2022
DOI: 10.1016/j.rser.2022.112288
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Review on anaerobic digestion models: Model classification & elaboration of process phenomena

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Cited by 59 publications
(30 citation statements)
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“…In anaerobic digestion, the graph of biogas accumulation is very important for observing the microbial growth rate of the system [ 37 ]. The relationship between biogas accumulation and time was investigated using 2 cm, 4 cm, 6 cm, 8 cm, and control, and the results are graphically represented in Figure 1 .…”
Section: Resultsmentioning
confidence: 99%
“…In anaerobic digestion, the graph of biogas accumulation is very important for observing the microbial growth rate of the system [ 37 ]. The relationship between biogas accumulation and time was investigated using 2 cm, 4 cm, 6 cm, 8 cm, and control, and the results are graphically represented in Figure 1 .…”
Section: Resultsmentioning
confidence: 99%
“…Kinetic models are important tools to quantify, predict and understand synergistic improvements in biogas production. Key factors obtained from these specific rate-limiting models include digestion rates, lag times and production rates 40 . In this study, two of the most applicable models in anaerobic digestion were used to simulate the cumulative biogas production data, the modified Gompertz model and first order kinetic model (Table S2 ).…”
Section: Resultsmentioning
confidence: 99%
“…The first order model was applied to fit the biogas data and evaluate the rate-limiting constant k. However, this model yielded a poor fit especially during the acclimation and 1st cycle with r 2 values ranging between 0.729 and 0.969 for all reactors. The first order model accounts for the exponential phase of the biogas production without incorporating the lag phase which could explain the low r 2 values obtained 37 , 40 . By removing the data points corresponding to the lag phase, an improved fit was observed with r 2 ranging between 0.94 and 1.00 for all reactors and cycles.…”
Section: Resultsmentioning
confidence: 99%
“…Kinetic models are useful for quantifying, predicting, and understanding synergistic biogas production gains. Digestion rates, lag durations, and output rates are among the key characteristics derived from these rate-limiting models (Emebu et al 2022). Determining the kinetic factors and parameters that could affect the process, is a first step towards designing a full scale plant.…”
Section: Kinetic Study Discussionmentioning
confidence: 99%
“…The first-order model only accounts for the exponential phase of biogas generation, leaving out the lag phase, which could explain the low r2 values found. (Emebu et al, 2022;Zahan et al, 2018).…”
Section: Kinetic Study Discussionmentioning
confidence: 99%