Mathematical models comparison of biogas production from anaerobic digestion of microwave pretreated mixed sludge

Elagroudy, Sherien; Radwan, Ahmed G.; Banadda, Noble; Mostafa, Nagwan G.; Owusu, Prosper Achaw; Janajreh, Isam

doi:10.1016/j.renene.2020.03.166

Cited by 23 publications

(21 citation statements)

References 42 publications

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“…Instead of simple comparisons of resulting biomethane production, the modeling approach can provide a step forward towards an impartial routine comparison of the results obtained from a larger number of experiments. The results of biomethane production curve models described in Table 4 can more readily be coupled and compared with results from other studies as was suggested only recently (Weinrich et al, 2019;Elagroudy et al, 2020). Significant differences between the models were also observed for maximum rate methane production, where the Transfer model's estimations were up to 196% higher than those of the logistic model.…”

Section: Resultsmentioning

confidence: 81%

“…where µm is the maximum rate of methane production, A is the maximum methane yield, λ is the duration of the lag phase, y is the methane accumulated at time t, and is a shape factor (Huiliñir et al, 2014;Elagroudy et al, 2020).…”

Section: Kinetic Modellingmentioning

confidence: 99%

“…Batch experiments were performed to determine the effects of the three loading rates of crude glycerol on biogas production, to evaluate the contribution of accompanying TEs and inorganic salts on anaerobic digestion, and to determine the extent of crude glycerol degradation. The resulting methane production curves and the extent of residual methanol were investigated through modelling to determine the most appropriate organic loading of the current crude glycerol fraction, to identify the maximum daily methane production rates, and to enable further comparisons of modelled parameters as a step forward towards an impartial routine comparison of the results over a larger number of experiments (Elagroudy et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

et al. 2021

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In this study, crude glycerol from the biodiesel industry was tested as a co-substrate in biogas production. To investigate the influence of crude glycerol and the underlying trace element (TE) content on the efficiency of biomethane production, a batch experiment using Automatic Methane Potential Test System (AMPTS II) was carried out. The single addition of crude glycerol significantly contributed only to the total content of K (14.4%), Si (17.3%), and P (11.6%), whereas the contributions of other metals were within the range of other substrates. The addition of crude glycerol increased biomethane production, however, its utilization beyond 1% of total volume resulted in prolonged lag phase and final cessation of biomethane production. The negative effects of inorganic salts present in crude glycerol were reflected in progressively diminishing parts of glycerol and methanol being utilized in its anaerobic digestion, posing serious problems for daily routine use. A nonlinear least square regression analysis was performed to fit the Gompertz, Logistic, Transfer, and Richards models to biomethane production. The most suitable model was the Richards model, exhibiting the best fit to the experimental curves for complex substrates. Glycerol fractions remaining after biodiesel production have to be pre-tested for their negative effects on the content of TEs and inorganic salts, lag phase in biogas production, before they are used as co-substrates in biogas production phase.

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Section: Resultsmentioning

confidence: 81%

Section: Kinetic Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

et al. 2021

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“…Mathematical modeling represents a useful support to assess the optimal design and operating conditions of digesters through software simulations [22]. Predictive models are largely used to analyze the behavior of the biochemical systems, analyzing the effect of the variation of the operating parameters and determining the optimal set of design parameters.…”

Section: Introductionmentioning

confidence: 99%

A Review of the State of the Art of Biomethane Production: Recent Advancements and Integration of Renewable Energies

et al. 2021

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Anaerobic Digestion (AD) is a well-established process that is becoming increasingly popular, especially as a technology for organic waste treatment; the process produces biogas, which can be upgraded to biomethane, which can be used in the transport sector or injected into the natural gas grid. Considering the sensitivity of Anaerobic Digestion to several process parameters, mathematical modeling and numerical simulations can be useful to improve both design and control of the process. Therefore, several different modeling approaches were presented in the literature, aiming at providing suitable tools for the design and simulation of these systems. The purpose of this study is to analyze the recent advancements in the biomethane production from different points of view. Special attention is paid to the integration of this technology with additional renewable energy sources, such as solar, geothermal and wind, aimed at achieving a fully renewable biomethane production. In this case, auxiliary heat may be provided by solar thermal or geothermal energy, while wind or photovoltaic plants can provide auxiliary electricity. Recent advancements in plants design, biomethane production and mathematical modeling are shown in the paper, and the main challenges that these fields must face with are discussed. Considering the increasing interest of industries, public policy makers and researchers in this field, the efficiency and profitability such hybrid renewable solutions for biomethane production are expected to significantly improve in the next future, provided that suitable subsidies and funding policies are implemented to support their development.

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“…Así también, algunos investigadores llevaron a cabo modelos matemáticos en sus estudios para obtener parámetros cinéticos de la DA (Zwietering et al, 1990;Altaş, 2009;Li et al, 2012;Ware y Power, 2017;Nguyen et al, 2019;Almomani y Bhosale, 2020;Pererva et al, 2020;Tian et al, 2020;Elagroudy et al, 2020;Li et al, 2020). Los modelos matemáticos generalmente se refieren a la forma algebraica canónica, con coeficientes adimensionales, o se basan en ecuaciones que describen la dependencia de la velocidad de las reacciones químicas en función de la concentración de sustrato (Pererva et al, 2020).…”

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Modelación de la generación de metano a partir de suero lácteo y excreta de ganado en codigestión anaerobia

López-Aguilar

Barrón

Franco

et al. 2021

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Introducción: la producción de biogás es una alternativa sostenible para el aprovechamiento energético de los residuos orgánicos. Esta investigación presenta el estudio y modelación de la producción de biogás, generada por la codigestión de excreta de vaca y suero de leche. Método: se realizaron experimentos de Digestión Anaerobia (DA), utilizando reactores herméticos, a temperatura ambiente monitoreados por 75 días consecutivos con base en el método de potencial bioquímico de metano (BMP). Se utilizaron los modelos logísticos: exponencial de crecimiento máximo Gompertz y Richards modificados para representar la cinética del fenómeno de producción de metano. Resultados y discusiones: se determinó la tasa máxima de producción de metano, la duración de la fase lag, y el potencial de producción de metano acumulado. Se comparó la suma de cuadrados residual y el coeficiente de correlación para identificar el modelo matemático que mejor describe el fenómeno. Se encontró que existe un potencial para la generación de biogás y el aprovechamiento de los residuos experimentados en codigestión. Conclusiones: la experimentación y modelación matemática permitió describir el fenómeno de la producción de biogás, con residuos de la industria láctea y de los sistemas pecuarios. Los resultados de la investigación presentan el potencial de incentivar la producción de energía, en el sector agropecuario regional, a partir de la tecnología DA aprovechando los residuos de la industria láctea bajo el concepto de economía circular.

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Mathematical models comparison of biogas production from anaerobic digestion of microwave pretreated mixed sludge

Cited by 23 publications

References 42 publications

The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

A Review of the State of the Art of Biomethane Production: Recent Advancements and Integration of Renewable Energies

Modelación de la generación de metano a partir de suero lácteo y excreta de ganado en codigestión anaerobia

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