Multiobjective Optimization of an Electroxidation Process of Biologically Pre-Treated Landifill Leachate by Response Surface Methodology and Desirability Function Approach

AbstractThe optimization of the electrochemical step in a combined (biological and electro-oxidative) landfill leachate treatment was performed using a two stages approach, response surface methodology coupled with the desirability function. Four constraints were imposed, namely the discharge limit for COD (i.e. 160 mg / L), the maximization of color removal, the minimization of both residual chlorine and specific energy consumption. Each variable was modeled employing a second-order regression model. Analysis of variance (ANOVA) showed coefficient of determination (R

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Optimization of a rice cooking method using Response Surface Methodology with desirability function approach to minimize pesticide concentration

Food Chemistry ◽

10.1016/j.foodchem.2021.129364 ◽

2021 ◽

pp. 129364

Author(s):

María Belén Medina ◽

Silvia Liliana Resnik ◽

Martín Sebastián Munitz

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Desirability Function ◽

Function Approach ◽

Cooking Method ◽

Pesticide Concentration ◽

Desirability Function Approach

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One-pot stereoselective synthesis of chiral 1, 3-oxathiolane by Trichosporon laibachii lipase: Optimization by response surface methodology integrated a desirability function approach

Journal of Molecular Catalysis B Enzymatic ◽

10.1016/j.molcatb.2016.07.007 ◽

2016 ◽

Vol 133 ◽

pp. 27-34 ◽

Cited By ~ 7

Author(s):

Yuanyuan Zhang ◽

Xin Gao ◽

Caiyun Wang ◽

Zhenkun Zheng ◽

Lulu Wang ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Stereoselective Synthesis ◽

Desirability Function ◽

Function Approach ◽

One Pot ◽

Desirability Function Approach

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Analysis of the effects of dioctyl terephthalate obtained from polyethylene terephthalate wastes on concrete mortar: A response surface methodology based desirability function approach application

Journal of Cleaner Production ◽

10.1016/j.jclepro.2017.09.176 ◽

2018 ◽

Vol 170 ◽

pp. 437-445 ◽

Cited By ~ 22

Author(s):

Barış Şimşek ◽

Tayfun Uygunoğlu ◽

Haluk Korucu ◽

Mehmet Muhtar Kocakerim

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Polyethylene Terephthalate ◽

Desirability Function ◽

Function Approach ◽

Desirability Function Approach

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Multi-objective optimization of PMEDM using response surface methodology coupled with fuzzy based desirability function approach

Decision Science Letters ◽

10.5267/j.dsl.2017.1.004 ◽

2017 ◽

pp. 387-394 ◽

Cited By ~ 6

Author(s):

Munmun Bhaumik ◽

Kalipada Maity

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Desirability Function ◽

Function Approach ◽

Multi Objective Optimization ◽

Multi Objective ◽

Desirability Function Approach

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Using response surface methodology (RSM) for optimizing turbidity removal by electrocoagulation/electro-flotation in an internal loop airlift reactor

Water Science & Technology Water Supply ◽

10.2166/ws.2019.129 ◽

2019 ◽

Vol 19 (8) ◽

pp. 2476-2484 ◽

Cited By ~ 2

Author(s):

T. Ntambwe Kambuyi ◽

F. Eddaqaq ◽

A. Driouich ◽

B. Bejjany ◽

B. Lekhlif ◽

...

Keyword(s):

Response Surface Methodology ◽

Energy Consumption ◽

Response Surface ◽

Removal Rate ◽

Desirability Function ◽

Airlift Reactor ◽

Optimal Conditions ◽

Turbidity Removal ◽

Linear Interaction ◽

Internal Loop

Abstract Response surface methodology (RSM) is used to optimize the electrocoagulation/electro-flotation process applied for the removal of turbidity from surface water in an internal loop airlift reactor. Two flat aluminium electrodes are used in monopolar arrangement for the production of coagulants. The central composite design is used as a second-order mathematical model. The model describes the change of the measured responses of turbidity removal efficiency and energy consumption according to the initial conductivity (X1), applied voltage (X2), treatment time (X3) and inter-electrode distance (X4). The evaluation of the model fit quality is done by analysis of variance (ANOVA). Fisher's F-test is used to provide information about the linear, interaction and quadratic effects of factors. Multicriteria methodology, mainly the desirability function (D), is used to determine optimal conditions. The results show that, for a maximal desirability function D = 0.79, optimal conditions estimated are X1 = 1,487 μS/cm, X2 = 5 V, X3 = 6.5 min, X4 = 14 mm. The corresponding turbidity removal rate and energy consumption are 84.15% and 0.215 kWh/m3 respectively. A confirmation study is then carried out at laboratory scale using the optimal conditions estimated. The results show a turbidity removal rate of 72.05% and an energy consumption of 0.210 kWh/m3.

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