Advanced dynamical risk analysis for monitoring anaerobic digestion process

Hess, Jonathan; Bernard, Olivier

doi:10.1002/btpr.120

Cited by 13 publications

(3 citation statements)

References 41 publications

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“…As mentioned before, the anaerobic digestion process includes four stages that come in sequence, where different kinds of microorganisms take part at each stage. In order to obtain a stable and efficient process, process monitoring is necessary [4,62,237]. Monitoring enables early detection of problems and disturbances and indicates the required adjustments to the operational parameters (to be within acceptable ranges).…”

Section: Monitoring Of the Operational Conditions In Biogas Plantsmentioning

confidence: 99%

Operational Parameters of Biogas Plants: A Review and Evaluation Study

et al. 2020

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The biogas production technology has improved over the last years for the aim of reducing the costs of the process, increasing the biogas yields, and minimizing the greenhouse gas emissions. To obtain a stable and efficient biogas production, there are several design considerations and operational parameters to be taken into account. Besides, adapting the process to unanticipated conditions can be achieved by adequate monitoring of various operational parameters. This paper reviews the research that has been conducted over the last years. This review paper summarizes the developments in biogas design and operation, while highlighting the main factors that affect the efficiency of the anaerobic digestion process. The study’s outcomes revealed that the optimum operational values of the main parameters may vary from one biogas plant to another. Additionally, the negative conditions that should be avoided while operating a biogas plant were identified.

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Section: Monitoring Of the Operational Conditions In Biogas Plantsmentioning

confidence: 99%

Operational Parameters of Biogas Plants: A Review and Evaluation Study

et al. 2020

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“…Using their results, they proposed a monitoring strategy based on a stability criteria named "overloading tolerance" in monitoring a "destabilization risk index", cf. [8].…”

Section: Introductionmentioning

confidence: 95%

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes

Benyahia

Sari

Cherki

et al. 2012

Journal of Process Control

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This paper deals with the equilibria and stability analysis of the two step anaerobic model initially proposed by [12] to describe the dynamical behavior of an anaerobic fixed-bed wastewater treatment process. In a first part, the model is analyzed: its equilibria and their stability are established considering qualitative properties of the kinetics. In a second part, it is shown that the overloading tolerance (denoted herein OT), a parameter proposed in [9] to monitor anaerobic processes on-line, may not be suitable for monitoring the system and even causes serious problems under certain functioning conditions. Based on the analysis results established in the first part, a modified OT is proposed and evaluated in simulation

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“…This study indicates that a control strategy should be designed so as to trade-off robustness and productivity, which could be quantified by the system stability boundaries. In [9,10], the authors introduced a risk index for the operation of an anaerobic digestion system, which indicates whether the process has been triggered to a dangerous working mode. This index was defined based on the areas of the system stability regions and has been recently revisited in [11] based on a rigorous analysis of the nonlinear dynamics.…”

Section: Introductionmentioning

confidence: 99%

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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Advanced dynamical risk analysis for monitoring anaerobic digestion process

Cited by 13 publications

References 41 publications

Operational Parameters of Biogas Plants: A Review and Evaluation Study

Operational Parameters of Biogas Plants: A Review and Evaluation Study

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes

An optimizing start-up strategy for a bio-methanator

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