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Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH

Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate,... AbstractIn this work, a risk index to monitor an anaerobic digestion process is established. The index is derived from the dynamical analysis of the system and it is composed by two conditions ensuring an optimum operating conditions inside bioreactor. The analysis is performed using bifurcation theory in order to study the effects of dilution rate, temperature and pH parameters at behavior system. For these purpose an extended version of the mathematical model proposed by Bernard [1] involving the dependence of growth kinetics on temperature and pH is used. The analysis shows both microbial growth and the performance of the bioprocess, when is highly affected by these parameters, indeed the washout condition occurs by combining a fold bifurcation and a transcritical bifurcation. From bifurcation diagrams both safety and optimal operation regions of the bioreactor are defined. Consequently, based on two conditions of stability a risk index to monitor the bioprocess on-line is proposed. The index is evaluated via numerical simulations allowing to detect system destabilization. The results obtained in this work may provide a useful methodology to monitor an anaerobic process and to guarantee the optimal performance of the bioreactor given that the model is sufficiently accurate. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nonlinear Engineering de Gruyter

Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH

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Publisher
de Gruyter
Copyright
© 2020 A.M. Alzate-Ibañez et al., published by De Gruyter
ISSN
2192-8029
eISSN
2192-8029
DOI
10.1515/nleng-2018-0055
Publisher site
See Article on Publisher Site

Abstract

AbstractIn this work, a risk index to monitor an anaerobic digestion process is established. The index is derived from the dynamical analysis of the system and it is composed by two conditions ensuring an optimum operating conditions inside bioreactor. The analysis is performed using bifurcation theory in order to study the effects of dilution rate, temperature and pH parameters at behavior system. For these purpose an extended version of the mathematical model proposed by Bernard [1] involving the dependence of growth kinetics on temperature and pH is used. The analysis shows both microbial growth and the performance of the bioprocess, when is highly affected by these parameters, indeed the washout condition occurs by combining a fold bifurcation and a transcritical bifurcation. From bifurcation diagrams both safety and optimal operation regions of the bioreactor are defined. Consequently, based on two conditions of stability a risk index to monitor the bioprocess on-line is proposed. The index is evaluated via numerical simulations allowing to detect system destabilization. The results obtained in this work may provide a useful methodology to monitor an anaerobic process and to guarantee the optimal performance of the bioreactor given that the model is sufficiently accurate.

Journal

Nonlinear Engineering – de Gruyter

Published: Aug 31, 2019

References

  • Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes
  • La technique de culture continué. théorie et applications
  • Kinetics of anaerobic treatment: a critical review
  • A mathematical model for dynamic simulation of anaerobic digestion of complex substrates: Focusing on ammonia inhibition
  • Bifurcation and stability analysis of an anaerobic digestion model
  • A robust control scheme to improve the stability of anaerobic digestion processes
  • An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model
  • Instrumentation and control of anaerobic digestion processes: a review and some research challenges