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Anaerobic Digester Optimization Using Extremum Seeking and Model-Based Algorithms. A Comparative Study

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Abstract The paper deals with the optimization of an anaerobic digester with respect to a performance criterion which targets the maximization of the methane production. It is penalized by the… Click to show full abstract

Abstract The paper deals with the optimization of an anaerobic digester with respect to a performance criterion which targets the maximization of the methane production. It is penalized by the environment pollution with the discharged water. The paper includes a comparative study regarding the performances of two optimization approaches: the extremum seeking control, in stochastic and deterministic versions, and the model-based control respectively. The latter uses a characteristic of the optimal regimes which supplies the optimal setpoint (the dilution rate) as a function of the substrate concentration in the inflow, estimated by an extended Kalman filter.

Keywords: model based; comparative study; extremum seeking; anaerobic digester

Journal Title: IFAC-PapersOnLine
Year Published: 2017

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