Innovative artificial neural network approach for integrated biogas – wastewater treatment system modelling: Effect of plant operating parameters on process intensification

• Published in: Renewable & sustainable energy reviews Vol. 124; p. 109784
• Main Authors: Sakiewicz, P., Piotrowski, K., Ober, J., Karwot, J.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2020
• Subjects: Artificial neural network; Biogas production; Numerical model; Plant-operating parameters; Sensitivity study; Wastewater treatment plant; Wastewater treatment plant; Artificial neural network; Biogas production; Numerical model; Sensitivity study; Plant-operating parameters
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2020.109784

An anaerobic fermentation process for biogas production integrated with wastewater purification in a modern wastewater treatment plant (WWTP) of designed nominal capacity 27,000 m3/day was modelled using artificial neural networks (ANNs). Neural models were trained, validated, and tested based on real-scale industrial data (covering three years of continuous plant operation), considering both technological aspects of the process and treated wastewater quality. An innovative approach addressing the simultaneous effect of seven adjustable main plant operation parameters together with wastewater characteristics (five parameters) on biogas production is reported for the first time in the literature. A parameter sensitivity analysis indicated clearly the higher importance of the operation process parameters on the biogas yield compared to the wastewater quality (COD, BOD5, TSS, Pg, Ng). The operation process parameters were the subject of modelling and analysis in respect to new, innovative possibilities, and technological strategies for biogas yield enhancement. The ANN model presented can be used as a predictive tool, an important element in such complex processes as steering/control strategies or for their optimisation procedures, as well as in the testing of other promising process intensification and optimisation scenarios. •Complex interactions in an integrated biogas–wastewater treatment plant are modelled.•The effect of seven plant parameters together in a neural model is demonstrated for the first time.•The neural model addresses complex relations between the plant operation and wastewater quality.•A higher importance of plant operation variables on the biogas production is confirmed.•New, more effective strategies for biogas production intensification are formulated.