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Related Experiment Videos

Dry-grind process for fuel ethanol by continuous fermentation and stripping.

F Taylor1, M J Kurantz, N Goldberg

  • 1U.S. Department of Agriculture, Eastern Regional Research Center, Agricultural Research Service, Wyndmoor, Pennsylvania 19038, USA. ftaylor@arserrc.gov

Biotechnology Progress
|August 10, 2000
PubMed
Summary

Continuous fermentation and stripping of high-solids corn mash demonstrated successful pilot-scale ethanol production. This process offers a cost savings of $0.03 per gallon by reducing downstream water removal.

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Area of Science:

  • Biochemical Engineering
  • Renewable Energy Production
  • Process Optimization

Background:

  • Traditional dry-grind corn-to-ethanol processes face challenges with water management and energy efficiency.
  • Fermenting higher solids content in mash can improve process economics but presents technical hurdles.

Purpose of the Study:

  • To demonstrate the feasibility of continuous fermentation and stripping for high-solids corn mash to ethanol.
  • To develop and validate a mathematical model for predicting fermentation performance.
  • To evaluate the economic benefits of this process compared to conventional methods.

Main Methods:

  • Pilot-scale continuous fermentation and stripping of a high-solids saccharified corn mash (25 kg corn/day).
  • Development of a mathematical model based on pilot plant data to predict specific growth rates.

Related Experiment Videos

  • Integration of the model into a full-scale dry-grind corn-to-ethanol plant simulation for cost analysis.

    • Main Results:

    • Successful pilot-scale demonstration of continuous ethanol production from high-solids corn mash.
    • The developed mathematical model accurately predicted specific growth rates.
    • The stripping process simulation indicated potential cost savings of $0.03 per gallon of ethanol.

    Conclusions:

    • Continuous fermentation and stripping of high-solids corn mash is a viable and economically advantageous method for ethanol production.
    • The process offers savings due to reduced water removal requirements from more concentrated mashes.
    • Mathematical modeling is effective for predicting and optimizing such bioprocesses.