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Predicting Biogasification Potential of Urban Wastewater Using Multiparameter Aggregated Index of Influent
Author(s) -
Anaokar G. S.,
Khambete A. K.,
Christian R. A.
Publication year - 2019
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.13119
Subject(s) - biogas , wastewater , engineering , raw material , sewage treatment , biogas production , mathematics , environmental engineering , waste management , chemistry , anaerobic digestion , organic chemistry , methane
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 (MPAI inf ) and digester feedstock (MPAI dig ) were calculated. The correlation of biogas generation with R‐square value of 0.92 with MPAI inf and that of 0.87 for MPAI dig 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