Mathematical model of biohydrogen production in microbial electrolysis cell: A review

Asrul, Mohamad Afiq Mohd; Atan, Mohd Farid; Yun, Hafizah Abdul Halim; Lai, Josephine Chang Hui

doi:10.1016/j.ijhydene.2021.09.021

Cited by 18 publications

(6 citation statements)

References 90 publications

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“…Nonetheless, there is a dearth of research on mathematical modeling and control of relatively new MEC systems. Our critical bibliographical review and a recent study on MEC modeling demonstrate the lack of control-oriented formulation and model-based standard controls for MEC systems [26,27].…”

Section: Introductionmentioning

confidence: 97%

A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy

et al. 2022

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The focus on renewable energy is increasing globally to lessen reliance on conventional sources and fossil fuels. For renewable energy systems to work at their best and produce the desired results, precise feedback control is required. Microbial electrochemical cells (MEC) are a relatively new technology for renewable energy. In this study, we design and implement a model-based robust controller for a continuous MEC reactor. We compare its performance with those of traditional methods involving a proportional integral derivative (PID), H-infinity (H∞) controller and PID controller tuned by intelligent genetic algorithms. Recently, a dynamic model of a MEC continuous reactor was proposed, which describes the complex dynamics of MEC through a set of nonlinear differential equations. Until now, no model-based control approaches for MEC have been proposed. For optimal and robust output control of a continuous-reactor MEC system, we linearize the model to state a linear time-invariant (LTI) state-space representation at the nominal operating point. The LTI model is used to design four different types of controllers. The designed controllers and systems are simulated, and their performances are evaluated and compared for various operating conditions. Our findings show that a structured linear fractional transformation (LFT)-based H∞ control approach is much better than the other approaches against various performance parameters. The study provides numerous possibilities for control applications of continuous MEC reactor processes.

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Section: Introductionmentioning

confidence: 97%

A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy

et al. 2022

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“…This is partly due to the significant challenges posed by the step towards the industrial scale [6][7][8][9][10]. For instance, the impact of MEC operating conditions [11], the optimization of the process design for its integration into more complex systems, the establishment of critical performance ranges, and many other operational and empirical issues; as well as biological, physical-chemical, and bioelectrochemical considerations; and its integration in fundamental modeling are still important challenges for experts [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Several contributions have been made [7,8] ever since the first BES mathematical model was reported for a microbial fuel cell (MFC) system [16]. However, only a few reviews have been devoted to MFC modeling [17][18][19], and even fewer have addressed MEC systems [14].…”

Section: Introductionmentioning

confidence: 99%

“…From a practical point of view, MFC models can be categorized into two main groups, namely, mechanism-based models and application-based models [17]. The most reported MEC models [14] are mechanism-based models [15], and only a few are application-based models [13,20]. At their turn, mechanism-based MEC models can be further classified according to the mathematical formulation of their mass balances, electrochemical phenomena, or biofilm growth [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…The most reported MEC models [14] are mechanism-based models [15], and only a few are application-based models [13,20]. At their turn, mechanism-based MEC models can be further classified according to the mathematical formulation of their mass balances, electrochemical phenomena, or biofilm growth [14,15]. Other categories can be related to the complexity of the model, for instance, spatial dimension (1D, 2D, or 3D), time dependence, or steady state models.…”

Section: Introductionmentioning

confidence: 99%

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A Catalytic Effectiveness Factor for a Microbial Electrolysis Cell Biofilm Model

2022

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The aim of this work is to propose a methodology to obtain an effectiveness factor for biofilm in a microbial electrolysis cell (MEC) system and use it to reduce a partial differential equation (PDE) biofilm MEC model to an ordinary differential equation (ODE) MEC model. The biofilm mass balances of the different species are considered. In addition, it is considered that all the involved microorganisms are attached to the anodic biological film. Three effectiveness factors are obtained from partial differential equations describing the spatial distributions of potential and substrate in the biofilm. Then, a model reduction is carried out using the global mass balances of the different species in the system. The reduced model with three uncertain but bounded effectiveness factors is evaluated numerically and analyzed in the sense of stability and parametric sensibility to demonstrate its applicability. The reduced ODE model is compared with a validated model taken from the literature, and the results are in good agreement. The biofilm effectiveness factor in MEC systems can be extended to the reduction of PDE models to obtain ODE models that are commonly used in optimization and control problems.

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Microbial Electrolysis Cells for Biohydrogen Generation and Wastewater Treatment—A Short Review and Current Trends

Alcaraz-Gonzalez,

Flores-Estrella,

Nolasco

et al. 2023

Water and Wastewater Management

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Mathematical model of biohydrogen production in microbial electrolysis cell: A review

Cited by 18 publications

References 90 publications

A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy

A Robust Controller of a Reactor Electromicrobial System Based on a Structured Fractional Transformation for Renewable Energy

A Catalytic Effectiveness Factor for a Microbial Electrolysis Cell Biofilm Model

Microbial Electrolysis Cells for Biohydrogen Generation and Wastewater Treatment—A Short Review and Current Trends

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