Modelling and Optimization of Conventional and Unconventional Batch Reactive Distillation Processes
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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. -
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. -
Experiment 7 Organic Synthesis: Microwave-Assisted Fischer
EXPERIMENT 7 ORGANIC SYNTHESIS: MICROWAVE-ASSISTED FISCHER ESTERIFICATION Materials Needed 1.0-2.0 mL of an alcohol to be chosen from the following: 3-methyl•1-butanol (isoamyl alcohol, isopentyl alcohol), 1-octanol (n-octyl alcohol), phenylmethanol (benzyl alcohol) 2.0 mL acetic acid 10 drops concentrated sulfuric acid 0.2 g silica beads saturated aqueous sodium chloride (sat NaCl(aq)) 10% aqueous sodium bicarbonate (NaHCO3(aq)) anhydrous sodium sulfate pellets (Na2SO4(s)) 10 mL diethyl ether 1 GlassChem™ pressure vessel and torque tool for tightening cap 1 very large test tube, several small test tubes, 1 screw-cap vial, Pasteur Pipettes Textbook Reading Assignment Smith, Chapter 13.6 INTRODUCTION A carboxylic acid and an alcohol react in the presence of an acid catalyst to form an ester and water as shown in equation 1. This reaction, termed Fischer esterification in honor of its discoverer, can be used to prepare a variety of esters. O H+(cat) O R C OH HOR' R C OR' H2O (1) carboxylic acid alcohol ester water side product The esterification reaction is reversible with an equilibrium constant that favors the products only slightly. Therefore, in order to get a decent yield of the ester product, an excess of one of the reactants is usually used to drive the equilibrium to the right (Le Chatelier's Principle). In addition, a drying agent, such as silica beads can be used to absorb the water side product as it is formed and again drive the equilibrium toward the products. However, this reaction is rather slow (even at elevated temperatures with the acid catalyst added); too slow to allow us to carry it out in a 2-hour lab period using standard heating methods. -
Distillation Accessscience from McgrawHill Education
6/19/2017 Distillation AccessScience from McGrawHill Education (http://www.accessscience.com/) Distillation Article by: King, C. Judson University of California, Berkeley, California. Last updated: 2014 DOI: https://doi.org/10.1036/10978542.201100 (https://doi.org/10.1036/10978542.201100) Content Hide Simple distillations Fractional distillation Vaporliquid equilibria Distillation pressure Molecular distillation Extractive and azeotropic distillation Enhancing energy efficiency Computational methods Stage efficiency Links to Primary Literature Additional Readings A method for separating homogeneous mixtures based upon equilibration of liquid and vapor phases. Substances that differ in volatility appear in different proportions in vapor and liquid phases at equilibrium with one another. Thus, vaporizing part of a volatile liquid produces vapor and liquid products that differ in composition. This outcome constitutes a separation among the components in the original liquid. Through appropriate configurations of repeated vaporliquid contactings, the degree of separation among components differing in volatility can be increased manyfold. See also: Phase equilibrium (/content/phaseequilibrium/505500) Distillation is by far the most common method of separation in the petroleum, natural gas, and petrochemical industries. Its many applications in other industries include air fractionation, solvent recovery and recycling, separation of light isotopes such as hydrogen and deuterium, and production of alcoholic beverages, flavors, fatty acids, and food oils. Simple distillations The two most elementary forms of distillation are a continuous equilibrium distillation and a simple batch distillation (Fig. 1). http://www.accessscience.com/content/distillation/201100 1/10 6/19/2017 Distillation AccessScience from McGrawHill Education Fig. 1 Simple distillations. (a) Continuous equilibrium distillation. -
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. -
Dynamic Modelling of Batch Distillation Columns Chemical
Dynamic Modelling of Batch Distillation Columns Maria Nunes de Almeida Viseu Thesis to obtain the Master of Science Degree in Chemical Engineering Supervisors: Prof. Dr Carla Isabel Costa Pinheiro Dr Charles Brand Examination Committee Chairperson: Prof. Dr Sebastião Manuel Tavares da Silva Alves Supervisor: Prof. Dr Carla Isabel Costa Pinheiro Members of the Committee: Prof. Dr João Miguel Alves da Silva November 2014 Page intentionally left blank ii Para os meus pais, Com amor. iii Page intentionally left blank iv Abstract atch distillation is becoming increasingly important in specialty product industries in which flexibility is a B key performance factor. Because high added value chemical compounds are produced in these industries with uncertain demands and lifetimes, mathematical models that predict separation times and product purities thereby facilitating plant scheduling are required. The primary purpose of this study is thus to develop a batch multi-staged distillation model based on mass and energy balances, equilibrium stages and tray hydraulic relations. The mathematical model was implemented in gPROMS ModelBuilder®, an industry- leading custom modelling and flowsheet environment software. Preliminary steps were undertaken prior to implementing the dynamic multi-staged model: batch distillation operating policies as well as modelling and tray hydraulic considerations were covered in a broad background review; a theoretical separation example of an equimolar benzene/toluene mixture was used to validate a simpler Rayleigh distillation model comprising only one equilibrium stage; tray hydraulic correlations encompassing column diameter, tray holdup and tray pressure drop estimations were tested in a methanol/water continuous separation case study. The multi-staged batch model was validated for a methanol/water separation using literature data from an experimental pilot plant and from theoretical results given by a model implemented in Fortran language and by commercial simulator Batchsim of Pro/II. -
Batch Distillation
Chapter 7: Batch Distillation In the previous chapters, we have learned the distillation operation in the continuous mode, meaning that the feed(s) is(are) fed continuously into the distillation column the distillation products [e.g., distillate, bottom, side stream(s)] are continuously withdrawn from the column In the continuous operation, after the column has been operated for a certain period of time, the system reaches a steady state 1 At steady state, the properties of the system, such as the feed flow rate the flow rates of, e.g., the distillate and the bottom the feed composition the compositions of the distillate and the bottom reflux ratio (LDo / ) system’s pressure are constant With these characteristics, a continuous dis- tillation is the thermodynamically and economi- cally efficient method for producing large amounts of material of constant composition 2 However, when small amounts of products of varying compositions are required, a batch dis- tillation provides several advantages over the continuous distillation (the details of the batch distillation will be discussed later in this chapter) Batch distillation is versatile and commonly employed for producing biochemical, biomedical, and/or pharmaceutical products, in which the production amounts are small but a very high purity and/or an ultra clean product is needed The equipment for batch distillation can be arranged in a wide variety of configurations 3 In a simple batch distillation (Figure 7.1), va- pour (i.e. the product) is withdrawn from the top of the re-boiler (which is also called the “still pot”) continuously, and by doing so, the liquid level in the still pot is decreasing continuously Figure 7.1: A simple batch distillation (from “Separation Process Engineering” by Wankat, 2007) Note that the distillation system shown in Fig- ure 7.1 is similar to the flash distillation 4 However, there are a number of differences between the batch distillation (e.g., Figure 7.1) and the flash distillation: i.e. -
Distillation Strategies: a Key Factor to Obtain Spirits with Specific Organoleptic Characteristics
DISTILLATION STRATEGIES: A KEY FACTOR TO OBTAIN SPIRITS WITH SPECIFIC ORGANOLEPTIC CHARACTERISTICS Pau Matias-Guiu Martí ADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. ADVERTENCIA. El acceso a los contenidos de esta tesis doctoral y su utilización debe respetar los derechos de la persona autora. Puede ser utilizada para consulta o estudio personal, así como en actividades o materiales de investigación y docencia en los términos establecidos en el art. 32 del Texto Refundido de la Ley de Propiedad Intelectual (RDL 1/1996). Para otros usos se requiere la autorización previa y expresa de la persona autora. En cualquier caso, en la utilización de sus contenidos se deberá indicar de forma clara el nombre y apellidos de la persona autora y el título de la tesis doctoral. -
Azeotropes As Powerful Tool for Waste Minimization in Industry and Chemical Processes
molecules Review Azeotropes as Powerful Tool for Waste Minimization in Industry and Chemical Processes Federica Valentini and Luigi Vaccaro * Laboratory of Green S.O.C., Dipartimento di Chimica, Biologia e Biotecnologie, Università degli Studi di Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy; [email protected] * Correspondence: [email protected]; Tel./Fax: +39-07-5585-5541 Academic Editor: Derek J. McPhee Received: 17 October 2020; Accepted: 10 November 2020; Published: 12 November 2020 Abstract: Aiming for more sustainable chemical production requires an urgent shift towards synthetic approaches designed for waste minimization. In this context the use of azeotropes can be an effective tool for “recycling” and minimizing the large volumes of solvents, especially in aqueous mixtures, used. This review discusses the implementation of different kinds of azeotropic mixtures in relation to the environmental and economic benefits linked to their recovery and re-use. Examples of the use of azeotropes playing a role in the process performance and in the purification steps maximizing yields while minimizing waste. Where possible, the advantages reported have been highlighted by using E-factor calculations. Lastly azeotrope potentiality in waste valorization to afford value-added materials is given. Keywords: azeotrope; waste minimization; solvent recovery; azeotropic distillation; process design; waste valorization 1. Introduction The materials not incorporated into the final desired product and the energy required for conducting a process can be considered most trivially as the major direct origin of “waste” associated to chemical production. In addition, the possible formation of undesired isomers or byproducts also results in the generation of costly waste, that being in some cases hazardous, can limit the final application of the main product. -
Cigarette Additives, Carcinogens and Chemicals Nicotine
Cigarette Additives, Carcinogens and Chemicals Nicotine A Destructive Natural Pesticide Which ... Is extremely addictive when smoked Is extremely addictive when chewed Causes addiction as permanent as Is harder to quit than heroin or cocaine alcoholism Is not medicine and its use not therapy Is ineffective as a stand-alone quitting aid Prevents pre-cancerous cells from dying Accelerates cancer tumor growth rates Contributes to artery hardening Has a metabolite which may cause cancer May kill brain cells and impair memory Is linked to lung cancer Likely causes brain damage and Is also a fetus destroying teratogen depression Kills half of adult smokers 13-14 years Is beat by never taking another puff or early chew! 81 Cancer Causing Chemicals Have So Far Been Identified in Cigarettes Acetaldehyde Acetamide Acrylamide Acrylonitrile 2-Amino-3,4-dimethyl-3H-imidazo[4,5-f]quinoline (MeIQ) 3-Amino-1,4-dimethyl-5H-pyrido [4,3-b]indole (Trp-P-1) 2-Amino-l-methyl-6-phenyl-1H-imidazo [4,5-b]pyridine (PhlP) 2-Amino-6-methyldipyrido[1,2-a:3',2'-d]imidazole (Glu-P-1) 3-Amino-l-methyl-5H-pyrido {4,3-b]indole (Trp-P-2 2-Amino-3-methyl-9H-pyrido[2,3-b]indole (MeAaC) 2-Amino-9H-pyrido[2,3-b]indole (AaC) 4-Aminobiphenyl 2-Aminodipyrido[1,2-a:3',2'-d]imidazole (Glu-P-2) 0-Anisidine Arsenic Benz[a]anthracene Benzene Benzo[a]pyrene Benzo[b]fluoranthene Benzo[j]fluoranthene Benzo[k]fluoranthene Benzo[b]furan Beryllium 1,3-Butadiene Cadmium Catechol (1,2-benzenediol) p-Chloroaniline Chloroform Cobalt p,p'-DDT Dibenz[a,h]acridine Dibenz[a,j]acridine Dibenz(a,h)anthracene -
Design of Batch Distillation Columns Using Short-Cut Method at Constant Reflux
Hindawi Publishing Corporation Journal of Engineering Volume 2013, Article ID 685969, 14 pages http://dx.doi.org/10.1155/2013/685969 Research Article Design of Batch Distillation Columns Using Short-Cut Method at Constant Reflux Asteria Narvaez-Garcia,1 Jose del Carmen Zavala-Loria,2 Luis Enrique Vilchis-Bravo,1 and Jose Antonio Rocha-Uribe1 1 Universidad Autonoma de Yucatan, (UADY), Periferico Norte km 33.5, 97203 Merida, YUC, Mexico 2 Universidad Autonoma del Carmen, (UNACAR), Calle 56 No. 4, Colonia Benito Juarez, 24180 Ciudad del Carmen, CAM, Mexico Correspondence should be addressed to Jose Antonio Rocha-Uribe; [email protected] Received 17 December 2012; Revised 12 March 2013; Accepted 20 March 2013 Academic Editor: M. Angela Meireles Copyright © 2013 Asteria Narvaez-Garcia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A short-cut method for batch distillation columns working at constant reflux was applied to solve a problem of four components that needed to be separated and purified to a mole fraction of 0.97 or better. Distillation columns with 10, 20, 30, 40, and 50 theoretical stages were used; reflux ratio was varied between 2 and 20. Three quality indexes were used and compared: Luyben’s capacity factor, total annual cost, and annual profit. The best combinations of theoretical stages and reflux ratio were obtained for each method. It was found that the best combinations always required reflux ratios close to the minimum. -
Batch Processing
4 Batch Distillation CONTENTS 4.1 Early Theoretical Analysis ........................................... 43 4.1.1 Simple Distillation ............................................. 45 4.1.2Copyrighted Operating Modes ............................................... 46 4.2 Hierarchy of Models .................................................. 53 4.2.1 Rigorous Model ................................................ 53 4.2.2 Low Holdup Semirigorous Model .............................. 53 4.3 Shortcut Model ........................................................ 55 4.4 Optimization and Optimal Control ................................... 58 4.5 Complex Systems ...................................................... 59 4.5.1 Azeotropic Distillation ......................................... 60 4.5.2 Reactive DistillationMaterial........................................... 61 4.6 Computer Aided Design Software ..................................... 62 4.7 Summary .............................................................. 63 Notations .............................................................. 63 - Batch distillation1 is the oldest separation processTaylor and the most widely used unit operation in pharmaceutical and specialty chemical industries. The most outstanding feature of batch distillation is its flexibility. This flexibility allows one to deal with uncertainties in feed stock or product specification. In the distillation process, it is assumed that the vapor& formed within a short pe- riod is in thermodynamic equilibrium with the liquid.