دانلود رایگان مقاله لاتین الگوریتم ژنتیک برای فرآیند تقطیر فشار نوسان از سایت الزویر
عنوان فارسی مقاله:
استفاده از یک الگوریتم ژنتیک برای طراحی و بهینه سازی فرآیند تقطیر فشار نوسان
عنوان انگلیسی مقاله:
Application of a simulated annealing algorithm to design and optimize a pressure-swing distillation process
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
There are several mixtures that need to be separated in a chemical process industry. Azeotropic mixtures cannot be separated efficiently by conventional distillation (An et al., 2015; Bastos et al., 2015; Mahdi et al., 2014; Skiborowski et al., 2015). To solve this problem, special distillation methods have been proposed, including pressure-swing distillation (PSD)(Lladosa et al., 2011; Luo et al., 2014; Luyben, 2014; Modla et al., 2010; Wang et al., 2015), extractive distillation (Liang et al., 2014; Quijada-Maldonado et al., 2014), and azeotropic distillation (Kunnakorn et al., 2013). PSD is an effi- cient method to separate pressure-sensitive azeotropic mixtures, whose azeotropic compositionclearly changes as the system’spressure changes. PSD has attracted the attention of researchers as it has the advantage of no third component being introduced. Energy consumption and capital investment account for most of the total cost of the PSD process, and the optimization and design of the PSD process have a critical impact on the economics of the entire process (Lladosa et al., 2011). There are nine design variables to be optimized for a PSD process, including the number of stages (NT1), feed stage location (NF1), recycle stage location (NREC), reflux ratio (RR1) and pressure (P1) of column T1; and the number of stages (NT2), feed stage location (NF2), reflux ratio (RR2), and pressure (P2) of the column T2. Among them, RR1, RR2, P1 and P2 are continuous variables, while the others are discrete variables. The optimization of a PSD process is a multiple variable combinatorial optimization problem in which the objective function is the total annual cost (TAC). This type of optimization problem can be formulated as a mixed integer nonlinear programming problem (García-Herreros et al., 2011; Silva and Salcedo, 2011). A sequential iterative method and a heuristic optimization method are commonly used to optimize a PSD in the open literature. For example, Hosgor et al. (2014) optimized a methanol/chloroform system using a sequential iterative method. Luo et al. (2014) optimized an isopropyl alcohol/diisopropyl ether system using a sequential iterative method. Luyben (2008, 2014) optimized a methanol/trimethoxysilane system and an acetone/methanol system using a heuristic optimization method. Intelligent optimization algorithms, including the simulated annealing algorithm (SAA) (Cheng et al., 2009; Gutiérrez-Antonio et al., 2014; Li et al., 2015; Ochoa-Estopier et al., 2015; Sudibyo et al., 2015; Wang et al., 2012; An and Yuan, 2009), genetic algorithm (Lim et al., 2014; Modla and Lang, 2012),tabu search (Martins and Costa, 2010) and particle swarm optimization (Lahiri, 2014; Liu and Zhao, 2012), have successfully been used in the process design and optimization. SAA is widely used in multi-component distillation sequences (An and Yuan, 2009), heat exchanger net
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کلمات کلیدی:
Control of Heat Integrated Pressure-Swing-Distillation Process for ... pubs.acs.org/doi/abs/10.1021/ie505024q by Y Wang - 2015 - Cited by 17 - Related articles Jan 19, 2015 - The pressure-swing-distillation processes involved with no, partial, and full heat .... algorithm to design and optimize a pressure-swing distillation process ... Design and control of pressure-swing distillation for azeotropes with ... 22nd European Symposium on Computer Aided Process Engineering https://books.google.com/books?isbn=0444594310 Ian David Lockhart Bogle, Michael Fairweather - 2012 - Science The Boltzmann Univariate Marginal Distribution Algorithm (BUMDA) handles the design goals as constraints through a constraint handling method based on penalty ... A new pressure swing-distillation process for separating homogeneous ... Process Engineering, 17 - 20 June Design and Optimization of Pressure Swing ... 22nd European Symposium on Computer Aided Process Engineering https://books.google.com/books?isbn=0444594566 2012 - Science The Boltzmann Univariate Marginal Distribution Algorithm (BUMDA) handles the design goals as constraints through a constraint handling method based on penalty ... A new pressure swing-distillation process for separating homogeneous ... Process Engineering, 17 - 20 June Design and Optimization of Pressure Swing ... [PDF]Thermodynamic Insight for the Design and Optimization of Extractive ... ethesis.inp-toulouse.fr/archive/00003131/01/You.pdf by X You - 2015 - Cited by 1 - Related articles multi-objective genetic algorithm that minimizes OF, total annualized cost (TAC) and maximizes two novel ... The first optimization strategy is conducted in four steps under distillation purity ... Extractive distillation, thermodynamic insight, reduced pressure, energy integration, multiobjective .... Pressure-swing distillation . 23rd European Symposium on Computer Aided Process Engineering https://books.google.com/books?isbn=0444632417 2013 - Technology & Engineering optimization. in. process. design. Mirko Skiborowskia, Marcel Rautenberga, ... an evolutionary algorithm (EA) and a sophisticated deterministic optimization strategy. ... by means of an entrainer-enhanced pressure swing distillation process. Design of pressure-swing distillation processes - Fraunhofer-Institut für ... https://www.itwm.fraunhofer.de/.../optimization/...process.../design-of-pressure-swing... Pressure-swing distillation (PSD) is a well-known and widely used process for the ... Designing a PSD process is a multi-parameter optimization problem.
