Lattice Boltzmann simulation of biofilm clogging and chemical oxygen demand removal in porous media

Tian, Zhilong; Wang, Junye

doi:10.1002/aic.16661

Cited by 22 publications

(14 citation statements)

References 39 publications

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“…Other approaches combine such coupled LBM–finite difference approaches will cellular automata describing the growth of biomass (Knutson, Werth, & Valocchi, 2005; Tang, Valocchi, Werth, & Liu, 2013). More recently, a multispecies LBM is coupled with individual‐based‐models to simulate reactive transport and biofilm clogging in porous media (Tian & Wang, 2019). Key advances achieved in simulating microbial processes in LBMs are summarized in Table 1.…”

Section: Pore‐scale Modelingmentioning

confidence: 99%

Pore‐scale modeling of microbial activity: What we have and what we need

Golparvar

Kästner

Thullner

2021

Vadose Zone Journal

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Under water-unsaturated conditions, environmental factors (e.g., substrate, nutrients, O 2 , water activity, and porous structure) controlling microbial activity are highly variable in space and time. The physical structure of porous media (pore size distribution and pore arrangements) has been considered to have a significant role in nutrient (either substrate and/or its reaction partners like O 2) fluxes. Understanding what eventually controls microbial activity thus requires a sound description of the physical and chemical conditions in the pore space down to the microscale, as well as knowledge on how microorganisms respond to the energy and matter fluxes in their microscale environment. Microscale modeling has the advantage to resolve the processes down to their fundamental level. In recent years, microscale models describing the physical setting in unsaturated porous media such as soils, as well as growth and functional performance of microorganisms, have become increasingly established and are supported by new experimental techniques resolving the distribution of solid, liquid, and gaseous phases at microscale resolution. Still, integration of these components for simulation of microbial activities in a soil system at the microscale is scarce. This mini-review highlights the available approaches for porescale modeling of flow and transport processes in both saturated and unsaturated porous media, and for modeling the dynamics of microbial activity constrained by different soil boundary conditions. Further, it is discussed what is required in terms of model development and improved modeling concepts to achieve a holistic reactive transport modeling approach describing microbial activity at the pore scale. 1 INTRODUCTION Soil systems and, in general, porous media are interesting domains for many engineering and scientific disciplines (e.g.

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Section: Pore‐scale Modelingmentioning

confidence: 99%

Pore‐scale modeling of microbial activity: What we have and what we need

Golparvar

Kästner

Thullner

2021

Vadose Zone Journal

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“…It can be found that all models reach the maximum concentration after about 30 days (Figure 2b) and all models show higher concentration for nitrite oxidizer (Figure 2(c)). Hereafter we selected double Monod kinetics due to its better numerical behavior during simulations, besides it was more commonly used in previous studies …”

Section: Solution Strategy and Validationmentioning

confidence: 99%

“…Tang et al used a pore‐scale LBGK biofilm model and comparison with a microfluidic flow cell experiment. Tian and Wang investigated biofilm growth with nutrient flow in porous media. However, all these models considered only single bacteria without competition and cooperation of multispecies biofilms.…”

Section: Introductionmentioning

confidence: 99%

Pore‐scale modeling of competition and cooperation of multispecies biofilms for nutrients in changing environments

Delavar

Wang

2020

AIChE Journal

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In this article, we developed a pore-scale model of integrated lattice Boltzmann method and cellular automata to investigate competitive growth of aerobic nitrite and ammonium oxidizers in a bioreactor. The results showed that inlet nutrient concentrations have significant effects on maximum biofilm concentration, ratio of microorganisms' concentrations, growth pattern, and time. The local availability of oxygen could control the competition, resulting in different growth patterns. The coexistence of ammonium and nitrite in same inlet zone increased not only the biofilm concentration (7%) but also the ratio of microorganisms' concentrations (36%).Although this coexistence decreased the total biofilm concentration in some cases, it increased the growth rate about 25%. Changes of the maximum biomass concentration could change biofilm concentration of about 40% and microorganisms' concentrations ratio of about 30%. This framework provides a powerful tool to improve our understanding of dynamic interdependency of many complex microbial consortia systems with environments. K E Y W O R D S ammonium oxidizer, biofilm competitive growth, cellular automata, lattice Boltzmann, nitrite oxidizer

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“…For example, the diffusion coefficient of nutrients is significantly affected by temperature change. As a result, several important issues remain to be addressed in existing LBM models, such as the coupled LBM-CA models 7,11 and the coupled LBM-IbM model 2,6 : (a) effect of temperature and heat transfer on bacteria activities, (b) temperature-dependent variation in fluid properties, and (c) the stability of coupling thermal LBM-CA associated with effect of coupling temperature and biofilm growth. Thermal lattice Boltzmann model was successfully used to simulate thermal fluid problems under mass transport processes.…”

mentioning

confidence: 99%

“…Generate the solid and the fluid patterns in the domain and update boundary conditions (from initial condition or previous time step)2. Solve the hydrodynamic equation to capture the velocity field using the LBM coupled with the biofilm pattern, which will be used to simulate multicomponent transport3.…”

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confidence: 99%

Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

Delavar

Wang

2021

AIChE Journal

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This paper aims to develop an integrated thermal lattice Boltzmann model and cellular automata to investigate the effects of different temperatures and velocities on biofilm growth in a microbioreactor. Compared with previous studies this model accounted for direct effects of transient temperature on biofilm growth and indirect effects caused by changes of fluid properties. In addition, the algorithms have been improved on variations in solid boundary conditions, detachment and extra mass transport. Results showed that temperature affected both maximum biofilm concentration and growth rate. An increase of 10-75% in biofilm concentration was observed roughly due to increases in temperature. The time required to reach maximum concentration decreased from 30 days at a low temperature to 5 days at a high temperature. This demonstrates the capability of the present model to simulate biofilm behavior in the microbioreactor and its potential industrial and clinical applications.

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Lattice Boltzmann simulation of biofilm clogging and chemical oxygen demand removal in porous media

Cited by 22 publications

References 39 publications

Pore‐scale modeling of microbial activity: What we have and what we need

Pore‐scale modeling of microbial activity: What we have and what we need

Pore‐scale modeling of competition and cooperation of multispecies biofilms for nutrients in changing environments

Modeling coupled temperature and transport effects on biofilm growth using thermal lattice Boltzmann model

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