Optimization of a divided wall column for the separation of C4-C6 normal paraffin mixture using Box-Behnken design

Int. J. Environ. Sci. Technol.

Kushwaha

2018

Treatment of real textile wastewater by electro-Fenton method was investigated using Ti/RuO 2 electrodes. The performance of the treatment process was evaluated in terms of %chemical oxidation demand removal; %color removal; and energy consumed, at three electro-Fenton process parameters: current, electrolysis time and ferrous sulfate concentration. To determine the optimum operating conditions, multiple responses optimization based on Box-Behnken design with desirability function was used. The optimum value of parameters were found to be current= 0.32 A, time = 90 min and ferrous sulfate concentration = 0.53 mM. Box-Behnken design suggested the %chemical oxidation demand removal; %color removal; and energy consumed were 100%, 90.30% and 1.27 Wh, respectively at optimized process parameters. The predicted performance parameters agree well with the experimental data. Second-order kinetic model was fitted to the experimental data, at optimum conditions. GC-MS analysis confirmed that dye components were totally eliminated after electro-Fenton treatment of textile effluent. To determined the toxicity of the treated textile effluent bioassay analysis was performed. It was identified that the generated by-products were non-toxic in nature. The total cost to treat the 1 m 3 of real textile wastewater by electro-Fenton at optimum conditions was $ 3.13.

Section: Experimental Design Mathematical Modeling and Optimizationmentioning

confidence: 99%

Parametric study of electro-Fenton treatment for real textile wastewater, disposal study and its cost analysis

Kaur

Int. J. Environ. Sci. Technol.

Kushwaha

2018

“…The Box‐Behnken design is an RSM technique, which was applied in optimization of a complex system such as the dividing‐wall column (DWC) , . RSM is a broad field containing a series of mathematical and statistical tools for design of experiments, evaluating the effects of a set of factors on the desirable responses, and is suitable in searching the optimum conditions of the factors which would lead to desirable responses .…”

Section: Optimizationmentioning

confidence: 99%

“…The SQP technique is present in Aspen Plus and failed to optimize this problem. The Box‐Behnken design (BBD) proved successful in handling such optimization problems , .…”

Section: Introductionmentioning

confidence: 99%

Optimization of Reactive Dividing‐Wall Distillation Column for Ethyl t‐Butyl Ether Synthesis

Kaur

2018

Chem Eng & Technol

Ethyl t‐butyl ether (ETBE) was synthesized via reaction of ethanol and isobutene by means of a reactive dividing‐wall distillation column (RDWC). The RDWC was simulated using the RADFRAC model of Aspen Plus. Multi‐response optimization by response surface methodology (RSM) with desirability function approach was applied for maximizing product purities and minimizing energy requirements and CO2 emissions simultaneously with a constraint that the difference in pressure drop across the dividing wall should be zero. The prediction from the RSM optimization agrees well with the simulation. The optimized RDWC provided an excellent purity of 99.99 mol % of the product ETBE with about one‐third reduction in energy requirements and CO2 emissions as compared to reactive distillation.

“…Electrochemical (EC) treatment method is a feasible technique for wastewater treatment, including dairy wastewater (Bensadok et al, 2011;Borbón et al, 2014;Kushwaha et al, 2011b;Maiti et al, 2011;Qasim and Mane, 2013;Sangal et al, 2013a;Sharma, 2014;Sundarapandiyan et al, 2018;Tchamango et al, 2010;Un et al, 2014;Wang et al, 2017;Yavuz et al, 2011). EC treatment offers high removal efficiencies in compact reactors with simple equipment/instruments for control and operation of the process (Wang et al, 2017;Yavuz et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Dairy Wastewater Treatment in Continuous Stirred Tank Electrochemical Reactor (Cster): Parametric Optimization and Kinetics

Kushwaha

Kumari

Environ. Eng. Manag. J.

et al. 2019

Dairy wastewater has been a major environmental concern because of massive effluents characterized by high pollution load. This study reports the influence of initial pH (pHi), residence time (τ) and elapsed time (t) on the %COD removal (Y1) and specific energy consumed (kWh per kg of COD removed, Y2) for real dairy industry wastewater treatment in continuous stirred tank electrochemical reactor (CSTER) using aluminum electrodes. Central composite design (CCD) was applied for designing the experiments, analyzing the experimental data and optimizing the process parameters to maximizing Y1 and simultaneously minimizing Y2. Important design parameters for continuous reactors like steady state time (tS), mass transfer coefficient (km) and kinetic parameters were also estimated. Modified pseudo-first-order kinetic model was used for kinetic modeling with non-linear regression technique. Experiments conducted at optimal process parameters for CSTER (pHi= 4.5, τ= 141 min; t= 52 min) showed Y1 = 71.21%, Y2 = 4.