5202 R. Taylor, R. Krishna / Chemical Engineering Science 55 (2000) 5183}5229which adopts the assumption of physical equilibrium,ideal mixing, thermal equilibrium with a chemical reactioncon"ned to the liquid-phase. Column hydraulics isaccounted for through a pressure drop equation anddepartures from equilibrium can be modelled usinga Murphree-type e$ciency factor. Extensive numericalresults are provided. The authors state that their programcan be used to study unsteady and unstable columnoperations such as start-up, shutdown and abnormalhydraulic column behaviour. The package allows fora number of standard thermodynamic property packs aswell as user-supplied models. Scenna, Ruiz and Benz(1998) employ READYS to study the start-up of RDcolumns. They show that the start-up policy can havea strong in#uence on the ultimate steady-state behaviourby sending the column to an undesirable operating point.READYS and Aspen Plus were used by Perez-Cisneros,Schenk, Gani and Pilavachi (1996) and Perez-Cisneros et al. (1997b) who also discussed their ownsomewhat di!erent approach to the EQ model. Theirmodel uses chemical &elements' rather than the actualcomponents. The chemical elements are the moleculeparts that remain invariant during the reaction. Theactual molecules are formed from di!erent combinationsof elements. A bene"t of this approach is that the chemicaland physical equilibrium problem in the <strong>reactive</strong>mixture is identical to a strictly physical equilibriummodel. A comparison with the RD data of Suzuki et al.(1971) is provided and it is noted that these data aredi$cult to match unless the `"tteda activity coe$cientmodel is used.Gani, Jepsen and Perez-Cisneros (1998) describeda generalised <strong>reactive</strong> separation unit model. Theirs is anunsteady-state EQ stage model that can handle systemsboth with and without reactions and with more than two#uid phases. The methodology is quite unique in that it isbased on the element approach of Perez-Cisneros et al.(1997b). Several numerical examples cover a range ofsimulation problems. Pilavachi et al. (1997) use the sameapproach, but their paper does not dwell on the computationalmethods; rather its focus is on some of theparameters that are important in RD modelling. Forexample, they discuss the e!ect of thermodynamic modelsand their parameters on RD simulation.Abufares and Douglas (1995) use an EQ stage modelfor steady-state and dynamic modelling of an RD columnfor production of MTBE. The steady-state model isRADFRAC from Aspen Plus. The unsteady-state modelequations are solved using SpeedUp, a commercial dynamicprocess simulation program. The focus of thispaper is the transient response of the system.Alejski and Duprat (1996) described a dynamic modelfor modelling kinetically controlled RD processes. Themodel is based on the conventional assumptions of negligiblevapor-phase hold-up and perfect mixing of the twophases. Departures from phase equilibrium could be handledby speci"cation of a vaporisation e$ciency, andcorrections of the conversion due to imperfect mixing areaccounted for using a `conversion e$ciencya, the latterbeing calculated from an eddy di!usion model in terms ofthe Peclet number. The model is compared to data obtainedin a pilot-scale column for the esteri"cation ofethanol with acetic acid and sulphuric acid as homogeneouscatalyst. Column start-up and disturbances ofcontinuous operation were investigated. The dynamictemperature pro"les are in reasonable agreement withthe data, but the predicted dynamic concentration pro-"les are very di!erent from the observed pro"les. Alejskiand Duprat (1996) also recommend that tray hydraulicsbe accounted for in any dynamic model of RD.Schrans, de Wolf & Baur (1996) carried out dynamicsimulations, using SPEEDUP, of the MTBE synthesisprocess using essentially the Jacobs}Krishna columncon"guration shown in Fig. 20(a). Their simulationsshowed that increase in the iso-butene feed by 4% leadsto oscillatory behaviour. A further increase of iso-butenefeed by 5% causes a jump from the high-conversionsteady-state to the lower one. Hauan, Schrans and Lien(1997) also showed oscillatory behaviour and suggestedthat it is due to an internal recycle of MTBE in the<strong>reactive</strong> zone.Sneesby, TadeH , Datta & Smith (1997a) model the synthesisof ETBE using an EQ stage model that they solvewith SpeedUp. Simulation results are compared to resultsobtained with the commercial simulation programPro/II. Homotopy methods are used to investigate thee!ects of important design variables (feed composition,ethanol excess, pressure, number of equilibrium stages* <strong>reactive</strong> or non-<strong>reactive</strong>, reboiler duty and so on).A process design methodology is suggested. In a companionpaper Sneesby, TadeH , Datta and Smith (1997b) developa dynamic model of the same process using SpeedUp.Their dynamic model assumes that reaction equilibriumis attained on all stages, neglecting reaction kinetics. Theauthors recommend including control issues early in thedesign process. Subsequent papers from this group lookat multiple steady-states in RD (Sneesby, TadeH & Smith,1998c}e). Sneesby et al. (1998d) (as well as Bartlett andWahnscha!t (1998) using RADFRAC) report that thetransition from one steady-state to another can be preventedusing appropriate control strategies. Sneesby et al.(1998a) show that an increase in fractionation (by increasingre#ux ratios, or numbers of equilibrium stages)does not always lead to improved performance of RDcolumns. This is exactly opposite to the situation inconventional <strong>distillation</strong>.Espinosa, Martinez and Perez (1994) presented a simpli"eddynamic model for an RD column. Vapor holdups,heat losses to the environment and the heat ofreaction were neglected. In addition, equimolar over#owand physical and chemical equilibrium were assumed.The resulting equations were rewritten in terms of the
R. Taylor, R. Krishna / Chemical Engineering Science 55 (2000) 5183}5229 5203transformed variables presented by Barbosa andDoherty (1987b). In order to save calculation time, theorder of the model was reduced using an orthogonalcollocation method. Some calculations were done for anideal quaternary system. The reduced order model wasveri"ed against a `rigorousa model and a reasonablygood match was found. No extensive numerical dynamicdata are presented.Grosser, Doherty and Malone (1987) use a dynamicmodel based on the following assumptions: the mixture reaches reaction and phase equilibriuminstantaneously on each tray; the solutions are dilute (thus the temperature changecan be ignored); the liquid hold-up is constant on each tray (the vaporhold-up is ignored); constant molar over#ow (modi"ed somewhat) relatesthe #ows from stage to stage.They study the separation by RD of close-boiling mixturessuch as mixtures of xylenes, C4 hydrocarbons, andchlorobenzenes. They report that RD is an attractivealternative to conventional <strong>distillation</strong> when the relativevolatility is less than 1.06. RD of close-boiling mixtureshas also been studied by Terrill, Sylvestre and Doherty(1985) who suggest that it is possible to separate m- andp-xylene using sodium in a column with very few equilibriumstages. Cleary and Doherty (1985) provided experimentalsupport for this conclusion.Kumar and Daoutidis (1999) presented a comprehensivedynamic EQ stage model of an ethylene glycol RDcolumn. They compare a model that includes vaporphasebalances to a more conventional model that ignoresthe vapor hold-up and suggest that it is important toinclude the vapor phase in order to more accuratelymodel the process dynamics. The major thrust of thiswork is the design of a control system that performs wellwith stability in the high-purity region.Moe, Hauan, Lien and Hertzberg (1995) discuss possiblenumerical problems when developing dynamicmodels of RD based on phase and chemical equilibriumprinciples.3.5. Batch <strong>reactive</strong> <strong>distillation</strong>Batch <strong>reactive</strong> <strong>distillation</strong>, an inherently unsteadystateprocess has been studied by Corrigan and Ferris(1969), Egly, Ruby and Seid (1979), Cuille and Reklaitis(1986), Reuter, Wozny and Jeromin (1989), Albet, LeLann, Joulia and Koehret (1991); Machiettoand Mujtaba (1992); Mujtaba and Machietto (1992);S+rensen and Skogestad (1992, 1994); S+rensen,Machietto, Stuart and Skogestad (1996); Patlasov (1996);Bollyn and Wright (1998); Xu and Dudukovic (1999) andWajge and Reklaitis (1999), and Venimadhavan, Maloneand Doherty (1999b).Corrigan and Ferris (1969) provided a limited quantityof data for the methanol acetic acid esteri"cation reactionin an Oldershaw column. The paper does not includeany attempt at modelling the process. The modelsof Albet et al. (1991) and of Mujtaba and Machietto(1992) allow for changes in the component hold-ups butassume constant liquid molar hold-ups. These modelsalso use steady-state energy balances. Reuter, Woznyand Jeromin (1989) develop the most complete EQstage model of batch RD that includes the hold-upof both phases and process controller equations. Arelaxation method is used to solve the unsteadystatemodel equations while Newton's method is used tosolve the steady-state equations at each time step. A comparisonwith some dynamic product composition datafor a transesteri"cation plant shows good agreementwith the calculated product composition. Cuille andReklaitis (1986) neglect the vapor-phase hold-up, assumethat the volumetric hold-up on each stage is constant,and assume pressure drops and stage e$ciencies to beconstant. The DAE system was solved using the LSODInumerical integration routine. Egly et al. (1979),Machietto and Mujtaba (1992), and Mujtaba andMachietto (1992) look at the optimal design and operationof batch RD.S+rensen and Skogestad (1992, 1994) and S+rensenet al. (1996) consider the controllability of batch RD.Bollyn and Wright (1998) develop a model of a batch RDprocess for the synthesis of the ethyl ester of pentenoicacid. In this process the reaction occurs only in thereboiler and not at all in the column itself. Thus, themodel is somewhat simpler than other dynamic modelsthat are discussed here. Xu and Dudukovic (1999) developeda dynamic model for semi-batch photo RD. TheDAE equations that formed their model were solvedusing the LSODI routine. Wajge and Reklaitis (1999)describe in detail a package called RDBOPT for thedesign of operation policies for <strong>reactive</strong> batch <strong>distillation</strong>.The model is essentially the same as that used by Cuilleand Reklaitis (1986), but the DAE system of model equationsis solved using the DASPK solver.Venimadhavan et al. (1999b) examined a novel distillatepolicy and propose a new re#ux policy for equimolarreactions. For the special case of butyl acetate productionthe new policies lead to complete conversion of thereactants and high-purity products that are unobtainableby conventional methods.3.6. Primarily experimental papersIn addition to the papers cited above, there are someothers whose main thrust is on providing experimentaldata, and in which the modelling activity provides onlya supporting role.Carra et al. (1979b) and Carra, Morbidelli,Santacesaria & Buzzi (1979a) studied the synthesis of
- Page 7 and 8: R. Taylor, R. Krishna / Chemical En
- Page 9 and 10: R. Taylor, R. Krishna / Chemical En
- Page 12 and 13: 5194 R. Taylor, R. Krishna / Chemic
- Page 14 and 15: 5196 R. Taylor, R. Krishna / Chemic
- Page 16 and 17: 5198 R. Taylor, R. Krishna / Chemic
- Page 18 and 19: 5200 R. Taylor, R. Krishna / Chemic
- Page 22 and 23: 5204 R. Taylor, R. Krishna / Chemic
- Page 24 and 25: 5206 R. Taylor, R. Krishna / Chemic
- Page 26 and 27: 5208 R. Taylor, R. Krishna / Chemic
- Page 28 and 29: 5210 R. Taylor, R. Krishna / Chemic
- Page 30 and 31: 5212 R. Taylor, R. Krishna / Chemic
- Page 32 and 33: 5214 R. Taylor, R. Krishna / Chemic
- Page 34 and 35: 5216 R. Taylor, R. Krishna / Chemic
- Page 36 and 37: 5218 R. Taylor, R. Krishna / Chemic
- Page 38 and 39: 5220 R. Taylor, R. Krishna / Chemic
- Page 40 and 41: 5222 R. Taylor, R. Krishna / Chemic
- Page 42 and 43: 5224 R. Taylor, R. Krishna / Chemic
- Page 44 and 45: 5226 R. Taylor, R. Krishna / Chemic
- Page 47: R. Taylor, R. Krishna / Chemical En