Predicting Biogasification Potential of Urban Wastewater Using Multiparameter Aggregated Index of Influent

Abstract

Municipal wastewater treatment plants have sufficient organic loading and can be utilized as reliable biogas generator. Prediction of biogasification potential is essential to maintain regularity in biogas supply and maximum utilization for energy recovery. Many attempts have been carried out to predict biogas using computational and logical models. Although due to uncertain characteristics of wastewater throughout the year, mathematical formulation of biogas found difficult. This research article has a novel approach to predict biogas using multi‐parameter aggregated index (MPAI), which has overcome the limitation of uneven characteristics. Indices for raw wastewater (MPAIinf) and digester feedstock (MPAIdig) were calculated. The correlation of biogas generation with R‐square value of 0.92 with MPAIinf and that of 0.87 for MPAIdig was found. A linear equation was established using the most significant parameter; BOD and these indices. Biogas prediction was found easy in all seasons with a precision of 93% when tested on site. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13119, 2019

Nomograms as a graphical model to predict biogas at municipal wastewater treatment plant using fuzzy indices

“…has been found very popular which is based on the substrate characteristics such as SS, MLSS, VFA, COD, and Nitrates, and their linear relation with biogas prediction. This approach has limitations due to uncertainty and insufficient database 15–18 …”

“…This approach has limitations due to uncertainty and insufficient database. [15][16][17][18] Biogas prediction is not only complex, but also nonlinear, multivariable, and consist uncertain biological process. Recently, soft computing tools were found more precise to estimate biogas.…”