Hybrid modelling of anaerobic wastewater treatment processes

Karama, A;Bernard, O.;Genovesi, A;Dochain, Denis;Steyer, JP;et.al.
(2001) 1st World Water Congress of the International-Water-Association (IWA) — Location: PARIS(France) (3.July.2000)

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Authors
  • Karama, A
    Author
  • Bernard, O.
    Author
  • Genovesi, A
    Author
  • Dochain, DenisUCLouvain
    Author
  • Steyer, JP
    Author
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Abstract
This paper presents a hybrid approach for the modelling of an anaerobic digestion process. The hybrid model combines a feedforward network, describing the bacterial kinetics, and the a priori knowledge based on the mass balances of the process components. We have considered an architecture which incorporates the neural network as a static model of unmeasured process parameters (kinetic growth rate) and an integrator for the dynamic representation of the process using a set of dynamic differential equations. The paper contains a description of the neural network component training procedure. The performance or this approach is illustrated with experimental data.
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Karama, A., Bernard, O., Genovesi, A., Dochain, D., Benhammou, A., & Steyer, J. (2001). Hybrid modelling of anaerobic wastewater treatment processes. Water Science and Technology, 43(1), 43-50. https://hdl.handle.net/2078.5/59448 (Original work published 2001)