Publication detail

Reducing chemical oxygen demand from low strength wastewater: A novel application of fuzzy logic based simulation in MATLAB

Zahmatkesh, S., Klemeš, J.J., Bokhari, A., Rezakhani, Y., Wang, C., Sillanpaa, M., Amesho, K., Ahmed, W.S.

Original Title

Reducing chemical oxygen demand from low strength wastewater: A novel application of fuzzy logic based simulation in MATLAB

Type

journal article in Web of Science

Language

English

Original Abstract

Wastewater reuse is a significant challenge around the world, especially in arid and semi-arid regions. In order to analyse wastewater reuse applications, chemical oxygen demand (COD) is an essential factor for tertiary treatment processes. The purpose of this study is to design an approach to evaluate COD removal from low-strength wastewater (COD 70 mg/L) for reuse. This algorithm involves two steps: 1) Activated carbon-activated sludge (AC-AS) and activated sludge-algae (AS-Algae) were investigated, and 2) Optimal conditions were determined through statistical analysis of data. Despite its inherent advantages and robustness, fuzzy logic is a well-recognised alternative algorithm in control applications. As a result of the AC-AS process, an 85% COD removal rate was achieved in 8 hours by combining 0.05 g/L AC and 5 mL/L AS. Under optimal experimental conditions (5 mL/L of AS and 7 mL/L of Algae), a 60% COD removal rate in 7 h was achieved for the AS-Algal process. Both the AC-AS and the AS-Algal systems were found to have 85% and 59% removal efficiencies, respectively. Experimental and predicted values of the AC-AS system and the AS-algal system showed excellent correlation, with a determination coefficient of 0.99 (AC-AS system) and 0.93 (AS-algal system).

Keywords

Activated carbon; Activated sludge; Chemical oxygen demand; Fuzzy logic; Wastewater reuse

Authors

Zahmatkesh, S., Klemeš, J.J., Bokhari, A., Rezakhani, Y., Wang, C., Sillanpaa, M., Amesho, K., Ahmed, W.S.

Released

1. 10. 2022

Publisher

Elsevier Ltd

ISBN

0098-1354

Periodical

Computers and Chemical Engineering

Number

166

State

United States of America

Pages from

107944

Pages to

107944

Pages count

9

URL

https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0098135422002824

BibTex

@article{BUT179147,
  author="Jiří {Klemeš} and Syed Awais Ali Shah {Bokhari}",
  title="Reducing chemical oxygen demand from low strength wastewater: A novel application of fuzzy logic based simulation in MATLAB",
  journal="Computers and Chemical Engineering",
  year="2022",
  number="166",
  pages="107944--107944",
  doi="10.1016/j.compchemeng.2022.107944",
  issn="0098-1354",
  url="https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0098135422002824"
}