Anaerobic digestion process modeling using Kohonen self-organising maps

Anjali Ramachandran, Rabee Rustum, Adebayo J. Adeloye

Research output: Contribution to journalArticle

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.
LanguageEnglish
Article numbere01511
JournalHeliyon
Volume5
Issue number4
Early online date15 Apr 2019
DOIs
Publication statusPublished - Apr 2019

Fingerprint

Anaerobic digestion
Self organizing maps
modeling
Growth kinetics
Gases
Wastewater treatment
Methane
gas
methane
Substrates
substrate
kinetics
methodology
anaerobic digestion
parameter
energy

Keywords

  • Biotechnology
  • Computer science
  • Environmental science

ASJC Scopus subject areas

  • General

Cite this

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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.",
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Anaerobic digestion process modeling using Kohonen self-organising maps. / Ramachandran, Anjali; Rustum, Rabee; Adeloye, Adebayo J.

In: Heliyon, Vol. 5, No. 4, e01511, 04.2019.

Research output: Contribution to journalArticle

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