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Modeling and Simulation of a Novel Membrane Reactor in Continuous Catalytic Regenerative (CCR) Naphtha Reformer Accompanied with Detailed Description of Kinetic Davood Iranshahi, Shahram Amiri, Mohsen Karimi, Razieh Rafiei, Mitra Jafari, and Mohammad Reza Rahimpour Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/ef302057k • Publication Date (Web): 14 Mar 2013 Downloaded from http://pubs.acs.org on April 30, 2013
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Modeling and Simulation of a Novel Membrane Reactor in Continuous Catalytic Regenerative (CCR) Naphtha Reformer Accompanied with Detailed Description of Kinetic Davood Iranshahia, Shahram Amiria, Mohsen Karimia, Razieh Rafieia, Mitra Jafaria, *
Mohammad Reza Rahimpoura,b, a
Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz71345, Iran
b
Department of Chemical Engineering and Materials Science, University of California, Davis, 1 Shields Avenue, Davis, California 95616, United States
Abstract Today, improving the performance of reformers by increasing the octane number of products has received more attention in refineries. In this regards, researchers have been looking for ways of increasing the content of high-octane number products such as aromatics. The present research proposes an alternative configuration for conventional moving bed naphtha reactor. In this new configuration, the membrane concept is applied in the moving bed reactors to increase the aromatics and hydrogen yields. The most studies on the simulation of CCR naphtha reactors focused on one dimensional mathematical model, while in this work, a two dimensional mathematical model (in the radial and axial directions) is considered. In the process model, a new reaction network based on 32 pseudo-components and 84 reactions, as well as a new deactivation model including the most effective parameters are considered. To verify the efficiency of the conventional configuration model, its results are compared with the industrial
* Corresponding author. Tel.: +98 711 2303071; fax: +98 711 6287294. E-mail address:
[email protected];
[email protected] (M.R. Rahimpour)
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data. Results demonstrate that the application of membrane can increase about 54 and 220 kmol/h in aromatics and hydrogen production rates, respectively. Keywords: Naphtha reforming; Reaction network; Membrane reactor; Catalyst deactivation model.
1. Introduction 1.1. Naphtha Reforming The catalytic reformer plays a very important role in the refineries. It provides high valueadded reformate for gasoline pool; hydrogen for improving feedstock by the hydrogenconsuming hydrotreatment processes; and valuable aromatics such as benzene, toluene, and xylenes for petrochemical uses.1 The main aim of catalytic naphtha reforming is to change naphthenes and paraffins to aromatics, which have high-octane numbers and can increase the gasoline octane number.2 In order to improve the performance of this process, a large number of studies have been done. Many researchers have been focused on the kinetics of catalytic naphtha reforming. Since a large number of reactions consisting of hundreds of various components occur in reformers, unfortunately developing a detailed kinetic-based model, which considered all components and reactions, is not easily possible. By this reason, researchers have been tried to model naphtha reactions by considering kinetic lumps taking part in the naphtha reforming reactions.3 Smith4 as a pioneer of the researchers presented a model containing paraffins, naphthenes, and aromatics and four main reactions. More detailed kinetic models to describe the reforming process have been reported by Krane et al.,5 Kmak,6 Ramage et al.,7 Jenkins et al.,8 Wolff et al.9 and in the past decade, by Juarez et al.10 and Sotelo-Boyas and Froment.11 The researchers developed different kinetic models of varying number of lump components. For 2 ACS Paragon Plus Environment
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instance, Hu et al. proposed a simple model of catalytic reforming with 17 lumps involving 17 reactions.12 Hu and Zhu used a model involving 21 classes of molecules and 51 reactions.13 Hongjun et al. developed a lumped kinetic model with 27 lumps in order to predict aromatic compositions in more detail.14 Recently, catalysts and catalyst deactivation of reforming process have received more attention. In this regards, studies have been performed by Otal et al.,15 Gonzalez-Marcos et al.,16 Pieck et al.,17 Ren et al.,18 Carvalho et al.,19 Borgna et al.,20 Viswanadham et al.,21 and Martin et al.22 to improve the performance of catalysts and process. Other attempts on the naphtha reforming process have been done on the modeling and improving of hydrogen and aromatic yields. Taskar et al.23 modeled and optimized a semi-regenerative catalytic naphtha reformer involving most of its key constitutes. Juarez et al.24 presented a modeling and simulation of naphtha reforming process. They used an extended version of the kinetic model reported by Krane et al. The other appropriate studies in this field have been performed by Li et al.25 and Hou et al.26
1.2. Process Classification Generally, the naphtha reforming process based on mode of catalysts regeneration is classified into the semi-regenerative, cyclic, and continuous catalytic regenerative processes. The semi-regenerative systems typically use three to four beds in series and operate continuously over long periods (typically up to one year). As the deposited coke on the catalysts increases, the reformers are shut down to regenerate catalysts. The research octane numbers in the semiregenerative process is in the range of 85-100.
2
The detailed explanation can be found in the
previous publication.27 The cyclic systems typically use five or six fixed catalyst beds with a swing reactor. Each reactor in series of reactors can be taken out of operation for regeneration
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without shutting down the unit. The research octane numbers of this process is around 100. 28 The most modern type of the catalytic reformers is CCR, which represents a step change in reforming technology compared to the semi-regenerative and cyclic processes. In this unit, the catalyst regenerates continuously in a special regenerator and then is sent to the operating reactors. In this process, higher aromatic content, high hydrogen purity and catalyst activity can be observed. CCR units operate at ultra-low pressure, and their design research octane number is in the range of 95-108.
2, 28
Although, most grassroots reformers are designed for CCR, a few
published works regarding modeling of naphtha reforming process have been done on CCR. 3, 14, 28-31
1.3. Membrane Reactor By removing reactants from product gases, the equilibrium compositions can shift toward the product side. One idea for performing this works is membrane application. Membrane concept is a well-known technology for separation. Separation via membrane is less energy intensive and requires no phase change in the process.32 The Pd-Ag membrane layer with silver content of 2325% is extensively utilized for hydrogen purification.
33, 34
A number of factors, including low
costs, perm selectivity, good mechanical/ thermal, and long-term stability are the reasons of successful development of this type of membrane.35 In the naphtha process, employing this membrane can shift the dehydrogenation reactions toward the aromatic production via extracting hydrogen. Today, as many as 100 membrane plants have been used in the refineries, but still large opportunities to utilize membrane technology in refineries exist.36 Recently, Rahimpour et al. used Pd-Ag membrane to extract hydrogen from the naphtha reaction regions for enhancement of the octane number of products in the semi-regenerative process.37 4 ACS Paragon Plus Environment
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1.4. Hydrogen Hydrogen has received special attention as an ideal energy carrier because of its fascinating properties, such as being highly efficient and free from pollution.38 Moreover, hydrogen is a critical feedstock and raw material in petroleum and petrochemical units. Refineries require a large quantity of hydrogen to remove sulfur and nitrogen components and to produce lighter fuels. As the crude oil becomes heavier, more sulfur and nitrogen must be removed and more hydrotreating and hydrocracking processes are needed. Therefore, hydrogen is considered as a critical issue to the world’s refineries.39 In this regards, some attempts have been made to manage the hydrogen uses.40, 41 An alternative way is the membrane utilization that can improve the refiner’s efficiency via producing more hydrogen.
1.5. Objective The main goal of this study is to investigate the performance of membrane incorporation in the continuous catalytic regenerative reformers and to evaluate the product contents especially aromatics and hydrogen by comparison with the conventional values. In this work, a twodimensional mathematical model has been performed to predict the trend of parameters along both radial and axial directions. The process model is accompanied with a new reaction network containing 32 pseudo-components with 84 reactions and a new deactivation model including both metallic and acidic functions. Additionally, a comparison between the membrane reactor (MR) and conventional reactor (CR) is proposed to show the superiority of this novel configuration.
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2. Process Description 2.1. Conventional System A simple schematic diagram of CCR process is presented in Figure 1. Conventional processes typically use a series of four individual radial-flow reactors and a regeneration system. The regenerated catalysts enter the top of first reactor and transport through the reactor by gravity flow while it is coked continuously. The catalysts move from the bottom of one reactor to the top of next one and eventually exit from the last reactor, regenerated in the regenerator, and then transported back to the first reactor. As shown in Figure 2, while the catalysts move axially inside the reactor, the feed enters the catalyst bed radially. The naphtha feed, after mixing with hydrogen recycle gas stream due to regulation of the inlet ratio of H2/HC, enters the top of first reactor. It proceeds downward near the shell of reactor and then goes through the catalyst bed in the radial direction. After passing through the catalyst bed, the obtained stream enters an axial collector and then goes to the next reactor. This procedure continuous for the other reactors and eventually, the obtained stream of fourth reactor is sent to a separator in which hydrogen-rich gas is separated from hydrocarbons. After separation, the obtained liquid is sent to a stabilizer where the off gas is removed from the final reformate. In this process, a highly stable and selective catalyst for continuous regeneration is used. This catalyst is in spherical shape to facilitate the catalyst circulation. Gas-lift method is used for catalyst circulation between the reactors and the regenerator. Table 1 shows the specific properties and operating conditions for the conventional configuration.
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2.2. Membrane Configuration As extracting hydrogen can shift the naphtha reactions to produce more aromatics, membrane layer is applied to the reactors to perform this work. It can be seen in the MR schematic diagram (Figure 3) that the cross section area is divided into some subsections. Each subsection consists of two parts. One is for the naphtha reforming reaction, and the other is for the sweep gas. These parts are separated by a wall which is coated by Pd-Ag membrane layer. The permeated hydrogen is carried by the sweep gas which flows radially through the permeation part. The number of subsections is chosen by considering the inverse relation between the number of subsections and H2/HC molar ratio. By increasing the number of subsections, the area of the membrane layer increases and more hydrogen is permeated and as a consequence, a decrease in the H2/HC molar ratio appears. The H2/HC molar ratio should not be lower than 2.193 (the inlet H2/HC ratio of the first reactor) to avoid a rapid coking. To reach this goal, the number of subsection is adjusted at 47, 30, 24, and 13 for the first reactor to the fourth one, respectively. In the naphtha reforming, as the feedstock passes through the reactors, the rate of hydrogen production declines; thus, the required subsection decreases from reactor to reactor. In this configuration like the conventional one, catalysts moves axially and the feed goes through the catalyst bed in the radial direction. Table 1 shows the specific properties and operating conditions for the new configuration. Figure 1 Figure 2 Figure 3 Table 1 7 ACS Paragon Plus Environment
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3. Reaction Scheme and Kinetic Expressions In the reformers, a large number of reactions involving several hundred components take part. As a detailed kinetic-based model considering all components and reactions is infeasible, attempts have been made to reduce the complexity of reactions by considering kinetic lumps taking part in reforming reactions.3 An effective kinetic model must represent all major reactions in the reforming process. Among the presented kinetic models, one of the appropriate models is that reported by padmavathi et al.42 The present kinetic model is an extension of padmathavi’s model. Figure 4 shows the proposed reaction scheme. As it can be seen, all major reactions are considered in the model. The 8-carbon aromatics are subdivided into ethyl benzene, para-xylene, ortho-xylene, and metha-xylene which undergo the isomerization reactions, as well as transalkylation reactions. The reactions which added to the padmavathi’s kinetic model are marked in the reaction tables. The reactions have been categorized in dehydrogenation, dehydrocyclization, isomerization, transalkylation, hydrocracking, and hydrodealkylation, and their rates and constants are tabulated in Tables 2-7, respectively. Dehydrogenation reaction is one of the major reforming reactions which, due to its high reaction rate, occur mostly in the first reactor to transport naphthenes to aromatics. It is very fast and highly endothermic reaction and causes a sharp temperature decrease in the first reactor. It is promoted by the metallic function of catalysts and is favored at high temperature and low pressure. The next type of reactions is dehydrocyclization that introduced as the most critical reaction in the reforming process. Like dehydrogenation, dehydrocyclization is favored at high temperature and low pressure. Although, the rate of dehydrocyclization is comparatively slow, the conversion of paraffins to aromatics causes a noticeable increase in aromatic contents. Dehydrocyclization reaction is promoted by the metallic and acidic sites of catalyst. 8 ACS Paragon Plus Environment
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The isomerization of paraffins, naphthenes, and aromatics have been considered in the present model. Isomerization reactions are moderately rapid and catalyzed by acid sites. The isomerization of n-paraffins to i-paraffins is highly desirable reaction because the product of this reaction (iso-paraffins) has a high octane number. The isomerization of alkylcyclopentane to alkylcyclohexane is similar to paraffins isomerization and, due to dehydrogenation of ACH to aromatics, is considered as a desirable reaction. For the 8-carbon aromatics, the isomerization reactions between PX, MX, and OX occur rapidly, while isomerization between EB and xylene isomers occurs slowly. The other reaction between aromatics (transalkylation) is a reaction in which one of the alkyl groups is transferred from one alkyl aromatic molecule to another aromatic. The last two type of the naphtha reactions (hydrocracking and hydrodealkylation reactions) are much slower reactions producing less valuable products than the other reactions. These reactions are exothermic, and their rates increase with increasing the carbon number. The cracking of both naphthene and paraffin, as well as hydrodealkylation reactions are irreversible. It should be mentioned that an optimization procedure is utilized to find the unknown constants of reaction rates. These constants are determined via simultaneous minimization of the outlet temperature, molar flow rate, and coke concentration differences between the modeling results and plant data.
Figure 4 Table 2-7
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4. Catalyst Deactivation Model In the reforming process, carbonaceous material or coke is deposited on the catalyst and blocks the active sites. It reduces the yield and selectivity of catalyst as the reaction proceeds. Since the coke amount is closely related to the deactivation rate, controlling coke deposition is equal to controlling catalyst deactivation.1 The coke formation rate should be considered into the mathematical model to predict the behavior of the reactions subject to catalyst deactivation.42 Since the catalyst of naphtha reforming process is a bifunctional catalyst containing metallic and acidic functions, in the present model, the deactivation of both metallic and acidic functions are considered. Commonly, the acidic and metallic functions are provided in the industry by chloride alumina and platinum, respectively. In order to improve the catalyst activity, stability, and selectivity, various metals such as Re, Ir, Rh, Ge, In, and Sn have been added to the metallic function. Table 8 shows the catalyst functions on the main reactions in the proposed kinetic model. The rate of coke formation generally depends on operating conditions such as pressure, temperature, and hydrogen over hydrocarbon molar ratio. In addition, alkylcyclopentane concentration is considered in some works as a factor affecting coke formation rate.43-45 The order of concentration of alkylcyclopentane in the coke formation rate when the catalysts are fresh is considered to be 0.5.45 In this study, a new deactivation model is developed in which the aforementioned affecting parameters are taken into account as follows: Ec ) RT × C 0.5 rCo ∝ A CP H P n1 ( 2 ) n 2 HC exp( −
(17)
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Where rCo is the rate of coke formation when the catalysts are fresh, E c is coke formation activation energy, C ACP is alkyl-cyclopentane concentration, and P is the pressure of reaction side. The proposed model for catalyst deactivation rate calculation based on catalyst function can be observed in Table 9. More explanations regarding the derivation of the deactivation model is provided in the Appendix A. It should be mentioned that by considering the commercial data from conventional configuration, the coke weight fraction in the output of the fourth reactor approaches to 0.05. In the membrane reactors, by hydrogen extraction the coke weight fraction becomes higher than the conventional value. Since by increasing the circulation rate the percent of coke on the catalyst can be decrease, the output coke weight fraction of fourth membrane reactor is adjusted at 0.05 by the help of catalyst axial velocity (the axial velocity of catalysts is increased to 0.1367 mm/s).
Table 8 Table 9
5. Mathematical Modeling In this study, attempts have been made to develop an accurate mathematical model for radialflow moving bed membrane reactor. A two–dimensional model has been taken into consideration in order to determine the concentration and temperature distributions inside the reactors. The assumptions made during the modeling of catalytic reactors are as follows: 1. The reactors operate in steady-state condition. 11 ACS Paragon Plus Environment
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2. Cross flow pattern (catalyst moves axially downward, and the gas stream moves radially) is considered in the reactors. 3. Diffusion of mass and heat in both radial and axial directions of reactor is neglected. 4. Homogeneous catalyst moving bed is considered. 5. The gas mixtures are assumed to be ideal. 6. Heat loss is negligible. 7. Peripheral gradient (gradient along the perimeter) is neglected. 8. Intra-pellet heat and mass diffusion in catalyst pellet are ignored. 9. Effect of membrane support is neglected. 10. Membrane is just permeable for hydrogen. 11. The Sievert’s law is applicable. To obtain the energy and mole balance equations, a differential element as shown in Figure 5, has been considered. The corresponding mass and energy balance equations, pressure drop, hydrogen permeation rate, and the velocity distribution are listed in Table 10. The derivations of mass and energy balances equations and velocity distribution are provided in the Appendix B. Figure 5 Table 10
6. Numerical Solution The proposed model leads to a partial differential equations system. To solve this system, the mass and energy balance for both sweep gas and reaction sides should be coupled with the
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auxiliary relations. As the finite difference is one of the most commonly used methods in the simulation of membrane reactors due to its accuracy and easiness of implementation,46,47 in the present work, the forward finite difference is employed with explicit formula to solve the set of coupled equations. In order to solve the obtained equations by this method, at first a grid of nodes should be introduced in each reactor, then the derivatives in the equations are replaced by numerical differentiation formula. The obtained algebraic equations are solved and finally, the computer code is applied. It should be mentioned that in the explicit method, solution of each node becomes the boundary condition for the following one.
7. Model Validation In order to verify the efficiency of model, the predicted model results for the conventional reactors are compared with the commercial data from Nouri Petrochemical Company. Table 11 shows a comparison between the plant data and the predicted molar flow rate of components in the system output. Model results show a good agreement with the plant data. Choosing the kinetics and models for the system that underestimate true reaction rate and application of some simplifying assumptions in the mathematical modeling of process are the reasons of this minor deviation. Table 11
8. Results and Discussions In this section, the variation of component molar flow rates, operating conditions, physical properties along the radial and axial directions of moving bed reactors are investigated. In the 2D 13 ACS Paragon Plus Environment
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plots, the variation of parameters along one of the radial or axial directions is shown by considering an average value of the parameters along the other direction. For some parameters, their variations along the axial and radial directions are shown simultaneously by the help of 3D plot. At first, the temperature profile is investigated. Figure 6 shows the temperature profiles of the conventional and membrane reactors, simultaneously. In the first reactor of both configurations, temperature decreases sharply owing to presence of a fast endothermic reaction (dehydrogenation of naphthenes to aromatics). In the membrane reactor, higher temperature drop is seen because hydrogen extraction shifts the dehydrogenation reaction toward the product side. Therefore, more heat is consumed and higher temperature drop appears. The outlet stream of the reactor is heated by the furnace; thus, a sudden jump in the plot is observed. Compared with the first reactors of CR and MR configurations, a lower temperature reduction is seen in the second reactors where the remaining naphthenes are converted to the aromatics. Due to hydrogen extraction, the higher temperature drop in the membrane reactor is logical. In the last two reactors, dehydrocyclization of paraffins to naphthenes and dehydrogenation of naphthenes to aromatics, which are endothermic, cause a temperature reduction but this temperature reduction is moderated because of increasing the degree of hydrocracking of paraffins and naphthenes, and hydrodealkylation (exothermic reactions). In the last two membrane reactors, by hydrogen removal the dehydrogenation and dehydrocyclization are shifted toward consumption of more heat. On the other hand, by decreasing the hydrogen content, the reactant of hydrocraking and hydrodealkylation reactions decreases and less heat is generated; therefore, the temperature drop is less moderated. Figure 6
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One of the main goals of the newer design of reforming units is the increase of aromatics yield because the octane number (RON) of aromatic components (except for benzene) is always above 100.1 Figure 7 shows the aromatics molar flow rate vs. the radius of the reactors. As the feedstock passes through the radius of reactors, the reactions proceed and the aromatics content increases. In the first two reactors, the rate of aromatics production is higher than the last two ones owing to the dehydrogenation of naphthenes to aromatics reactions (the predominate reaction in the first two reactors). When the hydrogen is extracted by the membrane, the thermodynamic equilibrium shifts toward the product of naphthenes dehydrogenation reaction (aromatics); therefore, more aromatics can be obtained in comparison with the conventional system. Figure 7 Another significant limitation for the newer design of reforming units is hydrogen yield improvement. Figure 8 shows the hydrogen molar flow rate in both reaction and sweep gas sides for the membrane reactors. As well, this figure shows a comparison between the total hydrogen production in MR and CR. In MR, due to hydrogen extraction, the naphthene dehydrogenation and paraffin dehydrocylization reactions shift towards the product side and consequently, more hydrogen can be achieved. Thus, as seen in the plot, total amount of produced hydrogen (the summation of hydrogen in the sweep gas and reaction sides) in MR is about 220 kmol/hr more than CR. The hydrogen permeation in the sweep section decreases from the first reactor to the fourth one owing to decreasing the partial pressure of hydrogen in the reaction side. In the initial reactors, due to high rate of hydrogen producer reactions such as dehydrogenation and dehydrocyclization, high quantity of hydrogen is produced but decreasing the rate of these
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reactions, as well as increasing the degree of hydrogen consumer reactions such as hydrocracking and hydrodealkylation leads to a decrease in the production of hydrogen. Figure 8
The naphthenes, paraffins, and light ends molar flow rates are illustrated in Figure 9a-c. Naphthenes and paraffins constitute the major part of naphtha (typical straight-run naphtha is made up of 40-70 wt% paraffins and 20-50% naphthenes). Due to the dehydrogenation of naphthenes to aromatics and dehydrocylization of paraffins to aromatics, naphthenes and paraffins have a great importance in the reforming process. A comparison between the contents of naphthenes in MR and CR is depicted in Figure 9a. Since the naphthenes are significantly consumed in the first two reactors due to dehydrogenation reaction, the plot shows a sharply decreasing trend. Result shows that consumption of naphthenes in MR is more than CR. As previously mentioned, removing hydrogen shifts the dehydrogenation of naphthene towards the production side, for this reason more naphthene is consumed in MR. The flow rate of paraffins can be observed in the Figure 9b. As can be seen, the paraffens molar flow rate, due to dehydrocyclization and hydrocracking reactions, declines continuously along the radius of reactors. In MR, more paraffins are consumed. Because when hydrogen is extracted, dehydrocyclization of paraffins shifts toward consumption of more paraffins. The light ends molar flow rate is plotted in Figure 9c. The light end gases contain the light byproduct which is mainly produced by the hydrocracking reactions. As can be seen in the plot, the rate of light ends production in MR is lower than CR. This result is logical because hydrogen extraction leads to a decrease in hydrocraking progress and less light ends are produced.
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Figure 9a-c The physical properties (molecular weight and heat capacity) along the radius of reactors are depicted in Figure 10. A comparison between the mean molecular weight of components along the radius of the membrane and conventional reactors is depicted in Figure 10a. As can be seen, the CR plot shows a decreasing trend owing to producing light components such as hydrogen and light ends, as well as cracking of heavy components to the lighter ones. In each reactor of MR configuration, at first due to production of light components, the mean molecular weight decreases but hydrogen extraction decreases the percent of light components extremely and the mean molecular weight increases. As MR produces less light ends and removes the hydrogen from the reaction side, the components in its reaction side have a higher molecular weight. Figure 10b shows the heat capacity of the components in MR and CR. The temperature has a direct effect on heat capacity. Since the temperature decreases along the radius of each reactor of CR, a decreasing trend of heat capacity is observed. A sudden jump at the entrance of last three reactors is due to preheating the outlet stream of previous reactor. Unlike CR, that its plot in each reactor just decreases, the MR plot has an increasing trend after its decrease. At first, temperature drop leads to a decrease in the heat capacity. Then, by hydrogen (a component with a low value of heat capacity) extraction, the percent of components with higher value of heat capacity increases and as a consequence, the amount of heat capacity enhances. Figure 10a-b H2/HC molar ratio vs. the axial and radial coordinates of both CR and MR is depicted in Figure 11. H2/HC is a controlling parameter in the naphtha reforming process. This ratio should not be lower than 2.193 (the inlet amount of the first reactor). This work has been performed by
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regulating the number of subsections. The low ratio of H2/HC produces more coke deposition on the surface of catalyst. The 3D plot shows that the H2/HC ratio increases along the radius of the conventional reactor. Since H2 is one of the reaction products in the reforming process that has a great production rate, its amount and H2/HC ratio increase by reaction proceeding. In the membrane reactors, at first hydrogen production leads to an increase in H2/HC molar ratio, but afterwards because of hydrogen extraction, this ratio decreases. Figure 11 Figure 12a shows the coke weight fraction along the length and radius of the membrane reactor for both acidic and metallic functions. Catalyst deactivation, which is generated by coke deposition, generally increases by an increase in the temperature. Along the length of the reactor, coke deposition increases because when the catalyst pellets moves axially, they are coked continuously owing to reactions progress. Unlike the axial direction, along the radius of the reactors the amount of coke on the catalysts declines. The temperature and ACP concentration are the most effective parameters that affect the rate of coke deposition. The temperature and the ACP concentration, as shown in Figure 6 and 12b, respectively, decline along the radius of reactors and cause a decrease in the rate of coke deposition. The ACP concentration decreases along the radius of reactors because ACP is consumed as the naphtha reactions progress. As previously mentioned, the outlet catalysts of one reactor are introduced to the next reactor as an inlet catalysts, but as shown in Figure 12a, the amounts of coke deposition are different in the outlet and inlet streams. This difference is due to the fact that the catalyst pellets is transported by gas lift. At the end of reactors, the catalyst pellets have different coke content depending on their distance from the collector. When these pellets with different coke deposition are mixed together, the use of an average amount of coke weight fraction in the inlet of the next reactor is 18 ACS Paragon Plus Environment
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reasonable. Figure 12c shows an inverse trend for activity of the catalysts. Because by increasing the coke deposition a decrease in the activity of catalysts appears. Figure 12a-c By considering the commercial data, the coke weight fraction in the output of the fourth reactor approaches to 0.05. Figure 13 shows the mean weight fraction of deposited coke along the radius of reactor vs. axial velocity. As shown in the figure, the axial velocity of catalysts becomes 0.1367 (mm/s) to reduce the weight fraction of deposited coke to the conventional value (0.05) in the exit of fourth reactor. Figure 13 A comparison between CR and MR coke weight fractions vs. the axial direction is made in Figure 14a. The lower H2/HC ratio of MR compared with CR, leads to higher coke deposition, while the lower temperature and ACP concentration, as well as the higher catalyst axial velocity result in lower coke deposition in MR. Since the temperature, ACP concentration, and the catalyst axial velocity have a greater effect on coke weight fractions in comparison with H2/HC ratio, less coke weight fraction can be seen in the membrane reactor compared to the conventional one. An inverse trend for the activity of catalysts is seen in Figure 14b. Since the coke content in MR is lower than conventional reactor, it has a higher catalyst activity. Figure 14a-b
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9. Conclusion In this work, a new configuration is recommended for CCR moving bed reactors. The Pd-Ag membrane layer is utilized in the moving bed reactors to boost the hydrogen and aromatics contents. The design of reactors in the membrane configuration is such that the cross-sectional area of each reactor is divided into some subsections and a radial sweep gas stream is applied to collect the hydrogen which is permeated via the membrane layers. A two dimensional model accompanied with a new reaction network and a new deactivation model is used for simulation of the CCR moving bed reactors. In the membrane configuration the separated hydrogen can be used in the other units without requiring excess investments to separate hydrogen from other streams. The operating temperature in the membrane reactor decreases owing to the increase in the yield of endothermic reactions. By membrane application the coke deposition increases but by increasing the catalyst axial velocity, the coke content in the exit of fourth reactor becomes as the same of conventional value. The results show that the membrane configuration improves the hydrogen and aromatics production noticeably. As improving the hydrogen and aromatics contents are both considered as the limitations for the newer design of reforming units, the proposed membrane configuration could be beneficial for the CCR process.
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Appendix A:
Developing of catalyst deactivation model Reaction rate of pseudo-component i based on activity of catalyst and reaction rate on the fresh catalyst can be presented as follows: ri = ai × ri o
(A.1)
where ( a i ) is define as: Reaction Reaction Reaction Reaction
occurs on acidic function
ai = a A
occurs on metallic function occurs on acidic or metallic function
ai = aM ai = mean(a A , aM )
occurs on acidic as well as metallic functions ai = mean(a A , aM )
Thus, the reaction rate that is catalyzed by metallic function could be written as: ri = aM × rio
(A.2)
Metallic function activity is a function of weight fraction of deposited coke on metallic function of the catalyst. Thus a M is defined as follows:
−
daM = α M × aMnM dCCM
(A.3)
where α M is a constant and n M is a power number of metallic function activity. α M and n M is determined via minimization of the difference between the plant data and modeling output. Then with integration of recent equation, we have: 21 ACS Paragon Plus Environment
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If nM = 1 If n ≠ 1 M
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aM = exp( −α M × CCM )
(A.4)
1
aM =
(1 + ( nM − 1)α M × CCM )
(
1 ) nM −1
In order to calculate CCM the mass balance for coke on metallic function should be written along the length direction. In order to achieve this end, following trend is applied: Coke balance on the metallic function along the z direction is considered as:
FC M |z − FC M |z +dz + rC M × ( ρb × 2 × π × r × ∆r × dz ) = 0
(A.5)
By considering the Taylor’s extension, the above equation becomes: ∂ FC M ∂z
(A.6)
= rC M × ( ρ b × 2 × π × r × ∆ r )
where FC M and rC M , are the mass flow rate of coke and the rate of coke formation on the metallic function of catalyst. In addition, FC M can be defined as: .
FC M = C C M × m
C at .
(A.7)
Mass flow rate of catalyst is defined by:
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.
(A.8)
m C at . = ρ b × 2 × π × r × ∆ r × u z
By substituting the above equation in Eq. A7:
FC M = C C M × ( ρb × 2 × π × r × ∆r × u z )
(A.9)
Then, the Eq. A9 is replaced in the Eq. A6:
u
∂C z
C
(A.10)
= rC M
M
∂z
By rearranging above equation, we have:
∂C
C
M
∂z
=
rC M u
(A.11)
z
Thus, the coke weight fraction on the metallic function ( C C M ) depends on the rate of coke formation on the metallic function of spent catalyst ( rC M ) and catalyst velocity ( u z ). rCM is defined as:
rCM = aCM × rCoM
(A.12)
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o Where rCM is rate of coke formation on metallic function of fresh catalyst which is defined by:
rCoM =
Ec ) RT × C 0.5 ACP H P n1 ( 2 ) n2 HC
k C M × exp(−
(A.13)
In addition, aC M could be calculated by:
−
daCM dCCM
= α CM × aCCMM n
(A.14)
nC M and αC M , like unknown constants in Eq. A3,
is determined via minimization of the
difference between the plant data and modeling output. With integration from Eq. A14, we have: If nCM = 1 If n ≠ 1 CM
aCM = exp( −α CM × CCM )
aCM =
(A.15)
1 (1 + ( nCM − 1)α CM × CCM )
(
1 ) nCM −1
By substituting Eq. A15 and A.13 in Eq. A12 the rate of coke formation on the metallic function is calculated. Then by substituting the coke formation rate in Eq. A11, coke weight fraction on the metallic function ( C C M ) could be calculated. With same procedure, reaction rates that are catalyzed by acidic site could be achieved. The results are shown in Table 10. In addition, required constants to calculate catalyst deactivation rate and activity are presented in Table A.1.
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Table A.1
Appendix B:
Developing of governing equations Here the derivations of mass and energy balances, velocity distribution, and coke formation are presented. Mass balance in the reaction side
By considering Sivert’s law, the permeated hydrogen molar flux is defined as:
J H2 =
Q0 exp(−
δH
EH 2
) RT (| P − P Sweep |) H2 H2
(B.1)
2
The mass balance for a control volume with length of dz and cross section area of below formula is:
Cross section area :
2πr × ∆r × Rθ NOS
Input - Output +Consumption+ Permeation Through The Membrane = Accumulation
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m
( N j × Ar ) |r −( N j × Ar ) |r +dr + ρb ∑ ai × vij ri × Ar × dr i =1
0 j ≠ H2 ∂n j j = 1, 2,..., n −2 × Ap × J H2 j = H 2 , PH2 ≥ PHs2 = ∂t i = 1, 2,..., m s J j H P P − = , > 2 H2 H2 H2
(B.3)
In the mentioned equation, j and i refer to the number of component and reaction, respectively. Also n j is the mole of component j in the control volume. The Pd-Ag membrane is permeable just for hydrogen, and insulated for other component. By writing the Taylor’s extension of second term in the left hand of equation, the mass balance becomes:
−
∂ ( N j × Ar ) ∂r
0 j ≠ H2 ∂n j .dr + ρb ∑ ai × vij ri × Ar × dr − 2 × Ap × J H 2 j = H 2 , PH 2 ≥ PHs 2 = ∂t i =1 s J j H P P − = , > H H H 2 2 2 2 m
(B.4)
Now the mass balance equation is divided by the Ar×dr.
0 j ≠ H2 m 2 × Ap 1 ∂( N j × Ar ) 1 ∂n j − + ρb ∑ ai × vij ri − × J H 2 j = H 2 , PH2 ≥ PHs2 = Ar ∂r Ar × dr Ar × dr ∂t i =1 s − J j = H , P > P 2 H2 H2 H2
(B.5)
Concentration of component j in control volume is equal to the mole of component j in volume of fluid. The volume of fluid is ε times of the volume of control volume element:
Cj =
nj
(B.6)
( Ar × dr × ε )
or
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n j = C j × ( Ar × dr × ε )
(B.7)
Cross section area is obtained as follows:
Ar =
2π r × dz θ × 1 θ1 + θ2 NOS
(B.8)
and (B.9)
θ1 Rθ = θ1 + θ2 Subtitling the equation B.9 into B.8, the cross section area is define as:
(B.10)
2π r × dz Ar = × Rθ NOS
The available side area for permeation is as follows:
Ap = dr × dz
(B.11)
Applying the above equations, the mass balance equation can obtain as:
0 j ≠ H2 m ∂C j 1 ∂( N j × Ar ) NOS − + ρb ∑ ai × vij ri − × J H 2 j = H 2 , PH 2 ≥ PHs2 = ε Ar ∂r ∂t π r × Rθ i =1 s − = > J j H , P P 2 H2 H2 H2
(B.12)
which N j is molar flux of component j . The molar flux comprises two terms, ones due to the bulk motion and the other one for diffusion of component j is as follows:
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N j = − Dej
∂C j ∂r
+ C j ur
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(B.13)
The above equation can be rewritten as:
N j Ar = − Ar Dej
∂C j ∂r
+ Ar C j ur
(B.14)
Substitution in governing mass balance equation gives:
Dej
m ∂C j 1 ∂ 1 ∂ ( Ar )− ( Ar ur C j ) + ρb ∑ ai ×ν ij ri Ar ∂r ∂r Ar ∂r i =1
0 j ≠ H2 ∂C j j = 1, 2,..., n NOS − × J H 2 j = H 2 , PH 2 ≥ PHs 2 = ε ∂t i = 1, 2,..., m π r × Rθ s − = > J j H , P P 2 H2 H2 H2
(B.15)
As the CCR process is steady state, and diffusion in comparison to bulk motion is negligible, the first term in the above equation is removed. Then we have:
−
m 1 ∂ ( Ar ur C j ) + ρb ∑ ai ×ν ij ri Ar ∂r i =1
0 j ≠ H2 j = 1, 2,..., n NOS − × J H 2 j = H 2 , PH 2 ≥ PHs 2 = 0 i = 1, 2,..., m π r × Rθ s − J j = H , P > P 2 H2 H2 H2
(B.16)
The first term can be written as:
−
ur C j ∂Ar ∂C j 1 ∂ ∂u ( Ar ur C j ) = − − ur −Cj r Ar ∂r Ar ∂r ∂r ∂r ∂C j
∂u =− − ur −Cj r r ∂r ∂r ur C j
By substitution of the new style of first term, 28 ACS Paragon Plus Environment
(B.17)
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−
ur C j r
− ur
∂C j ∂r
−Cj
m ∂ur + ρb ∑ ai ×ν ij ri ∂r i =1
0 j ≠ H2 j = 1, 2,..., n NOS − × J H 2 j = H 2 , PH 2 ≥ PHs 2 = 0 i = 1, 2,..., m π r × Rθ s − J j = H , P > P H2 H2 2 H2
(B.18)
And finally the mass balance becomes as follows:
∂C j ∂r
=−
Cj r
−
C j ∂ur ρb + ur ∂r ur
m
∑ a ×ν i
r
ij i
i =1
0 j ≠ H2 j = 1, 2,..., n NOS − × J H 2 j = H 2 , PH 2 ≥ PHs 2 i = 1, 2,..., m π r × Rθ × ur s − = > J j H , P P 2 H2 H2 H2
(B.19)
Energy balance in the reaction side By considering the reaction side as the system and in the absence of shaft work the energy balance is:
− Keff Ar
∂T ∂T + Keff Ar ∂r r ∂r
n
r + dr
n
+ ∑ N j Ar H j − ∑ N j Ar H j j =1
r
j =1
+ 2 × Ap ×U × (T s − T ) r + dr
n
J H × HH2 −2 × Ap × 2 s − J H2 × HH2
PH2 ≥ PHs2 PHs2 > PH2
=
∂(∑ n jU j )
(B.20)
j =1
∂t
By considering the Taylor’s extension and dividing the energy balance by Ar×dr, we have:
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n
∂ (∑ N j Ar H j )
1 ∂ ∂T 1 ( K eff Ar )− Ar ∂r ∂r Ar −
j =1
∂r
J H × H H 2 × 2 Ar × dr − J H 2 × H sH 2
PH 2 ≥ P
s H2
2 × Ap
PHs 2 > PH 2
=
+
2 × Ap Ar × dr
× U × (T s − T ) (B.21)
n n ∂U j ∂n j 1 1 + nj Uj ∑ ∑ Ar × dr j =1 ∂t Ar × dr j =1 ∂t
Substituting B.10 and B.11 in the above equation, the energy balance becomes:
1 ∂ ∂T 1 ( K eff Ar )− Ar ∂r ∂r Ar
∑Hj
NOS J H 2 × H H2 − × π r × Rθ − J H 2 × H Hs 2
The term (
∂ ( N j Ar ) ∂r
n
j =1
∂ ( N j Ar ) ∂r
PH 2 ≥ PHs 2 PHs 2 > PH 2
n
−∑Nj j =1 n
= ε ∑Cj j =1
∂H j ∂r ∂U j ∂t
+
NOS × U × (T s − T ) π r × Rθ n
+ ε ∑U j j =1
∂C j
(B.22)
∂t
) is not known and is replaced from eq. B. 12:
0 j ≠ H2 n m ∂C j 1 ∂ NOS ∂T ( K eff Ar ) + ∑ H j ( − ρb ∑ ai × vij ri + ) × J H 2 j = H 2 , PH 2 ≥ PHs2 + ε Ar ∂r ∂r ∂ t π r × Rθ j =1 i =1 s − J H 2 j = H 2 , PH 2 > PH 2 n ∂H j NOS (B.23) −∑ N j + × U × (T s − T ) ∂r π r × Rθ j =1 NOS J H 2 × H H2 − × π r × Rθ − J H 2 × H Hs 2
PH 2 ≥ PHs 2 PHs 2 > PH 2
n
= ε ∑Cj j =1
∂U j ∂t
n
+ ε ∑U j j =1
∂C j ∂t
hence:
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0 j ≠ H2 n m n ∂T 1 ∂ NOS ( Keff Ar ) − ∑ H j ( ρb ∑ ai × vij ri ) + ∑ ( H j × × J H 2 j = H 2 , PH2 ≥ PHs2 ) + π Ar ∂r ∂r r × R j =1 i =1 j =1 θ s − J H2 j = H 2 , PH 2 > PH2 n ∂C j n ∂H j NOS ε × −∑Nj + ×U × (T s − T ) H ∑ j π ∂ ∂ × t r r R j =1 j =1 θ NOS J H 2 × HH2 − × π r × Rθ − J H2 × HHs 2
PH 2 ≥ PHs2 P > PH2 s H2
n
= ε ∑Cj j =1
∂U j ∂t
n
+ ε ∑U j j =1
(B.24)
∂C j ∂t
The third term in the above equation can be reduced to:
0 j ≠ H2 NOS Hj( × J H 2 j = H 2 , PH 2 ≥ PHs 2 ) ∑ π r × Rθ j =1 s − J H 2 j = H 2 , PH 2 > PH 2 n
=
NOS π r × Rθ
=
NOS π r × Rθ
0 × H j ≠ H2 j × ∑ ( J H 2 × H H 2 j = H 2 , PH 2 ≥ PHs2 ) j =1 s − J H 2 × H H 2 j = H 2 , PH 2 > PH 2 J H 2 × H H 2 PH 2 ≥ PHs 2 × s − J H 2 × H H 2 PH 2 > PH 2
(B.25)
n
Now we have:
m n n ∂H j ∂T NOS 1 ∂ ( Keff Ar ) − ρb (∑∑ ( H j vij ) × a i ×ri ) − ∑ N j + × U × (T s − T ) Ar ∂r ∂r ∂r π r × Rθ i =1 j =1 j =1 s NOS J H 2 × H H 2 PH 2 ≥ PH 2 NOS J H 2 × H H2 × − × s π r × Rθ − J H 2 × H H 2 PH 2 > PH 2 π r × Rθ − J H 2 × H Hs 2 n n ∂U j ∂C j = ε ∑Cj + ε ∑ (U j − H j ) ∂t ∂t j =1 j =1
+
PH 2 ≥ PHs 2 PHs 2 > PH 2
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The following definitions are used to simplify the recent equation:
n
∆H i = ∑ (vij H j )
(B.27)
j =1
∂H j ∂r n
=
∑Nj
∂H j ∂T
∂H j ∂r
j =1
×
∂T ∂T = C Pj × ∂r ∂r
(B.28)
n
= ∑ (( J j + C j ur ) × CPj × j =1
n
n
Cj
j =1
j =1
CT
(∑ C j CPj ) = CT (∑ (
∂T ∂T )= ∂r ∂r
n
n
j =1
j =1
∑ (( J j + C jur ) × CPj ) ur (∑ C jCPj )
∑ (U j − H j )
∂C j
j =1
∂U j ∂t
=
∂U j ∂T
×
∂t
(B.29)
n
)CPj ) = CT ∑ y j CPj = CT CP
(B.30)
j =1
(U j − H j ) = − Pv j = − RT n
∂T ∂r
(B.31)
n
= − RT ∑ j =1
∂C j ∂t
= − RT
∂CT ∂t
(B.32)
∂T ∂T = CV j × ∂t ∂t
(B.33)
CV j = CPj − R
(B.34)
CV = C P − R
(B.35)
Additionally:
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n
∑Cj j =1
∂U j ∂t
n
= ∑ C j CV j × j =1
n
n
Cj
j =1
j =1
CT
(∑ C j CV j ) = CT (∑ (
∂T ∂T = ∂t ∂t
n
n
j =1
j =1
∑ C jCV j = (∑ C jCV j )
∂T ∂t
(B.36)
n
)CV j ) = CT ∑ y j CV j = CT CV
(B.37)
j =1
where CV and C P are the average heat capacities of mixture at constant volume and pressure respectively. Accordingly, based on the above definition:
m 1 ∂ ∂T ∂T ( K eff Ar ) − ρb (∑ ∆H i × ai × ri ) − ur CT CP Ar ∂r ∂r ∂r i =1
NOS NOS J H 2 × ( H H2 − H H2 ) × U × (T s − T ) + × π r × Rθ π r × Rθ J H 2 × (− H H2 +H Hs 2 ) ∂T ∂C = ε CT CV − ε RT T ∂t ∂t +
PH 2 ≥ PHs 2 PHs 2 > PH 2
(B.38)
and then,
m 1 ∂ ∂T ∂T ( K eff Ar ) − ρb (∑ ∆H i × ai × ri ) − ur CT CP Ar ∂r ∂r ∂r i =1
NOS NOS J H 2 × ( H H2 − H H2 ) + × U × (T s − T ) + × π r × Rθ π r × Rθ J H 2 × (− H H2 +H Hs 2 ) ∂C ∂T +ε RT T = ε CT CV ∂t ∂t
PH 2 ≥ PHs 2 PHs 2 > PH 2
now we define γ H 2 and then: 33 ACS Paragon Plus Environment
(B.39)
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m 1 ∂ ∂T ∂T NOS ( K eff Ar ) − ρ b ( ∑ ∆ H i × ai × ri ) − u r C T C P + × U × (T s − T ) Ar ∂r ∂r ∂ r r × R π i =1 θ
NOS ∂ CT ∂T + × J H 2 × {γ H 2 − H H 2 } + ε RT = ε × CT × CV ∂t ∂t π r × Rθ
(B.40)
and in the final analysis γ H 2 is defined as below:48,49 H H 2 s H H 2
γH = 2
PH 2 ≥ PHs 2
(B.41)
PH 2 < PHs 2
By neglecting conductive heat transfer in comparison to convective heat transfer and heat of reaction,
−ur CT CP
m ∂T − ρb ∑ ( ∆H i × ai × ri ) ∂r i =1
NOS NOS J H 2 × ( H H2 − H H2 ) + × U × (T s − T ) + × π r × Rθ π r × Rθ J H 2 × (− H H 2 +H Hs 2 )
PH 2 ≥ PHs 2 PHs 2 > PH 2
(B.42) =0
and finally,
ρb ∂T =− ∂r ur CT C P
m
∑ ( ∆H i =1
i
× ai × ri ) +
NOS × U × (T s − T ) π r × Rθ × ur × CT × CP
NOS J H × ( H H 2 − H H 2 ) + × 2 π r × Rθ × ur × CT × CP J H 2 × ( − H H2 +H Hs 2 )
PH 2 ≥ PHs 2 PHs 2 > PH 2
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(B.43)
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Velocity distribution in the reaction side To obtain velocity distribution equation, the mass balance equation is used.
∂C j ∂r
=−
Cj r
−
C j ∂ur ρb + ur ∂r ur
m
∑ a ×ν i
r
ij i
i =1
0 j ≠ H2 j = 1, 2,..., n NOS − × J H 2 j = H 2 , PH 2 ≥ PHs 2 i = 1, 2,..., m π r × Rθ × ur s − J j = H , P > P 2 H2 H2 H2
(B.44)
Then, by integrating the above equation: n
∑ j =1
∂C j ∂r
n
Cj
j =1
r
= −∑
−
1 ∂ur ur ∂r
n
ρb
j =1
ur
∑Cj +
n
m
∑∑ a ×ν i
r
ij i
j =1 i =1
0 j ≠ H2 NOS −∑ × J H 2 j = H 2 , PH 2 ≥ PHs 2 j =1 π r × Rθ × ur s − J H 2 j = H 2 , PH 2 > PH 2 n
(B.45)
By considering ∑Cj = CT, the velocity equation becomes:
∂CT C C ∂u ρ =− T − T r + b ∂r r ur ∂r ur
n
m
NOS ai ×ν ij ri − ∑∑ π r × Rθ × ur j =1 i =1
J H 2 PH 2 ≥ PHs2 × s − J H 2 PH 2 > PH 2
(B.46)
The above equation is multiplied by ur/CT,
ur ∂CT u ∂u ρ × =− r − r + b CT ∂r r ∂r CT
J H 2 PH 2 ≥ PHs2 NOS ai ×ν ij ri − × ∑∑ π r × Rθ × CT − J H 2 PHs2 > PH 2 j =1 i =1 n
m
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Eventually, the velocity distribution equation is:
ρ u u ∂C ∂ur =− r − r × T + b r CT ∂r CT ∂r
To find
CT =
n
m
∑∑ ai ×ν ij ri − j =1 i =1
J H PH 2 ≥ PHs2 NOS × 2 π r × Rθ × CT − J H 2 PHs2 > PH 2
(B.48)
∂CT in this equation, we use ideal gas law: ∂r
P RT
(B.49)
Then by doing the following algebraic operations on the above relations, we have:
∂CT 1 ∂P P ∂T = − ∂r RT ∂r RT 2 ∂r
(B.50)
Mass and energy balances and velocity distribution in the sweep gas side With same procedure, for sweep gas side we have: Mass balance
∂C sj
C sj
C sj ∂u s NOS =− − s r + ∂r r ur ∂r π r × (1 − Rθ ) × urs
0 j ≠ H2 j = 1, 2,..., n ' × J H 2 j = H 2 , PH 2 ≥ PHs 2 s − J H 2 j = H 2 , PH 2 > PH 2
Where n ' is the number of component in the sweep gas side
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(B.51)
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Energy balance
∂T s NOS = × U × (T − T s ) π r × (1 − Rθ ) × urs × C Ts × C P ∂r J H × ( H H 2 − H H 2 ) NOS − × 2 s s π r × (1 − Rθ ) × ur × C T × C P J H 2 × ( − H H2 +H Hs 2 )
PH 2 ≥ PHs 2
(B.52)
PHs 2 > PH 2
Velocity distribution
J H 2 PH 2 ≥ PHs2 urs urs ∂CTs NOS ∂urs =− − s × + × r CT ∂r π r × (1 − Rθ ) × CTs − J H 2 PHs2 > PH 2 ∂r
(B.53)
Collector mass and energy balance
The mass balance in the collector can be written as:
Fj |z − Fj |z + dz + Fje = 0
(B.54)
j = 1, 2,..., n
Where Fj , is molar flow rate of component j in Z direction and Fje is output molar flow rate of component j from reaction side that enters to the collector.
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F je = C je ure Are = C jeure
2π Ri × dz × Rθ NOS
j = 1, 2,..., n
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(B.55)
Where, C je and ure are concentration of component j and radial velocity in inner radius of reactor By considering the Taylor’s extension, the mass balance equation is changed to:
∂F j ∂z
=
2π Ri ure C je × Rθ NOS
(B.56)
j = 1, 2,..., n
Then, to calculate total molar flow rate (FT), the summation of recent equation for all pseudocomponents in reaction side is considered:
n
∂Fj
n
2π Ri
∑ ∂z = ∑ ( NOS u j =1
n
(B.57)
C je × Rθ )
j =1
∂Fj
∑ ∂z j =1
re
=
n 2π Ri ure × Rθ ∑ (C je ) NOS j =1
(B.58)
Finally, because ∑Cje = CTe, we have:
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∂FT 2π Ri = ure × Rθ × CTe NOS ∂z
(B.59)
Where
32
(B.60)
FT = ∑ F j j =1
The energy balance in the collector can be written as:
n
(B.61)
FT C PT |z − FT CPT |z + dz + ∑ F jeC p je (Te − T ) = 0 j =1
where
m
∑F C j
Cp =
j =1
(B.62)
pj
FT
Equation B.55 is substituted in energy balance and the below equation is obtained, n
FT C PT |z − FT C PT |z + dz + ∑ C jeure j =1
2π Ri × dz × Rθ × C p je (Te − T ) = 0 NOS
By considering the Taylor’s extension, the energy balance equation is changed to:
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(B.63)
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2π Ri ∂( FT CPT ) n = ∑ C jeure × Rθ × C p je (Te − T ) ∂z NOS j =1
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(B.64)
, as we know: n
n
C je
j =1
j =1
CTe
∑ (C jeCPje ) = CTe ∑ ((
n
)CPje ) = CTe ∑ ( y jeCPje ) = CTeCPe
(B.65)
j =1
Then,
∂( FT CPT ) 2π Ri = CTeure × × Rθ × C pe (Te − T ) ∂z NOS
CPT
(B.66)
∂( FT ) ∂(CP ) 2π Ri ∂(T ) + FT CP + FT T = × CTeure Rθ C pe (Te − T ) NOS ∂z ∂z ∂z
(B.67)
2π Ri 1 ∂T 1 ∂CP 1 ∂FT 1 + + = × × CTeure Rθ C pe (Te − T ) T ∂z CP ∂z FT ∂z FT CPT NOS
(B.68)
2π Ri ∂T 1 T 2π Ri T ∂CP = × × CTeure Rθ C pe (Te − T ) − ( × ure Rθ CTe ) − FT NOS CP ∂z ∂z FT CP NOS
(B.69)
With same procedure for sweep gas section in the collector, the mass and energy balances are defined as follows:
∂Fjs ∂z
=
2π Ri s s ureC je × (1 − Rθ ) NOS
j = 1, 2,..., n'
(B.70)
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∂T s CTes u res 2π R i T s 2π R i s s = s × × (1 − Rθ ) ×C pe × (T e −T ) − s ( × u res × (1 − Rθ ) ×CTes ) ∂z FT C P NOS FT NOS T s ∂C P − C P ∂z
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(B.71)
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Nomenclature ai
= Catalyst activity
aA = Acidic function activity aC A = Acidic function activity for coke formation aC M = Metallic function activity for coke formation
aM = Metallic function activity A r = Cross-section area of reactor in radial direction, m2 Ap = surface area of membrane, m2
C = Concentration, kmol m–3 C ACP = Alkyl-cyclopentane concentration, kmol m–3 C C A = Coke weight fraction on acidic function of catalyst, kg kgcat–1 C C M = Coke weight fraction on metallic function of catalyst, kg kgcat–1 C j 0 = Inlet concentration of component j, kmol m–3 C p = Specific heat capacity at constant pressure, kJ kmol–1 K–1
C v = Specific heat capacity at constant volume, kJ kmol–1 K–1 CT = Total concentration, kmol m–3 d p = Particle diameter, m
De = Effective diffusivity, m2 s–1 E c = Coke formation activation energy, J mol-1
F = Molar flow rate, kmol h-1 Fj = Molar flow rate of component j, kmol h-1 -1 FT = Total molar flow rate to the reactor, kmol h
J H2 = Hydrogen permeation rate, kmol m-2 h-1
H = Enthalpy, J mol-1 H j = Enthalpy of component j, J mol-1
k = Thermal conductivity, W m-1K-1 k C A = Constant of deactivation equation for acidic function, kg kg–1 kPan1 m1.5 kmol-1.5 k C M = Constant of deactivation equation for metallic function, kg kg–1 kPan1 m1.5 kmol-1.5 k eff = Effective thermal conductivity, W m–1 k–1
k in = Reaction rate constant for reaction (in) K in = Equilibrium constant for reaction (in)
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L = Length of reactor, m m = Number of reactions M
j
= Molecular weight of component j, kg kmol–1 = Mean molecular weight in the flow, kg kmol–1 = Number of components = Constant of deactivation equation
M
n n1
n 2 = Constant of deactivation equation n A = Acidic function activity power number nCA = Acidic function activity power number n M = Metallic function activity power number nC M = Metallic function activity power number N
j
P PAn
= Molar flux of component j, kmol m-2 h-1 = Total pressure, kpa = Partial pressure of n carbon aromatic, kpa
PA CH n = Partial pressure of n carbon alkyl-cyclohexane, kpa PA CPn = Partial pressure of n carbon alkyl-cyclopentane, kpa PH 2 = Partial pressure of hydrogen, kpa PIPn = Partial pressure of n carbon iso-paraffin with, kpa PNPn = Partial pressure of n carbon normal-paraffin, kpa
r = Radius, m ri = Rate of ith reaction, kmol kgcat–1 h–1 rin = Rate of inth reaction, kmol kgcat–1 h–1 rCo = Rate of coke formation on fresh catalyst, kg kgcat–1 h–1
rCA = Rate of coke formation on acidic function of catalyst, kg kgcat–1 h–1 rC M = Rate of coke formation on metallic function of catalyst, kg kgcat–1 h–1
R = Gas constant, J mol–1 K–1 R i = Inner diameter, m R o = Outer diameter, m Sa = Specific surface, m2 g–1 T = Temperature, K U = Overall heat transfer coefficient, W m-2 K-1 U j = Internal energy of component (j), J mol-1 –1 u r = Radial velocity, m s
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y j = Mole fraction of component (j)
Greek Letters
ε = Void fraction of catalyst bed
µ = Viscosity, kg m–1 s–1 v ij = Stoichiometric coefficient of component j in reaction i
ρb = Reactor bulk density, kg m–3
φ s = Sphericity θ1 = Reaction side angle θ 2 = sweep side angle
δ H = Membrane thickness, m 2
∆H = Heat of reaction, kJ mol–1 ∆z = Control volume length, m ∆r = Control volume thickness in radial direction, m αA = Constant of deactivation, m3 kmol-1 αC = Constant of deactivation, m3 kmol-1 A
αC
M
= Constant of deactivation, m3 kmol-1
π = Pi number α M = Constant of deactivation, m3 kmol-1 Superscript
s = Sweep side Subscript = Exit condition i = Numerator for reaction j = Numerator for component n = Number of carbon atom
e
T = Total
Abbreviations A = Aromatics ACH = Alkyl- cyclohexane ACP = Alkyl- cyclopentane 44 ACS Paragon Plus Environment
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CCR = Continuous catalyst regeneration reformer CR = Conventional reactor FBP = Final boiling point HC = Hydrocarbon IBP = Initial boiling pint, ◦C IP = Iso-paraffin LOD = Length over diameter NOS =Number of subsections NP = Normal-paraffin MR = Membrane reactor Pd-Ag =Palladium-silver Pt = Platinum Sn = Tin
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References (1) Antos, G. J.; Aitani A. M. Catalytic naphtha reforming; 2nd ed, New York: Marcel Dekker Inc., 1995. (2) Aitani, A. M. Encyclopedia of Chemical Processing; Taylor &Francis: London, 2005. (3) Hou, W.; Hu, Y.; Su H.; Chu, J. Proceedings of the 5Ih World Congress on Intelligent Control and Automation, Hangzhou, P.R. China, June 15-19, 2004. (4) Smith, R. B. Chem. Eng. Prog. 1959, 55, 76–80. (5) Krane, H. G.; Groh, A. B.; Schulman, B. L.; Sinfelt, J. H. Proc. World Pet. Congr. 1960, 3, 39–53. (6) Kmak, W. S. A Kinetic Simulation Model of the Powerforming Process. AIChE National Meeting, Houston, TX, 1972. (7) Ramage, M. P.; Graziani, K. P.; Krambeck, F. J. Chem. Eng. Sci. 1980, 35, 41–48. (8) Jenkins, J. H.; Stephens, T.W. Hydro. Process 1980, 11, 163–167. (9) Wolff, A.; Kramarz, J. Chemistry and Technology of Fuels and Oils. 1979, 15, 870–877. (10) Juarez, J.A.; Macias, E.V. Energy Fuels 2000, 14, 1032–1037. (11) Sotelo-Boyas, R.; Froment, G. F. Ind. Eng. Chem. Res. 2009, 48, 1107–1119. (12) Hu, Y.; Su, H.; Chu, J. Proreedings of the 42nd IEEE Conferenm on Decision and Control Maui, Hawaii USA, December 2003. (13) Hu, S.; Zhu, X. X. Chem. Eng. Comm. 2004, 191, 500–512. (14) Hongjun, Z.; Mingliang, S.; Huixin, N.; Zeji, L.; Hongbo, J. Petrol. Sci. Technol. 2010, 28, 667–676. (15) Otal, L. M. R.; Garcia, T. V.; Rubio, M. S. Stud. Surf. Sci. Catal. 1997, 111, 319–325.
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(16) Gonzalez-Marcos, M. P.; Inarra, B.; Guil, J. M.; Gutierrez-Ortiz, M. A. Catal. Today 2005, 107-108, 685–692. (17) Pieck, C. L.; Sad, M. R.; Parera, J. M. J Chem. Technol. Biotechnol. 1996, 67, 61–66. (18) Ren, X. H.; Bertmer, M.; Stapf, S.; Demco, D. E.; Blu¨mich, B.; Kern, C.; Jess, A. Appl. Catal. A. 2002, 228, 39–52. (19) Carvalho, L. S.; Pieck, C. L.; Rangel, M. C.; Figoli, N. S.; Grau, J. M.; Reyes, P.; Parera, J. M. Appl. Catal. A 2004, 269, 91–103. (20) Borgna, A.; Garetto, T. F.; Monzon, M.; Apesteguia, C. R. J Catal. 1994, 146, 69–81. (21) Viswanadham, N.; Kamble, R.; Sharma, A.; Kumar, M.; Saxena, A. K. J. Mol. Catal. A: Chem. 2008, 282, 74–79. (22) Martin, N.; Viniegra, M.; Zarate, R.; Espinosa, G.; Batina, N. Catal. Today 2005, 107-108, 719–725. (23) Taskar, U.; Riggs, J. B. AIChE J 1997, 43,740-753. (24) Juarez, J. A.; Macias, E. V.; Garcia, L. D.; Arredondo, E. G. Energy Fuels 2001, 15, 887893. (25) Li J.; Tan Y.; Liao L. In: Conference on control application, 2005. (26) Hou, W.; Su, H.; Hu, Y.; Chu, J. Chin J Chem. Eng. 2006, 14, 584-591. (27) Khosravanipour Mostafazadeh, A.; Rahimpour, M. R. Chem. Eng. Process. 2009, 48, 683694. (28) Stijepovic, M. Z.; Linke, P.; Kijevcanin, M. Energy Fuels 2010, 24, 1908-1916. (29) Mahdavian, M.; Fatemi, S.; Fazeli, A. Int. J Chem. Reactor Eng. 2010. (30) Lee, J. W.; Ko, Y. C.; Jung, Y. K.; Lee, K. S. Comput. chem. Eng. 1997, 1105-1110.
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(31) Abdel Gawad, A. K.; Ashour, H.; Zakzouk, E. E. In Proceedings of 2003 IEEE Conference on Control Applications, Istanbul, 23–25 June 2003. (32) Rafiei, R.; Amiri, S.; Mirvakili, A.; Iranshahi, D.; Rahimpour, M. R. Energy Fuels 2012, 26, 5858-5871. (33) Nam, S. E.; Lee, K. H. J Membr. Sci. 2001, 192, 177–185. (34) Okazaki, J.; Tanaka, D. A. P.; Tanco, M. A. L.; Wakui, Y.; Mizukami, F.; Suzuki, T. M. J Membr. Sci. 2006, 282, 370–374. (35) Dittmeyer, R.; Höllein, V.; Daub, K.; J. Mol. Catal. A: Chem. 2001, 173, 135–184. (36) Baker, R. W. Ind. Eng. Chem. Res. 2002, 41, 1393–1411.
(37) Rahimpour, M. R.; Iranshahi, D.; Pourazadi, E.; Paymooni, K.; Bahmanpour, A. M. AICHE J 2011, 57,3182–3198 (38) Hodoshima, S.; Shono, A.; Saito, Y. Energy Fuels 2008, 2, 2559–2569. (39) Liao, Z.; Wang, J.; Yang, Y.; Rong, G. J Clean Prod. 2010, 18, 233–241. (40) Hallale, N.; Liu, F. Adv. Environ Sci. 2001, 6, 81–98. (41) Aitani, A. M.; Ali, S. A. Erdoel & Kohle, Erdgas, Petrochemie. 1995, 48, 19-24. (42) Padmavathi, G.; Chaudhuri, K. K. Canadian J Chem. Eng. 1997, 75, 930-937. (43) Liu, K.; Fung, S. C.; Ho, T. C.; Rumschitzki, D. S. J Catal. 2002, 206, 188-201. (44) Liu, K.; Fung, S. C.; Ho, T. C.; Rumschitzki, D. S. Ind. Eng. Chem. Res. 1997, 36, 32643274. (45) Tailleur, R. G.; Davila, Y. Energy Fuels. 2008, 22, 2892-2901. (46) Brinkmann, T.; Perera, S. P.; Thomas, W. J. Chem. Eng. Sci. 2001, 56, 2047. (47) Alhumaizi, K.; Comput. Chem. Eng. 2004, 28, 1759–1769.
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(48) Fogler, H. S.; Elements of Chemical Reaction Engineering; 2nd ed, NJ: Prentice-Hall Englewood Cliffs., 1992. (49) Barbieri, G.; Marigliano, G.; Golemme, G.; Drioli, E. Chem. Eng. J. 2002, 85, 53–59.
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List of Figures Figure 1 A schematic diagram of conventional CCR process. Figure 2 A simple diagram of conventional reactor (CR). Figure 3 A diagram of membrane reactor (MR). Figure 4 Proposed reactions network for catalytic reforming of naphtha. Figure 5 A differential element for mass and energy balances. Figure 6 Temperature profile of CR and MR. Figure 7 Aromatics molar flow rates vs. the radius of conventional and membrane reactors. Figure 8 Hydrogen molar flow rate in both reaction and sweep gas sides for the membrane reactors. Figure 9 (a) Naphthenes, (b) paraffins, (c) light ends molar flow rates along the radius of conventional and membrane reactors. Figure 10 A comparison between (a) molecular weight (b) heat capacity of components along the radius of the membrane and conventional reactors. Figure 11 H2/HC molar ratio vs. the axial and radial coordinates of both CR and MR. Figure 12 (a) coke weight fractions along the length and radius of the membrane reactor for both acidic and metallic functions, (b) ACP concentration vs. the radius of MR, (c) activity of catalysts for MR. Figure 13 Weight fraction of deposited coke vs. axial velocity. 50 ACS Paragon Plus Environment
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Figure 14 A comparison between CR and MR (a) coke weight fractions, (b) activity of catalysts
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List of Tables Table 1 Specific properties and operating conditions for the conventional and membrane configurations. Table 2 Rate constants and the heat of dehydrogenation reactions. Table 3 Rate constants and the heat of (a) paraffin dehydrocyclization to naphthene reactions (b) paraffin dehydrocyclization to aromatic reactions. Table 4 Rate constants and the heat of (a) isomerization of naphthene and paraffin reactions (b) isomerization of aromatic reactions. Table 5 Rate constants and the heat of transalkylation reactions. Table 6 Rate constants and the heat of cracking of (a) paraffin reactions (b) naphthene reactions. Table 7 Rate constants and the heat of hydrodealkylation reactions. Table 8 Catalyst functions on the main reactions in the proposed kinetic model (metallic (M) & acidic (A) functions). Table 9 Catalyst deactivations model. Table 10 Mass & Energy balances and auxiliary relations for the membrane configuration. Table 11 Comparison between predicted production rate and plant data. Table A1 Required constants for calculating catalyst deactivation rate and activity.
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Figure1
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Reactor feed
Reformate
Catalyst
Figure 2
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Figure 3
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Figure4
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θ2
θ1
Figure 5
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790 780 770
Temperature (K)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
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760 750 740 730 720 CR MR
710 700
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 6
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0.8
0.9
1
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1800 CR MR
1600
Aromatic molar flow rate (kmol/hr)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
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1400 1720 1200
1700
1000
1680 1660
800
0.96
0.98
1
600 400 200
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 7
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0.8
0.9
1
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CR MR
10000
Hydrogen molar flowrate (kmol/hr)
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Total Hydrogen molar flow rate 4
1.04
x 10
8000 1.02 6000
1
0.96
0.98
1
4000 Hydrogen molar flow rate in reaction side Hydrogen production in sweep section
2000
0
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 8
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0.8
0.9
1
Page 61 of 88
450
Naphthene molar flow rate (kmol/hr)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
CR MR
400 350 300 250
37
200
36
150
35
100
34
0.96
0.98
1
50 0
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 9a
61 ACS Paragon Plus Environment
0.8
0.9
1
Energy & Fuels
2000 CR MR
1800
Paraffin molar flow rate (kmol/hr)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 62 of 88
1600 500 1400 480 1200
460 440
1000
420
800
0.96
0.98
1
0.7
0.8
0.9
600 400
0
0.1
0.2
0.3
0.4
0.5
0.6
Radius of reactor (Dimensionless)
Figure 9b
62 ACS Paragon Plus Environment
1
Page 63 of 88
1700 CR MR
1600
Light end molar flow rate (kmol/hr)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
1500 1400 1695
1300
1690
1200
1685
1100
1680 1000
0.96
0.98
1
900 800
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 9c
63 ACS Paragon Plus Environment
0.8
0.9
1
Energy & Fuels
35
Molecular weight (kg/kmol)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 64 of 88
30
25
CR MR 20
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 10a
64 ACS Paragon Plus Environment
0.8
0.9
1
Page 65 of 88
140 CR MR
130
Heat capacity (kJ/kmol.K)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
120
110
100
90
80
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 10b
65 ACS Paragon Plus Environment
0.8
0.9
1
Energy & Fuels
5
H2/HC molar ratio
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 66 of 88
4.5 4 3.5 3
CR MR
2.5 2 1 0.5
Radius of reactor (Dimensionless)
0
0
0.2
0.4
0.6
0.8
Length of reactor (Dimensionless)
Figure 11
66 ACS Paragon Plus Environment
1
Page 67 of 88
Total
Coke weight fraction (kg coke/kg cat )
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
0.06 0.05 0.04 0.03 0.02 0.01 0 1 0.8
Acidic function
1 0.6
0.8 0.6
0.4 Metallic function 0.2
Length of reactor (Dimensionless)
0.4 0
0.2 0
Radius of reactor (Dimensionless)
Figure 12a
67 ACS Paragon Plus Environment
Energy & Fuels
180
Alkylcyclopentane molar flow rate (kmol/hr)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 68 of 88
160 140 120 100 80 60 40 20
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Radius of reactor (Dimensionless)
Figure 12b
68 ACS Paragon Plus Environment
0.8
0.9
1
Page 69 of 88
Metallic function
1 0.9
Catalyst activity
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
0.8 0.7 0.6 0.5 1 0.8
1
Acidic function
0.6
0.8 0.6
0.4
0.4
0.2
Length of reactor (Dimensionless)
0
0.2 0
Radius of reactor (Dimensionless)
Figure 12c
69 ACS Paragon Plus Environment
Energy & Fuels
0.085
cat.
)
0.08
Weight fraction of deposited coke (kg/kg
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 70 of 88
0.075
0.07
0.065
0.06
0.055
0.05
0.045 0.08
0.09
0.1
0.11
0.12
Catalyst axial velocity (mm/s)
Figure 13
70 ACS Paragon Plus Environment
0.13
0.1367
Page 71 of 88
0.04 CR MR
0.035
Coke weight fraction ( kg coke/kg cat )
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
0.03 Acidic function 0.025 0.02 0.015 0.01 0.005 Metallic function 0
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Length of reactor (Dimensionless)
Figure 14a
71 ACS Paragon Plus Environment
0.8
0.9
1
Energy & Fuels
1 CR MR
0.95 0.9
Activity of catalyst
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 72 of 88
Metallic function
0.85 0.8 0.75 0.7 Acidic function 0.65 0.6 0.55
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Length of reactor (Dimensionless)
Figure 14b
72 ACS Paragon Plus Environment
0.8
0.9
1
Page 73 of 88
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 1 − Specific properties and operating conditions for the conventional and membrane configurations. Specific properties and operating conditions for the conventional and membrane configuration parameter Numerical Value Naphtha feed stock 233637.01 H2/HC mole ratio 2.193 Mole percent of hydrogen in recycle 0.83 Distillation fraction of naphtha feed ASTM D86 Naphtha feed (oC) IBP 81 5% 91.2 10% 93.2 20% 96.9 30% 101.1 40% 105.7 50% 111.4 60% 117.6 70% 124.5 80% 132.7 90% 143.1 95% 150.5 FBP 159 Typical properties of catalyst dp 1.8 mm Pt 0.3 wt% Sn 0.3 wt% 2 220 m /g s
unit kg/hr − −
a
ρB
Kg/ m3
680
ε
0.36 Specific properties and operating conditions for the conventional configuration 1st reactor 2nd reactor 3rd reactor Inlet temperature (K) 798 798 798 Inlet pressure (kPa) 595 550 505 Inner and outer Diameter(m) 1.25, 2.19 1.25, 2.35 1.30, 2.53 length (m) 8.50 10.35 12.1 Catalyst distribution (wt %) 12 18 25 Specific properties and operating conditions for the membrane configuration 1st reactor 2nd reactor 3rd reactor Inlet temperature (K) 798 798 798 Inlet pressure for reaction side (kPa) 595 550 505 Inlet pressure for sweep side (kPa) 120 120 120 Inner and outer Diameter(m) 1.25, 2.28 1.25, 2.45 1.30, 2.64 length (m) 8.86 10.81 12.63 NOS (Number of subsection) 47 30 24 10 10 10 Membrane thickness( µ m ) 0.85 0.85 0.85 R = θ (θ + θ ) θ
1
1
2
Catalyst distribution (wt %)
12
18
73 ACS Paragon Plus Environment
25
− 4th reactor 798 460 1.30, 2.89 15.39 45 4th reactor 798 460 120 1.30, 3.03 16.12 13 10 0.85 45
Energy & Fuels
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 74 of 88
Table 2
ACHn ↔ An + 3H 2
r1n = k1n ( PACHn −
PAn PH3 2 ) K1n
k1n = exp(a −
E ) RT
(kmol.kgcat .−1 h−1.kPa−1 )
(1)
a
E R
A
B
68.73 208.47
18.75 20.70
19.50 19.50
59.90 60.23
24.80×103 25.08×103
for An = MX ∗
64.50
17.89
19.50
60.37
23.27×103
for An = OX ∗
65.10
19.15
19.50
60.32
23.49×103
for An = PX ∗
64.74
18.66
19.50
60.13
23.36×103
for An = EB∗
68.70
18.71
19.50
60.40
24.78×103
66.05
20.38
19.50
61.05
21.33×103
∆H ( C6 C7 C8
C9+
B K1n = exp( A − ) T 3 (kPa)
kJ ) molH 2
* added reactions into the padmavathi et al.42 model.
74 ACS Paragon Plus Environment
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 3A
ACHn + H2 ↔ NPn
r2n = k2n (PACHnPH 2 −
∆H ( C6 C7 C8 C9+
ACHn + H 2 ↔ IPn
C6 C7 C8 C9+
NPn ↔ ACPn + H 2
-52.00 -39.30 -49.40 -49.00
*
C5 C6 C7 C8 C9+
IPn ↔ ACPn + H 2
C5* C6 C7 C8 C9+
B
-9.12 -8.95 -8.34 -8.12
-5.24×103 -3.95×103 -3.91×103 -3.37×103 (3) B
K3n = exp( A− ) T −1 (kPa )
E R
A
B
26.36 25.75 29.00 29.76
33.11 33.11 33.11 33.11
-14.35 -13.65 -13.17 -12.39
-6.25×103 -4.73×103 -5.94×103 -5.89×103 (4) B
E ) RT (kmol.kgcat .−1 h−1.kPa −1 ) a E k 4 n = exp(a −
K4n = exp( A− ) T (kPa ) A
B
R 30.75 31.94 33.43 31.31 32.96
33.11 33.11 33.11 33.11 33.11
E ) RT (kmol.kgcat .−1 h−1.kPa −1 ) a E R
PACPn PH 2 ) K 5n
k 5 n = exp(a −
kJ ) mol
76.67 70.60 67.20 78.60 80.00
(2)
a
kJ ) mol
r5 n = k 5 n ( PIPn −
∆H (
k3 n = exp(a −
PACPn PH 2 ) K 4n
69.73 60.74 60.75 61.75 59.00
33.11 33.11 33.11 33.11
E ) RT ( kmol.kg cat .−1 h −1.kPa −2 )
PIPn ) K 3n
kJ ) mol
r4 n = k 4 n ( PNPn −
B K2n = exp( A− ) T −1 (kPa ) A
R 24.37 29.10 27.81 29.76
r3 n = k 3n ( PACHn PH 2 −
∆H (
k2 n = exp( a −
kJ ) mol
-43.64 -32.85 -32.55 -28.00
∆H (
E ) RT ( kmol.kg cat .−1 h −1.kPa −2 ) a E
PNP ) K 2n
29.83 30.87 32.95 34.19 32.96
33.11 33.11 33.11 33.11 33.11
* added reactions into the padmavathi et al.42 model.
75 ACS Paragon Plus Environment
14.39 14.77 14.63 15.98 15.21
8.38×103 7.31×103 7.31×103 7.43×103 7.09×103 (5) B
K5n = exp( A− ) T (kPa ) A 16.18 16.03 15.47 16.37 16.02
B
9.22×103 8.50×103 8.08×103 9.45×103 9.62×103
Energy & Fuels
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 76 of 88
Table 3B
NPn ↔ An + 4H 2
r6 n = k 6 n ( PNpn −
kJ ) molH 2 66.50 63.20
4 H2
PAn P ) K 6n
B E K6n = exp( A − ) ) T RT −1 −1 −1 4 (kmol.kgcat . h .kPa ) (kPa)
k 6 n = exp(a −
(6)
A
B
16.87 17.17
E R 18.86 18.86
35.73 35.21
7.99×103 7.60×103
56.51
17.32
18.86
34.13
6.79×103
for An = OX for An = PX
56.95
17.89
18.86
34.21
6.85×103
56.70
17.01
18.86
34.16
6.81×103
for An = EB
59.66
16.96
18.86
34.63
7.17×103
33.56
6.36×103
∆H (
C 6* C 7* C 8* for An = MX
C9+*
IPn ↔ An + 4H 2
59.29
r7 n = k 7 n ( PIpn
kJ ) molH 2 68.18 64.83
a
18.90 18.86 4 P P E − An H 2 ) k 7 n = exp(a − ) K 7n RT
(7)
B K7n = exp(A− ) T 4 (kPa) (kmol.kgcat .−1 h−1.kPa −1 ) A
B
16.44 16.90
E R 18.86 18.86
36.01 35.47
8.20×103 7.79×103
60.73
16.27
18.86
34.81
7.30×103
for An = OX
61.17
16.78
18.86
34.87
7.35×103
for An = PX for An = EB
60.90
16.04
18.86
34.83
7.32×103
63.88
15.93
18.86
35.23
7.68×103
60.77
17.66
18.86
34.81
7.3×103
∆H (
C 6* C 7* C 8* for An = MX
C9+*
a
* added reactions into the padmavathi et al.42 model.
76 ACS Paragon Plus Environment
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 4A ACPn ↔ ACH n
r8 n = k 8n ( PACPn −
PACHn ) K 8n
k 8 n = exp(a −
E ) RT
(kmol.kgcat .−1 h−1.kPa −1 )
∆H ( C6 C7 C8 C9+
NPn ↔ IPn
kJ ) mol
-17.10 -27.90 -29.20 -31.00
r9 n = k 9 n ( PNPn −
C4* C5* C6 C7 C8 C9+
kJ ) mol
-9.23 -6.94 -9.86 -6.45 -13.95 -21.00
B ) T
(8)
(−)
a
E R
A
B
15.11 24.73 25.78 26.13
23.81 23.81 23.81 23.81
-5.20 -6.63 -6.83 -7.16
-2.06×103 -3.36×103 -3.51×103 -3.73×103
PIPn ) K 9n
k 9 n = exp(a −
E ) RT
(kmol.kgcat .−1 h−1.kPa −1 )
∆H (
K 8 n = exp( A −
K 9 n = exp( A −
B ) T
(9)
(− )
a
E R
A
B
25.08 24.89 24.70 24.15 25.54 24.48
26 26 26 26 26 26
0.80 1.17 0.69 1.27 0.04 -1.09
-1.11×103 -0.83×103 -1.19×103 -0.76×103 -1.68×103 -2.53×103
* added reactions into the padmavathi et al.42 model.
77 ACS Paragon Plus Environment
Energy & Fuels
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 78 of 88
Table 4B
R↔P
n=1* n=2* n=3* n=4* n=5* n=6*
for n = 1,...,6 r10n = k10n (PR −
R
P
OX OX MX OX EB MX
PX MX EB EB PX PX
∆H (
PP ) K10n
kJ ) mol
-10.50 -17.60 12.60 10.84 -11.89 0.71
E B ) K10n = exp( A − ) RT T −1 −1 −1 (−) (kmol.kgcat . h .kPa ) k10 n = exp(a −
(10)
a
E R
A
B
25.21 24.50 24.53 25.17 25.84 24.47
21.24 21.24 21.24 21.24 21.24 21.24
12.13 11.00 15.81 15.54 11.91 13.7
-1.26×103 -2.11×103 1.50×103 1.30×103 -1.43×103 -0.085×103
* added reactions into the padmavathi et al.42 model.
78 ACS Paragon Plus Environment
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 5 2R ↔ P + C
k11n R
PP PC ) K 11 n B = exp( A − ) ( − ) T A E R
r11 n = k11 n ( PR2 −
for n = 7,8 E = exp(a − ) (kmol .kgcat .−1 h −1.kPa−2 ) RT C P kJ ∆H ( ) mol
K 11n
a
(11)
B
n=7*
T
B
PX
16.20
16.68
21.24
16.41
1.95×103
n=8*
OX
T
A9+
09.16
15.48
21.24
15.28
1.10×103
* added reactions into the padmavathi et al.42 model.
79 ACS Paragon Plus Environment
Energy & Fuels
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 80 of 88
Table 6A
for n = 2
for n = 3
P2 + H 2 → 2 P1
P3 + H 2 → P1 + P2
for n = 4
for n = 5
NP4 + H 2 →
2 ( P3 + P2 + P1 ) 3
NP5 + H 2 →
for n = 6 − 9: NPn +
r12n = k12n (
n −3 n 5 H2 → ∑Pi 3 15 i=1
C2* C3* C4* C5* C6 C7 C8 C9+
for for
r13n
a
-65.20 -53.60 -49.50 -47.80 -47.26 -46.69 -46.61 -46.15
E ) (kmol.kgcat .−1 h−1 ) RT E R
37.85 39.95 40.15 41.60 42.08 42.48 40.53 43.85
34.61 34.61 34.61 34.61 34.61 34.61 34.61 34.61
3 1 H 2 → (3P1 + P2 + P3 ) for n = 6 − 9 : 2 2 n−3 n 5 1 H 2 → ∑ Pi n = 5 IP5 + H 2 → ( IP4 + P3 + P2 + P1 ) IPn + 3 15 i =1 2 n = 4 IP4 +
E ) RT (kmol .kg cat .−1 h −1 ) k 13n = exp(a −
P = k13 n ( IPn ) Pt
∆H ( C4* C5* C6 C7 C8 C9+
kJ ) molH 2
(12)
PNPn ) Pt
k12n = exp(a −
∆H (
1 ( NP4 + P3 + P2 + P1 ) 2
kJ ) molH 2
-40.30 -45.30 -37.40 -41.85 -36.00 -35.65
a
E R
36.15 41.57 40.53 41.57 41.51 42.93
34.61 34.61 34.61 34.61 34.61 34.61
* added reactions into the padmavathi et al.42 model.
80 ACS Paragon Plus Environment
(13)
Page 81 of 88
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 6B
ACH n +
n n 5 H 2 → ∑ Pi 3 15 i =1
r14 n = k14 n (
PACHn ) Pt
E ) RT
k 14 n = exp( a − −1
(14)
−1
(kmol.kgcat . h )
∆H ( C6 C7 C8 C9+
kJ ) molH 2
-45.45 -40.76 -41.00 -40.10
a
E R
42.15 44.70 43.90 44.15
34.61 34.61 34.61 34.61
for n = 5 :
ACP5 + 2 H 2 →
for n = 6 − 9 : ACPn +
1 ( NP4 + P3 + P2 + P1 ) 2
C5* C6 C7 C8 C9+
r15 n
kJ ) molH 2
a
E R
40.23 41.55 43.75 43.65 44.15
34.61 34.61 34.61 34.61 34.61
5
n n H 2 → ∑ Pi 3 15 i =1 ∆H (
E ) RT (kmol.kgcat .−1 h−1 ) k 15 n = exp( a −
P = k15 n ( ACPn ) Pt
-68.74 -54.00 -52.71 -51.95 -50.40
* added reactions into the padmavathi et al.42 model.
81 ACS Paragon Plus Environment
(15)
Energy & Fuels
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Page 82 of 88
Table 7
E ) RT (16) (kmol.kgcat .−1 h−1.kPa−1.5 ) k16 n = exp( a −
An+1 + H 2 → Ak + Cm H 2m+2
C7 C8 for An+1 = PX for An+1 = EB C9+ for Ak = OX for Ak = T *
*
r16 n = k16 n PAn +1 PH0.25
a
E R
-41.81
7.64
17.92
n
-42.32
5.57
17.92
2
n-1
-20.02
5.55
17.92
1 2
n n-1
-52.57 -30.80
8.91 5.57
17.92 17.92
m
k
1
n
1
∆H (
kJ ) molH 2
* added reactions into the padmavathi et al.42 model.
82 ACS Paragon Plus Environment
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
Energy & Fuels
Table 8 reactions
agent
r1n
ACH n ↔ An + 3H 2
M
r9n
r2n
ACH n + H 2 ↔ NPn ACH n + H 2 ↔ IPn
M+A
r3n r4n
NPn ↔ ACPn + H2
reactions
agent A
r10n
NPn ↔ IPn R↔P
M+A
r11n
2R ↔ P + C
M
M+A
r12n
( n − 3) H NP +
n 5 ∑ Pi 2 → 15 i =1
M or A
n 5 ∑ Pi 15 i =1
M or A
n n 5 H 2 → ∑ Pi 3 15 i =1 n n 5 ACPn + H 2 → ∑ Pi 3 15 i =1 An+1 + H 2 → Ak + Cm H 2m+2
M or A
n
r5n
IPn ↔ ACPn + H 2
M+A
r13n
r6n
NPn ↔ An + 4H 2
M+A
r14n
r7n
IPn ↔ An + 4H 2
M+A
r15n
r8n
ACPn ↔ ACH n
A
r16n
A
IPn +
3 ( n − 3) 3
ACH n +
83 ACS Paragon Plus Environment
H2 →
M or A M
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Table 9 Reaction o Reaction ri = ai × ri Reaction Reaction
occurs occurs occurs occurs
on on on on
acid function metal function acid or metal function acid as well as metal functions
Reaction occurs on metal function
ri = aM × rio
−
nM = 1 n ≠ 1 M
−
n A = 1 n ≠ 1 A
aM = exp(−αM × CCM ) (23)
aM =
(
(1+ (nM −1)αM × CCM )
1 ) nM −1
rCM = aCM × rCoM −
nCM = 1 n ≠ 1 CM
ri = aA × rio
(21)
1
daCM
n
dCCM
(1 + (nCM − 1)αCM × CCM )
rCoM =
kCM × exp(−
Ec ) RT × C 0.5
H P ( 2 ) n2 HC
ACP
(24)
1 (1 + (nA −1)α A ×CC A )
−
nCA = 1 n ≠ 1 CA
(29) (
(22)
(
1 ) nA −1
rCA = aCA × rCoA
aCM = exp(−αCM × CCM )
aCM =
daA = α A × aAnA dC C A
aA =
(27)
1
(20)
aA = exp(−αA ×CC A )
(25)
= α CM × aCCMM
(18)
Reaction occurs on acid function (19)
daM = α M × aMnM dCCM
= aA = aM = mean(a A , aM ) = mean(a A , aM )
ai ai ai ai
1 ) nCM −1
= αC A × aCCAA n
dC C A
(28)
aCA = exp(−αCA × CCA ) (30)
1
aCA =
(
(1+ (nCA −1)αCA × CCA ) rCoA =
(31)
n1
daC A
(26)
84 ACS Paragon Plus Environment
kC A × exp(−
Ec ) RT × C 0.5
H P ( 2 )n2 HC n1
ACP
1 ) nCA −1
(32)
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Energy & Fuels
Table 10 Mass balance (Reaction side)
∂C j
C j ∂ur ρb =− − + ∂r r ur ∂r ur Cj
0 j ≠ H2 j = 1, 2,..., n NOS ai ×ν ij ri − × J H 2 j = H 2 , PH 2 ≥ PHs 2 ∑ i = 1, 2,..., m π r × Rθ × ur i =1 s − J j = H P > P , 2 H H H 2 2 2 m
(33)
Mass balance (Sweep gas side)
0 j ≠ H2 C sj ∂urs j = 1, 2,..., n ' NOS s =− − s + × J j = H , P ≥ P H 2 H H 2 2 ∂r r ur ∂r π r × (1 − Rθ ) × urs 2 s − J H 2 j = H 2 , PH 2 > PH 2
∂C sj
C sj
(34)
Energy balance (Reaction side)
ρb ∂T =− ∂r ur CT C P
m
∑ ( ∆H
i
× ai × ri ) +
i =1
NOS × U × (T s − T ) π r × Rθ × ur × CT × CP
NOS J H × ( H H 2 − H H 2 ) + × 2 π r × Rθ × ur × CT × CP J H 2 × ( − H H2 +H Hs 2 )
(35)
PH 2 ≥ PHs 2 PHs 2 > PH 2
Energy balance (Sweep gas side)
NOS NOS ∂T s J H × ( H H2 − H H 2 ) = × U × (T − T s ) − × 2 s s s s π r × (1 − Rθ ) × ur × CT × CP J H 2 × (− H H2 +H Hs 2 ) ∂r π r × (1 − Rθ ) × ur × C T × CP
PH 2 ≥ PHs 2
(36)
P > PH 2 s H2
Hydrogen permeation rate
J H2 =
Q0 exp(−
δH
EH 2
) RT (| P − P Sweep |) H2 H2
(37)
2
Q0 = 1.65 × 10 −5 mol .m −1.s −1 .kPa
−
1 2
EH 2 = 15.7 kJ .mol −1 velocity distribution (Reaction side)
ρ ∂ur u u ∂C =− r − r × T + b ∂r r CT ∂r CT
s NOS J H 2 PH 2 ≥ PH 2 ai ×ν ij ri − × ∑∑ π r × Rθ × CT − J H 2 PHs2 > PH2 j =1 i =1 n
m
(38)
velocity distribution (Sweep gas side)
J H 2 PH 2 ≥ PHs2 ∂urs urs urs ∂CTs NOS =− − s × + × ∂r r CT ∂r π r × (1 − Rθ ) × CTs − J H 2 PHs 2 > PH 2 85 ACS Paragon Plus Environment
(39)
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Page 86 of 88
Collector (Reaction side)
∂Fj
2π Ri ureC je × Rθ j = 1, 2,..., n ∂z NOS 2π Ri ∂T 1 T 2π Ri T ∂CP = × × CTeure Rθ C pe (Te − T ) − ( × ure Rθ CTe ) − FT NOS CP ∂z ∂z FT CP NOS =
(40)
Collector (Sweep gas side)
∂Fjs
2π Ri s s ureC je × (1 − Rθ ) j = 1, 2,..., n' NOS ∂z s C s u s 2π Ri ∂T T s 2π Ri T s ∂CP = Tes re × × (1 − Rθ ) × C pe × (Tes − T s ) − s ( × ures × (1 − Rθ ) × CTes ) − ∂z FT CP NOS FT NOS CP ∂z =
(41)
Ergun equation (Pressure drop)
dP 150 µ (1 − ε ) 2 1.75 ρ (1 − ε ) 2 = 2 2 ur + u 3 φs d p ε 3 r dr φs d p ε
(42)
Additional relations
Rθ =
θ1 θ1 + θ 2
(43)
86 ACS Paragon Plus Environment
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Energy & Fuels
Table 11 Pseudo components
Molecular weight
n-P6 (C6H14)
86.178
Input plant (mole fraction) 0.0229
Output plant (kmol/hr) 71.84
Output model (kmol/hr) 70.98
Deviation (kmol/hr) 0.86
n-P7 (C7H16)
100.205
0.0292
46.65
46
0.65
n-P8 (C8H18)
114.232
0.0239
8.1
7.63
0.47
n-P9 (C9H20)
128.259
0.0156
1.15
1.25
-0.1
i-P6 (C6H14)
86.178
0.0232
216.06
216.06
0
i-P7 (C7H16)
100.25
0.0314
110.18
109.69
0.49
i-P8 (C8H18)
114.232
0.0338
22.75
22.67
0.08
i-P9 (C9H20)
128.259
0.0244
1.79
1.95
-0.16
ACH6 (C6H12)
84.162
0.0077
0.51
0.92
-0.41
ACH7 (C7H14)
98.189
0.0084
0.92
1.43
-0.51
ACH8 (C8H16)
112.216
0.0115
2.33
2.34
-0.01
ACH9 (C9H18)
126.243
0.0018
0.04
0.05
-0.01
ACP5 (C5H10)
70.135
0.0001
2.14
2.11
0.03
ACP6 (C6H12)
84.162
0.003
26
26.02
-0.02
ACP7 (C7H14)
98.189
0.0065
2.33
3.12
-0.79
ACP8 (C8H16)
112.216
0.0084
0.6
0.6
0
ACP9 (C9H18)
126.243
0.0012
0.01
0.02
-0.01
A6 (C6H6)
78.114
0.0086
205.84
206.39
-0.55
A7 (C7H8)
92.141
0.0109
453.93
454.33
-0.4
A8 (C8H10)
106.168
0.0021
163.02
163.47
-0.45
A9 (C9H12)
120.195
0.0026
323.66
324.46
-0.8
A8 (C8H10)
106.168
0.0015
113.62
113.4
0.22
A8 (C8H10)
106.168
0.0016
120.84
121.55
-0.71
A8 (C8H10)
106.168
0.0036
276.56
276.8
-0.24
H2
2.016
0.6226
10071.31
10090.82
-19.51
P1 (CH4)
16.043
0.0211
398.53
396.64
1.89
P2 (C2H6)
30.07
0.0231
399.16
397.72
1.44
P3 (C3H8)
44.097
0.0202
352.36
351.69
0.67
P4 (C4H10)
58.124
0.0106
189.21
189.93
-0.72
P5 (C5H12)
72.151
0.0035
71.06
71.69
-0.63
i-P4
58.124
0.0073
140.75
139.38
1.37
i-P5
72.151
0.0076
149.21
149.49
-0.28
87 ACS Paragon Plus Environment
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Table A 1 parameter
nM
value 1
dimension -
αM
26
kg cat. kg coke
nC M
1
-
αC
12.34
kg cat. kg coke
nA
1
-
αA
14.5
kg cat. kg coke
nC A
1
-
αC
10.18
kg cat. kg coke
k CM
0.384
kg coke × (kPa ) n1 m 1.5 kg cat. (kmol )0.5
kCA
1.386
Ec
4055
n1
0.94
-
n2
1.33
-
M
A
88 ACS Paragon Plus Environment
kg coke × (kPa ) n1 m 1.5 kg cat. (kmol )0.5 J mol