Application of Anaerobic Digestion Model No. 1 for modeling anaerobic digestion of vegetable crop residues: Fractionation of crystalline cellulose

Li, Pengfei; Pei, Zhanjiang; Liu, Di; Shi, Fengmei; Wang, Su; Li, Wenzhe; Sun, Yong; Liu, Jie; Gao, Yabing; Yu, Qiuyue

doi:10.1016/j.jclepro.2020.124865

Cited by 20 publications

(3 citation statements)

References 38 publications

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“…The gas law can be used to calculate the pressure of each gas, with all gases being interpreted as an ideal gas at the equivalent temperature with the liquid phase components. As a result, each gas component's partial pressure is governed by the ideal gas law, as shown in Equations ( 7)- (9). The denominators 16…”

Section: Gas Calculationsmentioning

confidence: 99%

“…The disintegration step was largely implemented to facilitate the modeling of activated sludge digestion. This allows for the lysis of biological sludge and complicated organic matter, with the composites acting as a pre-lysis store for degrading biomass [9]. The enzymes degrade proteins, carbohydrates, and lipids into monosaccharides, amino acids, long-chain fatty acids (LCFAs), and other molecules, which are subsequently hydrolyzed into monosaccharides, amino acids, LCFAs, and other molecules, see Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Methane Production through Anaerobic Co-Digestion of Sewage Sludge: A Modified ADM1 Model Approach

Mudzanani,

Phadi,

Iyuke

et al. 2023

Fermentation

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The International Water Association’s (IWA) established Anaerobic Digestion Model No. 1 (ADM1) was created to serve as a backup for experimental findings regarding the actual anaerobic digestion process. The previous model idea was adjusted and used to simulate an anaerobic digestion process in this study. Testing procedures, such as benchmark tests and balance checks, were performed in order to verify the accuracy of the implementation. These measures worked in tandem to ensure that the model was implemented flawlessly and without inconsistencies. The primary objective of this article is to construct a method that is based on the ADM1 for evaluating co-digestion and predicting the performance of the digestion process or methane yield based on the analyzed substrates’ physicochemical properties. Additional equations and simulations have been added to the standard model to create tools for evaluating the feasibility of anaerobic co-digestion. The study’s two most intriguing aspects are the optimal mixture and parameter dependence. The adjusted ADM1 is accurate in predicting the measured values of effluent COD, pH, methane, and produced biogas flows with a reasonable degree of accuracy, according to the validation results. This research shows how to use ADM1 in a wastewater treatment plant and other settings where anaerobic digestion is of interest.

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Section: Gas Calculationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing Methane Production through Anaerobic Co-Digestion of Sewage Sludge: A Modified ADM1 Model Approach

Mudzanani,

Phadi,

Iyuke

et al. 2023

Fermentation

View full text Add to dashboard Cite

show abstract

“…Default values of parameters are available from the literature [8,10] and are recommended for the digestion of municipal waste sludge, but they may not be appropriate for a wide range of organic wastes or for co-digestion applications [11][12][13]. Using dynamic data from a full-scale reactor may not be dynamic enough to cover all relevant operational conditions that the model should represent, since the quality of the results will depend on the variations that occur during normal operation [14].…”

Section: Introductionmentioning

confidence: 99%

Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling

Catenacci

Grana

Malpei

et al. 2021

Water

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Anaerobic co-digestion in wastewater treatment plants is looking increasingly like a straightforward solution to many issues arising from the operation of mono-digestion. Process modelling is relevant to predict plant behavior and its sensitivity to operational parameters, and to assess the feasibility of simultaneously feeding a digester with different organic wastes. Still, much work has to be completed to turn anaerobic digestion modelling into a reliable and practical tool. Indeed, the complex biochemical processes described in the ADM1 model require the identification of several parameters and many analytical determinations for substrate characterization. A combined protocol including batch Biochemical Methane Potential tests and analytical determinations is proposed and applied for substrate influent characterization to simulate a pilot-scale anaerobic digester where co-digestion of waste sludge and expired yogurt was operated. An iterative procedure was also developed to improve the fit of batch tests for kinetic parameter identification. The results are encouraging: the iterative procedure significantly reduced the Theil’s Inequality Coefficient (TIC), used to evaluate the goodness of fit of the model for alkalinity, total volatile fatty acids, pH, COD, volatile solids, and ammoniacal nitrogen. Improvements in the TIC values, compared to the first iteration, ranged between 30 and 58%.

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Potential and Opportunities of Waste Biomass Valorization Toward Sustainable Biomethane Production

Selvasembian

2024

ChemBioEng Reviews

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The increasing global population has led to a surge in waste production across various fields including agriculture, industry, marine, and household, posing significant waste management challenges. Concurrently, the world is facing an energy crisis, emphasizing the crucial need for sustainable and renewable energy sources. This comprehensive review examines the potential of biomethane production from diverse waste biomass. Feedstock characteristics; anaerobic digestion (AD); biochemical pathways; factors influencing AD; various pretreatment methods such as physical, chemical, biological, and combined; existing policies supporting biomethane production; and potential new policy implications are discussed in this review along with the significance of waste‐to‐energy integration. Our findings indicate that lignocellulosic wastes, primarily agricultural waste, stand out as the most efficient biomass source for biomethane production due to their characteristics such as high carbon/nitrogen ratio, low ash content, and their abundant availability. Among pretreatment methods, combined pretreatment emerges as the most promising option, offering flexibility and effectiveness in enhancing biomethane production. Additionally, the two‐stage digester configuration proves advantageous in overcoming limitations associated with single‐stage digesters such as pH inhibition. Altogether, the review highlights that biomethane production from waste biomass through AD offers a sustainable solution.

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Application of Anaerobic Digestion Model No. 1 for modeling anaerobic digestion of vegetable crop residues: Fractionation of crystalline cellulose

Cited by 20 publications

References 38 publications

Enhancing Methane Production through Anaerobic Co-Digestion of Sewage Sludge: A Modified ADM1 Model Approach

Enhancing Methane Production through Anaerobic Co-Digestion of Sewage Sludge: A Modified ADM1 Model Approach

Optimizing ADM1 Calibration and Input Characterization for Effective Co-Digestion Modelling

Potential and Opportunities of Waste Biomass Valorization Toward Sustainable Biomethane Production

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