Modeling microbial diversity in anaerobic digestion through an extended ADM1 model

Ramírez, Iván; Volcke, Eveline; Rajagopal, Rajinikanth; Steyer, Jean‐Philippe

doi:10.1016/j.watres.2009.03.034

Cited by 79 publications

(54 citation statements)

References 23 publications

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“…Anaerobic digestion processes are increasingly applied as a waste treatment technology (Van Lier et al, 2001Ramirez et al, 2009). One of its advantages is that the process requires no energy input for oxygenation but rather produces energy in the form of methane.…”

Section: Introductionmentioning

confidence: 99%

Maintenance affects the stability of a two-tiered microbial ‘food chain’?

Dolfing

Curtis

et al. 2011

Journal of Theoretical Biology

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Microbial 'food chains' are fundamentally different from canonical food chains in the sense that the waste products of the organisms on one trophic level are consumed by organisms of the next trophic level rather than the organisms themselves. In the present paper we introduce a generalised model of a two-tiered microbial 'food chain' with feedback inhibition, after applying an appropriate dimensionless transformation, and investigate its stability analytically. We then parameterised the model with consensus values for syntrophic propionate degradation compiled by the IWA Task Group for Mathematical Modelling of Anaerobic Digestion Processes. Consumption of energy for all processes other than growth is called maintenance. In the absence of maintenance and decay the microbial 'food chain' is intrinsically stable, but when decay is included in the description this is not necessarily the case. We point out that this is in analogy to canonical food chains where introduction of maintenance in the description of a stable (equilibrium or limit cycle) predator-prey system generates chaos.

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Section: Introductionmentioning

confidence: 99%

Maintenance affects the stability of a two-tiered microbial ‘food chain’?

Dolfing

Curtis

et al. 2011

Journal of Theoretical Biology

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“…Possible ranges of values for maximum growth rate (µ max ), yield (Y), affinity for the nitrogen substrate ( and ) and the affinity for oxygen ( and ) were determined based on an extensive literature study. For each considered microbial parameter, a normal bimodal distribution was constructed as in Ramirez et al (2009). The eight bimodal distributions were each typified by two means ( ) and standard deviations of , with k the average value of the range of values found in literature for the corresponding parameter.…”

Section: Case Study 2: Modeling Multispecies Competitionmentioning

confidence: 99%

“…Indeed, the possible role of suspended biomass in influencing performance in biofilm reactors, and the general lack of consideration of this fraction in biofilm models, was noted as a possible oversimplification by Morgenroth et al (2000b). Also, mathematical models including microbial community information have proven useful in investigating the link between observed microbial community shifts and the macroscopic reactor behavior (Downing & Nerenberg 2008;Volcke et al 2008;Ramirez et al 2009;Nielsen et al 2010;Brockmann et al 2013;Vannecke et al 2014). Taken together, these previous experimental studies suggests that, in at least some cases, increasing model complexity by incorporation of these often neglected features of biofilm systems (mesoscale heterogeneity in aggregate structure, and microbial diversity) may illuminate important aspects of both macroscale and microscale outputs.…”

Section: Introductionmentioning

confidence: 99%

Population balance models: a useful complementary modelling framework for future WWTP modelling

Torfs

Ducoste

Vanrolleghem

et al. 2014

Water Science and Technology

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Population balance models (PBMs) represent a powerful modelling framework for the description of the dynamics of properties that are characterised by distributions. This distribution of properties under transient conditions has been demonstrated in many chemical engineering applications. Modelling efforts of several current and future unit processes in wastewater treatment plants could potentially benefit from this framework, especially when distributed dynamics have a significant impact on the overall unit process performance. In these cases, current models that rely on average properties cannot sufficiently capture the true behaviour and even lead to completely wrong conclusions. Examples of distributed properties are bubble size, floc size, crystal size or granule size. In these cases, PBMs can be used to develop new knowledge that can be embedded in our current models to improve their predictive capability. Hence, PBMs should be regarded as a complementary modelling framework to biokinetic models. This paper provides an overview of current applications, future potential and limitations of PBMs in the field of wastewater treatment modelling, thereby looking over the fence to other scientific disciplines.

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“…Mikrobiologische Studien über die Population der Bakterien zeigen, dass die Vielfalt und Zusammensetzung der Population sehr komplex und variabel sind [31,32]. In der Praxis erhöht sich die Konzentration der Bakterien im Reaktor, wenn Gülle statt Abwasser als Substrat verwendet wird [28].…”

Section: Anpassung Der Aktiven Biomasseunclassified

Simulation of the Anaerobic Process for the Biogas Production

Rojas

Uhlenhut

Schlaak

et al. 2011

Chemie Ingenieur Technik

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Simulation of the Anaerobic Process for the Biogas ProductionA simulation of the anaerobic process of a biogas production for different substrates was realized. The simulation was based on the Anaerobic Digestion Model No. 1 (ADM1). The experimental work comprehends batch-experiments and experiments in a continuous stirred-tank reactor at lab scale with different substrates used in a biogas production. The comparison between the experiments and the simulations of the process leads to a modification in ADM1. Furthermore a classification of substrates was developed according to their biodegradability to meet the fractions of the ADM1 simulation.The simulations for the different substrates showed a satisfactory agreement with the measured values.

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Modeling microbial diversity in anaerobic digestion through an extended ADM1 model

Cited by 79 publications

References 23 publications

Maintenance affects the stability of a two-tiered microbial ‘food chain’?

Maintenance affects the stability of a two-tiered microbial ‘food chain’?

Population balance models: a useful complementary modelling framework for future WWTP modelling

Simulation of the Anaerobic Process for the Biogas Production

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