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A linear ASM1 based multi-model for activated sludge systems

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  • Ilse Smets
  • Liesbeth Verdickt
  • Jan Van Impe

Abstract

In the search for a reliable but simple model for the biodegradation processes of an activated sludge wastewater treatment plant, this paper presents a multi-model which is valid for the global operating region of a standard carbon and nitrogen removing facility. In a first step, locally valid linear models are derived. Two linearization procedures are compared. The first procedure is the classical Taylor series expansion, while the second is a newly developed linearization procedure based on weighted linear combinations. In a second step, the locally valid models are combined to obtain one globally valid multi-model. Previous work has focused on the most basic configuration of one anoxic and one aerated tank followed by a point settler [Smets, I.Y., Haegebaert, J.V. and Carrette, R. and Van Impe, J.F., 2003, Water Research , 37 , 1831 -- 1851]. Refinements to the methodology are however needed (and presented here) once the influent flow rate range is increased and the benchmark configuration, proposed by the COST 682 working group no. 2, is taken as the simulation protocol. The main advantage of the obtained linear model (structure) remains the alliance of high predictive power with low complexity, rendering the multi-model fit for on-line optimization and control schemes.

Suggested Citation

  • Ilse Smets & Liesbeth Verdickt & Jan Van Impe, 2006. "A linear ASM1 based multi-model for activated sludge systems," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 12(5), pages 489-503, October.
  • Handle: RePEc:taf:nmcmxx:v:12:y:2006:i:5:p:489-503
    DOI: 10.1080/13873950600723467
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    Cited by:

    1. Kirchem, Dana & Giberti,Matteo & Kaan Dereli, Recep & Kiviluoma, Juha & Lynch, Muireann Á & Casey, Eoin, 2023. "A linear reduced-order model for the activated sludge process for the integration into a mixed-integer linear energy system optimisation model," Papers WP764, Economic and Social Research Institute (ESRI).

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