Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production

Kim, Seungdo

doi:10.5061/dryad.rn8pk0pm8

Title: Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production

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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 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.

Authors:

Kim, Seungdo

GLBRC - Michigan State University

Publication Date:: Tue Jul 16 04:00:00 UTC 2024

DOE Contract Number:: SC0018409

Research Org.:: Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject::  greenhouse ga emmission; model; switchgrass

OSTI Identifier:: 3003599

DOI:: https://doi.org/10.5061/dryad.rn8pk0pm8

Citation Formats


                    Kim, Seungdo. Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production.  United States: N. p., 2024. 
        Web.  doi:10.5061/dryad.rn8pk0pm8.

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                    Kim, Seungdo. Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production.  United States.  doi:https://doi.org/10.5061/dryad.rn8pk0pm8

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                    Kim, Seungdo. 2024.  
"Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production".  United States.  doi:https://doi.org/10.5061/dryad.rn8pk0pm8.  https://www.osti.gov/servlets/purl/3003599. Pub date:Tue Jul 16 04:00:00 UTC 2024

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@article{osti_3003599,

  title        = {Modeling uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production},

  author       = {Kim, Seungdo},

  abstractNote = {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.},

  doi          = {10.5061/dryad.rn8pk0pm8},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jul 16 04:00:00 UTC 2024},

  month        = {Tue Jul 16 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.5061/dryad.rn8pk0pm8

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