Modelling and optimization of thermophilic anaerobic digestion using biowaste

Biowaste generation is considerably increasing multiple times recently due to various social and environmental changes like population growth, economic prosperity, globalisation etc. they contain different composition and generated at different stages of their life cycle. Though studies reported for recycle, reproduce and reuse of them, this investigation is unique by focussing to investigate the ideal circumstances for the production of biogas and methane from anaerobic digestion of vegetable waste using response surface methods and artificial neural networks with thermophilic temperature range. Thermophilic temperature of 20.78, organic loading rate of 0.2, pH of 8.81, agitation time of 5.8 and hydro retention time of 3 are the ideal input parameter values for the generation of biogas 3.03 m3 and methane% 186.08 with a desirability of 1. The Response surface model was surpassed by the Artificial Neural Network model.

Automated summary

Biowaste generation has been increasing due to various social and environmental changes, and they have different compositions and are generated at different stages. This study focuses on investigating the ideal conditions for producing biogas and methane from vegetable waste using anaerobic digestion at a thermophilic temperature range. The ideal input parameter values for generating biogas 3.03 m3 and methane% 186.08 with a desirability of 1 are temperature of 20.78, organic loading rate of 0.2, pH of 8.81, agitation time of 5.8, and hydro retention time of 3. The Artificial Neural Network model outperformed the Response Surface model.