Development of a Simplified Mathematical Model for Anaerobic Digestion

Loganath, R.; Mazumder, Debabrata

doi:10.1007/978-981-13-7071-7_51

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…Therefore, more studies are required to enhance the accuracy of these models. A simplified mathematical model was constructed and showed an easy-to-solve procedure [94], but the simplification of substrate concentration facing the half-velocity constant could affect the accuracy of the solution. In addition, the ADSM model was created in order to predict VFA, pH, Alk, and methane with greater accuracy than ADM1 [98], but some deviations were observed in the simulation of the full-scale AD, and it was fitted only to simulate wastewater treatment.…”

Section: Discussion and Challengesmentioning

confidence: 99%

“…Due to the complexity and the non-linearity of the ADM1 model, many research studies developed simple mathematical models derived from ADM1, which took into consideration just two or three phases of the AD process in order to predict methane production, inhibition factors, and reactor design [93]. Loganath constructed a simplified AD mathematical model based on consecutive reactions, which analyzed the three-step process of AD (hydrolysis, acidogenesis, and methanogenesis), and could eventually predict the final substrate concentration in each stage by a simple solution procedure (4) [94]. In another study, a simplified model of the AD process was established based on the acidogenesis (whereby organic substrates are degraded into VFAs) and methanogenesis (whereby VFAs are converted to methane) phases.…”

Section: Mathematical Modeling Of the Ad Systemmentioning

confidence: 99%

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Recovery of Household Waste by Generation of Biogas as Energy and Compost as Bio-Fertilizer—A Review

et al. 2021

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Nowadays, organic waste and especially household waste represents a significant global issue due to population growth. The anaerobic digestion (AD) process is an essential operation contributing powerfully to the valorization of organic waste including food waste in terms of renewable energy generation (biogas) and the rich-nutrient residue that can be utilized as bio-fertilizer. Thus, this process (AD) allows for good recovery of household waste by generating biogas and compost. However, the AD operation has been affected by several key factors. In this paper, we aim to involve different critical parameters influencing the AD process, including temperature, pH, organic loading rate (OLR), carbon to nitrogen ratio (C/N), and total solid content (TS(%)). Further, the paper highlights the inhibition caused by the excessive accumulation of volatile fatty acids (VFAs) and ammoniac, which exhibits the positive effects of co-digestion, pretreatment methods, and mixing techniques for maintaining process stability and enhancing biogas production. We analyze some current mathematical models explored in the literature, such as distinct generic, non-structural, combined, and kinetic first-order models. Finally, the study discusses challenges, provides some possible solutions, and a future perspective that promises to be a highly useful resource for researchers working in the field of household waste recovery for the generation of biogas.

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Section: Discussion and Challengesmentioning

confidence: 99%

Section: Mathematical Modeling Of the Ad Systemmentioning

confidence: 99%

Recovery of Household Waste by Generation of Biogas as Energy and Compost as Bio-Fertilizer—A Review

et al. 2021

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“…For this reason, most of the reported kinetic models consider reduced models that are adjusted to the specific conditions of each experimental test. For example, they can be used for the treatment of residues and organic wastes, such as lignocellulose, 28,29 animal manure, 30,31 food waste, 32,33 and sewage sludge. 34,35 These models are proposed for their applications in specific substrates and operating conditions, both of which limit their adaptation to other case studies.…”

Section: Introductionmentioning

confidence: 99%

A simple unstructured kinetic model for anaerobic treatment of a class of agro‐industrial waste

B.-Arroyo

Méndez‐Acosta²,

García-Sandoval³

et al. 2022

J of Chemical Tech & Biotech

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BACKGROUND Dynamic modeling of the anaerobic treatment of agro‐industrial waste can help determine optimal operating conditions to maximize the process performance. For this, it is necessary to select an appropriate model and adapt it to the specific conditions of the substrate. In this work, a simple unstructured kinetic model for the anaerobic treatment of different agro‐industrial waste is proposed. The proposed model considers the three most relevant stages of anaerobic digestion (AD) and can be adapted for the treatment of different substrates, modes of operation (batch or continuous), and/or generated products (VFA or methane production), thus requiring a minimum of process macroscopic measurements. RESULTS To evaluate the scope of the model, two case studies were analyzed: (i) methane production from tequila vinasse and agave hydrolysates, and (ii) volatile fatty acids (VFA) and biogas production from raw cheese whey. For each case, parameter estimations were performed using the Levenberg – Marquardt algorithm, which yielded a simplified model with high determination coefficients (R2 > 0.95). Moreover, the kinetic parameters estimated were consistent physically and statistically. CONCLUSION Numerical results show that the proposed model can satisfactorily describe the dynamic behavior of the key variables of the three types of agro‐industrial waste evaluated. Therefore, the proposed model might be advantageous to determine the conditions that maximize performance without risking process stability. © 2022 Society of Chemical Industry (SCI).

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“…There are various substances like fibrinogen and albumin that produce a clot. To prevent such clotting a huge amount of water is used in slaughtering operation (Loganath and Mazumder, 2018c; 2020). Treatment of blood containing wastewater is reported to have accomplished satisfactorily by anaerobic digestion.…”

Section: Introductionmentioning

confidence: 99%

Performance study on enlarged‐clarifier hybrid upflow anaerobic sludge blanket reactor for treating the slaughterhouse wastewater

Loganath

Mazumder

2020

Water & Environment J

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The performance of an Enlarged-Clarifier Hybrid Upflow Anaerobic Sludge Blanket (EC-HUASB) reactor in treating slaughterhouse wastewater under the mesophilic temperature was studied. The reactor was started-up with the well-grown anaerobic digested sludge from a dairy farm, which was subsequently acclimated with real slaughterhouse wastewater. The Clarifier section of the HUASB was also enlarged to improve its performance for removal of Total Suspended Solids (TSS). The reactor performance was monitored in respect of pH, MLSS, MLVSS, COD, Volatile Fatty Acids (VFAs) and Alkalinity. The performance of EC-HUASB reactor was studied under the organic loading rate (OLR) ranging between 3.03 and 38.19 kg COD/m 3 /day under the hydraulic retention time (HRT) of 24 and 6 h respectively. Maximum values of COD and TSS removal were recorded as 95.8 and 98% respectively under the OLR of 18.75 kg COD/m 3 /day at 10 h HRT, which also exhibited 61.5 L/day of methane production.

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Development of a Simplified Mathematical Model for Anaerobic Digestion

Cited by 6 publications

References 28 publications

Recovery of Household Waste by Generation of Biogas as Energy and Compost as Bio-Fertilizer—A Review

Recovery of Household Waste by Generation of Biogas as Energy and Compost as Bio-Fertilizer—A Review

A simple unstructured kinetic model for anaerobic treatment of a class of agro‐industrial waste

Performance study on enlarged‐clarifier hybrid upflow anaerobic sludge blanket reactor for treating the slaughterhouse wastewater

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