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

Tetteh, Emmanuel Kweinor; Rathilal, Sudesh

doi:10.12955/cbup.v5.1101

Cited by 9 publications

(11 citation statements)

References 10 publications

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“…Some of these include sugar and oil refinery wastewater (Tetteh & Rathilal, 2018) and biogas production (Menon et al, 2017). Therefore, the RSM is an efficient tool to control and stimulate the complex influential factors of the AD Response Surface Optimisation of Biogas Potential in Co-Digestion of Miscanthus Fuscus and Cow Dung process, to enhance the study of their interactive effects on biogas production (Kurniawan et al, 2014;Tetteh & Rathilal, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, BBD is arguably more efficient, compared to central composite design, due to its less number of runs (Protasov, 2018;Haris et al, 2018). However, it is not nearly as flexible compared to CCD, in terms of its ability to be conducted progressively (Kurniawan et al, 2014;Tetteh & Rathilal, 2017). This is because the BBD is efficient in estimating the coefficient of determination (R 2 ) for a specified model, experimental errors and good data fitness.…”

Section: Introductionmentioning

confidence: 99%

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Response Surface Optimisation of Biogas Potential in Co-Digestion of Miscanthus Fuscus and Cow Dung

Tetteh¹,

Amano²,

Asante-Sackey³

et al. 2018

IJTech

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In this study, the effects of co-digestion operating conditions for the enhancement of biogas production from Miscanthus Fuscus mixed with cow dung, was investigated. The aforementioned organic wastes are good substrate resources for anaerobic co-digestion (AD) due to their high content of easily biodegradable materials. This source of effective and ecofriendly technology as AD is for generating energy from organic waste. Response surface methodology (RSM) based on the Box-Behnken (BBD) design was employed to evaluate and optimise four process variables: pH, temperature, and hydraulic retention time (HRT) and feedstock inoculum (F/I) ratio on the biogas production. This study signifies the interactions between the process conditions, and identifies the most significant variables of control in order to maximise the biogas production. A developed regression model established the relationship between the significant effect of the input variables and the response. The analysis of variance (ANOVA) showed a high coefficient of determination value (R 2 = 0.9997) at 95% confidence level. The results show that the F/I ratio has a major impact on biogas production. The model developed predicted values which were well fitted (P<0.005) with the values obtained from the experimental data. Thus, the regression model confirmed findings. The RSM and BBD employed proved to be economical and a reliable tool for modelling, optimizing and studying the interactive effects of the four process factors (pH, temperature, HRT and F/I ratio) for the biogas production.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Response Surface Optimisation of Biogas Potential in Co-Digestion of Miscanthus Fuscus and Cow Dung

Tetteh¹,

Amano²,

Asante-Sackey³

et al. 2018

IJTech

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“…The industrial mineral oil wastewater obtained from a local South Africa oilfield was characterized as follows: high content of COD (11 978 mg/L), SOG (1 218mg/L), TSS (1 067 mg/L), and turbidity (2 753mg/L) (Kweinor Tetteh et al, 2017). All of the analyses were done using the protocols of standard methods for analysis of water and wastewater (APHA, 2012).…”

Section: Coagulation Flotation Processmentioning

confidence: 99%

“…The removal of the targeted contaminants in the MOW, the type of coagulant, coagulant dosage, pH and flotation time also play an important role to enhance the treatability and efficiency (Zouboulis and Avranas, 2000;Daud et al, 2015). Therefore, the Box-Behnken design (BBD) of experiment was adapted from the response surface methodology (RSM) to optimise the relevant operating parameters in order to reduce the researcher's experimental workload and high cost of chemical usage, and to avoid uncertainty on industrial application (Chavalparit and Ongwandee, 2009;Li et al, 2016;Tetteh and Rathilal, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of a polymeric organic coagulant for industrial mineral oil wastewater treatment using response surface methodology (RSM)

Tetteh

Rathilal

2018

WSA

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In this study, treatment of a local South African oil refinery effluent using a coagulation flotation process is designed using response surface methodology (RSM). A Box-Behnken design (BBD) implementing the RSM is applied to evaluate the effects and interactions of three operating parameters, viz., pH, coagulant dosage and flotation time, on the treatment of mineral oil wastewater (MOW). Polyacrylamide (Zetag-FS/A50), which is a water-soluble compound, is applied to enhance the adsorption mechanism and intermolecular bridging to minimise the amount of oil droplets. In addition, due to the monomeric nature and the charge density of the Zetag-FS/A50, its efficiency was evaluated to serve as an alternative coagulant for the pretreatment of the MOW. The removal of chemical oxidation demand (COD), soap oil and grease (SOG), total suspended solids (TSS) and turbidity from the MOW were used as the response variables for the coagulation flotation process. This was done with a standard dissolved air flotation jar test. The results show that the actual COD, SOG, TSS and turbidity percentage removal at optimised conditions with a coagulant dosage of 50 mg/L were 82%, 83%,70% and 83% respectively, while the predicted response was 92%, 96%, 73% and 87% for COD, SOG, TSS and turbidity, respectively. The analysis of variance (ANOVA) showed that the proposed models are significant at a 95% confidence level. A quadratic model was generated for response variables COD and SOG, while TSS and turbidity produced a linear model. The models fitted well with the experimental data with correlation coefficients (actual R2) of 0.94 for COD, 0.91 for SOG, 0.81 for TSS, and 0.75 for turbidity.The outcome of the study shows that the RSM has merit to optimise and identify the most important factor to control and the Zetag-FS/A50 coagulant has the potential to adsorb the oil droplets in order to enhance the treatment efficiency of the process.

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“…Some of these conventional processes are based on integrated physicochemical, mechanical and biological treatment process systems. These include dissolved air flotation (DAF) [6], coagulation [2], membrane bioreactors [7] and photocatalytic processes [8]. However, due to the variation in ORW composition, some of the aforementioned methods are not adequate as they transform the phase of the pollutants from one form to another without complete removal of the oil residual from the effluent [9].…”

Section: Introductionmentioning

confidence: 99%

Optimization of photo-catalytic degradation of oil refinery wastewater using Box-Behnken design

Tetteh¹,

Naidoo²,

Rathilal³

2019

Environmental Engineering Research

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The application of advanced oxidation for the treatment of oil refinery wastewater under UV radiation by using nanoparticles of titanium dioxide was investigated. Synthetic wastewater prepared from phenol crystals; Power Glide SAE40 motor vehicle oil and water was used. Response surface methodology (RSM) based on the Box-Behnken design was employed to design the experimental runs, optimize and study the interaction effects of the operating parameters including catalyst concentration, run time and airflow rate to maximize the degradation of oil (SOG) and phenol. The analysis of variance and the response models developed were used to evaluate the data obtained at a 95% confidence level. The use of the RSM demonstrated the graphical relationship that exists between individual factors and their interactive effects on the response, as compared to the one factor at time approach. The obtained optimum conditions of photocatalytic degradation are the catalyst concentration of 2 g/L, the run time of 30 min and the airflow rate of 1.04 L/min. Under the optimum conditions, a 68% desirability performance was obtained, representing 81% and 66% of SOG and phenol degradability, respectively. Thus, the hydrocarbon oils were readily degradable, while the phenols were more resistant to photocatalytic degradation.

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

Cited by 9 publications

References 10 publications

Response Surface Optimisation of Biogas Potential in Co-Digestion of Miscanthus Fuscus and Cow Dung

Response Surface Optimisation of Biogas Potential in Co-Digestion of Miscanthus Fuscus and Cow Dung

Effects of a polymeric organic coagulant for industrial mineral oil wastewater treatment using response surface methodology (RSM)

Optimization of photo-catalytic degradation of oil refinery wastewater using Box-Behnken design

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