Determination of appropriate operating strategies for anaerobic digestion systems

Sbarciog, Mihaela; Loccufier, Mia; Noldus, Erik

doi:10.1016/j.bej.2010.06.016

Cited by 56 publications

(71 citation statements)

References 22 publications

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“…A detailed analysis of this model has been performed in [16]. For the development of the control strategy, the main properties of the system are summarized here.…”

Section: Process Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

An optimizing start-up strategy for a bio-methanator

Sbarciog

Loccufier

Wouwer

2011

Bioprocess Biosyst Eng

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This paper presents an optimizing start-up strategy for a bio-methanator. The goal of the control strategy is to maximize the outflow rate of methane in anaerobic digestion processes, which can be described by a two-population model. The methodology relies on a thorough analysis of the system dynamics and involves the solution of two optimization problems: steady-state optimization for determining the optimal operating point and transient optimization. The latter is a classical optimal control problem, which can be solved using the maximum principle of Pontryagin. The proposed control law is of the bang-bang type. The process is driven from an initial state to a small neighborhood of the optimal steady state by switching the manipulated variable (dilution rate) from the minimum to the maximum value at a certain time instant. Then the dilution rate is set to the optimal value and the system settles down in the optimal steady state. This control law ensures the convergence of the system to the optimal steady state and substantially increases its stability region. The region of attraction of the steady state corresponding to maximum production of methane is considerably enlarged. In some cases, which are related to the possibility of selecting the minimum dilution rate below a certain level, the stability region of the optimal steady state equals the interior of the state space. Aside its efficiency, which is evaluated not only in terms of biogas production but also from the perspective of treatment of the organic load, the strategy is also characterized by simplicity, being thus appropriate for implementation in real-life systems. Another important advantage is its generality: this technique may be applied to any anaerobic digestion process, for which the acidogenesis and methanogenesis are, respectively, characterized by Monod and Haldane kinetics.

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“…A detailed analysis of this model has been performed in [16]. For the development of the control strategy, the main properties of the system are summarized here.…”

Section: Process Descriptionmentioning

confidence: 99%

“…The stability of equilibria has been assessed via the linearization principle (see [16]). The following characteristics are useful for further development of the control strategy:…”

Section: Process Descriptionmentioning

confidence: 99%

An optimizing start-up strategy for a bio-methanator

Sbarciog

Loccufier

Wouwer

2011

Bioprocess Biosyst Eng

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“…From the power generation viewpoint, the optimization of methane outflow rate is one of the key issues in the operation of anaerobic processes (Sbarciog et al 2011). However, the optimal operation of AD process is complicated to reach, mainly due to: their highly nonlinear and unstable nature, inhibition by substrates or products and by the substantial unmodeled dynamics (Hess and Bernard, 2008;Sbarciog et al, 2010;Serhani et al, 2011;Shen et al, 2007). Additionally, the optimal operating conditions of the AD process can be riskier; i.e., the effect of the external perturbations or small changes in the AD environment can lead towards undesirable operating conditions (Sbarciog et al, 2010;Shen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

On the dynamic optimization of methane production in anaerobic digestion via extremum-seeking control approach

Lara-Cisneros

Aguilar-López

Femat

2015

Computers & Chemical Engineering

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“…In this section, we propose a graph-based approach to determine the equilibria of system (7)- (11). It should be noted that only the positive values of S * 1 and S * , which verify conditions (26) and (31) are considered.…”

Section: Graphical Determination Of Equilibriamentioning

confidence: 99%

“…Our model is based on the modification of the two-step model AM2 proposed in [1] that has been analyzed by [11] in a chemostat and by [2] in a more generic case. In such models, anaerobic digestion is considered as a two-step process:…”

Section: Reaction Network and Mathematical Modelmentioning

confidence: 99%

Anaerobic membrane bioreactor modeling in the presence of Soluble Microbial Products (SMP) – the Anaerobic Model AM2b

Benyahia

Sari

Cherki

et al. 2013

Chemical Engineering Journal

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In this paper, we develop a mathematical model of anaerobic membrane bioreactors (AnMBR) for control design purposes. In particular, we integrate into this model the production and the degradation of Soluble Microbial Products (SMP), which are known to play an important role in the membrane fouling phenomenon. The proposed model, named AM2b, is based on the modification of the AM2 two step model initially proposed in [1]. We present a graph-based approach to determinate its equilibria and discuss three different generic cases. We show that under general assumptions (case A), the model developed has the same number of equilibria as the AM2 model and biological parameters values are slightly modified (cases B and C), the AM2b model exhibits equilibria bifurcation and multi-stability property. It is alsoshown that the AM2b model can provide interesting qualitative information to the user, such as the influence on some equilibria of the variation in the concentration of organic matter in the influent concentration.

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Determination of appropriate operating strategies for anaerobic digestion systems

Cited by 56 publications

References 22 publications

An optimizing start-up strategy for a bio-methanator

An optimizing start-up strategy for a bio-methanator

On the dynamic optimization of methane production in anaerobic digestion via extremum-seeking control approach

Anaerobic membrane bioreactor modeling in the presence of Soluble Microbial Products (SMP) – the Anaerobic Model AM2b

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