A fully Lagrangian computational model for the integration of mixing and biochemical reactions in anaerobic digestion

Rezavand, Massoud; Winkler, Daniel; Sappl, Johannes; Seiler, Laurent; Meister, Michael; Rauch, Wolfgang

doi:10.1016/j.compfluid.2019.01.024

Cited by 29 publications

(20 citation statements)

References 46 publications

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“…The emergence of computer fluid dynamics (CFD) has allowed the simulation of bioreactor models that take into account complex physical processes. At first, only fluid dynamics were considered [4], [5], but recent studies also include bio-reactions, leading to even more complex models [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Simulation of spatially distributed intensive biological systems

Haddon

Alcaraz-González

Hmissi

et al. 2020

2020 European Control Conference (ECC)

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We introduce a new type of bioreactor model that offers a representation of the spatial features of a pilot scale upflow fixed bed reactor. This model couples fluid dynamics and biological activity in order to obtain the internal gradient of substrate and biomass concentrations. We take advantage of reactor geometry to reduce the model to a single spatial dimension in the section containing the fixed bed but in other sections, we consider a 3D model with Navier-Stokes equations for the fluid dynamics. To represent the biological activity, we use a 2 step model and for the substrates, advectiondiffusion-reaction equations. We only consider the biomasses that are attached in the fixed bed section and to take into account crowding effects, we model their growth with a density dependent function. We show that this model can reproduce the spatial gradient of experimental data and helps to better understand the internal dynamics of the reactor.

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Section: Introductionmentioning

confidence: 99%

Simulation of spatially distributed intensive biological systems

Haddon

Alcaraz-González

Hmissi

et al. 2020

2020 European Control Conference (ECC)

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show abstract

“…At present it is used as a complementary approach with models that describe biochemical reactions through dynamic integration. However, recent studies have looked at using CFD models with biological kinetics and advection-diffusion transport of soluble metabolites and biomass, in a similar way to the methods for modelling spatially realised biofilm growth [172,173].…”

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Wade

2020

Processes

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Mathematical modelling of bioprocesses has a long and notable history, with eminent contributions from fields including microbiology, ecology, biophysics, chemistry, statistics, control theory and mathematical theory. This richness of ideas and breadth of concepts provide great motivation for inquisitive engineers and intrepid scientists to try their hand at modelling, and this collaboration of disciplines has also delivered significant milestones in the quality and application of models for both theoretical and practical interrogation of engineered biological systems. The focus of this review is the anaerobic digestion process, which, as a technology that has come in and out of fashion, remains a fundamental process for addressing the global climate emergency. Whether with conventional anaerobic digestion systems, biorefineries, or other anaerobic technologies, mathematical models are important tools that are used to design, monitor, control and optimise the process. Both highly structured, mechanistic models and data-driven approaches have been used extensively over half a decade, but recent advances in computational capacity, scientific understanding and diversity and quality of process data, presents an opportunity for the development of new modelling paradigms, augmentation of existing methods, or even incorporation of tools from other disciplines, to ensure that anaerobic digestion research can remain resilient and relevant in the face of emerging and future challenges.

show abstract

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Not Just Numbers: Mathematical Modelling and its Contribution to Anaerobic Digestion Processes

Wade¹

2020

Preprint

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Mathematical modelling of bioprocesses has a long and notable history, with eminent contributions from fields including microbiology, ecology, biophysics, chemistry, statistics, control theory and mathematical theory. This richness of ideas and breadth of concepts provide great motivation for inquisitive engineers and intrepid scientists to try their hand at modelling, and this collaboration of disciplines has also delivered significant milestones in the quality and application of models for both theoretical and practical interrogation of engineered biological systems. The focus of this review is the anaerobic digestion process, which, as a technology that has come in and out of fashion, still remains a fundamental process for addressing the global climate emergency. Whether with conventional anaerobic digestion systems, biorefineries, or other anaerobic technologies, mathematical models are important tools that are used to design, monitor, control and optimise the process. Both highly structured, mechanistic models and data-driven approaches have been used extensively over half a decade, but recent advances in computational capacity, scientific understanding and diversity and quality of process data, presents an opportunity for the development of new modelling paradigms, augmentation of existing methods, or even incorporation of tools from other disciplines, to ensure that anaerobic digestion research can remain resilient and relevant in the face of emerging and future challenges.

show abstract

A fully Lagrangian computational model for the integration of mixing and biochemical reactions in anaerobic digestion

Cited by 29 publications

References 46 publications

Simulation of spatially distributed intensive biological systems

Simulation of spatially distributed intensive biological systems

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Not Just Numbers: Mathematical Modelling and its Contribution to Anaerobic Digestion Processes

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