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The Separation of Three Azeotropes by Extractive Distillation by An-I Yeh A
The separation of three azeotropes by extractive distillation by An-I Yeh A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science in Chemical Engineering Montana State University © Copyright by An-I Yeh (1983) Abstract: Several different kinds of extractive distillation agents were investigated to affect the separation of three binary liquid mixtures, isopropyl ether - acetone, methyl acetate - methanol, and isopropyl ether - methyl ethyl ketone. Because of the small size of the extractive distillation column, relative volatilities were assumed constant and the Fenske equation was used to calculate the relative volatilities and the number of minimum theoretical plates. Dimethyl sulfoxide was found to be a good extractive distillation agent. Extractive distillation when employing a proper agent not only negated the azeotropes of the above mixtures, but also improved the efficiency of separation. This process could reverse the relative volatility of isopropyl ether and acetone. This reversion was also found in the system of methyl acetate and methanol when nitrobenzene was the agent. However, normal distillation curves were obtained for the system of isopropyl ether and methyl ethyl ketone undergoing extractive distillation. In the system of methyl acetate and methanol, the relative volatility decreased as the agents' carbon number increased when glycols were used as the agents. In addition, the oxygen number and the locations of hydroxyl groups in the glycols used were believed to affect the values of relative volatility. An appreciable amount of agent must be maintained in the column to affect separation. When dimethyl sulfoxide was an agent for the three systems studied, the relative volatility increased as the addition rate increased. -
Distillation 6
CHAPTER Energy Considerations in Distillation 6 Megan Jobson School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester, UK CHAPTER OUTLINE 6.1 Introduction to energy efficiency ....................................................................... 226 6.1.1 Energy efficiency: technical issues................................................... 227 6.1.1.1 Heating.................................................................................... 227 6.1.1.2 Coolingdabove ambient temperatures...................................... 229 6.1.1.3 Coolingdbelow ambient temperatures ...................................... 230 6.1.1.4 Mechanical or electrical power.................................................. 232 6.1.1.5 Summarydtechnical aspects of energy efficiency ..................... 233 6.1.2 Energy efficiency: process economics............................................... 233 6.1.2.1 Heating.................................................................................... 233 6.1.2.2 Cooling..................................................................................... 235 6.1.2.3 Summarydprocess economics and energy efficiency ............... 237 6.1.3 Energy efficiency: sustainable industrial development........................ 237 6.2 Energy-efficient distillation ............................................................................... 237 6.2.1 Energy-efficient distillation: conceptual design of simple columns...... 238 6.2.1.1 Degrees of freedom in design .................................................. -
A Case Study on Separation of IPA-Water Mixture by Extractive Distillation Using Aspen Plus
International Journal of Advanced Technology and Engineering Exploration, Vol 3(24) ISSN (Print): 2394-5443 ISSN (Online): 2394-7454 Research Article http://dx.doi.org/10.19101/IJATEE.2016.324004 A case study on separation of IPA-water mixture by extractive distillation using aspen plus Sarita Kalla, Sushant Upadhyaya*, Kailash Singh, Rajeev Kumar Dohare and Madhu Agarwal Department of Chemical Engineering, Malaviya National Institute of Technology, Jaipur, India ©2016 ACCENTS Abstract Extractive distillation is one of the popular methods being leveraged to separate isopropyl alcohol (IPA) from water present in waste stream in semi-conductor industries. In this context, the paper aims to carry out simulation study for separation of isopropyl alcohol-water azeotrope mixture using ethylene glycol as entrainer. In particular, temperature, pressure and concentration profile has been studied. Aspen plus® (version 8.8) has been used as simulation tool and optimum number of stages for the simulation turns out to be 42. The results show that top of the column contains IPA of 99.974 mol % purity and bottom product contains water-ethylene glycol mixture. Moreover, sensitivity analysis for different parameters and analysis of residue curve for ternary system have been also performed. Keywords IPA-water, Extractive distillation, Simulation, Entrainer. 1. Introduction 2. Process simulation Isopropyl alcohol is generally used as the cleaning 2.1 Thermodynamic model agent and solvent in chemical industries. Because of Thermodynamic model is used to describe phase its cleaning property it is also known as rubbing equilibria properties of the system. For the design of alcohol. IPA is soluble in water and it forms chemical separation operations the phase equilibrium azeotrope with water at temperature 80.3-80.4 0C. -
Review of Extractive Distillation. Process Design, Operation
Review of Extractive Distillation. Process design, operation optimization and control Vincent Gerbaud, Ivonne Rodríguez-Donis, Laszlo Hegely, Péter Láng, Ferenc Dénes, Xinqiang You To cite this version: Vincent Gerbaud, Ivonne Rodríguez-Donis, Laszlo Hegely, Péter Láng, Ferenc Dénes, et al.. Review of Extractive Distillation. Process design, operation optimization and control. Chemical Engineering Research and Design, Elsevier, 2019, 141, pp.229-271. 10.1016/j.cherd.2018.09.020. hal-02161920 HAL Id: hal-02161920 https://hal.archives-ouvertes.fr/hal-02161920 Submitted on 21 Jun 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Open Archive Toulouse Archive Ouverte OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible This is an author’s version published in: http://oatao.univ-toulouse.fr/239894 Official URL: https://doi.org/10.1016/j.cherd.2018.09.020 To cite this version: Gerbaud, Vincent and Rodríguez-Donis, Ivonne and Hegely, Laszlo and Láng, Péter and Dénes, Ferenc and You, Xinqiang Review of Extractive Distillation. Process design, operation optimization and control. (2018) Chemical Engineering Research and Design, 141. -
Liquid-Liquid Extraction
OCTOBER 2020 www.processingmagazine.com A BASIC PRIMER ON LIQUID-LIQUID EXTRACTION IMPROVING RELIABILITY IN CHEMICAL PROCESSING WITH PREVENTIVE MAINTENANCE DRIVING PACKAGING SUSTAINABILITY IN THE TIME OF COVID-19 Detecting & Preventing Pressure Gauge AUTOMATIC RECIRCULATION VALVES Failures Schroedahl www.circor.com/schroedahl page 48 LOW-PROFILE, HIGH-CAPACITY SCREENER Kason Corporation www.kason.com page 16 chemical processing A basic primer on liquid-liquid extraction An introduction to LLE and agitated LLE columns | By Don Glatz and Brendan Cross, Koch Modular hemical engineers are often faced with The basics of liquid-liquid extraction the task to design challenging separation While distillation drives the separation of chemicals C processes for product recovery or puri- based upon dif erences in relative volatility, LLE is a fication. This article looks at the basics separation technology that exploits the dif erences in of one powerful and yet overlooked separation tech- the relative solubilities of compounds in two immis- nique: liquid-liquid extraction. h ere are other unit cible liquids. Typically, one liquid is aqueous, and the operations used to separate compounds, such as other liquid is an organic compound. distillation, which is taught extensively in chemical Used in multiple industries including chemical, engineering curriculums. If a separation is feasible by pharmaceutical, petrochemical, biobased chemicals distillation and is economical, there is no reason to and l avor and fragrances, this approach takes careful consider liquid-liquid extraction (LLE). However, dis- process design by experienced chemical engineers and tillation may not be a feasible solution for a number scientists. In many cases, LLE is the best choice as a of reasons, such as: separation technology and well worth searching for a • If it requires a complex process sequence (several quali ed team to assist in its development and design. -
Computer Simulation of a Multicomponent, Multistage Batch Distillation Process
COMPUTER SIMULATION OF A MULTICOMPONENT, MULTISTAGE BATCH DISTILLATION PROCESS By BRUCE EARL BAUGHER /J Bachelor of Science in Chemical Engineering Oklahoma State University Stillwater, Oklahoma 1985 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE July, 1988 \\,~s~ ~ \'\~~ B~~~to' <:.o?. ·;)._, ~ r COMPUTER SIMULATION OF A MULTICOMPONENT, MULTISTAGE BATCH DISTILLATION PROCESS Thesis Approved: Thesis Advisor U.bJ ~~- ~MJYl~ Dean of the GradU~te College ABSTRACT The material and energy balance equations for a batch distillation column were derived and a computer simulation was developed to solve these equations. The solution follows a modified Newton-Raphson approach for inverting and solving the matrices of material and energy balance equations. The model is unique in that it has been designed to handle hypothetical hydrocarbon components. The simulation can handle columns up to 50 trays and systems of up to 100 components. The model has been used to simulate True Boiling Point (TBP) diagrams for a variety of crude oils. This simulation is also applicable to simple laboratory batch distillations. The model was designed to accurately combine data files to simulate actual crude blending procedures. The model will combine files and calculate the results quickly and easily. The simulation involves removing material from the column at steady-state. The removal fraction is made small enough to approach continuity. This simulation can be adapted for use on microcomputers, although it will require extensive computation time. ACKNOWLEDGMENTS It has been a great pleasure to work with my thesis advisor, Dr. -
Selection of Thermodynamic Methods
P & I Design Ltd Process Instrumentation Consultancy & Design 2 Reed Street, Gladstone Industrial Estate, Thornaby, TS17 7AF, United Kingdom. Tel. +44 (0) 1642 617444 Fax. +44 (0) 1642 616447 Web Site: www.pidesign.co.uk PROCESS MODELLING SELECTION OF THERMODYNAMIC METHODS by John E. Edwards [email protected] MNL031B 10/08 PAGE 1 OF 38 Process Modelling Selection of Thermodynamic Methods Contents 1.0 Introduction 2.0 Thermodynamic Fundamentals 2.1 Thermodynamic Energies 2.2 Gibbs Phase Rule 2.3 Enthalpy 2.4 Thermodynamics of Real Processes 3.0 System Phases 3.1 Single Phase Gas 3.2 Liquid Phase 3.3 Vapour liquid equilibrium 4.0 Chemical Reactions 4.1 Reaction Chemistry 4.2 Reaction Chemistry Applied 5.0 Summary Appendices I Enthalpy Calculations in CHEMCAD II Thermodynamic Model Synopsis – Vapor Liquid Equilibrium III Thermodynamic Model Selection – Application Tables IV K Model – Henry’s Law Review V Inert Gases and Infinitely Dilute Solutions VI Post Combustion Carbon Capture Thermodynamics VII Thermodynamic Guidance Note VIII Prediction of Physical Properties Figures 1 Ideal Solution Txy Diagram 2 Enthalpy Isobar 3 Thermodynamic Phases 4 van der Waals Equation of State 5 Relative Volatility in VLE Diagram 6 Azeotrope γ Value in VLE Diagram 7 VLE Diagram and Convergence Effects 8 CHEMCAD K and H Values Wizard 9 Thermodynamic Model Decision Tree 10 K Value and Enthalpy Models Selection Basis PAGE 2 OF 38 MNL 031B Issued November 2008, Prepared by J.E.Edwards of P & I Design Ltd, Teesside, UK www.pidesign.co.uk Process Modelling Selection of Thermodynamic Methods References 1. -
Distillation Theory
Chapter 2 Distillation Theory by Ivar J. Halvorsen and Sigurd Skogestad Norwegian University of Science and Technology Department of Chemical Engineering 7491 Trondheim, Norway This is a revised version of an article published in the Encyclopedia of Separation Science by Aca- demic Press Ltd. (2000). The article gives some of the basics of distillation theory and its purpose is to provide basic understanding and some tools for simple hand calculations of distillation col- umns. The methods presented here can be used to obtain simple estimates and to check more rigorous computations. NTNU Dr. ing. Thesis 2001:43 Ivar J. Halvorsen 28 2.1 Introduction Distillation is a very old separation technology for separating liquid mixtures that can be traced back to the chemists in Alexandria in the first century A.D. Today distillation is the most important industrial separation technology. It is particu- larly well suited for high purity separations since any degree of separation can be obtained with a fixed energy consumption by increasing the number of equilib- rium stages. To describe the degree of separation between two components in a column or in a column section, we introduce the separation factor: ()⁄ xL xH S = ------------------------T (2.1) ()x ⁄ x L H B where x denotes mole fraction of a component, subscript L denotes light compo- nent, H heavy component, T denotes the top of the section, and B the bottom. It is relatively straightforward to derive models of distillation columns based on almost any degree of detail, and also to use such models to simulate the behaviour on a computer. -
Heterogeneous Azeotropic Distillation
PROSIMPLUS APPLICATION EXAMPLE HETEROGENEOUS AZEOTROPIC DISTILLATION EXAMPLE PURPOSE This example illustrates a high purity separation process of an azeotropic mixture (ethanol-water) through heterogeneous azeotropic distillation. This process includes distillation columns. Additionally these rigorous multi- stage separation modules are part of a recycling stream, demonstrating the efficiency of ProSimPlus convergence methods. Specifications are set on output streams in order to insure the required purity. This example illustrates the way to set "non-standard" specifications in the multi-stage separation modules. Three phase calculations (vapor-liquid- liquid) are done with the taken into account of possible liquid phase splitting. ACCESS Free-Internet Restricted to ProSim clients Restricted Confidential CORRESPONDING PROSIMPLUS FILE PSPS_EX_EN-Heterogeneous-Azeotropic-Distillation.pmp3 . Reader is reminded that this use case is only an example and should not be used for other purposes. Although this example is based on actual case it may not be considered as typical nor are the data used always the most accurate available. ProSim shall have no responsibility or liability for damages arising out of or related to the use of the results of calculations based on this example. Copyright © 2009 ProSim, Labège, France - All rights reserved www.prosim.net Heterogeneous azeotropic distillation Version: March, 2009 Page: 2 / 12 TABLE OF CONTENTS 1. PROCESS MODELING 3 1.1. Process description 3 1.2. Process flowsheet 5 1.3. Specifications 6 1.4. Components 6 1.5. Thermodynamic model 7 1.6. Operating conditions 7 1.7. "Hints and Tips" 9 2. RESULTS 9 2.1. Comments on results 9 2.2. Mass and energy balances 10 2.3. -
Computer Simulation Applied to Studying Continuous Spirit Distillation and Product Quality Control
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Food Control 22 (2011) 1592e1603 Contents lists available at ScienceDirect Food Control journal homepage: www.elsevier.com/locate/foodcont Computer simulation applied to studying continuous spirit distillation and product quality control Fabio R.M. Batista, Antonio J.A. Meirelles* Laboratory EXTRAE, Department of Food Engineering, Faculty of Food Engineering, University of Campinas e UNICAMP, Campinas, Brazil article info abstract Article history: This work aims to study continuous spirit distillation by computational simulation, presenting some Received 7 June 2010 strategies of process control to regulate the volatile content. The commercial simulator Aspen (Plus and Received in revised form dynamics) was selected. A standard solution containing ethanol, water and 10 minor components rep- 2 March 2011 resented the wine to be distilled. A careful investigation of the vaporeliquid equilibrium was performed Accepted 8 March 2011 for the simulation of two different industrial plants. The simulation procedure was validated against experimental results collected from an industrial plant for bioethanol distillation. The simulations were Keywords: conducted with and without the presence of a degassing system, in order to evaluate the efficiency of Spirits fi Distillation this system in the control of the volatile content. To improve the ef ciency of the degassing system, fl Simulation a control loop based on a feedback controller was developed. The results showed that re ux ratio and Aspen Plus product flow rate have an important influence on the spirit composition. High reflux ratios and spirit Degassing flow rates allow for better control of spirit contamination. -
Distillation Design the Mccabe-Thiele Method Distiller Diagam Introduction
Distillation Design The McCabe-Thiele Method Distiller diagam Introduction • UiUsing r igorous tray-bby-tray callilculations is time consuming, and is often unnecessary. • OikhdfiifbOne quick method of estimation for number of plates and feed stage can be obtained from the graphical McCabe-Thiele Method. • This eliminates the need for tedious calculations, and is also the first step to understanding the Fenske-Underwood- Gilliland method for multi-component distillation • Typi ica lly, the in le t flow to the dis tilla tion co lumn is known, as well as mole percentages to feed plate, because these would be specified by plant conditions. • The desired composition of the bottoms and distillate prodillbifiddhiilldducts will be specified, and the engineer will need to design a distillation column to produce these results. • With the McCabe-Thiele Method, the total number of necessary plates, as well as the feed plate location can biddbe estimated, and some ifiinformation can a lblso be determined about the enthalpic condition of the feed and reflux ratio. • This method assumes that the column is operated under constant pressure, and the constant molal overflow assumption is necessary, which states that the flow rates of liquid and vapor do not change throughout the column. • To understand this method, it is necessary to first elaborate on the subjects of the x-y diagram, and the operating lines used to create the McCabe-Thiele diagram. The x-y diagram • The x-y diagram depi icts vapor-liliqu id equilibrium data, where any point on the curve shows the variations of the amount of liquid that is in equilibrium with vapor at different temperatures. -
Batch Distillation of Spirits: Experimental Study and Simulation
Research article Received: 5 April 2018 Revised: 11 January 2019 Accepted: 15 January 2019 Published online in Wiley Online Library (wileyonlinelibrary.com) DOI 10.1002/jib.560 Batch distillation of spirits: experimental study and simulation of the behaviour of volatile aroma compounds Adrien Douady,1 Cristian Puentes,1 Pierre Awad1,2 and Martine Esteban-Decloux1* This paper focuses on the behaviour of volatile compounds during batch distillation of wine or low wine, in traditional Charentais copper stills, heated with a direct open flame at laboratory (600 L) and industrial (2500 L) scale. Sixty-nine volatile compounds plus ethanol were analysed during the low wine distillation in the 600 L alembic still. Forty-four were quantified and classified according to their concentration profile in the distillate over time and compared with previous studies. Based on the online re- cording of volume flow, density and temperature of the distillate with a Coriolis flowmeter, distillation was simulated with ProSim® BatchColumn software. Twenty-six volatile compounds were taken into account, using the coefficients of the ‘Non- Random Two Liquids’ model. The concentration profiles of 18 compounds were accurately represented, with slight differences in the maximum concentration for seven species together with a single compound that was poorly represented. The distribution of the volatile compounds in the four distillate fractions (heads, heart, seconds and tails) was well estimated by simulation. Fi- nally, data from wine and low wine distillations in the large-scale alembic still (2500 L) were correctly simulated, suggesting that it was possible to adjust the simulation parameters with the Coriolis flowmeter recording and represent the concentration pro- files of most of the quantifiable volatile compounds.