Application of artificial intelligence tools in wastewater and waste gas treatment systems

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Application of artificial intelligence tools in wastewater and waste gas treatment systems

Recent advances and prospects

Review (2024)

Author(s)

Shishir Kumar Behera

S. Karthika

Biswanath Mahanty

Saroj K. Meher

Mohd Zafar

Divya Baskaran

Ravi Rajamanickam

Raja Das

Kannan Pakshirajan

Abubakar M. Bilyaminu (IHE Delft Institute for Water Education)

Eldon R. Rene

Affiliation

External organisation

Machine learning Air pollution Resource recovery Wastewater treatment Artificial neural network Automation and control

DOI related publication

https://doi.org/10.1016/j.jenvman.2024.122386 Final published version

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https://resolver.tudelft.nl/uuid:d6a9fc12-ebb4-461d-8731-291c7e5a4adb

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Publication Year

2024

Language

English

Affiliation

External organisation

Volume number

370

Article number

122386

Downloads counter

152

Abstract

The non-linear complex relationships among the process variables in wastewater and waste gas treatment systems possess a significant challenge for real-time systems modelling. Data driven artificial intelligence (AI) tools are increasingly being adopted to predict the process performance, cost-effective process monitoring, and the control of different waste treatment systems, including those involving resource recovery. This review presents an in-depth analysis of the applications of emerging AI tools in physico-chemical and biological processes for the treatment of air pollutants, water and wastewater, and resource recovery processes. Additionally, the successful implementation of AI-controlled wastewater and waste gas treatment systems, along with real-time monitoring at the industrial scale are discussed.