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

Abstract

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.

Production and Isolation of n‐Butyl Acrylate Using Pervaporation‐Aided Esterification Reaction: Kinetics and Optimization

“…Additionally, RSM significantly reduces the number of experimental runs and provides sufficient information for statistically valid results. RSM is more informative and faster compared to the full factorial designs, and also helps to optimize multifactor experiments and building models [16,17].…”

Analysis of CO2 Emission and Economic Feasibility for a Heat‐Integrated Air Separation System

“…In order to explore the minimum CO 2 emission of the model, a rigorous optimization model of the internal thermally coupled air separation column is carried out, and the CO 2 emission is calculated by Eqs. (11)- (14).…”

“…Distillation, which is the workhorse of chemical process industries, is an energy-intensive process, so massive amounts of CO 2 are released during the process [13][14][15][16]. Therefore, the reduction of the CO 2 emissions in distillation systems has become a matter of urgent concern, and efforts were focused on energy-saving techniques and modifications [17][18][19][20][21][22][23].…”

Modeling and Optimization of a Jackfruit Seed‐Based Supercapacitor Electrode Using Machine Learning

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