Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass‐based biofuel production
[1];
[2]
- DOE Great Lakes Bioenergy Research Center Michigan State University East Lansing Michigan USA, Department of Chemical Engineering and Materials Science Michigan State University East Lansing Michigan USA
- DOE Great Lakes Bioenergy Research Center Michigan State University East Lansing Michigan USA, Department of Earth and Environmental Science Michigan State University East Lansing Michigan USA, W. K. Kellogg Biological Station Michigan State University Hickory Corners Michigan USA
Abstract 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 (USLCI) database, 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 applications. Sensitivity analyses identify biofuel yield, GHG emissions of electricity, and soil organic carbon (SOC) change as pivotal parameters influencing GWI. Decreasing uncertainties in GWI may be achieved by making greater efforts to acquire more precise data on these parameters. Our study emphasizes the significance of considering diverse GHG factors and databases in GWI assessments and stresses the need for accurate electricity fuel mixes, crucial information for refining GWI assessments and informing strategies for sustainable biofuel production.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- NONE; SC0018409
- OSTI ID:
- 2404593
- Journal Information:
- Global Change Biology. Bioenergy, Journal Name: Global Change Biology. Bioenergy Journal Issue: 8 Vol. 16; ISSN 1757-1693
- Publisher:
- Wiley-BlackwellCopyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
Similar Records
California's harvested wood products: A time-dependent assessment of life cycle greenhouse gas emissions
Whole-building life-cycle analysis with a new GREET® tool: Embodied greenhouse gas emissions and payback period of a LEED-Certified library