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.
English 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
en
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).
English 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 in English
Activated carbon; Activated sludge; Chemical oxygen demand; Fuzzy logic; Wastewater reuse
Released
01.10.2022
Publisher
Elsevier Ltd
ISSN
0098-1354
Number
166
Pages from–to
107944–107944
Pages count
9
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",
year="2022",
number="166",
month="October",
pages="107944--107944",
publisher="Elsevier Ltd",
issn="0098-1354"
}