Solar nanophotocatalytic pretreatment of seawater: process optimization and performance evaluation using response surface methodology and genetic algorithm

AbstractIn reverse osmosis seawater treatment process, membrane fouling can be mitigated by degrading organic pollutants present in the feed seawater. The present study evaluates the effectiveness of employing solar photocatalysis using TiO2/ZnO/H2O2 to pretreat reverse osmosis (RO) feed seawater under solar irradiation. Process optimisation and performance evaluation were undertaken using response surface methodology-desirability function and RSM integrated with genetic algorithm (RSM-GA). Statistical analysis was performed to determine the interactive relationships and main effects of input factors such as TiO2 dosage, H2O2 dosage, pH, reaction time and ZnO dosage. The performance evaluation was determined in terms of percentage removal of total organic carbon (TOC) and chemical oxygen demand (COD). The obtained optimum values using RSM-GA evaluation for TOC and COD removal were found to be 76.5% and 63.9%, respectively. The predicted RSM-GA results correspond well with the experimental results (TOC removal = 73.3%, COD removal = 61.2%). Utilization of renewable solar energy coupled with optimum utilisation of nanophotocatalysts enables this technique to be a unique treatment process for RO pretreatment of seawater and membrane fouling mitigation.

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Decolorization of baker’s yeast wastewater by nanofiltration membrane and performance evaluation using response surface methodology (RSM)

Journal of the Iranian Chemical Society ◽

10.1007/s13738-021-02328-3 ◽

2021 ◽

Author(s):

M. Moradi ◽

A. A. Zinatizadeh ◽

S. Zinadini ◽

S. Azizi ◽

M. Maaza

Keyword(s):

Response Surface Methodology ◽

Performance Evaluation ◽

Response Surface ◽

Baker’S Yeast ◽

Nanofiltration Membrane ◽

Baker's Yeast ◽

And Performance ◽

Yeast Wastewater

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Optimization of operating parameters and performance evaluation of forced draft cooling tower using response surface methodology (RSM) and artificial neural network (ANN)

Journal of Mechanical Science and Technology ◽

10.1007/s12206-012-0323-9 ◽

2012 ◽

Vol 26 (5) ◽

pp. 1643-1650 ◽

Cited By ~ 14

Author(s):

Ramkumar Ramakrishnan ◽

Ragupathy Arumugam

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Performance Evaluation ◽

Response Surface ◽

Cooling Tower ◽

Operating Parameters ◽

Forced Draft ◽

And Performance ◽

Artificial Neural Network Ann

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Application of response surface methodology to optimize the COD removal efficiency of an EGSB reactor treating poultry slaughterhouse wastewater

Water Practice & Technology ◽

10.2166/wpt.2019.032 ◽

2019 ◽

Vol 14 (3) ◽

pp. 507-514 ◽

Cited By ~ 1

Author(s):

Y. Williams ◽

M. Basitere ◽

S. K. O. Ntwampe ◽

M. Ngongang ◽

M. Njoya ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Removal Efficiency ◽

Treatment Process ◽

High Strength ◽

Cod Removal ◽

Organic Loading Rate ◽

Wastewater Treatment Process ◽

Slaughterhouse Wastewater ◽

Cod Removal Efficiency

Abstract The poultry slaughterhouse industry consumes a large volume of potable water for bird processing and equipment cleaning, which culminates in the generation of high strength poultry slaughterhouse wastewater (PSW). The wastewater contains high concentrations of organic matter, suspended solids, nitrogen and nutrients. Most poultry slaughterhouses in South Africa (SA) discharge their wastewater into the municipal sewer system after primary treatment. Due to its high strength, PSW does not meet SA's industrial discharge standards. Discharge of untreated PSW to the environment raises environmental health concerns due to pollution of local rivers and fresh water sources, leading to odour generation and the spread of diseases. Thus, the development of a suitable wastewater treatment process for safe PSW discharge to the environment is a necessity. In this study, a biological PSW treatment process using an Expanded Granular Sludge Bed (EGSB) was evaluated. Response surface methodology coupled with central composite design was used to optimize the performance of the EGSB reactor. The dependant variable used for optimization was chemical oxygen demand (COD) removal as a function of two independent variables, hydraulic retention time (HRT) and organic loading rate (OLR). The interactions between HRT, OLR and COD removal were analysed, and a two factorial (2FI) regression was determined as suitable for COD removal modelling. The optimum COD removal of 93% was achieved at an OLR of 2 g-COD/L/d and HRT of 4.8 days. The model correlation coefficient (R2) of 0.980 indicates that it is a good fit and is suitable for predicting the EGSB's COD removal efficiency.

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Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm

Membranes ◽

10.3390/membranes11090681 ◽

2021 ◽

Vol 11 (9) ◽

pp. 681

Author(s):

Aleksandar Jokić ◽

Ivana Pajčin ◽

Nataša Lukić ◽

Vanja Vlajkov ◽

Arpad Kiralj ◽

...

Keyword(s):

Genetic Algorithm ◽

Response Surface Methodology ◽

Response Surface ◽

Membrane Fouling ◽

Specific Energy Consumption ◽

Downstream Processing ◽

Transmembrane Pressure ◽

Air Sparging ◽

Permeate Flux ◽

Cultivation Broth

Production of highly efficient biomass-based microbial biopesticides significantly depends on downstream processing in terms of obtaining as high concentration of viable cells as possible. Microfiltration is one of the recommended operations for microbial biomass separation, but its main limitation is permeate flux decrease due to the membrane fouling. The effect of air sparging as a hydrodynamic technique for improvement of permeate flux during microfiltration of Bacillus velezensis cultivation broth was investigated. Modeling of the microfiltration was performed using the response surface methodology, while desirability function approach and genetic algorithm were applied for optimization, i.e., maximization of permeate flux and minimization of specific energy consumption. The results have revealed antagonistic relationship between the investigated dependent variables. The optimized values of superficial feed velocity and transmembrane pressure were close to the mean values of the investigated value ranges (0.68 bar and 0.96 m/s, respectively), while the optimized value of superficial air velocity had a more narrow distribution around 0.25 m/s. The results of this study have revealed a significant improvement of microfiltration performance by applying air sparging, thus this flux improvement method should be further investigated in downstream processing of different bacterial cultivation broths.

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Development and performance evaluation of a motorized vegetables and fodder slicer using response surface methodology

Global Journal of Engineering and Technology Advances ◽

10.30574/gjeta.2020.4.3.0043 ◽

2020 ◽

Vol 4 (3) ◽

pp. 001-011

Author(s):

Etoamaihe Ukachi Julius ◽

Obi Kingsley

Keyword(s):

Response Surface Methodology ◽

Performance Evaluation ◽

Response Surface ◽

And Performance

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Development of a motorised plantain chipping machine and performance evaluation using response surface methodology

Poljoprivredna tehnika ◽

10.5937/poljteh2004016e ◽

2020 ◽

Vol 45 (4) ◽

pp. 16-28

Author(s):

Ukachi Etoamaihe ◽

Sylvia Isaac

Keyword(s):

Stainless Steel ◽

Response Surface Methodology ◽

Performance Evaluation ◽

Response Surface ◽

Connecting Rod ◽

Cutting Mechanism ◽

Inclination Angles ◽

Linear Effects ◽

And Performance ◽

Quadratic Effects

A motorised plantain chipping machine was developed. The machine is made up of a cutting device, a feeding mechanism, the support frame and an electric motor as a source of power. The cutting mechanism consists of the stainless steel blades, a connecting rod, a guide frame for the blades and pulleys. The blades are arranged perpendicular to the plantain tubers. During Performance Evaluation using Response Surface Methodology it was found that the chipping efficiency increased as the number of cutting blades are increased. Also the chipping efficiency increased with the speed of the machine but was not affected by the inclination angles of the blades. The linear effects of speed, the linear and quadratic effects of the number of blades significantly affected the chipping efficiency of the machine at 5% probability.

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