boosting the gasoline octane number in thermally coupled naphtha reforming heat exchanger reactor...

10
Boosting the gasoline octane number in thermally coupled naphtha reforming heat exchanger reactor using de optimization technique Mohammad Reza Rahimpour a,b,, Davood Iranshahi a , Ehsan Pourazadi a , Ali Mohammad Bahmanpour a a Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71345, Iran b Gas Center of Excellence, Shiraz University, Shiraz 71345, Iran article info Article history: Received 29 October 2010 Received in revised form 9 December 2011 Accepted 9 January 2012 Available online 9 February 2012 Keywords: DE optimization Octane boosting Thermally coupled reactor Catalytic naphtha reforming Hydrogenation of nitrobenzene abstract Since the refineries are benefitted mostly from the catalytic naphtha reforming units, these units are of highly interest. This importance would generate continuous evolution of the technology in both the pro- cessing and equipment pieces of the technology. One of the promising developments in the naphtha reformers would be thermal coupling of the reactors in a heat exchanger configuration. In this study, the DE optimization technique has been used as a powerful tool to find the best operating parameters in the naphtha coupled reactors. Twenty-six decision variables have been considered in this optimization problem. The endothermic dehydrogenation of the catalytic naphtha reforming is coupled with an exo- thermic hydrogenation reaction (hydrogenation of nitrobenzene to aniline) through a shell and tube heat exchanger reactor. Catalyst mass distribution, exothermic inlet temperature, operating pressures, num- ber of tubes in the exothermic side and the total molar flow rates are the most important optimized parameters. Maximizing the aromatics (octane number) in reformate is the best possible objective func- tion in this research. The results show a significant increase in hydrogen and aromatics production rate of the optimized reactor compared with the non-optimized one. Hydrogen and aromatics have increased 72 and 41 kmol/h, respectively. Besides, the exothermic tubes are considered for the third reactor in this work to maximize the aromatic and hydrogen production rates. These results are valuable for the proce- dure of designing a reactor in which both reactions are integrated. Ó 2012 Elsevier Ltd. All rights reserved. 1. Introduction 1.1. Naphtha reforming Considering the worldwide high octane gasoline demand, the catalytic naphtha reforming units attract increasing attention. Cat- alytic naphtha reforming process contains the reconstruction of low-octane hydrocarbons in the naphtha and production of more valuable high-octane gasoline components without changing the boiling point range. Naphtha and reformate are complex mixtures of paraffins, naphthenes, and aromatics in the C 5 –C 12 range. Cata- lytic reforming is carried out at 450–520 °C and moderate pres- sures (4–30 bar). The importance of the naphtha reforming process in the refinery would generate continuous evolution of the technology [1]. Primary attempts have been made to find a proper kinetic model for the catalytic naphtha reforming. A simple model was presented by Smith [2] in which naphtha reforming was considered as a combination of four main reactions. The kinetic model of Krane et al. [3] was one of the most elaborated models which considered all possible reactions in the process. Ramage et al. [4] developed a comprehensive kinetic model which attempted to consider the reactivity differences between particular raw materials and modify the process kinetics by incorporating deactivation of the catalyst due to coke formation. Also, a new ki- netic model developed by Weifeng et al. [5] involving 20 lumped components and 31 reactions for catalytic reforming process. The subdivision of 8-carbon aromatics and all the hydrocracking reac- tions of the paraffin lumps were considered in their model. Stijepovic et al. [6] developed a semi-empirical kinetic model for catalytic reforming. The most important reactions of the catalytic reforming process were taken into account in their kinetic model. One of the advantages of the presented kinetic model was high predictability of hydrogen and light gases concentration. Other scholars such as Shanyinghu and Zhu [7], Mazzieri et al. [8], Salusinszky [9], Towfighi et al. [10], Pieck et al. [11], Yan [12], Iran- shahi et al. [13,14] and Rahimpour et al. [15,16] investigated various ways of improving the efficiency of the reformers. 1.2. Process intensification (coupled reactors) Process intensification (PI) is currently one of the most signifi- cant trends in chemical engineering and process technology [17]. It is the strategy of reducing environmental emissions, energy and materials consumption. Innovations in catalytic reactors, 0016-2361/$ - see front matter Ó 2012 Elsevier Ltd. All rights reserved. doi:10.1016/j.fuel.2012.01.015 Corresponding author at: Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71345, Iran. Tel.: +98 711 2303071; fax: +98 711 6287294. Fuel 97 (2012) 109–118 Contents lists available at SciVerse ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel

Upload: dietrich-von-bismarck

Post on 15-Sep-2015

15 views

Category:

Documents


5 download

DESCRIPTION

Chemical Engineering

TRANSCRIPT

  • thatia, Ehira

    Accepted 9 January 2012Available online 9 February 2012

    Keywords:DE optimizationOctane boostingThermally coupled reactor

    ne

    cessing and equipment pieces of the technology. One of the promising developments in the naphthareformers would be thermal coupling of the reactors in a heat exchanger conguration. In this study,

    process in the renery would generate continuous evolution ofthe technology [1]. Primary attempts have been made to nd aproper kinetic model for the catalytic naphtha reforming. A simplemodel was presented by Smith [2] in which naphtha reformingwas considered as a combination of four main reactions. Thekinetic model of Krane et al. [3] was one of the most elaboratedmodels which considered all possible reactions in the process.

    scholars such as Shanyinghu and Zhu [7], Mazzieri et al. [8],Salusinszky [9], Towghi et al. [10], Pieck et al. [11], Yan [12], Iran-shahi et al. [13,14] and Rahimpour et al. [15,16] investigatedvarious ways of improving the efciency of the reformers.

    1.2. Process intensication (coupled reactors)

    Process intensication (PI) is currently one of the most signi-cant trends in chemical engineering and process technology [17].It is the strategy of reducing environmental emissions, energyand materials consumption. Innovations in catalytic reactors,

    Corresponding author at: Department of Chemical Engineering, School ofChemical and Petroleum Engineering, Shiraz University, Shiraz 71345, Iran. Tel.:

    Fuel 97 (2012) 109118

    Contents lists available at

    ue

    .e+98 711 2303071; fax: +98 711 6287294.Considering the worldwide high octane gasoline demand, thecatalytic naphtha reforming units attract increasing attention. Cat-alytic naphtha reforming process contains the reconstruction oflow-octane hydrocarbons in the naphtha and production of morevaluable high-octane gasoline components without changing theboiling point range. Naphtha and reformate are complex mixturesof parafns, naphthenes, and aromatics in the C5C12 range. Cata-lytic reforming is carried out at 450520 C and moderate pres-sures (430 bar). The importance of the naphtha reforming

    deactivation of the catalyst due to coke formation. Also, a new ki-netic model developed by Weifeng et al. [5] involving 20 lumpedcomponents and 31 reactions for catalytic reforming process. Thesubdivision of 8-carbon aromatics and all the hydrocracking reac-tions of the parafn lumps were considered in their model.Stijepovic et al. [6] developed a semi-empirical kinetic model forcatalytic reforming. The most important reactions of the catalyticreforming process were taken into account in their kinetic model.One of the advantages of the presented kinetic model was highpredictability of hydrogen and light gases concentration. OtherCatalytic naphtha reformingHydrogenation of nitrobenzene

    1. Introduction

    1.1. Naphtha reforming0016-2361/$ - see front matter 2012 Elsevier Ltd. Adoi:10.1016/j.fuel.2012.01.015the DE optimization technique has been used as a powerful tool to nd the best operating parametersin the naphtha coupled reactors. Twenty-six decision variables have been considered in this optimizationproblem. The endothermic dehydrogenation of the catalytic naphtha reforming is coupled with an exo-thermic hydrogenation reaction (hydrogenation of nitrobenzene to aniline) through a shell and tube heatexchanger reactor. Catalyst mass distribution, exothermic inlet temperature, operating pressures, num-ber of tubes in the exothermic side and the total molar ow rates are the most important optimizedparameters. Maximizing the aromatics (octane number) in reformate is the best possible objective func-tion in this research. The results show a signicant increase in hydrogen and aromatics production rate ofthe optimized reactor compared with the non-optimized one. Hydrogen and aromatics have increased 72and 41 kmol/h, respectively. Besides, the exothermic tubes are considered for the third reactor in thiswork to maximize the aromatic and hydrogen production rates. These results are valuable for the proce-dure of designing a reactor in which both reactions are integrated.

    2012 Elsevier Ltd. All rights reserved.

    Ramage et al. [4] developed a comprehensive kinetic model whichattempted to consider the reactivity differences between particularraw materials and modify the process kinetics by incorporatingReceived 29 October 2010Received in revised form 9 December 2011

    highly interest. This importance would generate continuous evolution of the technology in both the pro-Boosting the gasoline octane number inheat exchanger reactor using de optimiz

    Mohammad Reza Rahimpour a,b,, Davood IranshahiaDepartment of Chemical Engineering, School of Chemical and Petroleum Engineering, SbGas Center of Excellence, Shiraz University, Shiraz 71345, Iran

    a r t i c l e i n f o

    Article history:

    a b s t r a c t

    Since the reneries are be

    F

    journal homepage: wwwll rights reserved.ermally coupled naphtha reformingon technique

    hsan Pourazadi a, Ali Mohammad Bahmanpour a

    z University, Shiraz 71345, Iran

    tted mostly from the catalytic naphtha reforming units, these units are of

    SciVerse ScienceDirect

    l

    l sevier .com/locate / fuel

  • / FueNomenclature

    a catalyst activityA moles of aromatic formed, kmol h1

    Ac cross-section area of reactor, m2

    Cp specic heat capacity, kJ kmol1 K1

    dp particle diameter, mEd activation energy of catalyst, J mol1

    Ei activation energy for ith reaction, kJ kmol1

    Fi molar ow rate of component ihf heat transfer coefcient, W m2 K1

    keff effective thermal conductivity, W m1 s1

    kf1 forward rate constant for reaction (1),kmol h1 kgcat1 MPa1

    kf2 forward rate constant for reaction (2),kmol h1 kgcat1 MPa2

    kf3 forward rate constant for reactions (3),kmol h1 kgcat1 MPa2

    kf4 forward rate constant for reactions (4),kmol h1 kgcat1 MPa2

    3

    110 M.R. Rahimpour et al.which constitute the heart of the process technologies, are oftenthe preferred starting point. In this way, multifunctional auto-ther-mal reactor is an applicable idea in process intensication. Cur-rently, a promising eld of using multifunctional auto-thermalreactors is the coupling of endothermic and exothermic reactions.In this type of reactors, an exothermic reaction is used as the heatproducing source to drive the endothermic reaction(s) [18,19].During recent years, many researchers have focused on the auto-thermal reactors and their applications [20,21].

    The goal of this study, is to enhance maximum possible aromat-ics production rate (octane number) in reformate and hydrogenproduction in a catalytic reformer. A one-dimensional homoge-neous mathematical model has been considered in this study andmass and energy balance equations have been obtained to predictthe coupled conguration behavior. Many different aspects havebeen considered in the optimization process in order to achievethe best possible operating conditions. The main issue while utiliz-ing the traditional optimization techniques is that the global opti-mum conditions may not be achieved due to the sensitivity ofthese techniques to the initial given values. Therefore, more ad-vanced systems based on natural phenomena (evolutionary com-putation) such as simulated annealing (SA) [22], evolutionstrategies (ESs) [23], genetic algorithms (GAs) [24,25] and differen-

    Ke1 equilibrium constant, MPaKe2 equilibrium constant, MPa1

    L length of reactor, mMi molecular weight of component i, kg kmol1

    Mw average molecular weight of the feedstock, kg kmol1

    n average carbon number for naphthaNA molar ow rate of aromatic, kmol h1

    Ni molar ow rate of component i, kmol h1

    p moles of parafn formed, kmol h1

    Pi partial pressure of ith component, kPaP total pressure, kPaQ volumetric ow rate, m3 s1

    ri rate of reaction for ith reaction, kmol kgcat1 h1

    r rate of hydrogenation of nitrobenzene, mol kgcat1 s1

    R gas constant, kJ kmol1 K1

    sa specic surface area of catalyst pellet, m2 kg1

    T temperature of gas phase, KWi catalyst weight fraction of ith reactorYFi fraction of exothermic feed to the ith reactoryi mole fraction for ith component in gas phaseGreek letterse void fraction of catalyst bedl viscosity of gas phase, kg m1 s1

    q density of gas phase, kg m3

    qb reactor bulk density, kg m3

    us sphericityDH heat of reaction, kJ kmol1

    z axial direction

    Subscript and superscripta aromaticcal calculatedh hydrogeni number of componentsj number of reaction sides (1: endothermic, 2: exother-

    mic)n naphtheneNB nitrobenzene

    l 97 (2012) 109118tial evolution method (DE) [26] were invented. These methods aremore useful considering their essential advantages compared withtraditional techniques. In the present research, the operating con-ditions have been optimized using Differential Evolution (DE)method. By utilizing this method the hydrogen and aromatics pro-duction rate has been maximized and the decision variables havebeen assigned according to the dened objective function.

    2. Process description

    2.1. Conventional tubular naphtha reactor (CTR)

    A simplied process ow diagram for conventional catalyticnaphtha reforming is presented in Fig. 1. CTR conguration hasbeen described extensively in the previous research [27].

    2.2. Thermally coupled naphtha reforming reactor (TCR)

    A conceptual schematic for the coupled conguration is de-picted in Fig. 2. As it is illustrated, the tubes which contain the exo-thermic reaction are placed in a way to provide the necessary heatof the endothermic reaction in the shell side. The exothermic reac-tion occurs on the spherical commercial PdAl2O3 (1.1 wt.%)

    out outletp parafnTube tube sideShell shell side

    AbbreviationCTR Conventional tubular naphtha reactorFBP nal boiling pint, CIBP initial boiling pint, CLHSV liquid hourly space velocity, h1

    LOD length over diameterOTCR optimized thermally coupled reactorPt platinumRe rheniumRON research octane numberTBP true boiling point, KTCR thermally coupled reactorWHSV weight hourly space velocity, h1

  • Condenser

    / FueR-2

    M.R. Rahimpour et al.catalyst [28] while the catalyst of the naphtha reforming process iscomposed of 0.3% Platinum (Pt) and 0.3% Rhenium (Re) on analumina basis (Pt/Re/Al2O3). Moreover, unlike the previous re-search, the third reactor has been substituted by the mentionedthermally coupled reactor. The specication and details of bothexothermic and endothermic sides have been presented in previ-ous study [29]. Note that the molar ow rates of nitrobenzeneand steam are considered as those reported by Abo-Ghanderet al. [21]. Adding steam to the feed line prevents the cokeformation on the catalysts. It may reduce the temperature along

    H-1 H-3H-2

    Pump

    Naphtha Feed

    R-1

    Fig. 1. Schematic for conventional t

    Fig. 2. A conceptual schematic for thermR-3 Reflux DrumOff GasCompressor

    Hydrogen

    l 97 (2012) 109118 111the hydrogenation side and also reduce the exothermic reactionrate by diluting the reacting mixture.

    3. Reaction scheme and kinetic expressions

    3.1. Endothermic side (shell side)

    A kinetic model based on the Smiths model is taken into con-sideration [2]. Four dominant reactions are considered as follows:

    E-1

    Cooler

    V-1

    Sep-1

    Stabilizer

    Reboiler

    Vapor

    Reformate

    Reformate

    ubular naphtha process (CTR).

    ally coupled naphtha reactor (TCR).

  • 6. Differential evolution (DE) method

    Differential evolution (DE) is a heuristic approach based onoptimization evolutionary algorithms and random search methods.This technique was presented by Storn and Price [33] for the rsttime and soon it has been paid intensive attention as a fast, easyto use, and efcient method of optimization. Consequently, thismethod has been employed for several kinds of problems withcomputation intensive cost functions. DE is used for minimizationof nonlinear, non-differentiable, multimodal and continuous spacefunctions and is able to handle optimization problems involvingcomplex mathematical models. It is a self-organizing and stochas-tic direct search approach which is compatible for numerical opti-mization and is more likely to nd the global optimum of thefunction. These advantages make DE a useful and an applicable

    / Fue Dehydrogenation of naphthenes to aromatics

    NaphthenesCnH2n $ AromaticsCnH2n6 3H2 1 Dehydrocyclization of parafns to naphthenes

    NaphthenesCnH2n H2 $ ParaffinsCnH2n2 2 Hydrocracking of naphthenes to lower hydrocarbons

    NaphthenesCnH2n n=3H2 ! Lighter endsC1C5 3 Hydrocracking of parafns to lower hydrocarbons

    ParaffinsCnH2n2 n 3=3H2 ! Lighter endsC1C5 4The rate equations of these reactions are expressed in the

    previous studies [29].

    3.2. Exothermic side (tube side)

    Identication of coupled reactions is a controversial and a num-ber of requisites should be considered in order to nd appropriatereactions which can be thermally coupled. Our strategy here can besummarized as below:

    First and foremost, the exothermic reactions should be tookplace in higher temperature in order to have a desirable heat trans-fer from the exothermic side to the endothermic one while it worthto mention that the inlet temperature should also be nearly thesame. Secondly, both sides should have approximately the sameamount of heat generation and consumption rates (ri DHi). Be-sides, as long as the reactions are selected appropriately, the masstransfer as well as heat transfer can be carried out between shelland tube side by aid of membrane technology. This factor has beenconsidered here in order to use the produced hydrogen fromreforming and manage the exothermic reaction. This feature needsa consideration of pressures in both sides owing to having a desir-able mass transfer gradient (Shell side pressure is higher than thetubes). From commercial point of view, aniline is an important rawmaterial for synthetic of more than 300 different end productssuch as dyes, rubber chemicals, amino resins, and polyurethane(MDI). On the other hand, at the present time this product is im-ported and does not produced domestically. Hence, the hydrogena-tion of nitrobenzene to aniline has been considered as a part of ourstudy. The hydrogenation reaction of nitrobenzene to aniline isgiven by:

    C6H5NO2 3H2 ! C6H5NH2 2H2O 9The rate expression provided by Klemm et al. [30] is as follows:

    r k0KNBKH2PNBP

    :5H2

    1 KNBPNB KH2P:5H2 2 10

    The reaction rate constant (k0), equilibrium constants (Ki), theactivation energy (E) and standard heat of reaction (DH298K) areall discussed in the previous studies [29].

    4. Mathematical modeling

    In this study, a homogeneous one-dimensional model has beenconsidered. The basic structure of this model is composed of heatand mass balance conservation equations obtained by using ther-modynamic and kinetic relations, as well as auxiliary correlationsfor predicting physical properties. A differential element (Fig. 3)is considered along the axial direction inside the reactor congura-

    112 M.R. Rahimpour et al.tions to derive the mentioned equations. The mass and energybalance equations are written for uid phase in each side. The nalresults are summarized in Table 1. The positive sign in Eq. (14) isused for the endothermic side and the negative sign for the exo-thermic side.

    The following assumptions have been considered in thisresearch:

    (i) Steady state conditions.(ii) Plug ow pattern is considered.(iii) Adiabatic reactors have been used.(iv) Catalyst deactivation is not considered (since there is not a

    reliable deactivation rate for the hydrogenation of nitroben-zene through the literature under the industrial condition).

    (v) Ideal gas behavior on both sides.(vi) Negligible axial heat dispersion.(vii) Porosity is constant along the shell and tube sides.(viii) Pressures along both compartments are calculated based on

    Erguns equation [31].

    5. Steady state model validation for CTR

    The model validation has been investigated considering ob-served plant data for CTR at steady state condition. Table 2 pre-sents the plant data and predicted mole fractions of thecomponents at the output of the process. Model results showacceptable agreement with the plant data (also the model has beenvalidated for dynamic condition during 800 days of operation[27]). By utilizing the PONA Test in Stan Hop Seta apparatus, eachcomponent (parafn, naphthene and aromatic) has been analyzed.The aromatic is tested especially by ASTM 2159 equivalent to UOP273 method [32].Heat transfer

    FshellIz+dz FtubeIz+dz

    FtubeIzFshellIz

    dzEndothermic side

    (Naphtha reforming)

    Exothermic side(nitrobenzene hydrogenation)

    Fig. 3. A differential element along the axial length of TCR.

    l 97 (2012) 109118technique especially for chemical engineering relevant problems.DE has been successfully applied for solving several complex prob-lems and is now being identied as a potential source for more

  • Several decision variables are considered to be optimized in thisresearch. A complete list of optimized variables with their varia-tion range and optimized values has been presented in Table 3.

    The total mass of catalyst in both exothermic and endothermicsides has been assumed to be constant and the related optimuminlet molar ow rates have been calculated. As it can be seen, byproper design and catalyst mass distribution in the three reactorsof naphtha reforming, the inlet fresh naphtha feed can be increasedas high as 33.46 % compared with the CTR. In the naphtha reform-ing process, the hydrogen amount is very effective. The recyclestream shown in Fig. 1 mainly consists of hydrogen and light-end

    Table 1Mass and energy balance equations.

    Denitions Equations Nos.

    Fluid phase 1Acj

    dFi;jdz ri;jqb (11)

    dFtj P

    idFi;j (12)

    dMave;j dFtjF2tj

    _mj(13)

    1Acj

    CgpjdFtj Tj

    dz pDjAcj

    UTTube TShell qbP

    iri;jDHf ;i (14)

    dPdz 150l/2s d2p

    1e2e3

    QAc 1:75q/sdp

    1ee3

    Q2

    A2c

    (15)

    Boundary z 0; Fi Fi0; T T0 (16)

    M.R. Rahimpour et al. / Fuel 97 (2012) 109118 113accurate and faster optimization. Complementary descriptionregarding the DE approach can be found in previous publications[3437].

    7. Optimization

    In this study, DE method is used to maximize the aromatic,hydrogen and aniline molar ow rates as well as the aromatic inreformate mole fractions:

    Sum YOutAromatic= YOutParaffin YOutNaphthene YOutAromatic

    17

    and the sum of aromatic and hydrogen yields:

    Sum YOutH2

    = YInH2

    YOutAromatic

    = YInAromatic

    18

    where YOut and YIn are the mole fractions in the outlet of the thirdreactor and the inlet of the rst reactor, respectively. The con-straints of optimization step are determined as follows:

    X3

    i1WExothermici 1;

    X3

    i1WEndothermici 1 19

    Max TExoi ; TEndi

    < 810 K 20

    X3

    i1YExoFi 1 21

    H2=HC > 4:73 22where i represents the number of the reactors,Wi is the mass distri-bution of the catalysts in each reactor, Ti is the temperature in bothexothermic and endothermic sides and YFi is the fraction of exother-

    conditionsmic feedstock ow which enters to each reactor. The difference be-tween the inlet and outlet pressure in the shell side of optimizedreactor ought to be lower than that of in the CTR.

    Table 2Comparison between model prediction and plant data for fresh catalyst.

    Reactor no. Inlet temperature (K) Inlet pressure (kPa)

    1 777 37032 777 35373 775 3401

    Reactor no. Outlet temperature (K)

    Plant CTR TCR

    Non-optimized Optimiz

    1 722 726.13 760.77 751.952 753 751.75 801.19 796.493 770 770.83 799.59 808.52components. As a result, the amount of hydrogen entering thereactor is an effective parameter which determines the H2/HC ratioand can be adjusted in the process. Considering the increase in thenaphtha molar ow rate, in order to have a xed value of H2/HC ra-tio, the hydrogen mole fraction in the recycle gas should also in-crease. H2/HC molar ratio is one of the main parameters in thereforming units which should be controlled frequently and prop-erly. Low values accelerate the polymerization of the coke on thecatalyst surface. The outlet pressure of the compressor enteringthe rst reactor is also optimized. In order to reduce the coke for-mation on the surface of catalysts, it is generally attempted to in-crease the pressure while lower pressure increases the aromaticproduction [1]. The length to diameter ratio (LOD) is another effec-tive parameter in performance of the reactor that should be opti-mized. If this ratio increases, the pressure drop inside the reactoralso increases. However, at lower values of this ratio channelingoccurs. On the other hand, decreasing the length to diameter ratiohas the merit of processing excessive feed ow rate entering thereactor. The achieved result conrms that the total molar ow rateof the exothermic side has increased about 25.25% in comparisonwith the non-optimized conguration. In a short term, more ani-line is produced in the optimization process. The exothermic cata-lyst mass distribution of the third reactor is the least one owing toa small temperature drop in the shell side of the conventional reac-tor (naphtha side). As it is evident, the optimum inlet temperatureof rst reactor in the exothermic side is exactly the same as the in-let temperature of endothermic side which reduces the thermalloss in the coupled conguration.

    8. Results and discussion

    The results of the optimization process are categorized in twosections. First, the results of the shell side (naphtha reforming)are analyzed and then the exothermic side is considered.

    8.1. Endothermic side

    Aromatics have high octane numbers which is always above100 (except for benzene) and can be used to compensate the gas-oline octane loss due to elimination of MTBE [1,38]. Fig. 4 indicates

    Catalyst distribution (wt.%) Input feedstock (mol%)

    20 Parafn 49.330 Naphthene 3650 Aromatic 14.7

    Aromatic in reformate (mol%)

    Plant CTR TCR

    ed Non-optimized Optimized 35.1422 44.0261 42.4436 47.4499 62.1032 58.371957.7 56.0612 85.7659 88.3592

  • Table 3Optimized parameters and their values.

    No. Decision variable Min. Max. Optimized value

    Endothermic side (naphtha reforming)1 Total fresh naphtha feed to the 1st reactor (kmol/h) 266 360.00 3552 Hydrogen mole fraction in the recycle gas 0.65 0.81 0.763 Catalyst mass distribution for the 1st reactor (weight fraction) 0.1 0.5 0.224 Catalyst mass distribution for the 2nd reactor (weight fraction) 0.1 0.5 0.295 Catalyst mass distribution for the 3rd reactor (weight fraction) 0.1 0.5 0.496 Naphtha compressor outlet pressure (kPa) 2000 3703 35267 LOD of the 1st reactor 1.5 2.07 2.018 LOD of the 2nd reactor 1.5 1.8 1.629 LOD of the 3rd reactor 1.5 2.8 2.66

    10 Inlet naphtha feed temperature to the 1st reactor 677 777 777

    Exothermic side (nitrobenzene hydrogenation)11 Total molar ow rate for the exothermic side 100 1000 99212 Exothermic side molar ow rate to the 1st reactor (% of total molar ow rate) 0.1 0.5 0.4113 Exothermic side molar ow rate to the 2nd reactor (% of total molar ow rate) 0.1 0.5 0.4814 Exothermic side molar ow rate to the 3rd reactor (% of total molar ow rate) 0.1 0.5 0.1115 Catalyst mass distribution for the 1st reactor (weight fraction) 0.1 0.5 0.3316 Catalyst mass distribution for the 2nd reactor (weight fraction) 0.1 0.5 0.38

    114 M.R. Rahimpour et al. / Fuel 97 (2012) 109118successful aromatic production in the OTCR. The aromatic molarow rate increases 41 and 65 kmol/h compared with the TCR andCTR, respectively. The aromatic yield increases about 26.30% incomparison with the CTR. The related yield denition is as follows:

    FOut

    17 Catalyst mass distribution for the 3rd reactor (weight fraction)18 Exothermic side temperature to the 1st reactor (K)19 Exothermic side temperature to the 2nd reactor (K)20 Exothermic side temperature to the 3rd reactor (K)21 Inlet pressure of the exothermic side for the 1st reactor (kPa)22 Inlet pressure of the exothermic side for the 2nd reactor (kPa)23 Inlet pressure of the exothermic side for the 3rd reactor (kPa)24 Number of tubes for the 1st reactor25 Number of tubes for the 2nd reactor26 Number of tubes for the 3rd reactorYieldAromatic AromaticFFresh naphtha feed 23

    The related rate for aromatic production (reaction No. 1) is depictedin Fig. 5. The dimensions are considered in a way that the area undereach graph shows the aromatic production in the reactor. The totalareas for CTR, TCR and OTCR are 94.34, 118.08 and 158.93 kmol/h,respectively.

    The superiority of the OTCR for hydrogen production is demon-strated in Fig. 6. Hydrogen demand has increased recently in thereneries mainly due to: (a) Stricter legislation on sulfur content

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    20

    40

    60

    80

    100

    120

    140

    160

    Length of reactor (Dimensionless)

    Aro

    mat

    ic p

    rodu

    ctio

    n (k

    mole/

    hr)

    CTRTCROTCR

    Fig. 4. Total molar ow rate of produced aromatic compounds in the CTR,optimized and non-optimized TCR.in fuels increases the need for hydrotreating and (b) Processingof heavier crude oils and reduced market for heavy fuels is forcingto greater use of hydrocracking and the catalytic reformers are un-der pressure to response such an urgent need. The outlet hydrogenproduction in TCR is even less compared with the CTR case. Most of

    0.1 0.5 0.29777 800 777777 800 782777 800 79070 300 29370 300 28170 300 1091 1000 8821 1000 8811 1000 860the hydrogen is produced in the rst reactor which is due to thedehydrogenation reaction (No. 1).

    In addition to the temperatures of the reactors, the inlet H2/HCratio of the rst reactor should be controlled continuously. Thisratio has a dual role in the unit. First, the proper ratio will reducethe probability of coke formation on the catalyst surface and onthe other hand, lower ratios shift the reactions toward hydrogenand aromatic production. Accordingly, the superiority of usingmembrane reactors becomes noticeable. Membrane layers may ex-tract the extra hydrogen from the reaction side which reduces the

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    0.02

    0.04

    0.06

    0.08

    0.1

    0.12

    0.14

    Length of reactor (Dimensionless)

    Firs

    t rea

    ctio

    n ra

    te (k

    mole/

    kgca

    t.hr)

    CTRTCROTCR

    Fig. 5. Change of dehydrogenation reaction rate (reaction No. 1) along the threereactors of CTR, optimized and non-optimized TCR.

  • / FueM.R. Rahimpour et al.H2/HC ratio and increases the aromatic production, simulta-neously. H2/HC ratio along the reactors is shown in Fig. 7a. Thelight ends are other promising products in the reneries. These

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    50

    100

    150

    200

    250

    300

    350

    Length of reactor (Dimensionless)

    CTRTCROTCR

    0.998 1234.8

    235235.2235.4235.6

    Hyd

    roge

    n pr

    odu

    ctio

    n (k

    mole

    /hr)

    Fig. 6. Total molar ow rate of produced hydrogen.

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 14.5

    5

    5.5

    6

    6.5

    7

    7.5

    8

    8.5

    Length of reactor (Dimensionless)

    H2/

    HC

    mol

    ar ra

    tio

    CTRTCROTCR

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    50

    100

    150

    200

    250

    300

    350

    Length of reactor (Dimensionless)

    Ligh

    t end

    s pro

    duct

    ion

    (kmo

    le/hr

    )

    CTRTCROTCR

    a

    b

    Fig. 7. (a) H2/HC molar ratio and (b) the light ends production rate along the CTR,optimized and non-optimized TCR.l 97 (2012) 109118 115gases are used as LPG feed stock. It is claimed that more LPG canbe produced by using the OTCR (Fig. 7b).

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1720

    730

    740

    750

    760

    770

    780

    790

    800

    810

    Length of reactor (Dimensionless)

    Tem

    pera

    ture

    (K)

    CTRTCROTCR

    Fig. 8. Temperature prole of shell side (endothermic side) for three possible casestudies.

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1750

    760

    770

    780

    790

    800

    810

    820

    Length of reactor (Dimensionless)

    Tem

    pera

    ture

    (K)

    Endothermic sideExothermic side

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    1

    2

    3

    4

    5

    6

    7

    8

    9x 107

    Length of reactor (Dimensionless)

    react

    ion

    rate

    (kmo

    le/kg

    cat.h

    r)

    Endothermic heat of reactionTransfered heat

    a

    b

    Fig. 9. A comparison between (a) thermal proles of exothermic and endothermicsides and (b) the endothermic heat of reaction and transferred heat for optimizedTCR.

  • 0.35 0.4 0.45 0.5 0.55 0.60

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    5x 107

    Length of reactor (Dimensionless)

    Hea

    t flu

    x (k

    J/kg c

    at.h

    r)

    Transfered heatExothermic heat of reaction

    0.6227 0.6228

    1.24

    1.25

    1.26x 106

    b

    / Fue0 0.05 0.1 0.15 0.2 0.25 0.30

    Length of reactor (Dimensionless)

    x 1060.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5x 107

    Hea

    t flu

    x (k

    J/kg c

    at.h

    r)

    0.3255 0.326 0.32651

    1.05

    1.1

    1.15

    1.2

    x 106

    Transfered heatExothermic heat of reaction

    a

    116 M.R. Rahimpour et al.The thermal behavior of endothermic side is investigated inFig. 8. A rule of thumb for estimating the effect of temperature isthat the octane number increases by one unit for an increase inthe reaction temperature of catalyst 2.8 C [39].

    8.2. Exothermic side

    Fig. 9a compares the temperature proles in both exothermicand endothermic sides of OTCR and Fig. 9b clearly justies thebehavior of Fig. 9a for the endothermic side. At the rst reactor,the transferred heat from exothermic side to the endothermicone is lower compared with the consumed heat in the reformingprocess. Consequently, the temperature of shell side falls gradually.

    Fig. 10ac explains the generated and transferred heat from theexothermic side. Since the generated heat is more compared withthe transferred one at the entrance of the rst reactor, a peak isgenerated in the thermal prole of exothermic side (see Fig. 9a).Fig. 10bc magnies the thermal behavior in the other two reac-tors (the second one and the third one).

    Generally, Nitrobenzene has been used as the raw material inorder to produce aniline by utilizing xed-bed or uidized bedvapor phase reactors [40,41]. Over the last 145 years, aniline hasbecome one of the hundred most important building blocks in

    0.65 0.7 0.750

    2

    4

    6

    8

    10

    12

    14

    16

    18

    Length of rea

    Hea

    t flu

    x (k

    J/kg c

    at.h

    r)

    TransfExoth

    c

    Fig. 10. A comparison between the generated heat in the exothermic side and transferredreactor of optimized TCR.l 97 (2012) 109118chemistry. Aniline is known to be used in the production procedureof more than 300 different end products such as, isocyanates,

    0.8 0.85 0.9 0.95 1ctor (Dimensionless)

    0.9999 1

    1.67

    1.68

    1.69

    1.7

    1.71x 105

    ered heatermic heat of reaction

    heat from exothermic section in the (a) rst reactor, (b) second reactor and (c) third

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    Length of reactor (Dimensionless)

    Nitr

    oben

    zene

    con

    vers

    ion

    TCROTCR

    Fig. 11. (a) Nitrobenzene molar ow rate and (b) nitrobenzene conversion in theexothermic side of optimized TCR.

  • Finally, Table 4 is prepared to show the best possible resultsaccording to the optimization process and compares the conven-

    naph

    oduc

    / Fuetional, thermally coupled and optimized thermally coupledreactors.

    9. Conclusion

    Considering the higher thermal efciency as well as the loweroperational costs, utilizing thermally coupled conguration hasbeen given priority in this study. Differential Evolution (DE) meth-od has been used in order to obtain the best possible operatingconditions. Twenty-six decision variables have been assigned tocontrol every aspect of the process. Catalyst mass distribution, exo-thermic inlet temperature, operating pressures, number of tubes inthe exothermic side and the total molar ow rates are the mostimportant optimized parameters. By controlling these decisionvariables, the hydrogen and aromatic production rates have beenimproved compared with the non-optimized situation. Keepingthe H2/HC molar ratio in the acceptable range and consideringthe fact that the sum of the catalyst weight fraction for the threereactors should be unity are among the main constraints in theoptimization process. The obtained results imply that using theoptimized thermally coupled reactor conguration can be a com-pelling way to boost the hydrogen and aromatic production rate.rubber processing chemicals, dyes and pigments, agriculturalchemicals and pharmaceuticals [40]. Fig. 11 presents the nitroben-zene conversion vs. the dimensionless length of reactors. Note thatthe length of the reactors is not the same in TCR and OTCR. Itshould be mentioned that the mass of catalyst is the same for bothTCR and OTCR. However, the total mass of catalyst is distributed inthree reactor of OTCR while it is situated in the rst and secondreactors of TCR. The optimization allows us to increase the totalaniline production as high as 39.21% compared with non-opti-mized TCR conguration.

    The pressure drop in the CTR is about 400 kPa. Temperature in-creases along the TCR and consequently the viscosity and relatedlosses are increased. Since the length to diameter ratio of the opti-mized reactor is lower compared with the non-optimized reactor,the pressure drop in the OTCR decreases signicantly. This is favor-able and reduces the operational costs of recompression. The opti-mization program dened the value of 3526 kPa as the best outletpressure of the compressor for naphtha feed. Depletion in the pres-sure is just about 120 kPa for OTCR.Table 4Comparison between Conventional, optimized and non-optimized thermally coupled

    No. Reformate production (kmol/h) Aniline pr

    CTR TCR OTCR

    1 263.7 259.0 346.3 2 256.6 224.6 309.4 3 237.9 183.3 239.0

    M.R. Rahimpour et al.References

    [1] George JA, Abdullah MA. Catalytic naphtha reforming. 2nd ed. NewYork: Marcel Dekker; 2004.

    [2] Smith RB. Kinetic analysis of naphtha reforming with platinum catalyst. ChemEng Prog 1959;55(6):7680.

    [3] Krane HG, Groh AB, Shulman BD, Sinfeit JH. In: Proceedings of the 5th worldpetroleum congress, New York; 1959. p. 3951.

    [4] Ramage MP, Graziani KR, Krambeck FJ. 6 Development of mobils kineticreforming model. Chem Eng Sci 1980;35(12):418.

    [5] Weifeng H, Hongye S, Yongyou H, Jian C. A lumped kinetics model and its on-line application to a commercial catalytic naphtha reforming process. J ChemInd Eng 2006;57(7):160511.[6] Stijepovic MZ, Vojvodic-Ostojic A, Milenkovic I, Linke P. Development of akinetic model for catalytic reforming of naphtha and parameter estimationusing industrial plant data. Energy Fuels 2009;23:97983.

    [7] Shanyinghu F, Zhu XX. Molecular modeling and optimization for catalyticreforming. Chem Eng Commun 2004;191:50012.

    [8] Mazzieri VA, Pieck CL, Vera CR, Yori JC, Grau JM. Analysis of coke depositionand study of the variables of regeneration and rejuvenation of naphthareforming trimetallic catalysts. Catal Today 2008;133135:8708.

    [9] Salusinszky AL. Upgrading naphtha with matched catalyst. US Patent No.4806,230; 1989.

    [10] Towghi J, Zimmermann H, Karimzadeh R, Akbarnejad MM. Steam cracking ofnaphtha in packed bed reactors. Ind Eng Chem Res 2002;41:141924.

    [11] Pieck CL, Sad MR, Parera JM. Chlorination of PtRe/Al2O3 during naphthareforming. J Chem Tech Biotechnol 1996;67:616.

    [12] Yan H. The thermo-catalytic cracking of hydrocarbons: hybrid catalystconguration and the phenomena of hydrogen spill-over. A thesis; August2009.

    [13] Iranshahi D, Rahimpour MR, Asgari A. A novel dynamic radial-ow spherical-bed reactor concept for naphtha reforming in the presence of catalystdeactivation. Int J Hydrogen Energy 2010;35:626175.

    [14] Iranshahi D, Pourazadi E, Paymooni K, Bahmanpour AM, Rahimpour MR,Shariati A. Modeling of an axial ow, spherical packed-bed reactor for naphthareforming process in the presence of the catalyst deactivation. Int J HydrogenEnergy 2010. doi:10.1016/j.ijhydene.2010.08.124.

    [15] Rahimpour MR, Iranshahi D, Bahmanpour AM. Dynamic optimization of amulti-stage spherical, radial ow reactor for the naphtha reforming process inthe presence of catalyst deactivation using differential evolution (DE) method.Int J Hydrogen Energy 2010;35:7498511.

    [16] Rahimpour MR. Enhancement of hydrogen production in a novel uidized-bedmembrane reactor for naphtha reforming. Int J Hydrogen Energy 2009;34:223551.

    [17] ftankiewicz F, Moulijn JF. Re-engineering the chemical processing plant:process intensication. New York: Marcel Dekker; Inc.; 2004.

    [18] Zanr M, Gavriilidis A. Modelling of a catalytic plate reactor fordehydrogenationcombustion coupling. Chem Eng Sci 2001;56:267183.

    [19] Dautzenberg FM, Mukherjee M. Process intensication using multifunctionalreactors. Chem Eng Sci 2001;56(10):25167.

    [20] Patel KL, Sunol AK. Modeling and simulation of methane steam reforming in athermally couples membrane reactor. Int J Hydrogen Energy 2007;32:234458.

    [21] Abo-Ghander NS, Grace JR, Elnashaie SSEH, Lim CJ. Modeling of a novelmembrane reactor to integrate dehydrogenation of ethyl benzene to styrenewith hydrogenation of nitrobenzene to aniline. Chem Eng Sci 2008;63:181726.

    [22] Kirkpatrik S, Gelatt CD, Vechhi MP. Optimization by simulated annealing.Science 1983;220(4568):67180.

    [23] Schwefel HP. Numerical optimization of computer models. New York: JohnWiley & Sons; 1981.

    [24] Goldberg DE. Genetic algorithms in search, optimization, and machinelearning. Reading, MA: Addison-Wesley; 1989.

    [25] Davis L. Handbook of genetic algorithms. New York: Van Nostrand Reinhold;1991.

    [26] Price K, Storn R. Differential evolution a simple evolution strategy for fastoptimization. Dr. Dobbs J 1997;22:1824.

    [27] Khosravanipour Mostafazadeh A, Rahimpour MR. A membrane catalytic bedconcept for naphtha reforming in the presence of catalyst deactivation. ChemEng Process 2009;48:68394.

    [28] Amon B, Redlingshofer H, Klemm E, Dieterich E, Emig G. Kinetic investigations

    tha reforming reactor.

    tion (kmol/h) Nitrobenzene conversion

    TCR OTCR TCR OTCR

    24.69 28.79 86.2253 98.0425.83 33.35 90.2300 98.01 08.12 98.90

    l 97 (2012) 109118 117of the deactivation by coking of a noble metal catalyst in the catalytichydrogenation of nitrobenzene using a catalytic wall reactor. Chem EngProcess 1999;38:395404.

    [29] Iranshahi D, Bahmanpour AM, Pourazadi E, Rahimpour MR. Mathematicalmodeling of a multi-stage naphtha reforming process using novel thermallycoupled recuperative reactors to enhance aromatic production. Int J HydrogenEnergy 2010;35:1098493.

    [30] Klemm E, Amon B, Redlingshfer H, Dieterich E, Emig G. Deactivation kineticsin the hydrogenation of nitrobenzene to aniline on the basis of a cokeformation kinetics investigations in an isothermal catalytic wall reactor. ChemEng Sci 2001;56:134753.

    [31] Fogler HS. Elements of chemical reaction engineering. 2nd ed. NJ: Prentice-Hall Englewood Cliffs; 1992.

    [32] Operating Data of Catalytic Reformer Unit. Domestic Renery, 2005.[33] Storn R, Price K. Differential evolution a simple and efcient heuristic for

    global optimization over continuous spaces. J Global Optim 1997;11:34159.

  • [34] Babu BV, Munawar SA. Differential evolution strategies for optimal design ofshell-and-tube heat exchangers. Chem Eng Sci 2007;62:372039.

    [35] Babu BV, Angira R. Modied differential evolution (MDE) for optimization ofnon-linear chemical processes. Comput Chem Eng 2006;30:9891002.

    [36] Babu BV, Chakole PG, Syed Mubeen JH. Multiobjective differential evolution(MODE) for optimization of adiabatic styrene reactor. Chem Eng Sci2005;60:482237.

    [37] Babu BV, Sastry KKN. Estimation of heat transfer parameters in a trickle-bedreactor using differential evolution and orthogonal collocation. Comput ChemEng 1999;23:32739.

    [38] Kumar A, Gautami G, Khanam S. Hydrogen distribution in the renery usingmathematical modeling. Energy 2010;35:376372.

    [39] Rassev S. Thermal and catalytic processes in petroleum rening. NewYork: Marcel Dekker; 2003.

    [40] Ullmanns Encyclopedia of Industrial Chemistry, 6th ed., vol. 3, Germany:Wiley-VCH; 2003. p. 16175.

    [41] Diao S, Qian W, Luo G, Wei F, Wang Y. Gaseous catalytic hydrogenation ofnitrobenzene to aniline in a two-stage uidized bed reactor. Appl Catal A:General 2005;286:305.

    118 M.R. Rahimpour et al. / Fuel 97 (2012) 109118

    Boosting the gasoline octane number in thermally coupled naphtha reforming heat exchanger reactor using de optimization technique1 Introduction1.1 Naphtha reforming1.2 Process intensification (coupled reactors)

    2 Process description2.1 Conventional tubular naphtha reactor (CTR)2.2 Thermally coupled naphtha reforming reactor (TCR)

    3 Reaction scheme and kinetic expressions3.1 Endothermic side (shell side)3.2 Exothermic side (tube side)

    4 Mathematical modeling5 Steady state model validation for CTR6 Differential evolution (DE) method7 Optimization8 Results and discussion8.1 Endothermic side8.2 Exothermic side

    9 ConclusionReferences