Determınıstıc Modelıng Of An ındustrıal Steam Ethane Cracker

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International Journal of Petrochemical Science & EngineeringResearch ArticleOpen AccessDetermınıstıc modelıng of an ındustrıal steamethane crackerAbstractVolume 4 Issue 2 - 2019Rate-based deterministic modeling requires simple, yet sufficiently accurate modelingof complex petrochemical systems. In this work, steam ethane cracking was modeledwith several molecular reactions, in addition to coke formation and coke removal bysteam reforming reactions. A rate-based model was then developed which incorporatesthe reaction model together with momentum, energy and mass balances. The modelconsisted of nonlinear ODEs which were solved numerically. The developed modelwas then validated by the published experimental data from a pilot plant. Then itwas utilized to simulate an industrial unit. This deterministic model simulates allthe essentials of an industrial steam ethane cracking reactor so that optimum processparameters can be searched and determined.Selin Gündür Demiryürek,1 Erdoğan Alper,2Canan Özgen1Keywords: rate-based modeling, steam ethane cracking, ethylene manufactureIntroductionNowadays, rate-based deterministic modeling plays an essentialrole in the design, simulation and optimization of chemical processunits, such as reactors. True understanding of the chemical reactionscoupled with appropriate transport phenomena can enable reliablesimulation of petrochemical reactors. The key in this endeavor is theavailability of accurate intrinsic reaction kinetics data. In recent years,significant progress has been achieved in predicting the behavior ofindustrially important complex petrochemical reaction systems suchas steam cracking of paraffinic streams.1‒3 Commonly, the developedmodels are tested for laboratory-scale units. Accordingly, modelingand validation with real industrial units is still scarce. In this work,an industrial steam ethane cracker has been investigated as a testcase for several reasons. First, it is a well-established petrochemicalprocess and the detailed molecular and radical chemistry is fairlywell known.3–9 Second, reactor internals are relatively simple sothat hydrodynamics can be formulated accurately. Indeed, in-housedeveloped, reaction kinetics (CRACKSIM).3,5,7,8 and reactor modelingtools (COILSIM)10 for steam cracking have been published. There arealso advanced furnace models which can predict increases in cokelayer - hence increase in metal temperature. However, there is stilla need for simple yet accurate models which can quickly predictfurnace behavior. Such a model can then be extended to new furnaceconfigurations, such as “split cracking” where a single mega furnaceis used to crack both gas and liquid feedstocks.Ethylene productionEthylene is the most important and versatile building blockintermediate of any olefinic petrochemical complex. It cannotbe found naturally in hydrocarbon sources, such as natural gasand petroleum. Therefore, it has to be manufactured. Ethylene ismainly produced by steam cracking of paraffinic feedstocks such asethane (gas-based) and light straight-run naphtha (liquid-based).11Depending on the prevailing conjuncture LPG, atmospheric gasoil (AGO), vacuum gas oil (VGO) –amongst others- can also becracked. The source of ethane is mainly “associated gas” which isco-produced at oil and shale gas fields. Interestingly, while crackingLPG, naphtha, AGO, and VGO significant amount of ethane is alsoco-produced which is recovered and recycled as feed to a separateethane cracker or a mega split cracker? Paraffinic feed stocks haveSubmit Manuscript http://medcraveonline.comInt J Petrochem Sci Eng. 2019;4(2):41‒45.Chemical Engineering Department, METU, Ankara, TurkeyChemical Engineering Department, Hacettepe University,Ankara, Turkey12Correspondence: Erdoğan Alper, Chemical EngineeringDepartment, Hacettepe University, Ankara, Turkey,EmailReceived: January 30, 2017 Published: April 03, 2019both C-C and C-H bonds and their bond energies are 345 and 413kJ/mole respectively. Consequently, steam cracking is an endothermicprocess and by breaking the C-C bonds of big molecules -rather thanC-H bonds-smaller molecules are produced. The cracking process iscarried out in long tubular reactors, known as radiant tubes, whichare placed vertically in a large, rectangular gas-fired furnace.11 Thefurnace usually consists of convection and radiation sections wherethe feedstock first enters the convection section so that the hot fluegas preheats the feed before it enters the radiation section. Typicalinlet temperatures to the radiant tube range from 500 to 600 C.11On the other hand, Millisecond Technology of KBR Co. employsfurnaces with one type of coil-namely radiant at 700oC–which canalso result in much lower residence times. In ordinary crackers, steamis introduced at an intermediate point in the convection section, andis preheated together with the feedstock. Typical steam requirementsare as given in Table 1. Steam–which is an inert- lowers the partialpressure of hydrocarbons which is necessary from the point of reactionthermodynamics as the pyrolysis reactions increase the number ofmoles. In addition, steam lowers the partial pressure of high-molecularweight aromatics, reducing undesired condensation reactions. Finally,it contributes to the partial removal of coke in the tubes through steamreforming. The radiant coil is directly heated by the burners, leadingthe process gas to the cracking temperature, which ranges from 850to 950 C. The temperature at the outlet of the radiant coil typicallyranges from 775 to 885 C.11 The reactor effluent is quickly quenchedto prevent further reactions, compressed and sent to a separation unitof sequential distillation columns, for the recovery of ethylene andother products such as methane, ethane, propane, propylene, C4’s andpyrolysis gasoline. Naturally, ethylene yield is much higher for gasbased crackers while naphtha produces more C4’s and aromatic-richpyrolysis gasoline.Reaction mechanism modelingThe reaction mechanism of steam cracking of hydrocarbons toform ethylene can be formulated in different ways, namely, accordingto molecular and free-radical mechanisms, of which the last is themost detailed and perhaps the most accurate one.12 Froment et al.13,14proposed molecular schemes approximating the free-radical natureof ethane cracking, where kinetic parameters were estimated on thebasis of pilot-plant data. These models are easier to solve becausethey lead to a set of non-stiff differential equations, whereas the free-41 2019 Demiryürek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and build upon your work non-commercially.

Copyright: 2019 Demiryürek et al.Determınıstıc modelıng of an ındustrıal steam ethane crackerradical mechanism leads to problematic stiff differential equationsthat are difficult to solve.15 For instance, Sundaram et al.,16 developeda free-radical scheme for ethane cracking, where 49reactions wereproposed and products heavier than C5H10, whose yields are usuallyvery small, were lumped together as the single component C5 tosimplify the reaction scheme. Kinetic parameters were mainlyobtained through trial and error and by fitting pilot-plant data. Otherfree-radical schemes have also been proposed by several authors,using fewer reactions.17,18 Rangaiah et al.19 evaluated several reactionschemes for ethane cracking, including the molecular15 and the freeradical schemes16 which were proposed by Froment and his group, andconcluded that molecular mechanism is also acceptable.42reactor. Details of these calculations can be found elsewhere.22 Theimportant model parameters–amongst others- are:i. composition and mass flow rate of charge,ii. steam dilution ratio, andiii. inlet and outlet temperatures of tube making the system an idealmultivariate optimization study case.23Table 1 Steam requirements in steam crackingFeedKg steam /kg 8Gas oil0.8-1.00Modeling the steam ethane crackerIn the present study, first the model developed by Froment et al.,13has been used as the basis for simulation. Here a molecular schemewith several reactions was adapted (Figure 1). The mass flow insidethe reactor, which has a large length-to-diameter ratio and a high fluidvelocity,20 can be taken as plug flow. Nearly 90% of the heat transferis accomplished by radiation mechanisms, namely between hot fluegases/coil and between refractory walls/coil. Since the reactionsinvolved are extremely endothermic (1.6-2.8MJ/kg HC converted)very high heat fluxes, typically 75-85kW/m2 coil, are needed thusuncoupling the reactions and thermal phenomena occurring insidethe tubes from those occurring outside. A one dimensional axialmodel was used for the mass, momentum, and heat-transfer, as highturbulence in the reactor tubes would effectively cancel out gradientsin radial direction21 leading to the following equations:Mass balance: πd 2dF jπd 2 αij *ri * t R * tj dz44 i r k Ciijαj(1)(2)FjPtC j n F RTj 1 jdT π dt 2 9j 1 F j c *q ( z) *π d H * r i itpj dz4 iEnergy balance: dT1πd 2 q( z )*π dt t ( H i )*ri dz4 i 9j 1F j c pj (3)(4)(5)Momentum balance:dP 2 fduζ 2(6) t * ρgu ρgudz dt π rb dzThese differential equations were then solved by using MATLAB to obtain composition, temperature and pressure profiles along theFigure 1 Simplified molecular schemes for Model I, II and III.However, the ranges of temperatures depend also on molecularweight and exit temperature of 800-850oC is typical for ethanecrackers. Since the reactions are endothermic, the wall temperatureis well above these average temperatures which enhance cokeformation at the tube wall resulting in increased fuel consumptionin the furnace. The coke deposits on the walls of reactor reducethe overall heat transfer coefficient and increase the pressure dropalong the reactor. This results in gradual decrease with run time ofboth the reactor tube metal temperature and the pressure drop acrossthe reactor necessitating periodic shut down. Indeed, after a certainrun length, the tubes have to be cleaned. Therefore, the reactor exittemperature and the radiant coil tube metal temperature are controlledcarefully in order to prevent unnecessarily high temperatures.23 Thegoverning nonlinear differential equations were first solved withoutconsidering the coke formation and named as model I. Then, thismodel is modified to take into account some more reactions and cokeformation equation which is directly related to temperature profile(Model II). Finally, simultaneous coke removal by steam reformingwas considered (Model III) as shown in Figure 1. The rate expressionsand the relevant reaction kinetics data for coke formation and for cokeremoval are given in Table 2.Results and discussionsModel I is the simplest approach and does not take into accountboth coking and steam coke reforming. It is the same model as givenby Froment et al.15 Model II considers coke formation.25,26 Finally,Citation: Demiryürek SG, Alper E, Özgen C. Determınıstıc modelıng of an ındustrıal steam ethane cracker. Int J Petrochem Sci Eng. 2019;4(2):41‒45. DOI:10.15406/ipcse.2019.04.00101

Copyright: 2019 Demiryürek et al.Determınıstıc modelıng of an ındustrıal steam ethane crackerModel III considers not only coke formation but also coke removaldue to simultaneous steam reforming whose reaction kinetics data aregiven in Table 2 & 3. It is a known fact that steam reforming requiresa catalyst. It is presumed that Ni in stainless steel acts as a catalystfor coke formation.27 and also for steam reforming of coke. Indeed,dimethyldisulfide (DMDS) is often used to eliminate or decrease thecatalytic activity of Ni which is present in steel pipes. Figure 2 andFigure 3 compare simulation results of Model II with experimentaldata. Figure 4 compares the results of Mode III with Yanchesmesh’sdata (2) indicating reasonable agreement. Figure 3 shows the resultsof Model III which takes into account both coke formation and cokeremoval due to steam reforming in comparison with literature data.28After validation of Model III, this model was compared with theresults of an industrial unit in Figure 5 for the temperature profile. Itwas therefore possible to see the coke and ethylene formations alongthe tube upon increasing the furnace duty. When the results in Figure4 together with Figure 5 and Figure 6 are compared it is seen thatwhen the temperature in the tubes increase both coke and ethyleneformations increase. However, on the long term, coke depositionresults in a fall in the thermal efficiency of furnace. Model can alsogive predictions for the metal temperature so that cracking of tubescan be predicted.Figure 3 Pressure profile.Table 2 Rate expressions added for Model-III28Rate ExpressionReaction FH O 2 P r k t1212 Ft C H O CO H220.31 FCO2 r k Pt 1313 F t C CO 2CO2Figure 4 Ethylene profile in the tube.Table 3 Kinetic parameters added reaction for model-IIIRate CoefficientA (s-1 or l mole-1s-1)E (j/mole)k125.09xE42.38xE5131.12xE82.45xE5kFigure 5 Temperature profiles at different furnace duties.Figure 2 Temperature profile.Figure 6 Coke formation at different furnace duties.Citation: Demiryürek SG, Alper E, Özgen C. Determınıstıc modelıng of an ındustrıal steam ethane cracker. Int J Petrochem Sci Eng. 2019;4(2):41‒45. DOI:10.15406/ipcse.2019.04.0010143

Copyright: 2019 Demiryürek et al.Determınıstıc modelıng of an ındustrıal steam ethane crackerConclusionSymbolDefinitionUnitRate-based deterministic modeling can be a valuable simulationand optimization tool for petrochemical reactors. The key issue is toestablish a reaction network model which is simple but is sufficientlyrepresentative of real complex system.29 As an example, steam ethanecracking can be modeled and industrial crackers can be simulated.Such simulations may serve finding optimum conditions of processvariables. For instance, Model III developed here consists of 8molecular reactions in addition to coking formation and coke removalby steam reforming can estimate accurately essentials of an industrialsteam cracking reactor, such as the temperature profile inside the tube.Therefore, effect of process variables can be investigated so that theunit is operated at optimum conditions (Table 4).zLengthmZcCompressibility factorzentThe fraction of excess airxexcess airExcess air to burnersΔHiHeat of reaction of component ij/molΔHfHeat of formation of component jj/molϕEmissivity of the furnaceηFurnace EfficiencyTable 4 NomenclatureαThe absorptivity of the tubes44%SymbolDefinitionUnitαijStoichiometric coefficient component j in reaction iCjConcentration of component jkmol/m3ζNekrasov factorcpjSpecific heat capacity of component jJ mol/KµViscosity of mixturedtDiameter of the tubemξAngle described by the bendFThe exchange factorρgDensity of the gasfFanning friction factorFjMolar flow rate of component jmol/sFtTotal molar flow rate of process gasmol/sGMass fluxkg/m2.sGfFlue gas mass flow ratekg/hHHeight of the furnacemLLength of the furnacemLtubeTotal length of the tubesmMmMolecular weight of the gaskg/kmolPcCritical pressureatmPtTotal PressureatmQ(z)Heat flux along the length zj/m2QgThe enthalpy of flue gasQnThe net heat releasej/sqradThe average radiant heat fluxjj/s/m2sQtotalThe total radiant heat amountRIdeal Gas ConstantJ/mo KRbRadius of the bendmReReynolds NumberR(i)Rate of reaction ikmol/m3 sTTemperatureKTcCritical temperatureKTtMean tube wall temperatureKuVelocity of the gasm/sVcCritical volumem3/kmolPa skg/m3AcknowledgmentsNone.Conflicts of interestThe author declares that there are no conflicts of interest.References1.Sundaram KM, Froment GF. Comparison of simulation‒models forempty tubular reactors. Chem Eng Sci. 1979;34(1):117–124.2.Dente M, Ranzi E, Goossens AG. Detailed prediction of olefin yieldsfrom hydrocarbon pyrolysis through a fundamental simulation‒model(Spyro). Comput Chem Eng. 1979;1979;3(1‒4):61–75.3.Clymans PJ, Froment GF. Computer‒generation of reaction pathsand rate‒equations in the thermal‒cracking of normal and branchedparaffins. Comput Chem Eng. 1984;8(2):137–142.4.Van Geem KM, Reyniers MF, Marin GB, et al. Automatic reactionnetwork generation using RMG for steam cracking of n‒hexane. AIChEJ. 2006;52:718–730.5.Hillewaert LP, Dierickx JL, Froment GF. Computer generationofreaction schemes and rate equations for thermal cracking. AIChE J.1988;34(1):17–24.6.Sundaram KM, Froment GF. Modeling of thermal‒cracking kinetics.3.Radical mechanisms for pyrolysis of simple paraffins, olefins, and theirmixtures. Ind Eng Chem Fund. 1978;17(3):174–182.7.Willems PA, Froment G. Kinetic modeling of the thermal‒cracking ofhydrocarbons. 1. Calculation of frequency factors. Ind Eng Chem Res.1988;27(11):1959–1966.8.Willems PA, Froment GF. Kinetic modeling of the thermal‒crackingof hydrocarbons. 2. Calculation of activation‒energies. Ind Eng ChemRes. 1988;27(11):1966–1971.9.Van Geem KM, Heynderickx GJ, Marin GB. Effect of radial temperatureprofiles on yields in steam cracking. AIChE J. 2004;50(1):173–183.10.Van Geem K, Reyniers MF, Marin GB. Challenges of modeling steamcracking of heavy feedstocks. Oil Gas Sci Technol Revue de l institutfrancais du petrole. 2008;63(1):79–94.Citation: Demiryürek SG, Alper E, Özgen C. Determınıstıc modelıng of an ındustrıal steam ethane cracker. Int J Petrochem Sci Eng. 2019;4(2):41‒45. DOI:10.15406/ipcse.2019.04.00101

Copyright: 2019 Demiryürek et al.Determınıstıc modelıng of an ındustrıal steam ethane cracker11.Ethylene. In: McKetta J et al, editors. Encyclopaedia of ChemicalProcessing and Design. 1982;46.12.Froment GF. Kinetics and Reactor Design in the Thermal Cracking forOlefins Production. Chem Eng Sci. 1992;47(9‒11):2163‒2177.13.Froment G F, Van de Steene BO, Van Damme PS, et al. ThermalCracking of Ethane and Ethane‒Propane Mixtures. Ind Eng ChemProcess Des Dev. 1976;15(4):495‒504.14.Sundaram KM, Froment GF. Modeling of Thermal Cracking Kinetics.1. Thermal Cracking of Ethane, Propane and Their Mixtures. Chem EngSci. 1977;32(6):601‒608.15.Froment GF, Bischoff KB. Chemical Reactor Analysis and Design.1990.16.Sundaram KM, Froment GF. Modeling of Thermal Cracking Kinetics.3. Radical Mechanisms for the Pyrolysis of Simple Paraffins, Olefins,and Their Mixtures. Ind Eng Chem Fundam. 1978;17(3):174‒182.17.Pacey PD, Purnell JH. Propylene from Paraffin Pyrolysis. Ind EngChem Fundam. 1972;11:233‒239.18.19.20.4521.Heynderickx GJ, Froment GF. Simulation and Comparison of the RunLength of an Ethane Cracking Furnace with Reactor Tubes of Circularand Elliptical Cross Sections. Ind Eng Chem Res. 1998;37(3):914‒922.22.Gundur S. Rate‒Based Modeling of Steam Ethane Cracker. 2015.23.Abhijit T, Lee BCS, Ray AK, et al. Multiobjective Optimization of anIndustrial Ethylene Reactor Using a Non dominated Sorting GeneticAlgorithm. Ind Eng Chem Res. 2005;44:124‒141.24.Matar S, Hatch LF. Chemistry of Petrochemical Processes. 2nd Edition.Texas: Gulf Publishing Company. 1981.25.Froment GF, Sundaram KM, Van Damme. Coke Deposition in theThermal Cracking of Ethane. AIChE Journal. 1981;27(6):946‒951.26.Froment GC, Reyniers GC, Zimmermann G, et al. Coke Formationin the Thermal Cracking of Hydrocarbons. Ind Eng Chem Res.1994;33(11):2584‒2590.27.Koc R, Alper E, Croiset E, et al. Partial Regeneration of Ni‒BasedCatalysts for Hydrogen Production via Methane Cracking. TurkishJournal of Chemistry. 2008;32(2):157‒168.Siklos P, Balint A, Albright LF. Acta Chim.‒Hung. 1983;114:79.28.Rangaiah GP, Pang NS, Tay VL. Study of Kinetic Models forSimulating Industrial Ethane Cracking Reactors. Proceedings of the 4thAsian Pacific Confederation of Chemical Engineering (APCCE). 1987.Yancheshmeh MSS, Haghighi SS. Modeling ethane pyrolysis process: Astudy on effects of steam and carbon dioxide on ethylene and hydrogenproductions. Chemical Engineering Journal. 2013;215‒216:550‒560.29.Sabbe KM, Van Geem KM, Reyniers MF, et al. First Principle‒BasedSimulation of Ethane Steam Cracking. AIChE J. 2015;57(2):482‒496.Geem KV. Single Event Microkinetic Model for Steam Cracking ofHydrocarbons. 2006.Citation: Demiryürek SG, Alper E, Özgen C. Determınıstıc modelıng of an ındustrıal steam ethane cracker. Int J Petrochem Sci Eng. 2019;4(2):41‒45. DOI:10.15406/ipcse.2019.04.00101

furnace behavior. Such a model can then be extended to new furnace configurations, such as “split cracking” where a single mega furnace is used to crack both gas and liquid feedstocks. Ethylene production Ethylene is the most important and versatile building block inte

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