Sustainable design and multi-objective optimization of eco-efficient extractive distillation with single and double entrainer(s) for separating the ternary azeotropic mixture tetrahydrofuran/ethanol/methanol

Energy-Efficient Hybrid Reactive-Extractive Distillation with a Preconcentration Column for Recovering Isopropyl Alcohol and Diisopropyl Ether from Wastewater: Process Design, Optimization, and Intensification

“…In this work, we also evaluated the thermodynamic efficiency η of the proposed DCRED using the second law of thermodynamics (eqs –). Note that such a methodology has been widely employed to assess the thermodynamic efficiency of the distillation-based processes. ,,, …”

“…In this work, the economics of the proposed process is evaluated based on the TAC, given in eq 5. 34,46 = + TAC TCC PP TOC…”

“…The second contribution of this work is to explore the possibility of improving the energy consumption and TAC through process optimization, which was proven to reduce the energy consumption efficiently and lower the environmental emission, as evident in a handful number of recent studies for reactive or extractive-based distillation. ,− In this work, the double-column reactive-extractive distillation (DCRED) with a preconcentration column consists of various types of decision variables, such as discrete or continuous, which translate to a mixed integer nonlinear programming (MINLP) problem that cannot be effectively handled using the sequence quadratic programming (SQP) optimization method or the traditional SI as employed in most of the existing studies (Table ). − Various stochastic optimization algorithms have been devised to overcome this issue, such as the nondominated sorting genetic algorithm (NSGA), , mesh adaptive direct search (MADS) algorithm, and particle swarm optimization (PSO), to tackle these MINLP problems. Among the different optimization algorithms, the application of PSO for optimizing a hybrid RED is less studied.…”

Toward a Sustainable Azeotrope Separation of Acetonitrile/Water by the Synergy of Ionic Liquid-Based Extractive Distillation, Heat Integration, and Multiobjective Optimization

“…The thermodynamic insights, e.g., residue curve maps (RCMs) and iso-volatility lines, were also successfully applied to screen the suitable entrainer and determine the least entrainer requirement for separating the azeotrope of tetrahydrofuran/ethanol/methanol. 10 Thus, the thermodynamic topologic insights involving residue curve maps, iso-volatility lines, and mass balance lines are effective tools for the screening and evaluation of entrainers. Recently, Li et al 2 found experimentally the new entrainer, i.e., choline-based IL, can effectively enhance the relative volatility of acetonitrile to water, and their promotion effects on the separation performance are much better than that of EG in the process calculation.…”

“…Entrainers have an important influence on the ED process, − which can break the azeotrope and facilitate the separation. A systematic approach was demonstrated by Gerbaud et al for the entrainer screening by employing the thermodynamic topologic insights and fuzzy logic, indicating ethylene glycol is the best entrainer in the alternatives for separating the acetone and chloroform.…”