A robust control scheme to improve the stability of anaerobic digestion processes

Méndez‐Acosta, Hugo Oscar; Palacios-Ruiz, B.; Alcaraz-González, V.; González‐Álvarez, V.; García-Sandoval, J.P.

doi:10.1016/j.jprocont.2010.01.006

Cited by 87 publications

(58 citation statements)

References 17 publications

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“…S1-S3; and Table 2 summarized the specific early warning information of various parameters. Among then the dates of the process imbalance for IA/PA, VFA/TA and BA/TA were, respectively defined as the date when the ratios exceeded their critical value of 0.3, 0.35 and 0.8 (Martín-González et al, 2013;Méndez-Acosta et al, 2010). The selected thresholds are valid in all three reactors, and seem more suitable than any other thresholds to indicate the process imbalance of FW digesters.…”

Section: Response Of Process Parametersmentioning

confidence: 99%

“…Anaerobic digestion (AD) usually features process imbalance under high organic loading rate (OLR) (Méndez-Acosta et al, 2010), so the process monitoring and control are indispensable for achieving a high-efficiency and stabilized performance of the AD system (Bjornsson et al, 2001), while effective process parameters are the basis for ensuring the process monitoring and control. A multitude of studies have explored the process parameters of the AD system.…”

Section: Introductionmentioning

confidence: 99%

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Early warning indicators for monitoring the process failure of anaerobic digestion system of food waste

Wei

et al. 2014

Bioresource Technology

128

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Section: Response Of Process Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Early warning indicators for monitoring the process failure of anaerobic digestion system of food waste

Wei

et al. 2014

Bioresource Technology

128

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“…The most popular ones are robust output feedback control [1][2][3] and adaptive control [4][5][6]. In [7], the authors have reviewed a number of control strategies for anaerobic digestion systems and have concluded that neither the classical nor the advanced control methods have succeeded in overcoming all the difficulties which arise in the efficient operation of these processes.…”

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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“…Méndez-Acosta et al (2010) have designed a multivariable control system for controlling the concentration of VFA in the reactor to its setpoint using the feed rate, and controlling the total alkalinity to its setpoint using the addition of an alkali solution.…”

Section: Anaerobic Digestion (Ad) Of Animal Wastesmentioning

confidence: 99%

On-off and PI Control of Methane Gas Production of a Pilot Anaerobic Digestion Reactor

Haugen¹,

Bakke²,

Lie³

2013

MIC

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A proposed feedback control system for methane flow control of a real pilot anaerobic digestion reactor fed with dairy waste is designed and analyzed using the modified Hill model, which has previously been adapted to the reactor. Conditions for safe operation of the reactor are found using steady-state responses of dynamic simulations, taking into account the upper limit of the volatile fatty acids (VFA) concentration recommended in the literature. The controllers used are standard process controllers, namely the on-off controller and the PI controller. Several PI controller tuning methods are evaluated using simulations. Two methods are favoured, namely the Skogestad method, which is an open loop method, and the Relaxed Ziegler-Nichols closed loop method. The two methods give approximately the same PI settings. Still, the Skogestad method is ranged first as it requires less tuning time, and because it is easier to change the PI settings at known changes in the process dynamics. Skogestad's method is successfully applied to a PI control system for the real reactor. Using simulations, the critical operating point to be used for safe controller tuning is identified.

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A robust control scheme to improve the stability of anaerobic digestion processes

Cited by 87 publications

References 17 publications

Early warning indicators for monitoring the process failure of anaerobic digestion system of food waste

Early warning indicators for monitoring the process failure of anaerobic digestion system of food waste

An optimizing start-up strategy for a bio-methanator

On-off and PI Control of Methane Gas Production of a Pilot Anaerobic Digestion Reactor

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