Multilinear Regression Model for Biogas Production Prediction from Dry Anaerobic Digestion of OFMSW

Abstract

The aim of this study was to develop a multiple linear regression (MLR) model to predict the specific methane production (SMP) from dry anaerobic digestion (AD) of the organic fraction of municipal solid waste (OFMSW). A data set from an experimental test on a pilot-scale plug-flow reactor (PFR) including 332 observations was used to build the model. Pearson′s correlation matrix and principal component analysis (PCA) examined the relationships between variables. Six parameters, namely total volatile solid (TVSin), organic loading rate (OLR), hydraulic retention time (HRT), C/N ratio, lignin content and total volatile fatty acids (VFAs), had a significant correlation with SMP. Based on these outcomes, a simple and three multiple linear regression models (MLRs) were developed and validated. The simple linear regression model did not properly describe the data (R2 = 0.3). In turn, the MLR including all factors showed the optimal fitting ability (R2 = 0.91). Finally, the MLR including four uncorrelated explanatory variables of feedstock characteristics and operating parameters (e.g., TVSin, OLR, C/N ratio, and lignin content), resulted in the best compromise in terms of number of explanatory variables, model fitting and predictive ability (R2 = 0.87).

Comparing the effects of Al-based coagulants in waste activated sludge anaerobic digestion: Methane yield, kinetics and sludge implications

“…1 a, the cumulative production of methane in control and PAC-conditioned reactors were compared; whereas, AS-conditioned reactors were compared to the control in Fig. 1 b. BMP curves of control, PAC and AS group reactors were simulated according to the Modified Gompertz model (R 2 > 0.9827 in all cases, indicating that the fit between experimental data and model was satisfying) [ 38 ] and were shown in two different charts for better visualization.…”

Data Driven Modelling and Control Strategies to Improve Biogas Quality and Production from High Solids Anaerobic Digestion: A Mini Review

“…There is high research activity in data-driven models proposing black-box input-ouput NARMAX models and ANNs, but the results obtained at laboratory scale or in small pilot plants are rarely extended to large production plants. For example, the multiple linear regression model proposed by Rossi et al [138] predicts the specific methane production from a pilot plug-flow dry anaerobic digester, which could be implemented at industrial scale to improve production from existing plants that treat the organic fraction of MSW.…”

Anaerobic Digestion of Pig Slurry in Fixed-Bed and Expanded Granular Sludge Bed Reactors

“…Different data splits of 70/30, 80/20, and 90/10 between calibration and validation were employed. The best model was selected, taking into account R 2 from both splits and the normality of the residuals [37].…”