The Process of Industrial Bioethanol Production Explained by Self-Organised Maps

Conference paper
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 61)

Abstract

Bioethanol is produced on an industrial scale by means of fermentation of a sugar substrate by Saccharomyces cerevisiae. Models for the detection of anomalies and their possible evolution are difficult to elaborate due to the biological nature of the fermentation process. This paper describes a method able to characterize patterns for explaining industrial bioethanol production using self-organised maps. Also, this method allows for an estimation of the probabilities of evolution to any pattern that the process may have from its last recognized state, therefore helping to take measures to correct a possible problem as soon as possible.

Keywords

Fermentation Process Succinic Acid Distillation Column Condensed Fraction Fermentation Tank 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors are very grateful to the entire staff of the Bioetanol Galicia plant and ABENGOA for their valuable collaboration during all this work. This project has been partially supported by the research program PROFIT promoted by the Spanish Government.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Miguel A. Sanz-Bobi
    • 1
  • Pablo Ruiz
    • 1
  • Julio Montes
    • 1
  1. 1.IIT- Institute of Technological Research, Engineering SchoolComillas Pontifical UniversityMadridSpain

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