Modelling the Effects of Dilute Alkaline Pretreatment of Lignocellulosic Biomass on Biogas Production
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Abstract
This paper simulated an experimental data on biogas production initially aimed to determine the effect of different concentrations of NaOH on the pretreatment of lignocellulosic biomass for possible application in co-digestion with cow dung (CD) and food waste (FW). The data were divided in training and validation subgroups and simulation was run using the nonlinear regression models (modified Gompertz and Transference function models). The modified Gompertz model fitted well with the dataset obtained for 5 and 7% NaOH pretreated with R-squared of 0.999 for both concentrations and RMSE of 0.004 and 0.397 respectively. The Transference function model best fitted the data obtained for 6% NaOH pretreated biomass with an R-squared of 0.997 and RMSE of 0.03. Generally, both models have shown good prediction capacities with the data used in the study. Both experimental data and their simulations have shown that the concentrations of NaOH in solutions used for the pretreatment of biomass have affected the retention time, cumulative gas production, intermediary processes and the methanogenic activities.
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