Extractive Distillation Process Optimisation of the 1.0-1a Class System, Acetone - methanol with Water

Reducing process cost and CO2 emissions for extractive distillation by double-effect heat integration and mechanical heat pump

“…It is an extractive distillation process optimized in our previous works by focusing on the energy saving of the process itself for the separation of the minimum azeotropic mixture acetonemethanol with heavy entrainer water [36]. That typical 1.0-1a class extractive separation [37] is favored in energy cost at low operating pressure of the extractive column and the P = 0.6 atm is chosen in order to use cooling water for the condenser [13].…”

“…Aiming at optimizing the two columns together, we proposed the objective function OF for extractive distillation process in our work [37] Based on OF, OF2 is used for the DEHI extractive distillation process and it is as follow: The meanings of the variables are shown in Fig. 3.…”

CAMD for entrainer screening of extractive distillation process based on new thermodynamic criteria

“…Skiborowski et al (2015) used Kossack and coworkers's list (Kossack et al, 2008) and also found DMSO as the most suitable entrainer by using an evolutionary algorithm for optimizing the design of the extractive distillation process. Alternatively, an optimal flowsheet with water as entrainer was later designed and improved by You et al (2014), by proposing a new objective function for the minimization of the total energy consumption related to the total distillate flow rate. You et al, 2015aYou et al, , 2016 also pointed out the advantage of decreasing the working pressure of the extractive distillation column due to a more favourable location of the isovolatility curve˛A ,B = 1 closer to the acetone apex.…”

Optimal design of extractive distillation for acetic acid dehydration with N-methyl acetamide

“…In this study, four objective functions are used in MOGA method for the optimization of the extractive distillation. The first objective function is energy cost per unit product OF with some modifications [24]. It is also the sole objective function used in the TSOM method under given tray numbers of the columns (N1 and N2) and specified xH,I,E.…”

“…For an extractive distillation process retrofit (given column trays number N1 and N2), the twostep optimization methodology has shown many advantages for optimization studies of others extractive distillation processes [24][25][26] We selected the Non-Sorted Genetic Algorithm II (NSGAII) for process optimization. NSGAII is based on a ranking procedure, where the rank of each solution is defined as the rank of the Pareto front which it belongs to.…”