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

Lara-Cisneros, Gerardo; Aguilar-López, Ricardo; Femat, R.

doi:10.1016/j.compchemeng.2015.01.018

Cited by 42 publications

(31 citation statements)

References 32 publications

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“…Therefore, in the present investigation these parameters were critical to allowing a good fit of the model. Further, it should be noted that previous authors did include these parameters in their identification procedure and therefore this could be seen as a shortfall of these works [ 1 , 6 , 8 ].…”

Section: Methodsmentioning

confidence: 99%

“…Over the years, several simplified models of the AD process have being proposed with the aim of reducing the complexity in terms of the number of parameters to be identified and also for specific problems, including the development of a framework for monitoring and controlling [ 5 ]. Other applications of these simplified models include; the optimization of methane production [ 6 ], the dynamic modelling of the behaviour of AD processes such as the comparisons of different reactor combinations [ 7 ], the simulation of dynamic behaviour of a two stage AD process [ 8 ] and the AD of microalgae [ 9 ]. The models can be classified in three ways; by the number of fractions that describe the complex organic matter, by the number of populations of microorganisms that catalyse the reactions, or by the number of biochemical reactions taking place.…”

Section: Introductionmentioning

confidence: 99%

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Assessment and parameter identification of simplified models to describe the kinetics of semi-continuous biomethane production from anaerobic digestion of green and food waste

Owhondah

Walker

et al. 2016

Bioprocess Biosyst Eng

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Biochemical reactions occurring during anaerobic digestion have been modelled using reaction kinetic equations such as first-order, Contois and Monod which are then combined to form mechanistic models. This work considers models which include between one and three biochemical reactions to investigate if the choice of the reaction rate equation, complexity of the model structure as well as the inclusion of inhibition plays a key role in the ability of the model to describe the methane production from the semi-continuous anaerobic digestion of green waste (GW) and food waste (FW). A parameter estimation method was used to investigate the most important phenomena influencing the biogas production process. Experimental data were used to numerically estimate the model parameters and the quality of fit was quantified. Results obtained reveal that the model structure (i.e. number of reactions, inhibition) has a much stronger influence on the quality of fit compared with the choice of kinetic rate equations. In the case of GW there was only a marginal improvement when moving from a one to two reaction model, and none with inclusion of inhibition or three reactions. However, the behaviour of FW digestion was more complex and required either a two or three reaction model with inhibition functions for both ammonia and volatile fatty acids. Parameter values for the best fitting models are given for use by other authors.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment and parameter identification of simplified models to describe the kinetics of semi-continuous biomethane production from anaerobic digestion of green and food waste

Owhondah

Walker

et al. 2016

Bioprocess Biosyst Eng

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“…Very recently, a control of the surface potential for MOX gas sensors has been proposed for the first time [24,25]. This control is based on sigmadelta modulation, understood as a way of enforcing a sliding mode control [26,27,28,29] on the state variables of the sensor [30]. In order to do this, a feedback loop using temperature modulation is used to operate the sensor aiming at achieving a constant surface potential.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the dynamics of an active control of the surface potential in metal oxide gas sensors

Monge-Villora

Domínguez-Pumar

Olm

2018

Computers & Chemical Engineering

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Gas sensing is nowadays a key actor in pollution observation and detection of chemical toxic agents or explosives. All these applications require the shortest possible time response. Very recently, a control of the surface potential in gas sensors based on metal oxides has experimentally shown to dramatically improve the time response of metal-oxide gas sensors. The proposed control is inspired in sigma-delta modulators. This paper aims at studying the resulting dynamics in the sensor from a theoretical point of view. Using state space models, it is shown how the state variables, namely the concentrations of ionized species in the sensing layer, evolve with time in open and closed loop configuration. This analysis studies how it is possible to alter the dynamics of the overall system, while at the same time keeping some important characteristics of sigma-delta modulators, such as quantization noise-shaping. Numerical simulations validate the obtained results.

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“…Other stateof-the-art applications include those in thermodynamic process optimization such as Mu et al (2015) and Hu et al (2015). It has also been used for online optimization of anaerobic digestion as in Lara-Cisneros et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Reduction and Convergence Analysis of Extremum Seeking Control with Feedback Encoding

Wijesinghe

Premaratne

2016

Front. Mech. Eng.

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Frequently, a physical plant of a control system has an optimum operating point such as the spark (or injection) time of an internal combustion engine that results in maximum torque. Extremum Seeking Control (ESC) is a method of adaptive control capable of locating and maintaining a plant at such an optimum operating point in real time. It is capable of doing so with minimal a priori knowledge of the plant and can also track slowly varying changes. Input perturbed ESC schemes that use periodic dither signals have the disadvantage of requiring a high bandwidth for sampling and correlating the plant output with the dither signal. If the feedback path was to be implemented over a packet switched communication network, the high bandwidth requirement could result in increased congestion and consequently packet delays and dropouts. As a solution encoding using sporadic (aperiodic) sampling techniques can be used in the feedback path of the ESC scheme to reduce the required bandwidth. However, in order to ensure convergence of the ESC scheme with encoding, the effect of the signal reconstruction error due to encoding on the critical correlation stage has to be investigated. The contribution of this paper is an investigation of the convergence requirements and bandwidth performance of two encoding schemes; Memory-Based Event Triggering (MBET) and Event Triggered Adaptive Differential Modulation (ETADM). The results show that MBET can fail for objective functions with plateaus. ETADM fails when the number of ETADM steps used for reconstructing the plant output per perturbation cycle is too low to allow correlation. In terms of bandwidth reduction MBET performs better than ETADM (97% and 70%, respectively). However, the use of MBET results in a longer convergence time.

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

Cited by 42 publications

References 32 publications

Assessment and parameter identification of simplified models to describe the kinetics of semi-continuous biomethane production from anaerobic digestion of green and food waste

Assessment and parameter identification of simplified models to describe the kinetics of semi-continuous biomethane production from anaerobic digestion of green and food waste

Analysis of the dynamics of an active control of the surface potential in metal oxide gas sensors

Bandwidth Reduction and Convergence Analysis of Extremum Seeking Control with Feedback Encoding

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