Study on anaerobic co-digestion of municipal sewage sludge and fruit and vegetable wastes: Methane production, microbial community and three-dimension fluorescence excitation-emission matrix analysis

Jiang, Xinru; Xie, Yandong; Liu, Minggang; Bin, Shi-Yu; Liu, Yang; Huan, Chenchen; Ji, Gaosheng; Wang, Xinhui; Yan, Zhiying; Lyu, Qingyang

doi:10.1016/j.biortech.2022.126748

Cited by 41 publications

(9 citation statements)

References 36 publications

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“…Out of 326 studies, 65 were obtained after screening, yielding 432 relevant AcoD data sets for meta-analysis and modeling, grouped according to their mono-digestion control, including the: (1) AM compared to AcoD of ruminant manure AM(RM):LB, − pig manure AM(PM):LB, chicken manure AM(CM):LB, AM:FW, ,− AM:slaughterhouse waste (SL), , AM:desugared molasses (MO), and AM:algae (AL); (2) LB mono-digestion compared to LB:AM(RM), ,,, LB:AM(PM), ,− LB:AM(CM), ,,, LB:FW, , LB:MO, and LB:SS; (3) SS mono-digestion to SS:fats, oils, grease (FOG), − SS:FW, − SS:AL, − SS:LB, , SS:high-carbon liquid substrate (L-C), and SS:glycerin (Gly); and (4) FW mono-digestion compared to FW:AM, ,, FW:LB, ,,− FW:SS, ,,,,, FW:high-nitrogen liquid substrate (L-N); as well as additional data sets ,…”

Section: Methodsmentioning

confidence: 99%

Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis

Chuenchart,

Surendra,

Khanal

2024

ACS EST Eng.

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Anaerobic co-digestion (AcoD) is becoming increasingly popular in the biogas industry for its numerous advantages over mono-digestion, including balanced nutrient profiles, enhanced process stability, synergistic methane production, and reduced greenhouse gas emissions. However, varying results across AcoD studies highlight the need for an extensive meta-analysis of a large data set to better understand these synergies. Here, we compared methane yields from 432 data sets, based on the ratio of means, from AcoD and mono-digestion. The relative synergistic index (RSI) revealed synergistic effects in AcoD of lignocellulosic biomass with animal manures, particularly pig (RSI = 1.91) and chicken manures (RSI = 1.71). Due to its rapid biodegradability, food waste AcoD also demonstrated synergistic effects with both animal manures (RSI = 1.28) and lignocellulosic biomass (RSI = 1.41). After regrouping data by high-carbon cosubstrates, interpretable machine learning models identified temperature, which accelerates the hydrolysis of lignocellulosic biomass and emulsification of fats, oils, and grease, as the key factor influencing methane yield. Furthermore, experimental validation using food waste and sewage sludge co-digestion confirmed the superiority of multivariable linear regression in predicting specific methane yield over other models in terms of simplicity and efficiency.

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Section: Methodsmentioning

confidence: 99%

Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis

Chuenchart,

Surendra,

Khanal

2024

ACS EST Eng.

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“…Producing and collecting CH 4 from SWS reduces water pollution and CH 4 emissions to the atmosphere ( Jiang et al, 2022 ), meanwhile using this renewable source of energy contributes to saving environmental resources ( Deng et al, 2022 ). However, the application of this approach in an industrial scale requires evaluation of biomass production and conversion systems, including feedstock selection and growth; harvest; storage conditions; bio-gasification; gas cleaning; gas use and residue processing ( Volschan Junior, de Almeida & Cammarota, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of biogas production from sewage sludge combining BMP experimental assays and the ADM1 model

Rocha,

Lazarino,

Oliveira

et al. 2024

PeerJ

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The Anaerobic Digestion Model No. 1 (ADM1) was employed to simulate methane (CH4) production in an anaerobic reactor (AR), and the associated bench-scale biochemical methane potential (BMP) assay, having sewage sludge (SWS) from a municipal wastewater treatment plant (WWTP) as feedstock. The SWS presented the following physical-chemical characteristics: pH (7.4–7.6), alkalinity (2,382 ± 100 mg CaCO3 L−1), tCOD (21,903 ± 1,000 mg L−1), TOC (895 ± 100 mg L−1), TS, TVS, and VSS (2.0%, 1.1%, and 0.8%, respectively). The BMP assay was conducted in six replicates under anaerobic mesophilic conditions (37 ± 0.1°C) for 11 days with a CH4 yield registered of 137.6 ± 6.39 NmL CH4 or 124 ± 6.72 CH4 g−1 VS−1. When the results obtained with the BMP bench-scale reactors were compared to the output generated with computational data by the ADM1 model having as input data the same initial sewage tCOD, similar cumulative CH4 production curves were obtained, indicating the accuracy of the ADM1 model. This approach allowed the characterization of the sludge and estimation of its biogas production potential. The combination of BMP assays, experimental data, and ADM1 model simulations provided a framework for studying anaerobic digestion (AD) processes.

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“…However, previous experiences demonstrated poor digestion efficiency with low methane yields, especially observed in single-stage systems, due to the lack of nutrients and trace elements in these wastes [2][3][4]. To increase methane production and improve anaerobic digestion stability, vegetable wastes can be co-digested with materials abundant in nutrients, minerals, and metals, including sewage sludge [5,6], organic fraction of municipal solid waste [7], and fish and abattoir waste [5]. The addition of co-substrates of animal and municipal origin reduces the effect of acidification observed during VW mono-digestion and keeps volatile solids concentration more balanced; however, at the same time, it requires a continual supply of these substrates to the digestion process [3].…”

Section: Introductionmentioning

confidence: 99%

Impact of Mineral Fertilizers on Anaerobic Digestion of Vegetable Waste

Borowski

Cieciura-Włoch

Boniecki³

et al. 2023

Bioenerg. Res.

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This study investigated the use of mineral fertilizers for the improvement of biogas production from vegetable wastes. Five fertilizers of various chemical compositions were selected, and two blends of vegetable wastes were composed for the experiments. The results demonstrated the highest improvement in biogas production using the mineral fertilizer SUBSTRAL dedicated to conifers, which was characterized by a diverse chemical composition and the lack of sulfur. The addition of this fertilizer in a dose of 1 g/kg increased methane and hydrogen yields by up to 49% compared to the control. The maximum methane production of 336 NmL/gVS was achieved after supplementation of the mixture containing corn, green peas, and green bean wastes, whereas the highest hydrogen yield of 49 NmL/gVS was reported in the experiments with the blend containing carrot, cauliflower, and broccoli. A simplified cost analysis showed that the use of 1 kg of mineral fertilizer to supplement the anaerobic digestion of vegetable waste for biogas production can generate additional revenues of up to 2399 €.

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Study on anaerobic co-digestion of municipal sewage sludge and fruit and vegetable wastes: Methane production, microbial community and three-dimension fluorescence excitation-emission matrix analysis

Cited by 41 publications

References 36 publications

Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis

Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis

Analysis of biogas production from sewage sludge combining BMP experimental assays and the ADM1 model

Impact of Mineral Fertilizers on Anaerobic Digestion of Vegetable Waste

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