Kinetic evaluation on the degradation process of anaerobic digestion fed with piggery wastewater at different OLRs

Cheng, Qunpeng; Chen, Zhihua; Deng, Fang; Liao, Yuhua; Xiao, Bo; Li, Jianfen

doi:10.1016/j.bej.2016.06.010

Cited by 16 publications

(7 citation statements)

References 23 publications

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“…In other words, the hydrolysis rate decreased with increasing organic content. These results are consistent with data reported by Wirth et al (2015) and Cheng et al (2016). These results are also consistent with the increasing lag phase at increasing organic loading as discussed in section 3.3.2.…”

Section: Kinetics Of the Hydrolysis Processsupporting

confidence: 93%

Relationship between the synergistic/antagonistic effect of anaerobic co-digestion and organic loading

Xie

Sivakumar

et al. 2017

International Biodeterioration & Biodegradation

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Results from this study reveal a notable relationship between the synergistic/antagonistic performance of sewage sludgefood waste anaerobic co-digestion (AcoD) and organic loading. At the same sewage sludge content, biomethane potential (BMP) assays show an increasing specific methane yield as the content of food waste increased to the optimum organic loading of 15 kg VS/m 3. Under these conditions, the specific methane yields experimentally measured in this study were considerably higher than those calculated by adding the specific methane individual co-substrates during mono-digestion. On the other hand, at above the optimum organic loading value, the antagonistic effect (i.e. lower specific methane yield compared to mono-digestion) was observed. The relationship between synergistic performance of AcoD and organic loading was also evidenced in the removal of volatile solids as well as chemical oxygen demand. Further analysis of the intermediate products show that methanogenesis was the rate limiting step during AcoD at a high organic loading value. As the organic loading increased, the digestion lag phase increased and the hydrolysis rate decreased.

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Section: Kinetics Of the Hydrolysis Processsupporting

confidence: 93%

Relationship between the synergistic/antagonistic effect of anaerobic co-digestion and organic loading

Xie

Sivakumar

et al. 2017

International Biodeterioration & Biodegradation

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“…The proposed kinetic equations depend on the substrate concentration via a first-order reaction (Eq. 7 and 8), in line with previously published papers by other authors [34][35][36] . Hydrolysis…”

Section: Kinetic Modellingsupporting

confidence: 89%

Modelling of the anaerobic semi-continuous co-digestion of sewage sludge and wine distillery wastewater

Ripoll

Ágabo-García

Solera

et al. 2020

Environ. Sci.: Water Res. Technol.

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“…To model the acidic inhibition of methanogens, numerous studies have been carried out using IWA Anaerobic Digestion Model No.1 (ADM1), which has been quite widely used for modelling anaerobic systems since its release in 2002 [17][18][19][20][21][22][23][24]. Since most of the studies model the inhibition phenomena using only pH or undissociated VFAs, this simplification often resulted in noticeable inconsistency against the measured operational data of the methane fermentation systems, particularly in the recovery phase from the inhibition [25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Upgrading ADM1 by Addition of Lag Phase Sub-model to Simulate Acidic Inhibition of Methanogenic Reactor

Sun

Zhang

Liu

et al. 2023

J. of Wat. & Envir. Tech.

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This study is aimed at improving calculation quality for IWA Anaerobic Digestion Model No.1 (ADM1) to simulate acidic failure of the methane fermentation systems and its performance recovery. The methanogen collected from digestate at a municipal wastewater treatment plant was cultivated in a lab-scale continuous reactor receiving acetate as a sole organic source. By varying the influent concentration during 400 days of operation, 6 datasets of acidification events were obtained to simulate the concentrations of acetate, VSS, pH, and the methane production rate. The ADM1 equipped with either pH sub-model or undissociated acetate sub-model could reproduce the deterioration of reactor performance in the acidic failure but totally failed to simulate the recovery in the subsequent lowered volumetric loading rate. The statistical analysis revealed both ADM1 models had relatively low correlation coefficient (Nash-Sutcliffe model efficiency coefficient (NSE)) of 0.31-0.38 although these were considerably improved from that without parameter calibration (NSE = −0.04). To cope with the mismatch, a lag phase sub-model was developed. The sub-model is composed of the remaining relative activity of the microorganism at which the inhibition peaked, and the half-saturation coefficient to express the specific length of lag phase. By adding the sub-model into the calibrated ADM1, NSE was significantly improved to 0.49-0.53.

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Kinetic evaluation on the degradation process of anaerobic digestion fed with piggery wastewater at different OLRs

Cited by 16 publications

References 23 publications

Relationship between the synergistic/antagonistic effect of anaerobic co-digestion and organic loading

Relationship between the synergistic/antagonistic effect of anaerobic co-digestion and organic loading

Modelling of the anaerobic semi-continuous co-digestion of sewage sludge and wine distillery wastewater

Upgrading ADM1 by Addition of Lag Phase Sub-model to Simulate Acidic Inhibition of Methanogenic Reactor

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