The kinetics of process dependent ammonia inhibition of methanogenesis from acetic acid

Wilson, Christopher; Novak, John T.; Takács, Imre; Wett, Bernhard; Murthy, Sudhir

doi:10.1016/j.watres.2012.08.028

Cited by 33 publications

(21 citation statements)

References 43 publications

(39 reference statements)

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“…Wilson et al. () reported that increased TAN concentrations decreased the maximum growth rates for acetic acid degradation, although their tests were shorter term batch tests.…”

Section: Resultsmentioning

confidence: 99%

“…For example, in the case of highly loaded digesters associated with THP, Wilson et al. () made the case that the digester loading rates are not organic limited, but rather ammonia limited. Several approaches could be used to reduce ammonia inhibition such as reducing pH, thereby shifting the equilibria away from ammonia to ammonium which would work only if free ammonia is the inhibiting species.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Higgins

Beightol

DeBarbidillo

et al. 2019

Water Environment Research

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The goal of this study was to evaluate using feed dilution/solids retention time (SRT) control to manage potential ammonia inhibition in highly loaded anaerobic digesters after thermal hydrolysis. The study compared three digesters operated at the same target volatile solids (VS) loading rate of 5.5 kg VS/d‐m3, but at different feed concentrations resulting in SRTs of 10, 15, and 18 days. Lowering the feed concentration decreased the digester total ammonia nitrogen concentrations which averaged 1,580, 2,610, and 3,080 mg NH4+ ‐N/L for the 10‐, 15‐, and 18‐day digesters. The VS reduction and methane yields were equivalent for the 15‐ and 18‐day digesters and about 4% lower for the 10‐day digester. Ammonia inhibition of the 18‐day digester occurred early in the study, but the system acclimated over time. Feed dilution reduced the viscosity and the potential for volume expansion due to gas holdup and foaming. Practioner points Feed dilution reduces digester ammonia concentrations and inhibition potential without sacrificing digester performance at lower SRTs. Feed dilution greatly reduces digester viscosity and associated issues with digester volume expansion due to gas holdup and foaming. Operating at the lower SRT does not impact cake solids after dewatering and substantially decreases polymer demand for conditioning.

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“…Wilson et al. () reported that increased TAN concentrations decreased the maximum growth rates for acetic acid degradation, although their tests were shorter term batch tests.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Higgins

Beightol

DeBarbidillo

et al. 2019

Water Environment Research

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“…Over the past several years, several researchers have shown that the observed, or "extant", Ks in many biological treatment systems is not a constant, but in fact, is a function of the maximum substrate removal rate. Wilson et al (2012) showed that the Ks for acetic acid in anaerobic systems was a linear function of the maximum acetate removal rate. Shaw et al (2013) showed that the extant Ks for nitrate in denitrification is a function of the maximum denitrification rate.…”

mentioning

confidence: 99%

Toward Universal Half‐Saturation Coefficients: Describing Extant K_S as a Function of Diffusion

Shaw¹,

Takács²,

Pagilla³

et al. 2015

Water Environment Research

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Observed (extant) KS is not a constant and it is strongly influenced by diffusion. This paper argues that diffusion can be used to describe bacterial kinetic effects that are sometimes attributed to “K‐strategists” and, in fact, the physics of the system is the dominant mechanism affecting the apparent (extant) KS—not intrinsic biological characteristics—in real water resource recovery facility systems. Four different biological processes have been modeled using the “porter‐diffusion” model that was originally developed by Pasciak and Gavis (1974) for aquatic systems. The results demonstrate that diffusion is the dominant mechanism affecting KS in all four biological processes. Therefore, the authors argue that for treatment processes in which substrate concentrations are low, it is important to consider shifting to variable extant KS values or explicitly modeling the effects of diffusion.

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“…Wilson et al (2012) showed that the K S for acetic acid in anaerobic systems was a linear function of the maximum removal rate. showed that the extant K S for nitrate in denitrification is a function of the maximum denitrification rate.…”

Section: K S Is a Function Of Maximum Ratementioning

confidence: 99%

“…Further, they showed that the apparent extant K NO3 value can be described by using a diffusion model with a very small intrinsic K NO3 . Figure 1 shows data from , Wilson et al (2012) and data from two other wastewater treatment systems. Despite the systems being very different and for different substrates, all 4 show a strong correlation between K S and the maximum substrate removal rate.…”

Section: K S Is a Function Of Maximum Ratementioning

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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The kinetics of process dependent ammonia inhibition of methanogenesis from acetic acid

Cited by 33 publications

References 43 publications

Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Toward Universal Half‐Saturation Coefficients: Describing Extant K_S as a Function of Diffusion

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

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The kinetics of process dependent ammonia inhibition of methanogenesis from acetic acid

Cited by 33 publications

References 43 publications

Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Impacts of feed dilution and lower solids retention time on performance of thermal hydrolysis/anaerobic digestion

Toward Universal Half‐Saturation Coefficients: Describing Extant KS as a Function of Diffusion

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

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Product

Resources

About

Toward Universal Half‐Saturation Coefficients: Describing Extant K_S as a Function of Diffusion