Original scientific paper
https://doi.org/10.15255/KUI.2021.085
Modelling and Multi-response Optimisation of Leachate Treatment by Electrocoagulation using Full Central Composite Design
Ridha Lessoued
; Process Engineering Laboratory, University of Kasdi Merbah, Ouargla, PO Box 511, 30 000, Ouargla, Algeria
Ahmet Azizi
; Faculty of Technology, University Amar Telidji of Laghouat, Highway Ghardaia post box G37 (M’kam) 03 000, Laghouat, Algeria
Moukhtar Lati
; New and Renewable Energy Development Laboratory in Arid and Saharan Zones, University of Ouargla, 30 000, Ouargla, Algeria
Toudert Ahmed Zaid
orcid.org/0000-0003-4499-2526
; Laboratory of Fossil Energy Recovery, Chemical Engineering Department, Nationale Polytechnique School, El Harrach 16 200, Algiers, Algeria
Abstract
Electrocoagulation has lately received much interest as an effective method for the treatment of landfill leachate because of its ease of use, low cost, and environmental friendliness. The present study aimed to investigate the reduction of chemical organic demand (COD), biological organic demand (BOD5), and turbidity from leachate by electrocoagulation process using aluminium electrodes. In order to achieve the maximum removal of pollutants, highlight the key effects of the variables and their simultaneous relationships, full central composite design was applied. Moreover, the backward model selection method using Bayesian Information Criterion and Akaike Information Criterion was carried out to determine the most suitable model with relevant effects. The optimum conditions indicated by the estimated quadratic models were initial pH (5.04), current density (407 A m–2), reaction time (74.6 min), and stirring speed (150 rpm), adjusted R2 of 99.82 %, 99.93 %, and 99.95 % for COD, BOD5, and turbidity, respectively. Electrocoagulation was also successful in achieving 90 % COD, 92.3 % BOD5, and 99.6 % turbidity removal efficiency. The findings indicated a satisfactory agreement between model forecasts and experimental values.
Keywords
wastewater; electrocoagulation; backward selection; central composite design; response surface methodology
Hrčak ID:
291435
URI
Publication date:
11.1.2023.
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