Anaerobic digestion process modeling using Kohonen self-organising maps

Abstract

Anaerobic digestion is a versatile method for wastewater treatment as it not only reduces the waste but also leads to production of renewable energy. Modeling of the anaerobic process requires knowledge of biological and physico-chemical conditions, bacterial growth kinetics, substrate utilization, and product synthesis. However, the complexity of the process calls for highly sophisticated models requiring very high level of expertise and knowledge in the subject. This paper presents an approach for modeling of anaerobic digestion process through which the correlation between various process parameters can be studied, knowledge can be extracted, and system behaviour can be predicted. The datasets have been generated using a synthetic Matlab-Simulink-Excel model and process modelling is done using Kohonen Self organizing maps (KSOM). The resulting KSOM provided a visual interpretation of the inter-relationships between parameters (OLR, Sac, pH, Shco3, Q, Sglu_in, Qgas_out, Sglu_out, and Sch4_gas_out) which would help semi-skilled operators for operation and control of such plants. The model accurately predicts the variations in methane and total gas output with respect to changes in input parameters as the correlation is more than 90% for most of the parameters. This methodology offers a platform for scientists and researchers in comprehending the system behaviour under various operating conditions, even with missing data.

The impact of atmospheric motions on source-specific black carbon and the induced direct radiative effects over a river-valley region

“…The other layer is the output layer in which the node H. Liu et al: The impact of atmospheric motions on the radiative effect of black carbon number is the output cluster number. The working principle of SOMs is to convert high-dimensional data with complex correlations into lower dimensions via geometrical relationships (Ramachandran et al, 2019). After the initial random weights are generated, the input data are compared with each weight, and the best match is defined as winning.…”

Kinetic Characteristics of Thermophilic Aerobic Membrane Reactor (TAMR) for Iraqi Municipal Wastewater

“…An analysis of biological treatment systems is required in order to describe and predict their performance, process modeling is accepted (Kalash et al, 2022). Thermophilic digestion, on the other hand, has received little attention despite various models described for mesophilic digestion reactors (Ramachandran et al, 2019).…”