribution\"

This sheet includes the distribution functions used for GHG emission factors and input parameters.