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International Journal of
eISSN: 2475-5559

Petrochemical Science & Engineering

Research Article Volume 4 Issue 2

Deterministic modeling of an industrial steam ethane cracker

Selin Gundur Demiryurek,1 Erdogan Alper,2 Canan Ozgen1

1Chemical Engineering Department, METU, Ankara, Turkey
2Chemical Engineering Department, Hacettepe University, Ankara, Turkey

Correspondence: Erdogan Alper, Chemical Engineering Department, Hacettepe University, Ankara, Turkey

Received: January 30, 2017 | Published: April 3, 2019

Citation: Demiryurek SG, Alper E, Ozgen C. Deterministic modeling of an industrial steam ethane cracker. Int J Petrochem Sci Eng. 2019;4(2):41-45. DOI: 10.15406/ipcse.2019.04.00101

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Abstract

Rate-based deterministic modeling requires simple, yet sufficiently accurate modeling of complex petrochemical systems. In this work, steam ethane cracking was modeled with several molecular reactions, in addition to coke formation and coke removal by steam reforming reactions. A rate-based model was then developed which incorporates the reaction model together with momentum, energy and mass balances. The model consisted of nonlinear ODEs which were solved numerically. The developed model was then validated by the published experimental data from a pilot plant. Then it was utilized to simulate an industrial unit. This deterministic model simulates all the essentials of an industrial steam ethane cracking reactor so that optimum process parameters can be searched and determined.

Keywords: rate-based modeling, steam ethane cracking, ethylene manufacture

Introduction

Nowadays, rate-based deterministic modeling plays an essential role in the design, simulation and optimization of chemical process units, such as reactors. True understanding of the chemical reactions coupled with appropriate transport phenomena can enable reliable simulation of petrochemical reactors. The key in this endeavor is the availability of accurate intrinsic reaction kinetics data. In recent years, significant progress has been achieved in predicting the behavior of industrially important complex petrochemical reaction systems such as steam cracking of paraffinic streams.1‒3 Commonly, the developed models are tested for laboratory-scale units. Accordingly, modeling and validation with real industrial units is still scarce. In this work, an industrial steam ethane cracker has been investigated as a test case for several reasons. First, it is a well-established petrochemical process and the detailed molecular and radical chemistry is fairly well known.3–9 Second, reactor internals are relatively simple so that hydrodynamics can be formulated accurately. Indeed, in-house developed, reaction kinetics (CRACKSIM).3,5,7,8 and reactor modeling tools (COILSIM)10 for steam cracking have been published. There are also advanced furnace models which can predict increases in coke layer - hence increase in metal temperature. However, there is still a need for simple yet accurate models which can quickly predict 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 intermediate of any olefinic petrochemical complex. It cannot be found naturally in hydrocarbon sources, such as natural gas and petroleum. Therefore, it has to be manufactured. Ethylene is mainly produced by steam cracking of paraffinic feedstocks such as ethane (gas-based) and light straight-run naphtha (liquid-based).11 Depending on the prevailing conjuncture LPG, atmospheric gas oil (AGO), vacuum gas oil (VGO) –amongst others- can also be cracked. The source of ethane is mainly “associated gas” which is co-produced at oil and shale gas fields. Interestingly, while cracking LPG, naphtha, AGO, and VGO significant amount of ethane is also co-produced which is recovered and recycled as feed to a separate ethane cracker or a mega split cracker? Paraffinic feed stocks have both C-C and C-H bonds and their bond energies are 345 and 413kJ/mole respectively. Consequently, steam cracking is an endothermic process and by breaking the C-C bonds of big molecules -rather than C-H bonds-smaller molecules are produced. The cracking process is carried out in long tubular reactors, known as radiant tubes, which are placed vertically in a large, rectangular gas-fired furnace.11 The furnace usually consists of convection and radiation sections where the feedstock first enters the convection section so that the hot flue gas preheats the feed before it enters the radiation section. Typical inlet temperatures to the radiant tube range from 500 to 600°C.11 On the other hand, Millisecond Technology of KBR Co. employs furnaces with one type of coil-namely radiant at 700oC–which can also result in much lower residence times. In ordinary crackers, steam is introduced at an intermediate point in the convection section, and is preheated together with the feedstock. Typical steam requirements are as given in Table 1. Steam–which is an inert- lowers the partial pressure of hydrocarbons which is necessary from the point of reaction thermodynamics as the pyrolysis reactions increase the number of moles. In addition, steam lowers the partial pressure of high-molecular weight aromatics, reducing undesired condensation reactions. Finally, it contributes to the partial removal of coke in the tubes through steam reforming. The radiant coil is directly heated by the burners, leading the process gas to the cracking temperature, which ranges from 850 to 950°C. The temperature at the outlet of the radiant coil typically ranges from 775 to 885°C.11 The reactor effluent is quickly quenched to prevent further reactions, compressed and sent to a separation unit of sequential distillation columns, for the recovery of ethylene and other products such as methane, ethane, propane, propylene, C4’s and pyrolysis gasoline. Naturally, ethylene yield is much higher for gas-based crackers while naphtha produces more C4’s and aromatic-rich pyrolysis gasoline.

Feed

Kg steam /kg hydrocarbon

Ethane

0.2-0.4

Propane

0.3-0.5

Naptha

0.4-0.8

Gas oil

0.8-1.00

Table 1 Steam requirements in steam cracking

Reaction mechanism modeling

The reaction mechanism of steam cracking of hydrocarbons to form ethylene can be formulated in different ways, namely, according to molecular and free-radical mechanisms, of which the last is the most detailed and perhaps the most accurate one.12 Froment et al.13,14 proposed molecular schemes approximating the free-radical nature of ethane cracking, where kinetic parameters were estimated on the basis of pilot-plant data. These models are easier to solve because they lead to a set of non-stiff differential equations, whereas the free-radical mechanism leads to problematic stiff differential equations that are difficult to solve.15 For instance, Sundaram et al.,16 developed a free-radical scheme for ethane cracking, where 49reactions were proposed and products heavier than C5H10, whose yields are usually very small, were lumped together as the single component C5+ to simplify the reaction scheme. Kinetic parameters were mainly obtained through trial and error and by fitting pilot-plant data. Other free-radical schemes have also been proposed by several authors, using fewer reactions.17,18 Rangaiah et al.19 evaluated several reaction schemes for ethane cracking, including the molecular15 and the free-radical schemes16 which were proposed by Froment and his group, and concluded that molecular mechanism is also acceptable.

Modeling the steam ethane cracker

In the present study, first the model developed by Froment et al.,13 has been used as the basis for simulation. Here a molecular scheme with several reactions was adapted (Figure 1). The mass flow inside the reactor, which has a large length-to-diameter ratio and a high fluid velocity,20 can be taken as plug flow. Nearly 90% of the heat transfer is accomplished by radiation mechanisms, namely between hot flue gases/coil and between refractory walls/coil. Since the reactions involved are extremely endothermic (1.6-2.8MJ/kg HC converted) very high heat fluxes, typically 75-85kW/m2 coil, are needed thus uncoupling the reactions and thermal phenomena occurring inside the tubes from those occurring outside. A one dimensional axial model was used for the mass, momentum, and heat-transfer, as high turbulence in the reactor tubes would effectively cancel out gradients in radial direction21 leading to the following equations:

Mass balance:

d F j dz =  R j * π d t 2 4 =( i α ij * r i )* π d t 2 4 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeWaaSaaa8aabaWdbiaadsgacaWGgbWdamaaBaaabaWdbiaadQga a8aabeaaaeaapeGaamizaiaadQhaaaGaeyypa0JaaiiOaiaadkfapa WaaSbaaeaapeGaamOAaaWdaeqaa8qacaGGQaWaaSaaa8aabaWdbiab ec8aWjaadsgapaWaaSbaaeaapeGaamiDaaWdaeqaamaaCaaabeqcfa waa8qacaaIYaaaaaqcfa4daeaapeGaaGinaaaacqGH9aqpdaqadaWd aeaapeWaaybuaeqapaqaa8qacaWGPbaabeWdaeaapeGaeyyeIuoaai abeg7aH9aadaWgaaqaa8qacaWGPbGaamOAaaWdaeqaa8qacaGGQaGa amOCa8aadaWgaaqaa8qacaWGPbaapaqabaaapeGaayjkaiaawMcaai aacQcadaWcaaWdaeaapeGaeqiWdaNaamiza8aadaWgaaqaa8qacaWG 0baapaqabaWaaWbaaeqajuaybaWdbiaaikdaaaaajuaGpaqaa8qaca aI0aaaaaaa@5BE0@    (1)

r i =  k i C j α j MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaamOCa8aadaWgaaqaa8qacaWGPbaapaqabaWdbiabg2da9iaa cckacaWGRbWdamaaBaaabaWdbiaadMgaa8aabeaadaqfGaqabeqaba GaaGzaVdqaa8qacqGHpis1aaGaam4qa8aadaWgaaqaa8qacaWGQbaa paqabaWaaWbaaeqabaWdbiabeg7aH9aadaWgaaqaa8qacaWGQbaapa qabaaaaaaa@45B4@    (2)

C j =  F j j=1 n F j P t RT MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaam4qa8aadaWgaaqaa8qacaWGQbaapaqabaWdbiabg2da9iaa cckadaWcaaWdaeaapeGaamOra8aadaWgaaqaa8qacaWGQbaapaqaba aabaWdbmaavadabeWdaeaapeGaamOAaiabg2da9iaaigdaa8aabaWd biaad6gaa8aabaWdbiabggHiLdaacaWGgbWdamaaBaaabaWdbiaadQ gaa8aabeaaaaWdbmaalaaapaqaa8qacaWGqbWdamaaBaaabaWdbiaa dshaa8aabeaaaeaapeGaamOuaiaadsfaaaaaaa@4938@    (3)

j=1 9 F j c pj * dT dz + π d t 2 4 i Δ H i * r i =q( z )*π d t MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbaoaaqadaba GaamOramaaBaaabaGaamOAaaqabaaabaGaamOAaiabg2da9iaaigda aeaacaaI5aaacqGHris5aiaadogadaWgaaqaaiaadchacaWGQbaabe aacaGGQaaeaaaaaaaaa8qadaWcaaWdaeaapeGaamizaiaadsfaa8aa baWdbiaadsgacaWG6baaaiabgUcaRmaalaaapaqaa8qacqaHapaCca WGKbWdamaaBaaabaWdbiaadshaa8aabeaadaahaaqabeaapeGaaGOm aaaaa8aabaWdbiaaisdaaaWaaybuaeqapaqaa8qacaWGPbaabeWdae aapeGaeyyeIuoaaiaaysW7cqGHuoarcaWGibWdamaaBaaabaWdbiaa dMgaa8aabeaapeGaaiOkaiaadkhapaWaaSbaaeaapeGaamyAaaWdae qaa8qacqGH9aqpcaWGXbWaaeWaa8aabaWdbiaadQhaaiaawIcacaGL PaaacaGGQaGaeqiWdaNaamiza8aadaWgaaqaa8qacaWG0baapaqaba aaaa@60AC@    (4)

Energy balance:

 dT dz = 1 j=1 9 F j c pj [ q( z )*π d t + π d t 2 4 i ( Δ H i )* r i ] MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeWaaSaaa8aabaWdbiaacckacaWGKbGaamivaaWdaeaapeGaamiz aiaadQhaaaGaeyypa0ZaaSaaa8aabaWdbiaaigdaa8aabaWdbmaava dabeWdaeaapeGaamOAaiabg2da9iaaigdaa8aabaWdbiaaiMdaa8aa baWdbiabggHiLdaacaWGgbWdamaaBaaabaWdbiaadQgaa8aabeaape Gaam4ya8aadaWgaaqaa8qacaWGWbGaamOAaaWdaeqaaaaapeWaamWa a8aabaWdbiaadghadaqadaWdaeaapeGaamOEaaGaayjkaiaawMcaai aacQcacqaHapaCcaWGKbWdamaaBaaabaWdbiaadshaa8aabeaapeGa ey4kaSYaaSaaa8aabaWdbiabec8aWjaadsgapaWaaSbaaeaapeGaam iDaaWdaeqaamaaCaaabeqaa8qacaaIYaaaaaWdaeaapeGaaGinaaaa daGfqbqab8aabaWdbiaadMgaaeqapaqaa8qacqGHris5aaWaaeWaa8 aabaWdbiabgkHiTiabgs5aejaadIeapaWaaSbaaeaapeGaamyAaaWd aeqaaaWdbiaawIcacaGLPaaacaGGQaGaamOCa8aadaWgaaqaa8qaca WGPbaapaqabaaapeGaay5waiaaw2faaaaa@6634@    (5)

Momentum balance:

d P t dz = [ 2f d t +  ζ π r b ]* ρ g u 2 + ρ g u du dz MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaeyOeI0YaaSaaa8aabaWdbiaadsgacaWGqbWdamaaBaaabaWd biaadshaa8aabeaaaeaapeGaamizaiaadQhaaaGaeyypa0JaaiiOam aadmaapaqaa8qadaWcaaWdaeaapeGaaGOmaiaadAgaa8aabaWdbiaa dsgapaWaaSbaaeaapeGaamiDaaWdaeqaaaaapeGaey4kaSIaaiiOam aalaaapaqaa8qacqaH2oGEa8aabaWdbiabec8aWjaadkhapaWaaSba aeaapeGaamOyaaWdaeqaaaaaa8qacaGLBbGaayzxaaGaaiOkaiabeg 8aY9aadaWgaaqaa8qacaWGNbaapaqabaWdbiaadwhapaWaaWbaaeqa baWdbiaaikdaaaGaey4kaSIaeqyWdi3damaaBaaabaWdbiaadEgaa8 aabeaapeGaamyDamaalaaapaqaa8qacaWGKbGaamyDaaWdaeaapeGa amizaiaadQhaaaaaaa@5BDF@    (6)

Figure 1 Simplified molecular schemes for Model I, II and III

These differential equations were then solved by using MATLAB© to obtain composition, temperature and pressure profiles along the reactor. Details of these calculations can be found elsewhere.22 The important model parameters–amongst others- are:

  1. composition and mass flow rate of charge,
  2. steam dilution ratio, and
  3. inlet and outlet temperatures of tube making the system an ideal multivariate optimization study case.23

However, the ranges of temperatures depend also on molecular weight and exit temperature of 800-850oC is typical for ethane crackers. Since the reactions are endothermic, the wall temperature is well above these average temperatures which enhance coke formation at the tube wall resulting in increased fuel consumption in the furnace. The coke deposits on the walls of reactor reduce the overall heat transfer coefficient and increase the pressure drop along the reactor. This results in gradual decrease with run time of both the reactor tube metal temperature and the pressure drop across the reactor necessitating periodic shut down. Indeed, after a certain run length, the tubes have to be cleaned. Therefore, the reactor exit temperature and the radiant coil tube metal temperature are controlled carefully in order to prevent unnecessarily high temperatures.23 The governing nonlinear differential equations were first solved without considering the coke formation and named as model I. Then, this model is modified to take into account some more reactions and coke formation equation which is directly related to temperature profile (Model II). Finally, simultaneous coke removal by steam reforming was considered (Model III) as shown in Figure 1. The rate expressions and the relevant reaction kinetics data for coke formation and for coke removal are given in Table 2.

Rate Expression

Reaction

 

 

r 12 = k 12 [ F H 2 O F t P t ] MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaamOCa8aadaWgaaqaa8qacaaIXaGaaGOmaaWdaeqaa8qacqGH 9aqpcaWGRbWdamaaBaaabaWdbiaaigdacaaIYaaapaqabaWdbmaadm aapaqaa8qadaWcaaWdaeaapeGaamOra8aadaWgaaqaa8qacaWGibWd amaaBaaabaWdbiaaikdaa8aabeaapeGaam4taaWdaeqaaaqaa8qaca WGgbWdamaaBaaabaWdbiaadshaa8aabeaaaaWdbiaadcfapaWaaSba aeaapeGaamiDaaWdaeqaaaWdbiaawUfacaGLDbaaaaa@47A9@
r 13 = k 13 [ ( F C O 2 F t P t ) 0.31 ] MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaamOCa8aadaWgaaqaa8qacaaIXaGaaG4maaWdaeqaa8qacqGH 9aqpcaWGRbWdamaaBaaabaWdbiaaigdacaaIZaaapaqabaWdbmaadm aapaqaa8qadaqadaWdaeaapeWaaSaaa8aabaWdbiaadAeapaWaaSba aeaapeGaam4qaiaad+eapaWaaSbaaeaapeGaaGOmaaWdaeqaaaqaba aabaWdbiaadAeapaWaaSbaaeaapeGaamiDaaWdaeqaaaaapeGaamiu a8aadaWgaaqaa8qacaWG0baapaqabaaapeGaayjkaiaawMcaa8aada ahaaqabeaapeGaaGimaiaac6cacaaIZaGaaGymaaaaaiaawUfacaGL Dbaaaaa@4C54@

C+  H 2 O CO+  H 2  MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaam4qaiabgUcaRiaacckacaWGibWdamaaBaaabaWdbiaaikda a8aabeaapeGaam4taiaacckacqGHsgIRcaWGdbGaam4taiabgUcaRi aacckacaWGibWdamaaBaaabaWdbiaaikdacaGGGcaapaqabaaaaa@45D3@

 

C+ C O 2  2CO MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaam4qaiabgUcaRiaacckacaWGdbGaam4ta8aadaWgaaqaa8qa caaIYaaapaqabaWdbiaacckacqGHsgIRcaaIYaGaam4qaiaad+eaaa a@4187@

Table 2 Rate expressions added for Model-III28

Results and discussions

Model I is the simplest approach and does not take into account both coking and steam coke reforming. It is the same model as given by Froment et al.15 Model II considers coke formation.25,26 Finally, Model III considers not only coke formation but also coke removal due to simultaneous steam reforming whose reaction kinetics data are given in Table 2 & 3. It is a known fact that steam reforming requires a catalyst. It is presumed that Ni in stainless steel acts as a catalyst for coke formation.27 and also for steam reforming of coke. Indeed, dimethyldisulfide (DMDS) is often used to eliminate or decrease the catalytic activity of Ni which is present in steel pipes. Figure 2 and Figure 3 compare simulation results of Model II with experimental data. Figure 4 compares the results of Mode III with Yanchesmesh’s data (2) indicating reasonable agreement. Figure 3 shows the results of Model III which takes into account both coke formation and coke removal due to steam reforming in comparison with literature data.28 After validation of Model III, this model was compared with the results of an industrial unit in Figure 5 for the temperature profile. It was therefore possible to see the coke and ethylene formations along the tube upon increasing the furnace duty. When the results in Figure 4 together with Figure 5 and Figure 6 are compared it is seen that when the temperature in the tubes increase both coke and ethylene formations increase. However, on the long term, coke deposition results in a fall in the thermal efficiency of furnace. Model can also give predictions for the metal temperature so that cracking of tubes can be predicted.

Figure 2 Temperature profile.

Figure 3 Pressure profile.

Figure 4 Ethylene profile in the tube.

Figure 5 Temperature profiles at different furnace duties.

Figure 6 Coke formation at different furnace duties.

Rate Coefficient

A (s-1 or l mole-1s-1)

E (j/mole)

k 12 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaam4Aa8aadaWgaaqcfauaa8qacaaIXaGaaGOmaaWdaeqaaaaa @399D@

5.09xE4

2.38xE5

k 13 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaam4Aa8aadaWgaaqcfauaa8qacaaIXaGaaG4maaqcfa4daeqa aaaa@3A2C@

1.12xE8

2.45xE5

Table 3 Kinetic parameters added reaction for model-III

Conclusion

Rate-based deterministic modeling can be a valuable simulation and optimization tool for petrochemical reactors. The key issue is to establish a reaction network model which is simple but is sufficiently representative of real complex system.29 As an example, steam ethane cracking can be modeled and industrial crackers can be simulated. Such simulations may serve finding optimum conditions of process variables. For instance, Model III developed here consists of 8 molecular reactions in addition to coking formation and coke removal by steam reforming can estimate accurately essentials of an industrial steam cracking reactor, such as the temperature profile inside the tube. Therefore, effect of process variables can be investigated so that the unit is operated at optimum conditions (Table 4).

Symbol

Definition

Unit

Cj

Concentration of component j

kmol/m3

cpj

Specific heat capacity of component j

J mol/K

dt

Diameter of the tube

m

F

The exchange factor

f

Fanning friction factor

Fj

Molar flow rate of component j

mol/s

Ft

Total molar flow rate of process gas

mol/s

G

Mass flux

kg/m2.s

Gf

Flue gas mass flow rate

kg/h

H

Height of the furnace

m

L

Length of the furnace

m

Ltube

Total length of the tubes

m

Mm

Molecular weight of the gas

kg/kmol

Pc

Critical pressure

atm

Pt

Total Pressure

atm

Q(z)

Heat flux along the length z

j/m2

Qg

The enthalpy of flue gas

Qn

The net heat release

j/s

qrad

The average radiant heat flux

jj/s/m2s

Qtotal

The total radiant heat amount

R

Ideal Gas Constant

J/mo K

Rb

Radius of the bend

m

Re

Reynolds Number

R(i)

Rate of reaction i

kmol/m3 s

T

Temperature

K

Tc

Critical temperature

K

Tt

Mean tube wall temperature

K

u

Velocity of the gas

m/s

Vc

Critical volume

m3/kmol

z

Length

m

Zc

Compressibility factor

zent

The fraction of excess air

xexcess_air

Excess air to burners

ΔHi

Heat of reaction of component i

j/mol

ΔHf

Heat of formation of component j

j/mol

ϕ

Emissivity of the furnace

η

Furnace Efficiency

%

α

The absorptivity of the tubes

αij

Stoichiometric coefficient component j in reaction i

ζ

Nekrasov factor

µ

Viscosity of mixture

Pa s

ξ

Angle described by the bend

ρg

Density of the gas

kg/m3

Table 4 Nomenclature

Acknowledgements

None.

Conflicts of interest

The author declares that there are no conflicts of interest.

References

  1. Sundaram KM, Froment GF. Comparison of simulation‒models for empty tubular reactors. Chem Eng Sci. 1979;34(1):117–124.
  2. Dente M, Ranzi E, Goossens AG. Detailed prediction of olefin yields from 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 paths and rate‒equations in the thermal‒cracking of normal and branched paraffins. Comput Chem Eng. 1984;8(2):137–142.
  4. Van Geem KM, Reyniers MF, Marin GB, et al. Automatic reaction network generation using RMG for steam cracking of n‒hexane. AIChE J. 2006;52:718–730.
  5. Hillewaert LP, Dierickx JL, Froment GF. Computer generation ofreaction 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 their mixtures. Ind Eng Chem Fund. 1978;17(3):174–182.
  7. Willems PA, Froment G. Kinetic modeling of the thermal‒cracking of hydrocarbons. 1. Calculation of frequency factors. Ind Eng Chem Res. 1988;27(11):1959–1966.
  8. Willems PA, Froment GF. Kinetic modeling of the thermal‒cracking of hydrocarbons. 2. Calculation of activation‒energies. Ind Eng Chem Res. 1988;27(11):1966–1971.
  9. Van Geem KM, Heynderickx GJ, Marin GB. Effect of radial temperature profiles on yields in steam cracking. AIChE J. 2004;50(1):173–183.
  10. Van Geem K, Reyniers MF, Marin GB. Challenges of modeling steam cracking of heavy feedstocks. Oil Gas Sci Technol Revue de l institut francais du petrole. 2008;63(1):79–94.
  11. Ethylene. In: McKetta J et al, editors. Encyclopaedia of Chemical Processing and Design. 1982;46.
  12. Froment GF. Kinetics and Reactor Design in the Thermal Cracking for Olefins Production. Chem Eng Sci. 1992;47(9‒11):2163‒2177.
  13. Froment G F, Van de Steene BO, Van Damme PS, et al. Thermal Cracking of Ethane and Ethane‒Propane Mixtures. Ind Eng Chem Process 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 Eng Sci. 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 Eng Chem Fundam. 1972;11:233‒239.
  18. Siklos P, Balint A, Albright LF. Acta Chim.‒Hung. 1983;114:79.
  19. Rangaiah GP, Pang NS, Tay VL. Study of Kinetic Models for Simulating Industrial Ethane Cracking Reactors. Proceedings of the 4th Asian Pacific Confederation of Chemical Engineering (APCCE). 1987.
  20. Geem KV. Single Event Microkinetic Model for Steam Cracking of Hydrocarbons. 2006.
  21. Heynderickx GJ, Froment GF. Simulation and Comparison of the Run Length of an Ethane Cracking Furnace with Reactor Tubes of Circular and 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 an Industrial Ethylene Reactor Using a Non dominated Sorting Genetic Algorithm. 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 the Thermal Cracking of Ethane. AIChE Journal. 1981;27(6):946‒951.
  26. Froment GC, Reyniers GC, Zimmermann G, et al. Coke Formation in 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‒Based Catalysts for Hydrogen Production via Methane Cracking. Turkish Journal of Chemistry. 2008;32(2):157‒168.
  28. Yancheshmeh MSS, Haghighi SS. Modeling ethane pyrolysis process: A study on effects of steam and carbon dioxide on ethylene and hydrogen productions. Chemical Engineering Journal. 2013;215‒216:550‒560.
  29. Sabbe KM, Van Geem KM, Reyniers MF, et al. First Principle‒Based Simulation of Ethane Steam Cracking. AIChE J. 2015;57(2):482‒496.
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