Optimization of Continuous Distillation Columns Using Stochastic Optimization Approaches
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Cited by (22)
Comparative assessment of different intensified distillation schemes for the downstream separation in the oxidative coupling of methane (OCM) process
2020, Chemical Engineering and Processing - Process IntensificationCitation Excerpt :Most of the technical literature relates distillation optimization with economic analysis associated to the heat duty at the reboiler and the column sizing [54,55]. Commonly, the optimization of distillation columns for zeotropic mixtures are done using orthogonal methods [56], while for azeotropic mixtures stochastic methods are applied [57]. The most common variables considered in optimization (added to the two aforementioned) are the total number of stages and the feed stage [58].
Comparison between differential evolution algorithms and response surface methodology in ethylene plant optimization based on an extended combined energy - exergy analysis
2018, EnergyCitation Excerpt :The ability of GA to learn and generalize the behavior of any complex and non-linear process makes it a powerful modeling tool. Ramanathan et al. [18] have used two stochastic optimization formalisms, namely, genetic algorithms (GAs) and simultaneous perturbation stochastic approximation (SPSA) for the optimization of continuous distillation columns. They have used several parameters for optimization.
Efficient optimization-based design for the separation of heterogeneous azeotropic mixtures
2015, Computers and Chemical EngineeringCitation Excerpt :While the utilization of a standard process simulator is of course tempting, metaheuristics cannot guarantee the optimality of the final solution and are generally computationally intensive, especially without problem-specific parameter tuning. Ramanathan et al. (2001) seem to be the only authors reporting the application of such an approach to a single heteroazeotropic distillation design. However, they only consider a single column and simplify the model assuming constant molar overflow, complete liquid-phase separation in the decanter and no phase splitting in the distillation column.
Internal and external HIDiCs (heat-integrated distillation columns) optimization by genetic algorithm
2014, EnergyCitation Excerpt :Most of the optimal design procedures for different separation missions lead to non-linear multivariable problems and have a non-convex objective function (i.e. thermodynamic or economical criterion) with many local optima [23,24]. Several optimization techniques have been developed to find the global optimum in the field of chemical engineering [25–30]. The deterministic and stochastic (random) methods are the main categories in global optimization.
Modelling and control of a continuous distillation tower through fuzzy techniques
2011, Chemical Engineering Research and DesignCitation Excerpt :Therefore, to control the top and bottom compositions of a distillation column can be a difficult task due to the presence of control-loop interactions and nonlinearities (Grüner et al., 2003). An efficient control system adaptable to different situations would assure product quality and minimize energy expenses (Dahule et al., 2001; Floudas and Luyben, 1994). New approaches to control, other than classic linear controllers, can improve system performance.