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- W2076606427 abstract "Abstract The optimal design of a divided wall distillation column (DWC) involves a number of variables and is a multivariable nonlinear problem. Various process parameters such as reflux rate, liquid split, and vapor split affect the product quality and energy efficiency of a DWC. Response surface methodology (RSM) based on Box-Behnken surface statistical design (BBD) was used in this article to study the process parameter optimization. A commercial process simulation software was used for rigorous simulation using several multicomponent mixtures. It was found that the number of simulation runs reduced significantly for the optimization of a DWC using BBD. The optimization results of RSM take care of interactions between process variables, and the predictions agreed well with the rigorous simulation results. [Supplementary materials are available for this article. Go to the publisher's online edition of Chemical Engineering Communications for the following free supplemental resources: 17 data tables.] Keywords: Box-Behnken design (BBD)Divided wall distillation column (DWC)Energy efficiencyMultiresponse optimizationPetlyuk columnProcess parameters Notes a D, S, and B are mole fractions of benzene, toluene, and p-xylene in the distillate, side stream, and bottom product, respectively, and Q c and Q b are condenser and reboiler duty, respectively. a R 2 = 0.9936, predicted R 2 = 0.8974, adjusted R 2 = 0.9853, adequate precision = 26.983. a R 2 = 0.9996, predicted R 2 = 0.9943, adjusted R 2 = 0.9992, adequate precision = 132.547." @default.
- W2076606427 created "2016-06-24" @default.
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- W2076606427 date "2013-09-30" @default.
- W2076606427 modified "2023-10-07" @default.
- W2076606427 title "PROCESS PARAMETRIC OPTIMIZATION OF A DIVIDED WALL DISTILLATION COLUMN" @default.
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- W2076606427 doi "https://doi.org/10.1080/00986445.2012.762625" @default.
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