JOURNAL ARTICLE
Impact of mixing grain sorghum with corn on ethanol and coproduct yields.
Published In: Biofuels, Bioproducts & Biorefining, 2024, v. 18, n. 6. P. 1930 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Johnston, David B.; Stoklosa, Ryan J.; Yee, Winnie 3 of 3
Abstract
Existing corn ethanol biorefineries produce about 94% of the ethanol capacity in the USA and currently have surplus production capacity. Expanding feedstocks for existing facilities rather than building new dedicated facilities could provide significant benefits and cost savings. Grain sorghum is a feedstock with a similar composition to corn, which could be utilized at significant incorporation levels in existing facilities with minimal or no modifications but it is currently only used minimally. To understand the impact of grain sorghum incorporation better we studied mixed corn and grain sorghum fermentation at the laboratory scale and utilized the data generated to develop technical models for the individual grains and for a 50/50 mixture at 119 million kg per year (40 million gal per year). Detailed processing and economic comparisons were developed to determine the overall impact. The results showed significant feedstock savings ($8 million per year) potential for utilization of sorghum relative to corn. Ethanol production cost was reduced by $0.07 per kg of ethanol using sorghum relative to corn. Other potential impacts on coproduct composition and values were also determined and discussed. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Biofuels, Bioproducts & Biorefining. 2024/11, Vol. 18, Issue 6, p1930
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2024
- ISSN:1932-104X
- DOI:10.1002/bbb.2666
- Accession Number:180655973
- Copyright Statement:Copyright of Biofuels, Bioproducts & Biorefining is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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