Enhancing thermophilic anaerobic co-digestion of sewage sludge and food waste with biogas residue biochar

Liu, Hongbo; Wang, Xingkang; Fang, Yueying; Lai, Wenjia; Xu, Suyun; Lichtfouse, Éric

doi:10.1016/j.renene.2022.02.044

Cited by 52 publications

(14 citation statements)

References 60 publications

(77 reference statements)

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“…Psychrophilic (< 20°C), mesophilic (30-40°C), and thermophilic (50-60°C) temperatures are all common temperatures for the AD process [13,14]. Several studies have explored the potential for biogas production from municipal wastewater sludge under various thermal conditions [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Temperature Downshift Influences on Anaerobic Digestion in the Treatment of Municipal Wastewater Sludge

Sudiartha

Imai

2022

J. of Wat. & Envir. Tech.

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Operating temperature significantly affects biogas output, process stability, and microbial communities involved in anaerobic digestion. There are several unanswered questions regarding how microbial communities adapt in correlation with biogas production performance, especially when a digester fails to maintain thermophilic conditions. In this study, long-term lab-scale anaerobic digestion was carried out using two fed-batch reactors at 55°C, with subsequent decreases in temperature to 48°C and 45°C. Within the first month of incubation, methane (CH 4 ) production increased by approximately 11.18% following a reduction in temperature from 55°C to 48°C. However, the methane production decreased by 33% after the temperature was downshifted to 45°C. Despite the difference in methane production, the thermophilic methanogen population in both reactors declined significantly in the first month with a temperature decrease. After two months of incubation, these methanogenic communities recovered faster at 48°C than at 45°C, which was highlighted by the rapid colonization of Methanosaeta, Methanobacterium, and Methanothermobacter. Notably, Methanosaeta was the most abundant methanogen under all temperature conditions, indicating its thermotolerance.

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Section: Introductionmentioning

confidence: 99%

An Investigation of Temperature Downshift Influences on Anaerobic Digestion in the Treatment of Municipal Wastewater Sludge

Sudiartha

Imai

2022

J. of Wat. & Envir. Tech.

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“…Furthermore, for a 1/1 ratio (co-dig 2), seven results from six studies are in 95% confidence interval (477–630 mL/g VS), to which the obtained score from this study also belongs (553 mL/g VS). The usage of biogas residue biochar showed a somewhat higher value of 675 mL/g VS [ 34 ]. On the other hand, the same study showed a minor yield of 461 mL when no biochar was used.…”

Section: Resultsmentioning

confidence: 99%

Characteristics of Biogas Production and Synergistic Effect of Primary Sludge and Food Waste Co-Digestion

et al. 2023

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Co-digestion implementation in wastewater treatment plants enhances biogas yield, so this research investigated the optimal ratio of biodegradable waste and sewage sludge. The increase in biogas production was investigated through batch tests using basic BMP equipment, while synergistic effects were evaluated by chemical oxygen demand (COD) balance. Analyses were performed in four volume basis ratios (3/1, 1/1, 1/3, 1/0) of primary sludge and food waste with added low food waste: 3.375%, 4.675%, and 5.35%, respectively. The best proportion was found to be 1/3 with the maximum biogas production (618.7 mL/g VS added) and the organic removal of 52.8% COD elimination. The highest enhancement rate was observed among co-digs 3/1 and 1/1 (105.72 mL/g VS). A positive correlation between biogas yield and COD removal is noticed while microbial flux required an optimal pH, value of 8 significantly decreased daily production rate. COD reductions further supported the synergistic impact; specifically, an additional 7.1%, 12.8%, and 17% of COD were converted into biogas during the co-digestions 1, 2, and 3, respectively. Three mathematical models were applied to estimate the kinetic parameters and check the accuracy of the experiment. The first-order model with a hydrolysis rate of 0.23–0.27 indicated rapidly biodegradable co-/substrates, modified Gompertz confirmed immediate commencement of co-digs through zero lag phase, while the Cone model had the best fit of over 99% for all trials. Finally, the study points out that the COD method based on linear dependence can be used for developing relatively accurate model for biogas potential estimation in anaerobic digestors. Supplementary Information The online version contains supplementary material available at 10.1007/s12155-023-10620-8.

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“…Simulation models development for the anaerobic digestion process of municipal solid wastes [28], or animal manure and sewage sludge [29,30], had been carried out with the aim of coping with the harmful effects of such disposals on the health of humans, animals, and the environment. In this study, the effect of elevated temperature was revealed as suitable to be explored with the feasibility of improving the methane yield of wheat straw as agricultural waste in anaerobic digestion, as it increased the rate of the process and made unnecessary harsh pretreatment techniques.…”

Section: Model Validationmentioning

confidence: 99%

Mathematical Model of a Thermophilic Anaerobic Digestion for Methane Production of Wheat Straw

et al. 2022

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This paper presents a newly created mathematical model of thermophilic anaerobic digestion of wheat straw carried out in a 2 dm3 bioreactor for methane production. Two batch processes, with 30 mL/dm3 and 35 mL/dm3 organic load, are carried out—one set for parameter identification and one set for model verification. The identification of model parameter values is based on dynamical experiments. It is fulfilled using two different techniques: deterministic sequential quadratic programming algorithm and metaheuristic genetic algorithm. Verification of the developed mathematical models is conducted based on the different data sets of the process. Both models predict the set of the experimental data for all considered process variables well. Genetic algorithm visually fits the data with a higher degree of accuracy, as confirmed by the numerical results for the objective function value.

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Enhancing thermophilic anaerobic co-digestion of sewage sludge and food waste with biogas residue biochar

Cited by 52 publications

References 60 publications

An Investigation of Temperature Downshift Influences on Anaerobic Digestion in the Treatment of Municipal Wastewater Sludge

An Investigation of Temperature Downshift Influences on Anaerobic Digestion in the Treatment of Municipal Wastewater Sludge

Characteristics of Biogas Production and Synergistic Effect of Primary Sludge and Food Waste Co-Digestion

Mathematical Model of a Thermophilic Anaerobic Digestion for Methane Production of Wheat Straw

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