Response surface modeling and optimization for production of ammonia from urea in a batch reactor

Sahu, J.N.; Patwardhan, Anand; Meikap, B.C.

doi:10.1002/apj.235

Cited by 17 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RSM is a common and promising statistical method of DOE which provides the regression model equation(s) and operating conditions using the data from appropriate and certain experiments. , Thus, RSM has been applied to statistically determine an approximating function in predicting future responses and optimizing the response function. One factor design (OFD), which is a simple RSM design, was used in this study to model the trend of d(logσ)/dϕ with ϕ and optimize the model to find ϕ c .…”

Section: Materials and Methodologymentioning

confidence: 99%

Prediction of Water Percolation Threshold of a Microemulsion Using Electrical Conductivity Measurements and Design of Experiments

Jeirani

Jan

Ali

et al. 2012

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

This paper presents the estimation of water percolation threshold (ϕ c ) of a nonionic microemulsion by studying its conductivity (σ) as a function of water volume fraction (ϕ). The initial solution of alkyl polyglycosides/glyceryl monooleate/ n-octane/isopropyl alcohol with weight ratios of 3/3/2/2 was diluted by brine (1 wt % sodium chroride), and the electrical conductance was measured along the specific dilution line. One factor design (OFD), which is an approach embedded in Design of Experiments (DOE), was used to model the variation of d(logσ)/dϕ with ϕ. A quadratic equation with natural logarithm transformation was then fitted and validated. The model was optimized to predict ϕ c , the water volume fraction at which d(logσ)/dϕ is a maximum. The predicted value of ϕ c from the optimization of the model is 0.1245. In addition, fitting to the scaling law was conducted, and the value of ϕ c from this theoretical model was 0.1212. Apparently, these values are in excellent agreement. It is concluded that DOE can be used to estimate the value of ϕ c for a microemulsion relatively precisely with less computation and restriction compared to the conventional fitting approach.

show abstract

Section: Materials and Methodologymentioning

confidence: 99%

Prediction of Water Percolation Threshold of a Microemulsion Using Electrical Conductivity Measurements and Design of Experiments

Jeirani

Jan

Ali

et al. 2012

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…The NPP is a graphical tech nique for assessing whether or not a data set is approxi mately normally distributed. 21 The residual is the differ ence between the observed and predicted values of the regression. If the points on the plot form a nearly linear pattern, the data are normally distributed.…”

Section: Selection Of Lipase For Irreversible Transesterificationmentioning

confidence: 99%

Optimization of the lipase-catalyzed irreversible transesterification of Pistacia chinensis Bunge seed oil for biodiesel production

Zhang

Huang

et al. 2014

Russ Chem Bull

View full text Add to dashboard Cite

Production of biodiesel, a mixture of alkyl esters of fatty acids, by a lipase catalyzed irre versible transesterification of Pistacia chinensis Bunge seed oil using dialkyl carbonate as an acyl acceptor is studied. Response surface methodology (RSM) based on central composite design (CCD) was used to optimize five important reaction variables. A quadratic model was estab lished to modify those variables for high biodiesel yield. From the analysis of variance (ANOVA), the most important variables in the experimental design response were the reaction time, temperature, the molar ratio of oil to diethyl carbonate, and the amount of water added. The biodiesel yield predicted by the model was 98.2% under the optimal conditions and the subse quent verification experiments gave the average biodiesel yield of 97.6% thus confirming the validity of the predicted model.The high demand of the industrialized world in energy and the pollution caused by fossil fuel utilization have made it necessary to develop alternative and renewable energy sources. One of the particular considered alterna tives is biodiesel. Biodiesel shows many salient properties: its cetane number, flash point, and volumetric heating value are comparable to those of fossil fuels. 1 There are several advantages associated with the use of biodiesel as alternative, reversible energy source. Biodiesel is biode gradable, nontoxic, and eco friendly, its lower CO 2 emis sion helps to reduce the impacts to global warming. 2 Several processes are currently available for the pro duction of biodiesel via transesterification, e.g., chemical and enzymatic catalysis and non catalytic supercritical alcohol treatment. 3-5 Chemical catalyzed processes give high conversions of triacylglycerols to the corresponding esters but they suffer from several drawbacks. Chemical reactions are energy intensive, require labor consuming separation/purification steps to remove by product (glyc erol), and generate significant amount of wastewaters to be treated from catalyst and glycerol. Therefore, nowa days the enzymatic production of biodiesel receives grow ing attention and rapidly develops. The synthesis of bio diesel mediated by lipases occurs under mild conditions, moreover, the wastes are minimized, and glycerol is more easily purified. The enzymatic process tolerates the wide range of amount of water present in oil and increases the biodiesel yield by avoiding the soap formation. In addi tion, the immobilization of lipase on a support combines these advantages with the advantages of heterogeneous catalysis. 6,7 However, there are two bottlenecks in enzy matic approach for biodiesel production. One problem is short operational life of the lipase caused by the negative influence of an excessive short chain alcohols. 8 It has been demonstrated that methanol is insoluble in vegetable oil, therefore, and the immobilized lipases are easily inactivated by contacting with insoluble methanol existing as drops in the oil. Another problem is the high cost of the feedstock. Presently, biodi...

show abstract

“…In this work, the operating parameters for butanol distillation were optimized by process simulation and CCD to minimize the water content in the overhead distillate of the butanol column 8–15. The butanol content was kept at 99.5% (wt%) in the bottom residue and lower than 0.05% in the distillate in the optimization.…”

Section: Introductionmentioning

confidence: 99%

RSM optimization of the operating parameters for a butanol distillation column

Wang¹,

Li²,

Li³

2010

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

Comprehensive optimization of distillation column operating parameters is very important in chemical production. Response surface methodology (RSM) was used in combination with process simulation for complex optimization of operating parameters on the butanol distillation column in solvent fermentation process. The singleparameter effect of theoretical number of plates, feed positions, flow rate, and reflux rate on the content of water and butanol in the overhead distillate were investigated using the chemical process simulation software PRO/II. Then, according to the results of single-parameter simulation, comprehensive optimization was done using the response surface optimization method -central composite design (CCD), with the minimization of water content in the overhead distillate as the objective. The best optimized mathematical model was established and the result was verified by industrial production process. It was that satisfactory results can be obtained when RSM is combined with process simulation. This can produce more optimal conditions than those obtained by single-factor optimization in multivariate optimization problems. The optimal operating conditions are as follows: number of theoretical plates = 47, feed positions at the 7th and 12th theoretical plates (from top to bottom), overhead distillate flow rate = 441 kg/h, and reflux rate = 1860 kg/h. The water and butanol contents in the overhead distillate under these conditions are 0.5093 and 0.001%, respectively. This process was a reference point for the optimization of operating parameters of a distillation system. 

show abstract

Response surface modeling and optimization for production of ammonia from urea in a batch reactor

Cited by 17 publications

References 16 publications

Prediction of Water Percolation Threshold of a Microemulsion Using Electrical Conductivity Measurements and Design of Experiments

Prediction of Water Percolation Threshold of a Microemulsion Using Electrical Conductivity Measurements and Design of Experiments

Optimization of the lipase-catalyzed irreversible transesterification of Pistacia chinensis Bunge seed oil for biodiesel production

RSM optimization of the operating parameters for a butanol distillation column

Contact Info

Product

Resources

About