Dual-pool, three-phase kinetic model of anaerobic digestion in batch mode

Gouveia, Bruno Filipe Lopes; Duarte, Elizabeth; Santos, Aires dos; Fernandes, Edgar C.

doi:10.1016/j.heliyon.2022.e09194

Cited by 1 publication

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References 39 publications

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“…It was obtained by considering the steady state cases (Bernard et al, 2001), by considering the cell biomass as constant (Moharir et al, 2020), by using simple growth laws for bacteria, etc. (Bernard et al, 2001;Simeonov, 1999) or by adopting appropriate simplifications (Gouveia et al, 2022). But, because of their simplicity, this type of models cannot reflect the sensitivity of the hidden parameters influencing and governing the complex processes of real biotechnological systems.…”

Section: Introductionmentioning

confidence: 99%

Estimation of some AM2 model parameters from a derived empirical logistic function of methane production

Zaatri

2024

EUR J SUSTAIN DEV RES

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Because of its capability to convert organic wastes into renewable energy and into some components useful for agriculture, the anaerobic digestion technology can reduce greenhouse gas emissions in the atmosphere and the pollution. Thus, anaerobic digestion can contribute to achieving some of sustainable development goals. Consequently, many theoretical and empirical approaches are proposed for estimating, predicting and optimizing the methane produced by anaerobic digestion. In this context, the logistic function is a mathematical model that can be used to approximate empirical data of the temporal methane production in anaerobic digestion. In a previous paper, under some appropriate approximations, we have derived from AM2 model a single analytical expression in a form of a logistic function for describing the evolution of methane production in batch bioreactors. In the present paper, by comparing the three standard parameters associated with the classical empirical logistic function with that of the derived one from AM2 model; some relationships between them have been established. These relations are exploited for estimating some coefficients and parameters of AM2 model with respect to empiric logistic function parameters and vice-versa. Moreover, this possibility enables more qualitative insight about the evolution of the methane production and the influence of AM2 parameters and coefficients as well as their interaction over its processes.

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Section: Introductionmentioning

confidence: 99%

Estimation of some AM2 model parameters from a derived empirical logistic function of methane production

Zaatri

2024

EUR J SUSTAIN DEV RES

View full text Add to dashboard Cite

show abstract

Dual-pool, three-phase kinetic model of anaerobic digestion in batch mode

Cited by 1 publication

References 39 publications

Estimation of some AM2 model parameters from a derived empirical logistic function of methane production

Estimation of some AM2 model parameters from a derived empirical logistic function of methane production

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