Cited by 63Forest Biomass Utilization and ManagementBiofuel production and bioconversionBioenergy crop production and management

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All biomass is local: The cost, volume produced, and global warming impact of cellulosic biofuels depend strongly on logistics and local conditions

Kim, Seungdo, Dale, Bruce E.·2015·Biofuels, Bioproducts and Biorefining

Abstract

Current models of cellulosic biofuel systems require that the delivered price of the cellulosic biomass feedstock be kept low. Thus the predicted biorefinery size is relatively small, limiting potential economies of scale. However, it is actually the ultimate selling price of the biofuel that largely determines market penetration. We relaxed the constraint of low delivered feedstock price and explored the resulting effects on biofuel price, biofuel volume produced, and global warming impact (GWI). Feedstock price greatly affects the feedstock supply chains that may develop. Increased feedstock price does not affect the final ethanol selling price very much, but higher feedstock prices greatly increase the amount of ethanol produced. Farmers will supply much more cellulosic biomass at higher feedstock prices, leading to shorter transportation distances with reduced transportation costs and enabling larger biorefineries with improved economies of scale, thereby reducing the ethanol selling price. The cellulosic feedstock supply chain systems were studied as a function of feedstock prices by determining potential feedstock supply clusters and the maximum capacity of cellulosic biorefineries across the United States. Supply clusters were determined by minimizing costs associated with ethanol production. The analysis is based on county‐level cellulosic feedstock production data projected in the US Billion‐Ton Update report. Each biomass supply cluster is unique in terms of local a…

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  • Most bioenergy modeling efforts are implicitly based on a static approach, which is based on average (or time-independent) values for foreground and background systems.

    “Most bioenergy modeling efforts are implicitly based on a static approach, which is based on average (or time- independent) values for foreground and background systems (Adler et al.,2007; Dwivedi et al.,2015; Kim & Dale, 2015; Kim et al., 2019, 2020; Schmer et al., 2008, 2014; Tao, Tan, et al., 2014; Wang et al., 2012).”

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Metadata

Authors
Kim, S., & Dale, B. E.
Affiliations
Michigan State University (US)
Corresponding author
Dale, Bruce E.
Venue
Biofuels, Bioproducts and Biorefining
Publisher
Wiley
Published
2015-04-17
Volume
9
Issue
4
Pages
422-434
ISSN
  • 1932-1031 (ISSN-L)
  • 1932-104X
OpenAlex
W2024436126
Cited by
63
References
0
Citations by year
2026: 5 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 6 · 2021: 1 · 2020: 7 · 2019: 10 · 2018: 6 · 2017: 13 · 2016: 7 · 2015: 1
FWCI
8.41
Type
journal article
Language
en
Update notices
erratum (2015-11-18)
Open access
closed
Locations
Biofuels Bioproducts and Biorefining (publishedVersion)
Funders
US Department of Energy, Office of Science, Office of Biological and Environmental Research (DE-FC02-07ER64494)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Forest Biomass Utilization and Management
  • Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
Keywords
cellulosic biofuels, cellulosic ethanol, feedstock prices, biomass supply chain, economies of scale, transportation costs, climate change impacts, biomass logistics

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