Anaerobic Digester Optimization Using Extremum Seeking and Model-Based Algorithms. A Comparative Study. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Caraman, S.; Barbu, M.; Ifrim, G.; Titica, M.; Ceanga, E.
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 12673
• Page End: 12678
• Publication Date: 2017-07
• Subjects: optimization -- anaerobic digester -- extremum seeking control -- model-based algorithm -- performance criterion; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.2245
• Languages: English
• ISSNs: 2405-8963

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.