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Integrated modelling of anaerobic digestion process chain for scenario assessment.

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Reporter-based Growth Assay for Systematic Analysis of Protein Degradation
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A waste characterisation procedure for ADM1 implementation based on degradation kinetics.

R Girault1, G Bridoux, F Nauleau

  • 1Irstea, UR GERE, 17 av. de Cucillé, CS 64427, F-35044 Rennes, France. romain.girault@irstea.fr

Water Research
|June 5, 2012
PubMed
Summary
This summary is machine-generated.

A new procedure accurately splits substrate

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Area of Science:

  • Biotechnology
  • Environmental Engineering
  • Biochemical Engineering

Background:

  • Accurate input parameters are crucial for anaerobic digestion modeling.
  • Current methods for determining these parameters can be complex and time-consuming.

Purpose of the Study:

  • To develop a procedure for splitting total Chemical Oxygen Demand (COD) into input state variables for Anaerobic Digestion Model n°1 (ADM1).
  • To investigate the influence of operational parameters on this procedure.
  • To enable reliable prediction of anaerobic digestion process efficiency through modeling.

Main Methods:

  • Combined batch experimental degradation tests (anaerobic respirometry) with numerical interpretation.
  • Optimized the ADM1 input state variable set.
  • Investigated effects of substrate to inoculum ratio and inoculum origin.
  • Utilized biochemical fractionation of substrate COD.

Main Results:

  • Developed a method to determine ADM1-consistent input state variables with good identifiability.
  • Substrate to inoculum ratio and inoculum origin showed influence on input variables but were not significant in CSTR modeling.
  • Uncertainty in COD fractionation is mainly due to substrate temporal variability.

Conclusions:

  • The developed kinetic-based method is promising for predicting anaerobic CSTR performance.
  • It simplifies the determination of ADM1 input parameters for various substrates.
  • Promotes the use of modeling for anaerobic process design and optimization.