Application of response surface methodology (RSM) in the treatment of final effluent from the sugar industry using Chitosan

Pambi, Ritha-Lorette Luti; Musonge, Paul

doi:10.2495/wp160191

Cited by 35 publications

(20 citation statements)

References 10 publications

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“…The responses are the dependent variables, their values depend on the levels of the factors. The arrangement of the Box Behnken Design (BBD) is based on the selected points from the three-level factorial [17]. This allows the coefficient of first-second order estimation to be the significant eqn (1).…”

Section: Introductionmentioning

confidence: 99%

Pre-Treatment of Industrial Mineral Oil Wastewater Using Response Surface Methodology

Tetteh¹,

Rathilal²,

Chollom³

2017

WIT Transactions on Ecology and the Environment

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This study focuses on the process optimization of coagulation floatation by cross-interaction effects of the following multiple factors: pH, coagulant dosage and floatation time on the response of chemical oxidation demand (COD), soap oil and grease (SOG), turbidity and total suspended solids (TSS). The results from the response surface methodology incorporated with Box Benken design (BBD) models reveals significant correlations and interactions between the manipulated and response variables. To establish the optimum pre-treatment conditions, the experiment used the design BBD, using Design Expert (Design Expert 10.0.3) software. This ensures that the process engineers and scientists gain a better understanding of the practical application of the experimental results over the conventional method of one-factor-at-time (OFAT). The recent trend in industrialization and population growth has indeed deepened the demand on the world's energy (oil) and water resources. However, the need to meet the significance of energy and water for sustainable social economy growth and development has resulted in extremely adverse effects on water and environmental pollution. South Africa, well known as a water scarcity country, has also intensified its policy and increased fines for offenders who do not meet its regulations and discharge limits. In this context, the treatment of industrial mineral oil wastewater, which is regarded as hazardous and harmful to the environment, derived from petrochemical and oil refinery industries, has a recovery value. This has raised attention for systematic technology and approach in recovering oil and water for reuse to conserve the supply of fresh water and energy resources.

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Section: Introductionmentioning

confidence: 99%

Pre-Treatment of Industrial Mineral Oil Wastewater Using Response Surface Methodology

Tetteh¹,

Rathilal²,

Chollom³

2017

WIT Transactions on Ecology and the Environment

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“…The quadratic terms in Equation 6 This means that the temperature increases with an increase in X up to a maximum value beyond which the temperature decreases with further increase of the distance above the disk [21]. The temperature always decreases with the increase of radial distance from the center line of the flame.…”

Section: Resultsmentioning

confidence: 99%

Response Surface Modeling of Fuel Rich and Fuel Lean Catalytic Combustion of the Stabilized Confined Turbulent Gaseous Diffusion Flames

Gendy¹,

Ghoneim²,

Zakhary³

2019

WJET

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The Response Surface Methodology (RSM) has been applied to explore the thermal structure of the experimentally studied catalytic combustion of stabilized confined turbulent gaseous diffusion flames. The Pt/γAl 2 O 3 and Pd/γAl 2 O 3 disc burners were situated in the combustion domain and the experiments were performed under both fuel-rich and fuel-lean conditions at a modified equivalence (fuel/air) ratio (Ø) of 0.75 and 0.25 respectively. The thermal structure of these catalytic flames developed over the Pt and Pd disc burners were inspected via measuring the mean temperature profiles in the radial direction at different discrete axial locations along the flames. The RSM considers the effect of the two operating parameters explicitly (r), the radial distance from the center line of the flame, and (x), axial distance along the flame over the disc, on the measured temperature of the flames and finds the predicted maximum temperature and the corresponding process variables. Also the RSM has been employed to elucidate such effects in the three and two dimensions and displays the location of the predicted maximum temperature.

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“…The RSM consists of statistical and mathematical techniques that allow the experimental data to behave according to the experiment, which is designed to obtain the best response possible for the factors studied. The RSM is among the most relevant multivariable methods recently employed in optimizing different types of industrial wastewater treatment processes, such as textile, palm oil, paint, oil, and sugar refinery (Bezerra et al, 2008;Pambi & Musonge 2016). The removal of COD from oil refinery wastewater was studied by Vasseghian (2016) using DAF, coupled with RSM.…”

Section: Introductionmentioning

confidence: 99%

“…The BBD, which is a modified form of the two-level factorial design, with three level arrangements (3 k ), allows the estimation of the first and second order coefficient of the empirical response model. For an effective response, all the levels must be adjusted to only three ratings (+1, 0 -1) separated by equal intervals (Bezerra et al, 2008;Pambi & Musonge 2016;Vasseghian, 2016). This study aims to investigate the effects of input variables, such as pH, coagulant dosage, and air saturator pressure on the removal of COD from oil refinery wastewater using the DAF treatment process.…”

Section: Introductionmentioning

confidence: 99%

Application of Response Surface Methodology (Rsm) - Reduction of Industrial Wastewater Chemical Oxygen Demand

Tetteh

Rathilal

2017

CBUP

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Industrial waste oil in water from oil refineries and petrochemical processing poses a major environmental concern. Environmental pollution from these wastewaters is increasing and will continue to rise due to a growing demand for petrochemical products and energy. The composition of these industrial wastes varies from location to location as well as with manufacturing processes. In terms of water quality issues, chemical oxygen demand is considered one of the most problematic in oil refinery wastewater treatment. This study applies the response surface methodology to obtain a response model for industrial wastewater treatment. Operating parameters are optimized to enhance the treatment performance. The study, focusing on the effects of input variables for chemical oxygen demand removal, was experimentally carried out using dissolved air floatation jar tests. The experimental matrix incorporated the Box-Behnken design in the response surface methodology. In addition, the procedure evaluated the effect of the input variables and their interactions to obtain the optimum condition for the extent of efficiency. The results show that the chemical oxygen demand removal was sensitive to the effect of the input variables and their interactions. The statistical analysis established that the quadratic model was highly significant with a low probability (< 0.0001), indicating that the correlated regression scattering was unlikely random. The predicted model results corresponded well to the experimental results, with a coefficient of determination close to 1.0. The response surface of the model is presented in three-dimensional plots. These study results show that the addition of a coagulant to remove chemical oxygen demand is effective under acidic conditions when response surface methodology is applied.UDC Classification: 502/504, 628.3; DOI: http://dx

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Application of response surface methodology (RSM) in the treatment of final effluent from the sugar industry using Chitosan

Cited by 35 publications

References 10 publications

Pre-Treatment of Industrial Mineral Oil Wastewater Using Response Surface Methodology

Pre-Treatment of Industrial Mineral Oil Wastewater Using Response Surface Methodology

Response Surface Modeling of Fuel Rich and Fuel Lean Catalytic Combustion of the Stabilized Confined Turbulent Gaseous Diffusion Flames

Application of Response Surface Methodology (Rsm) - Reduction of Industrial Wastewater Chemical Oxygen Demand

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