Theoretical models for prediction of methane production from anaerobic digestion: A critical review

Abstract

This work presents a critical analysis for three models group of methanogen potential prediction. The first group allows determination of the methane productivity of substrates, through three models (BMPthCOD, BMPthAtC and BMPthOFC). The BMPthCOD is suitable for a first approximation calculation. BMPthAtC and BMPthOFC are more accurate; however, require a complex characterization of substrates. The second models group predicts the cumulative methane production using seven models. The analysis shows that the Artificial Neuron Network (ANN) is more accurate; moreover, it allows carrying out an optimization of the cumulative methane production. The third group of models is particularly involved in the determination of daily flow of methane by a biodigester. The Hashimoto model, which uses the operating parameters, has been identified as the most suitable.

Biochemical Methane Potential (BMP) Assay Method for Anaerobic Digestion Research

“…The variability of the selection of the model is based on the substrates used. There are some common models that are more accurate and applicable than others [59]. Kafle and Chen [60] compared the first order model, to the modified Gompertz model and Chen and Hashimoto model.…”

The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

“…The lowest fit of the Gompertz and Transfer model cannot be related to any delay phase (λ=0). The introduction of the fourth parameter (υ) in the Richard equation is relevant for complex substrates and the accumulation of anaerobic digestion intermediates that can inhibit methane production (Ware and Power, 2017;Mohamed et al, 2018). In our case, the Richards equation proved that it can describe inhibitory cumulative methane production Kolbl Repinc et al: The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results -Vpliv surovega glicerola iz proizvodnje biodizla in vsebnosti njegovih elementov v sledovih na proizvodnjo biometana v šaržnem eksperimentu: modeliranje kot korak k enakovredni rutinski primerjavi rezultatov Acta hydrotechnica 34/60 (2021), 11-24, Ljubljana (crude glycerol (4 mL)) much better than other models.…”

“…There have been several kinetic models developed for maximum methane production from different substrates. For complex substrates, models like Gompertz and Transfer (Mohamed et al, 2018) are difficult to implement, but small amounts of data are required and are very simple to use compared to complex models such as ADM1 (Anaerobic digestion model 1) (Batstone et al, 2005;Frunzo et al, 2019), which are generally used for modelling continuous processes of anaerobic digestion.…”

Development of Kinetic Models For Biogas Production From Tofu Liquid Waste

“…These three models provide a better correlation coefficient to calculate the cumulative biogas. Besides, Logistic and Gompertz equations give the potential biogas production, maximum biogas production, and production delay time under various conditions based on the cumulative biogas production (Ali et al, 2018). Modified Gompertz also widely signifies the basis structure for biogas kinetic simulation (Oyejide et al, 2018).…”