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CFD predictions for cement kilns including flame modelling, heat transfer and clinker chemistry E. Mastorakos * , A. Massias 1 , C.D. Tsakiroglou, D.A. Goussis, V.N. Burganos, A.C. Payatakes 2 Institute of Chemical Engineering and High Temperature Chemical Processes, Foundation for Research and Technology, P.O. Box 1414, 26500 Patras, Greece Received 24 June 1997; received in revised form 20 April 1998 Abstract Clinker formation in coal-fired rotary cement kilns under realistic operation conditions has been modelled with a commercial axisymmetric CFD code for the gaseous phase including a Monte Carlo method for radiation, a finite- volume code for the energy equation in the kiln walls, and a novel code for the species and energy conservation equations, including chemical reactions, for the clinker. An iterative procedure between the predictions for the tem- perature field of the gaseous phase, the radiative heat flux to the walls, and the kiln and clinker temperature is used to predict the distribution of the inner wall temperature explicitly, including the calculation of heat flow to the clinker. It was found that the dominant mode of heat transfer between the gas and the kiln walls is by radiation and that the heat lost through the refractories to the environment is about 10% of the heat input and a further 40% is used for charge heating and clinker formation. The predictions are consistent with trends based on experience and limited measure- ments in a full-scale cement kiln. Ó 1999 Elsevier Science Inc. All rights reserved. Keywords: Industrial CFD; Rotary kilns; Clinker formation; Radiative heat transfer 1. Introduction The cement industry is a major consumer of energy, accounting in the USA for about 1.4% of the total fossil fuel consumption by industrial users [1], with a typical specific energy use of about 3.2 MJ/kg of clinker manufactured [2]. This is so because the reaction CaCO 3 CaO + CO 2 , the first step in clinker formation, is highly endothermic. Current trends to save energy in cement kilns focus on a more ecient recuperation of energy from the exhaust gases leaving the kiln, usually a rotating cylinder having length about 100 m length and diameter of about 5 m, and on the use of fuels of lower calorific value. The nature of the rotary kiln, which allows flame residence times of the order of 2–5 s and reaches temperatures as high as 2200 K, also makes cement kilns a competitive alternative to commercial incinerators for organic wastes and solvents [3]. To ensure that the formation of clinker is not aected in any way from alterations in the flame by the use of Applied Mathematical Modelling 23 (1999) 55–76 * Corresponding author. Tel.: +30 61 965 218; fax: +30 61 965 223; e-mail: [email protected]. 1 Also at Department of Mechanical Engineering, University of Patras, Greece. 2 Also at Department of Chemical Engineering, University of Patras, Greece. 0307-904X/99/$ – see front matter Ó 1999 Elsevier Science Inc. All rights reserved. PII: S 0 3 0 7 - 9 0 4 X ( 9 8 ) 1 0 0 5 3 - 7
Transcript
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CFD predictions for cement kilns including ¯ame modelling,heat transfer and clinker chemistry

E. Mastorakos *, A. Massias 1, C.D. Tsakiroglou, D.A. Goussis, V.N. Burganos,

A.C. Payatakes 2

Institute of Chemical Engineering and High Temperature Chemical Processes, Foundation for Research and Technology,

P.O. Box 1414, 26500 Patras, Greece

Received 24 June 1997; received in revised form 20 April 1998

Abstract

Clinker formation in coal-®red rotary cement kilns under realistic operation conditions has been modelled with a

commercial axisymmetric CFD code for the gaseous phase including a Monte Carlo method for radiation, a ®nite-

volume code for the energy equation in the kiln walls, and a novel code for the species and energy conservation

equations, including chemical reactions, for the clinker. An iterative procedure between the predictions for the tem-

perature ®eld of the gaseous phase, the radiative heat ¯ux to the walls, and the kiln and clinker temperature is used to

predict the distribution of the inner wall temperature explicitly, including the calculation of heat ¯ow to the clinker. It

was found that the dominant mode of heat transfer between the gas and the kiln walls is by radiation and that the heat

lost through the refractories to the environment is about 10% of the heat input and a further 40% is used for charge

heating and clinker formation. The predictions are consistent with trends based on experience and limited measure-

ments in a full-scale cement kiln. Ó 1999 Elsevier Science Inc. All rights reserved.

Keywords: Industrial CFD; Rotary kilns; Clinker formation; Radiative heat transfer

1. Introduction

The cement industry is a major consumer of energy, accounting in the USA for about 1.4% ofthe total fossil fuel consumption by industrial users [1], with a typical speci®c energy use of about3.2 MJ/kg of clinker manufactured [2]. This is so because the reaction CaCO3 ® CaO + CO2, the®rst step in clinker formation, is highly endothermic. Current trends to save energy in cementkilns focus on a more e�cient recuperation of energy from the exhaust gases leaving the kiln,usually a rotating cylinder having length about 100 m length and diameter of about 5 m, and onthe use of fuels of lower calori®c value. The nature of the rotary kiln, which allows ¯ame residencetimes of the order of 2±5 s and reaches temperatures as high as 2200 K, also makes cement kilns acompetitive alternative to commercial incinerators for organic wastes and solvents [3]. To ensurethat the formation of clinker is not a�ected in any way from alterations in the ¯ame by the use of

Applied Mathematical Modelling 23 (1999) 55±76

* Corresponding author. Tel.: +30 61 965 218; fax: +30 61 965 223; e-mail: [email protected] Also at Department of Mechanical Engineering, University of Patras, Greece.2 Also at Department of Chemical Engineering, University of Patras, Greece.

0307-904X/99/$ ± see front matter Ó 1999 Elsevier Science Inc. All rights reserved.

PII: S 0 3 0 7 - 9 0 4 X ( 9 8 ) 1 0 0 5 3 - 7

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such secondary liquid fuels, and to be able to comply with current and future restrictions on theamount of pollutants released in the atmosphere, there is a need to understand the details of the¯ame structure better and the heat transfer from the ¯ame to the solids charge.

Recently, theoretical modelling of the ¯ow ®eld and coal combustion in cement kilns [4±7] hasbeen achieved by the use of computation ¯uid dynamics (CFD) codes including radiative heattransfer. These results were the ®rst of their kind for cement kilns and showed that such codes canbe used for large-scale industrial furnaces with acceptable accuracy, as they reproduced experi-mentally observed trends concerning ¯ame lengths, oxygen consumption etc. A limitation wasthat coupling with the kiln and the clinker was not included and the boundary condition of walltemperature, a necessary input to the calculation because it a�ects the gas temperature and theheat ¯ux out of the solutions domain, was not predicted but was based on experimental mea-surements. CFD solutions for the gas phase are a major step forward, but alone are not adequateto model the rotary kiln comprehensively.

Details of the heat transfer in the refractories and the charge have been examined by variousauthors [8±11]. The charge (assumed usually to be well-mixed) is heated from the kiln walls byconduction, in addition to the heat radiated directly onto the exposed surface. In the mostcomplete theoretical e�orts, the 3-D heat conduction equation for the kiln walls (refractories) wassolved and coupled with a zone model for radiation heat transfer, in which radiation in the axialcoordinate was limited to two or three adjacent zones [10] or solved in detail [11]. The chemicalreactions that take place during clinker formation, however, were not taken into account and thegas phase was ®xed at a uniform temperature, and hence not treated to the necessary level ofaccuracy.

The solids charge, eventually the recipient of (part of) the energy released by combustion,undergoes chemical reactions to form the ®nal product, the clinker. These have been the subject ofextensive investigation in the cement chemistry literature, with a simpli®ed model for the majorfeatures described by [12]. In that work, the o.d.e.'s describing the axial evolution of the solidstemperature and composition were formulated and solved, but the gas and wall temperatures,which determine the heat ¯ux to the charge and hence the rate of clinker formation, were ap-proximated with one-dimensional models without detailed ¯ame calculations.

It is evident that none of the above theoretical models for the ¯ame, the walls, and the chargeare su�cient in their own right as truly predictive tools for rotary kiln operation. The local gastemperature (one of the outcomes of the CFD calculation) depends signi®cantly on the walltemperature. Clinker formation absorbs energy and hence depends on the local gas and walltemperatures, both of which depend on the ¯ame; the wall acts as an ``intermediary'' in the netheat transfer from the ¯ame to the clinker, with unavoidable heat loss to the environment de-pending on the refractory thickness. These interdependencies are crucial for the behaviour of thekiln and are intractable by the mathematical models found in the literature because emphasis wasput on calculating individual processes in isolation, with assumptions or very crude modellingmade about the rest.

In the present paper, we present a comprehensive and modular model for most of the processesoccurring in a rotary cement kiln, accomplished by coupling three separate models of the typesoutlined above. Our work treats the gas phase with a multi-dimensional CFD code for coalcombustion as in [4±7]; it solves the 3-D heat conduction equation in the kiln walls as in [10,11];and it solves for the well-mixed charge temperature and composition with a model similar to[9,12]. The three modules (¯ame, walls, charge) are iteratively calculated until convergence isachieved for the axial distribution of heat ¯ux incident on the refractories, which is the quantitythat (directly or indirectly) determines the gas temperature, the kiln temperature, and the chargetemperature and composition. The major advantage of the present over previous work lies

56 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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therefore in its completeness. This allows a better understanding of kiln operation, through thequanti®cation of energy ¯ows in various parts of the gas-kiln-clinker system and makes themethods used here applicable to other rotary kiln applications such as drying and incineration.

The particular objectives of this paper are to present a comprehensive model for the rotarycement kiln and to quantify the energy ¯uxes from the ¯ame to the clinker and the heat loss fromthe kiln. The rest of this paper is organised as follows. In Section 2, the various models andsolution methods are outlined and the results are presented and discussed in Section 3. Included isa comparison with limited measurements from a full-scale rotary cement kiln. The paper closeswith a summary of the most important conclusions.

2. Model formulation

2.1. An overview

Fig. 1 shows a cross-section of a cement rotary kiln. The rotation of the kiln induces a motionof the charge which keeps the latter approximately well mixed [10], an assumption we will adopthere. We will allow for the presence of clinker attached onto the kiln refractories by modelling thiscoating as a solid material of physical properties similar to those of clinker. We assume that thislayer's thickness is uniform along the kiln. This is probably an over-simpli®cation, but no relevantdata are available. It is important to understand the various energy ¯ows in a rotary kiln,schematically shown in Fig. 2, before proceeding with a description of the models.

The energy (per unit time) released by the combustion of coal (Qcoal) ¯ows out of the kiln withthe exhaust gases (DHgas) and is radiated (Qrad) and convected (Qconv) onto the kiln walls anddirectly onto the charge, while a small part is lost by radiation in the axial direction to the feedand exhaust ductworks (Qrad;1 + Qrad;2). The charge-kiln system absorbs energy (DHcl) from the

Fig. 1. De®nition of geometrical parameters and dimensions of the rotary kiln.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 57

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gas by radiation (Qrad) and convection (Qconv) and loses heat to the surroundings (Qloss). Thecalculation of the individual terms in the overall energy balances, i.e.

Qcoal � DHgas ÿ Qrad ÿ Qconv ÿ Qrad;1 ÿ Qrad;2; �1a�Qrad � Qconv � DHcl � Qloss �1b�

is performed here by solving, locally, the discretized energy for the gas, kiln, and clinker, asoutlined in the following sections.

2.2. The CFD code

The Favre-averaged equations of gas momentum, species concentrations, and energy aresolved by an axisymmetric commercially available CFD code (FLOW-3D) using a standard k±emodel, in conjunction with a radiation module (RAD-3D) [13]. Although the geometry is really

Fig. 2. Schematic indication of the separate parts comprising the rotary kiln model, together with the energy ¯uxes from

Eq. (1).

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three-dimensional and there exists an angular distribution of the wall temperature, we treat thegas phase as axisymmetric so as to be able to obtain solutions in reasonable amounts of time andin present-day workstations, as a full 3-D calculation to the required resolution would necessitateresort to supercomputers. Some features of the various sub-models used in FLOW-3D and of aspecial treatment for the wall boundary condition are given below.

2.2.1. Coal combustionCoal particles following a Rossin-Rammler size distribution (45 lm mean diameter, 1.3 ex-

ponent [6]) were tracked deterministically in the solution domain (i.e. without a stochasticcomponent) to reduce CPU time, but with the drawback of under-estimating dispersion [14]. Theparticles were allowed to devolatilise according to a two-reaction model and volatile combustionwas taken as in®nitely fast. It was found that details of the description of coal combustion did notproduce appreciable di�erences in the temperature pro®les obtained, with the ``standard'' set ofconstants of coal devolatilisation and pyrolysis in FLOW-3D giving reasonable results and similarto those in Ref. [5].

2.2.2. Radiation and convectionThe radiation intensity in the gas was calculated with a Monte-Carlo method with 80,000

particles with the RAD-3D module. The kiln was divided in non-uniform zones, seven in theradial direction and 19 in the axial (of size between 0.1 ´ 1.0 m and 0.2 ´ 5.0 m), in each one ofwhich the radiation intensity was assumed uniform. The output of the radiation module wasinterfaced to the ¯uid calculation internally to FLOW-3D, and externally to the codes for thewalls and clinker (see Sections 2.3 and 2.4). It is important to realize that the discretised zones ofthe radiation package should be much larger than the cells of the CFD grid, so that the zone willcontain many cells over which a temperature average can be formed. The relatively coarseresolution of the radiation zones and the statistical nature of the Monte-Carlo method impliedthat the radiation heat ¯ux in a zone could be inaccurate by up to about 10%, as determined by afew runs with ®ner zoning and more particles. Note also that the heat ¯ux incident on thebounding surfaces cannot be determined to a resolution ®ner than the zone size, and so theradiative heat ¯ux is calculated only at the centre of each of the 19 zones adjacent to the wall. Anabsorption factor of 0.15 mÿ1 was used for the gas throughout the whole domain, following Ref.[11]. Strictly speaking, the absorption factor is a function of the local gas composition andtemperature and hence should not be uniform. However, the gas composition varies only insidethe ¯ame, which occupies only a part of the kiln (see Section 3), and so the assumption of auniform absorption factor is reasonable. In addition, the present version of the software does notallow the automatic re-adjustment of this factor during the iteration process in FLOW-3D,where the local gas properties are calculated, and hence a constant and uniform absorptionfactor was necessary.

Finally, the convective heat transfer at the walls, a standard output from the FLOW-3Dpackage, was based on an expression for a turbulent boundary layer incorporated in a standard``wall function'' formulation, similar to the velocity boundary condition in the k±e model. Thevarious quantities used as input and calculated as output from FLOW-3D and RAD-3D areshown schematically in Fig. 3.

2.2.3. GridA non-uniform grid with 47 nodes in the radial and 155 in the axial direction was used and it

was considered su�cient after performing grid-independence studies. Grids of similar magnitudehave also been found adequate in Refs. [4±7]. Extra care was taken to resolve the region close to

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 59

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the coal burner well, due to the very high axial and swirl velocities there. Typical CPU times forthis grid on an HP 715/100 MHz workstation were 10 h.

2.2.4. Boundary conditionsIt is important to realize that a boundary condition for the wall temperature is needed both for

the gas phase and the radiation solvers. Below, we outline an approximate method for predicting,rather than prescribing [4±7], this temperature distribution for an axisymmetric grid.

Assume the angular distribution of the inner wall temperature Tw(Rin, x, u) were known. Then,to reduce the full 3-D problem to an ``equivalent'' axisymmetric one, a ®ctitious inner walltemperature, TRAD(x), calculated from

2pewT 4RAD�x� � ecl

ZH0

T 4cl�x� du� ew

Z2p

H

T 4w�Rin; x;u� du �2�

can be used as an ``e�ective'' boundary condition. TRAD(x) is a ``radiation-weighted'', azimuthallyaveraged temperature. The use of this temperature as the necessary boundary condition is mo-tivated by the expectation that radiation dominates heat transfer (con®rmed a posteriori; Sec-tion 3.4). It is hence expected that the overall energy ¯ows from the gas to the kiln in the full 3-Dproblem and in this ``e�ective'' axisymmetric one, are approximately equal. The use of Eq. (2)allows the calculation of the gas phase and radiation ®eld with an axisymmetric code, hencemaking the problem tractable using engineering workstations.

At the scale and temperatures of the kilns considered, the gas can be considered as opticallythick. Solutions (presented later) show that a mean path length (i.e. the mean length before all theenergy of a ``photon'' has been absorbed) is about 3.2 m, which is less than the kiln inner diameterof 4.1 m. This then implies that the radiation ¯ux incident on the inner wall depends on the localwall and gas temperatures strongly and only weakly on the temperatures of the walls at farther

Fig. 3. The structure of the commercially available FLOW-3D ± RAD-3D package. Shown are also the input and

output quantities.

60 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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axial or azimuthal locations. This gives credence to the axisymmetric approximation used for thegas phase. It also implies that the ``zonal method'' of Refs. [8±10] was probably su�cient, wherethe radiation incident on a surface was taken to be independent of axial locations farther than 1±2zone lengths.

2.3. Kiln temperature

The inner kiln surface temperature, Tw(Rin, x, u), is needed in Eq. (2) and is part of theoutcome of the solution of the kiln wall energy equation. In a coordinate system rotating with anangular velocity x, the latter becomes [10]

xo�.wcpTw�

ou� 1

roor

kwroTw

or

� �� 1

r2

oou

kw

oTw

ou

� �� o

oxkw

oTw

ox

� ��3�

subject to the boundary conditions

r � Rin;H < u6 2p: koTw

or� qrad�x� � qconv�x�; �3a�

r � Rin; 0 < u6H: koTw

or� qw±cl�x;u� � hw±cl Tcl�x� ÿ Tw�Rin; x;u�� �; �3b�

r � Rout; 0 < u6 2p: ÿkoTw

or� hsh Tsh ÿ T1� � � esh T 4

sh ÿ T 41

ÿ �: �3c�

Values for the conductivity, density, and speci®c heat capacity are taken from manufacturer'sinformation for the material of the refractories used in a real kiln [15]. The outer shell temperatureTsh�Tw(Rout, x, u) may depend on x and u.

Some comments on the above equations are due. In Eq. (3a), the azimuthal dependence of theheat ¯ux has been removed. As was mentioned previously, the ¯ow is considered optically thick,i.e., a wall surface element does not ``see'' the opposite wall across the ¯ame because the ¯ame istoo radiant and too wide. A calculation of qrad(x, u) therefore could be based on Tgas(r, x) and thelocal Tw(Rin, x, u), without need to include radiation from other angular positions. Since hereqrad(x) is taken from the axisymmetric RAD-3D solution, which was based on the azimuthallyaveraged temperature from Eq. (2), the resulting qrad(x) is, in a sense, an azimuthally averagedheat ¯ux. Eq. (3a) hence implies that we equi-distribute this heat ¯ux to all u. Note that neglect ofthe angular variation of qrad in Eq. (3a) is probably a bad approximation for kilns of small di-ameter or for colder ¯ames, where the full method of Refs. [10] or [11] should be preferred.

The heat transfer coe�cient between the kiln and the charge, hwÿcl, is important for the correctprediction of energy ¯ow and temperatures in the kiln, and is not very well known. A typical valueof 500 W/m2 K has been used for the results presented here [8]. The calculated Tw(r, x, u) andTRAD(x) depend on the choice of this coe�cient, but the predictions do not change qualitatively.The heat transfer from the shell to the atmosphere occurs, apart from radiation, through forcedand natural convection. The heat transfer coe�cient for natural convection was calculated in themanner of Ref. [11], with typical values about 5 W/m2 K for the present conditions. However,external fans that blow onto the shell are often employed in industry to avoid overheating, andsuch e�ects were modelled here by using a total hsh� 30 W/m2 K. The following values were usedfor emissivities: ew � ecl � 0:9 and esh � 0:8:

Eq. (3) was solved by an explicit ®nite volume method, after neglecting azimuthal and axialconduction because the radial gradients in the kiln are much steeper. A non-uniform grid with 50nodes in the radial and 19 in the axial direction was used, with adequate radial resolution at theinner surface to follow the fast temperature changes there caused by the periodic surface exposure

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 61

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to the ¯ame due to rotation. The small step (Du� p/100) that was used for the same reason, alongwith the large thermal inertia of the kiln, required CPU times of the order of 2 h to ensure that thekiln wall temperature converged.

2.4. Clinker

The ®nal part of the model for the kiln concerns the clinker temperature and compositionconservation equations, which become, considering only axial gradients and neglecting conduc-tion:

cpVcl

d�.clTcl�dx

� ÿ Lwcl

HAcl

ZH0

qw±cl�x;u�du� Lgcl

Acl

qrad�x� � qconv�x�� � ÿXNsp

i

ri hf0;i � cpT

� �; �4�

Vcl

d�.clYi�dx

� ri; �5�

Vcl

d.cl

dx� ÿrCO2

; �6�where Acl is the cross-sectional area covered by the charge ¯owing at a velocity Vcl, both assumedconstant, Lgcl� 2 Rin sin(H/2) the chord of the sector covered by the charge (Fig. 1), Lwcl�H Rin,Nsp the number of chemical species, and ri the net rate of formation (in kg/m3s) of species i. Thedensity of the charge decreases Eq. (6) due to mass loss to CO2 during calcination, and its initialvalue was chosen such that the total mass ¯ow rate is equal to .clVclAcl. Note that .cl is not thematerial density of the charge, as the charge can be thought to be composed of loosely-packedparticles, but a bulk density. We also neglect conduction in the charge because we believe thatanything less than examination of the actual granular ¯ow patterns in the charge [10] is an ad hocdescription that does not add much to the reliability of the model. The charge is assumed to becomposed of CaCO3, CaO, SiO2, Al2O3, Fe2O3, C2S, C3S, C3A, and C4AF, with the last fourspecies denoted by a special notation used by cement chemists for the complex salts formedduring clinkerisation. We assume the following chemical reactions [12]:

The pre-exponential factors and activation temperatures used in the Arrhenius expressionsabove are chosen by trial and error to give the expected composition of the charge at the exit ofthe kiln, with the exception of the activation energy for CaCO3 decomposition which was takenfrom Ref. [16]. We emphasize that these reactions are ad hoc models. In reality, chemical re-actions in the solid phase occur in the interface between crystals of the various species and aredi�usion limited [17], but detailed treatment of clinker chemistry is beyond the scope of thiswork.

Reaction (III), considered to be the ®nal step in clinker formation, occurs at high temperaturesand only at the presence of liquid phase. Melting of the clinker was modelled by also solving forthe liquid fraction, Yfus,

(I) CaCO3 ! CaO� CO2 k � 108 exp�ÿ175728=RT�(II) CaO� 2SiO2 ! C2S k � 107 exp�ÿ240000=RT�(III) CaO� C2S! C3S k � 109 exp�ÿ420000=RT�(IV) 3CaO�Al2O3 ! C3A k � 108 exp�ÿ310000=RT�(V) 4CaO�Al2O3 � Fe2O3 ! C4AF k � 108 exp�ÿ330000=RT�

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LfusVcl

d�.clYfus�dx

� R:H:S: of Eq: �4�� � �7�

if Tcl becomes greater than or equal to the fusion temperature Tfus, with Tfus� 1560 K. An upperlimit of Yfus� 0.3 was taken [17], above which Eq. (7) was neglected.

The ordinary di�erential equations, Eqs. (4)±(7), were integrated with the Gear method. The®nite volume code for the kiln temperature (Section 2.3) and the code for the clinker were solvediteratively (Fig. 4), a procedure that is necessary because of the coupling through the wall-clinkerheat ¯ux qw±cl(x, u).

2.5. Final coupling

The full problem (gas, kiln, charge) was solved by an iteration scheme. Starting from auniform distribution of TRAD, the gas phase was solved to give the axial distributions of qrad(x)and qconv(x). These were then used in Eqs. (3)±(7), whose solutions resulted in a new estimate ofTRAD(x) through Eq. (2). The FLOW3D-RAD3D run was then repeated with the new boundarycondition, introduced into the program in the form of coe�cients of a sixth order polynomial ®t.An under-relaxation factor of less than 0.5 between the successive estimates of TRAD(x) wasfound to be necessary, due to the large sensitivity of the radiation heat ¯ux to the wall tem-perature. Typically, about 10 iterations between these steps were needed to achieve convergenceof the inner wall temperature (de®ned when successive iterates did not change by more than 40K), amounting to a total CPU time of the order of 10 days on an HP 715 workstation. Fig. 5shows the convergence history of TRAD(x) starting from a uniform value (1600 K) to the ®nalpro®le.

Fig. 4. The KILN-CLINKER package for wall temperature and charge temperature and composition.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 63

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2.6. Kiln conditions

Operating conditions and values for some of the parameters used are given in Tables 1±3.These values are typical of cement rotary kilns.

3. Results and discussion

In this section we present, ®rst, details of the predicted aerodynamic patterns together withinformation on the ¯ame structure. Presentation of the temperature distributions in the kiln re-fractories and the evolution of clinker composition follows. The section closes with a discussionon overall energy balances for the kiln and on possible model improvements.

3.1. Flame structure

Fig. 6 shows a contour plot of temperature, with the radial coordinate exaggerated for clarity.The coal ignites about 1 m from injection and slightly o�-axis and the maximum ¯ame temper-ature (of about 2400 K) is reached about 40 m downstream, in accordance with experience [15].The longest time for complete particle burnout was about 1.4 s, corresponding to 45 m from theburner. Radial pro®les of temperature (Fig. 7) show that there is signi®cant non-uniformity of the

Fig. 5. The distributions of TRAD for successive iterations between the FLOW-3D ± RAD-3D and KILN-CLINKER

code solutions.

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temperature, which however diminishes downstream with the exit pro®le becoming essentially¯at. It is also evident that there exists a thermal boundary layer, with the gas adjacent to the wallbeing colder than the wall for up to 30 m from the coal nozzle. This implies that in this region heattransfer by convection is negative (i.e. towards the gas), a point discussed in more detail inSection 3.4.

Table 2

Clinker composition (mass fractions)

Farine Kiln inlet Kiln exit

m (kg/s) 50.374 39.815 32.775

T (K) ) 1100 1785

CaCO3 0.7947 0.40218 0

CaO 0 0.33801 0.0229

SiO2 0.1434 0.18143 0

Al2O3 0.0349 0.0442 0

Fe2O3 0.0270 0.03416 0

C2S 0 0 0.1808

C3S 0 0 0.5981

C3A 0 0 0.0731

C4AF 0 0 0.1242

Calcination factor 0 0.6 1.0

The calcination factor is the percentage of CaCO3 in the farine that has been transformed into CaO.

Table 1

Air and coal-particle inlet conditions

Axial Transport Swirl Secondary Coal

m (kg/s) 2.253 1.759 2.910 45.930 4.0

U (m/s) 77.1 36.5 76.1 12.73 36.5

V (m/s) )20.7 0 63.9 0 0

W (m/s) 0 0 112.8 0 0

T (K) 318 383 318 1273 383

Table 3

Material properties and other parameters

x (rad/s) 0.5

Vcl (m/s) 0.035

T1 (K) 300

hsh (W/m2 K) 30

hw±cl (W/m2 K) 500

ew; ecl 0.9

esh 0.8

cp (clinker) (kJ/kg K) 1.5

.cl (kg/m3) 1200

Lfus (kJ/kg) 418.4

cp (wall) (kJ/kg K) 1.5

.w (kg/m3) 1600±3000

kw (W/m K) 0.6±3.0

Coal heat release (kJ/kg) 25475

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There exists a recirculation zone with length about one burner diameter immediately down-stream of the burner exit (Fig. 8), which does not serve for ¯ame stabilisation as in swirl-stabilised¯ames [7], because here the ¯ame ignites further downstream. However, it may be important whenliquid fuel is being used, and so the ®ne detail of the grid close to the burner should be em-phasized. The ®rst few metres from the burner involve very high shear and high turbulent energy

Fig. 7. Radial pro®les of the gas temperature at various locations along the kiln.

Fig. 6. Gas temperature contours. The radial coordinate has been exaggerated for clarity.

66 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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production and this is yet another reason to emphasize grid re®nement. Typical predicted valuesof k and e in the region of volatiles combustion (x� 10 m, r� 1 m) are 24.3 and 142 m2/s3, re-spectively. The large-scale turbulent time is then 171 ms and the Kolmogorov time scale 1.1 ms.Combustion of volatiles occurs at a time scale of the order of 0.1 ms (typical of hydrocarbonfuels), which is an order of magnitude shorter than the small-scale turbulent time in the kiln.Therefore it does not seem necessary to include ®nite-rate kinetics for combustion in this ¯ow andthe ``mixed-is-burnt'' approximation is reasonable.

3.2. Kiln temperature distributions

The calculated gas temperature at the centreline, the temperature TRAD(x), and the clinkertemperature are compared in Fig. 9. The peak gas temperature is located between 25 and 40 m,

Fig. 8. Velocity vectors in the near-burner region. The shade of each vector denotes the magnitude of the swirl com-

ponent of velocity.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 67

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where the refractory inner surface temperature also peaks. The clinker is, surprisingly, hotter thanthe wall for the last few metres before it exits the kiln. The heat ¯ux incident on the refractory byradiation is between 1 and 2 orders of magnitude higher than that by convection (Fig. 10) and thetotal heat transfer for the ®rst 10 m of the kiln is towards the gas. The signi®cance of this ob-servation is discussed later.

The energy ¯ux due to convection is found to be a very small part of the overall energy ¯uxfrom the ¯ame to the kiln (Fig. 10). The small contribution of convection predicted here iscontrary to the conclusion of Ref. [11]. In that work, the gas temperature used for the calculationof convective heat transfer was an average over the kiln cross section, and hence much higher thanthe temperature in the vicinity of the wall due to the contribution of the ¯ame which lies close tothe axis. Here, we have used the more accurate heat transfer coe�cient based on local values oftemperatures and gas velocity and turbulent kinetic energy, and we therefore expect our result tobe more exact.

The predicted wall temperature is inhomogeneous in all directions. Fig. 11 shows that, asthe kiln rotates, the wall is successively heated by the gas when exposed to the ¯ame and coolsby supplying heat to the clinker. This is so for most of the kiln length with a typical angulartemperature variation of about 100 K. In contrast, close to the burner, the wall gains heatfrom the clinker for (0 < u < p/2), and loses heat to the gas when exposed (p/2 < u < 2p).

Fig. 9. Axial distributions of the gas temperature at the centreline, the ®ctitious temperature TRAD (Eq. (2)), and the

clinker temperature.

68 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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It may happen that the wall and clinker temperatures are equal and then there is no azimuthalvariation (Fig. 11, x� 17.5 m). Note that even though this temperature variation may beconsidered small, one needs to calculate the full 3-D inner wall temperature distribution tobe in a position to calculate the heat ¯ux from the wall to the clinker (which occurs in therange 0 < u < p/2).

Fig. 12 shows that the region of variations in the angular direction extends only about 1 cminto the wall (Fig. 12(b)) because of the large speci®c heat capacity of the solid, with the outer(shell) temperature independent of u. The wall temperature radial distribution depends on theaxial distance because the gas temperature, the incident radiation, and the properties of the re-fractory material change. Accurate predictions require an accurate knowledge of the thickness ofthe clinker coating attached on the refractories; here, we have treated this coating as a material ofproperties similar to those of clinker and with uniform thickness. The reliability of the predictionswill be improved, however, by using experimental data concerning the real physical properties andthe thickness distribution of this coating layer.

Finally, Fig. 13 shows that the outer shell temperature peaks at the ¯ame region and follows,approximately, experimental trends [15]. An exact comparison is not meaningful because theouter kiln shell has variable steel thickness, emissivity (due to shell colouration), and heat transfercoe�cient (due to the spacing of the blowers), and the kiln has variable refractory thickness (dueto erosion by the clinker), contrary to the assumptions used here. The full-scale kiln also shows

Fig. 10. Axial distributions of the radiative and convective heat ¯ux from the gas to the kiln-clinker system calculated by

FLOW3D ± RAD3D.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 69

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angular ¯uctuations of the shell temperature up to �100 K attributed to di�erential coating andrefractory erosion [15]. We believe therefore that the agreement in Fig. 13 is as good as can beexpected considering the complexity of the real kiln.

The predictions presented in this section support the following picture of heat transfer path-ways inside the kiln. For most of the kiln length, the charge is being heated by radiation from the¯ame and by heat conduction from the walls, as the charge is colder than the refractories. As thekiln rotates, the refractory gains heat when exposed to the ¯ame and then supplies it to the clinker(Fig. 11). This ``regenerative'' action of the wall has been postulated in Refs. [9,10] and was re-produced in the present results. However, an opposite energy ¯ow occurs close to the burner(Fig. 11, small x). The gases here are not yet su�ciently hot and hence do not supply energy toneither the refractories nor the charge. In this region, the walls gain heat by the oncoming chargeand hence stay hotter than they would be in the absence of the solids. The walls and the chargesupply heat to the gas by both convection and radiation. We can identify this as a ``negativeregenerative'' action, and is sustained by the energy absorbed by the clinker in the higher tem-perature region of the kiln (x > 15 m). Overall, the clinker absorbs heat at x > 15 m, and gives asmall part of it back to the gas at 0 < x < 15 m.

This interaction is not straightforward and could not have been anticipated easily. It impliesthat modi®cations to the ¯ame, for example by substituting solid by liquid fuel, may have aprofound e�ect on the ®nal clinker temperature by altering the heat ¯ux distributions. The detailo�ered by the present comprehensive model will be helpful in evaluating such changes on the kiln.

Fig. 11. Azimuthal distributions of the inner surface wall temperature for various axial locations.

70 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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Fig. 12. (a) Radial distributions of the wall temperature at x� 22.5 m for various u. (b) The region close to the inner

surface shown in more detail.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 71

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3.3. Clinker temperature and composition

The clinker temperature (Fig. 9) peaks approximately at the axial location where the highest¯ame temperature is attained, and the clinker exists the kiln at about 1780 K, a value close toexperimental measurements in cement kilns [15]. The initial and ®nal clinker compositions areshown in Table 2 and are close to operational values in the real kiln [15]. Axial distributions of thevarious clinker constituents (Fig. 14) show that it takes about 25 m from the solids inlet forcomplete calcination and a further 10 m for the creation of C2S, C3A, and C4AF. The ®rst liquidphase is found at x� 50 m and liquefaction is completed very shortly afterwards, a prediction thatis consistent with experience [17]. The clinkerisation reaction (R-III) has been assumed in themodel to begin when liquid appears, and it is evident from Fig. 14 that clinkerisation requiresalmost the whole of the remaining length to be completed. The predictions are, on the whole,consistent with experience from cement kiln operation, which implies that the chemical andphysical parameters used here have realistic values.

3.4. Global energy balances

Global energy balances can be readily calculated from the solutions for the gas phase (byFLOW-3D and RAD-3D) and the kiln-charge system, and are presented in Table 4. The CFDcode, in conjunction with the radiation module, conserve energy to about 2%. This error, con-sidered small, is attributed mostly to the error caused by the zone discretisation in RAD-3D and

Fig. 13. The outer kiln temperature compared with measurements from a full-scale cement kiln [15].

72 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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the ®nite number of particles in the Monte-Carlo calculation and can be improved at the expenseof CPU time. The accuracy of the kiln-clinker calculation is worse, with an error of about 10% ofthe energy input to the kiln-clinker system (Qrad + Qconv). This may be due to the cumulative error

Fig. 14. Mass fraction distributions of the various chemical constituents and the liquid fraction of the charge.

Table 4

Global energy balances for the CFD grid and the kiln-clinker combination

Gas (MW)

Qrad,1 )2.47

Qrad,2 )2.72

Qrad )57.12

Qconv 0.04

Qcoal 101.2

DHgas 41.25

Balance 2.32

Kiln-clinker

Qrad 57.12

Qconv )0.04

Qloss )10.45

DHcl 40.99

Balance 5.64

Refer to Fig. 2 for the de®nition of the energy ¯ows.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 73

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caused by the long transient followed until a converged solution is obtained to Eq. (3), and maybe improved by a more accurate implicit solver.

Some interesting conclusions concerning energy use in the cement rotary kiln can be formed bythe results in Table 4. About 40% of the energy released by combustion is needed for chargeheating and clinker formation and about 10% is lost through the refractories to the atmosphere.Most of the remaining essentially ¯ows out of the kiln with the exhaust gases, a part of which isrecovered in the pre-calciner and cyclones outside the kiln. It is clear that it is impossible topredict accurately the local gas temperature, and hence pollutant formation in future studies,without resort to the comprehensive model presented here that treats in detail the inner kiln walland charge temperatures.

3.5. Discussion

The results of the comprehensive model for rotary cement kiln operation presented here arereasonable and reproduce experimentally observed trends. The major advantage of this work overprevious modelling e�orts lies in the inclusion of most physical processes occurring in the kiln. Inparticular, the inner wall temperature, a quantity of the utmost importance in determining the gastemperature and the heat ¯ux to the clinker and hence clinker formation, was predicted, ratherthan prescribed using experimental data. This particular feature makes the present model trulypredictive.

We have included a method to reduce the full 3-D problem to an ``equivalent'' axisymmetricone for the aerodynamics (Eq. (2)), which allows solutions to be obtained with current work-stations. The modular nature of the model, i.e. separate codes for the aerodynamics, radiation,kiln, and charge, implies that it can be used also for other rotary kiln applications (e.g. incin-eration and drying) with modi®cations only to the appropriate module. For example, incinerationof solid waste may be modelled with the present codes but with appropriate chemistry introducedin Eqs. (5) and (6).

Detailed comparison with experimental data is very di�cult because there are hardly anyavailable measurements and was hence limited to empirical data provided by a local cementcompany [15]. The comparison, as indicated previously, showed that the exit clinker compositionand temperature are within industrial experience (Table 2), the exhaust gas composition is close towhat is measured at the factory stack (after allowing for ``false air'' dilution), and the kiln shelltemperature is within the range of the measurements (Fig. 13). This agreement suggests that themodel is an accurate representation of the process.

Improvements are needed in various parts of the model to achieve predictions of higher ac-curacy. The correct thickness of the refractories (i.e. refractory plus attached clinker) should beestablished, because this a�ects the heat loss through the kiln walls to the surroundings and hencethe outer shell temperature. Detailed comparison should be made with shell temperature mea-surements in a kiln with new refractories (so that non-uniformities is the coating thickness areavoided). Proper values of the physical properties (heat capacities, densities, conductivities) of thewall materials should be used; the largest uncertainty concerns the assumed properties of theclinker coating. The emissivity of the inner wall surface and the absorption coe�cient of the gasesshould be examined more closely, as they a�ect the radiative heat ¯ux incident on the kiln, andhence can a�ect the wall temperature. The temperature of the clinker depends on the speci®c heatcapacity used and so extra care should be taken at its accurate evaluation. Knowledge of in-¯amelocal temperature and species composition would also be very useful to validate the CFD code,although measurements in such a hostile environment are clearly very di�cult to accomplish.Finally, clinker chemistry and charge motion are areas where improvements could be made.

74 E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76

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Notwithstanding all these potential improvements and the uncertainties involved in themodels, the overall behaviour is at least qualitatively correct because all the energy paths in thekiln have been modelled to adequate detail. Important quantities such as clinker exit composition,shell temperature, and exhaust gas composition are predicted to acceptable accuracy. It is ex-pected that the model will prove very useful to industry in many situations, such as with alter-ations in the burner, fuel type, quality and quantity, in the level of pre-calcination (Table 2) orsolids ¯ow rate, etc. The kiln operator must ensure that the ®nal clinker composition is still ac-ceptable and the present comprehensive model can be of help in this direction.

4. Conclusions

Clinker formation in coal-®red rotary cement kilns under realistic operation conditions hasbeen modelled with special emphasis given to the heat exchange between the coal ¯ame and thekiln, the heat exchange between the kiln and the counter-¯owing solids, and the chemical reac-tions that transform the solids into the ®nal product (the clinker). An axisymmetric CFD code(the commerical package FLOW-3D) that includes a Monte-Carlo method for radiation has beenused for the gaseous phase. The temperature of the kiln wall has been calculated with a ®nite-volume heat conduction code, and the species and energy conservation equations for the clinkerhave also been formulated and solved. An iterative procedure between the predictions for thegaseous temperature ®eld, the radiative heat ¯ux to the wall, and the kiln and clinker tempera-tures was used to calculate the distribution of the inner wall temperature explicitly, in contrast toprevious modelling e�orts that used such information from experiments. Integration over thetangential coordinate resulted in an axial distribution of an ``e�ective'' inner wall temperature,used as the necessary boundary condition to the CFD code. This procedure makes the calculationof heat ¯ow to the clinker possible, and also allows the approximate treatment of a 3-D problemwith an axisymmetric CFD code.

The results show that radiation accounts for most of the heat transfer between the gas and thekiln walls, while the heat loss through the refractories to the environment accounts for about 10%of the heat input. The chemical reactions and heating of the charge absorb about 40% of theenergy of combustion; it is hence imperative that these are accounted for. The predictions areconsistent with trends based on experience and available measurements from a full-scale cementkiln.

Acknowledgements

This work has been funded by the Greek Secretariat for Science and Technology, ProjectEPET-II/649. Sincere thanks are due to Mr.P. Panagiotopoulos of TITAN S.A., Greece, forguidance and data concerning cement kilns.

References

[1] S.R. Turns, An Introduction to Combustion, Concepts and Applications, McGraw-Hill, New York, 1996.

[2] V. Johansen, T.V. Kouznetsova, Clinker formation and new processes, Presented at the Ninth International

Congress on the Chemistry of Cement, India, 1992; also RAMBOLL Bulletin No. 42, 1993.

[3] Basel Convention, UNEP Document No. 93-7758, 1993.

[4] N.C. Markatos, Mathematical modelling of single and two-phase ¯ow problems in the process industries, Revue

de l'Institut Francßais du P�etrole 48 (1993) 631.

E. Mastorakos et al. / Appl. Math. Modelling 23 (1999) 55±76 75

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[5] T. Avgeropoulos, J.P. Glekas, C. Papadopoulos, Numerical simulation of the combustion aerodynamics inside a

rotary cement kiln, in: Pilavachi (Ed.), Energy E�ciency in Process Technology, Elsevier, London, 1993, p. 767.

[6] F.C. Lockwood, B. Shen, T. Lowes, Numerical study of petroleum coke ®red cement kiln ¯ames, Presented at the

Third International Conference on Combustion Technologies for a Clean Environment, Lisbon, 1995.

[7] F.C. Lockwood, B. Shen, Performance predictions of pulverised-coal ¯ames of power station furnace and cement

kiln types, Twenty-Fifth Symposium International on Combustion, The Combustion Institute, 1994 p. 503.

[8] P.V. Barr, J.K. Brimacombe, A.P. Watkinson, A heat-transfer model for the rotary kiln: Part II, development of

the cross-section model, Metallurgical Transactions B 20B (1989) 403.

[9] V. Frisch, R. Jeschar, Possibilities for optimizing the burning process in rotary cement kilns, Zement-Kalk-Gips 36

(1983) 549.

[10] A.A. Boateng, P.V. Barr, A thermal model for the rotary kiln including heat transfer within the bed, Int. J. Heat

Mass Transfer 39 (1996) 2131.

[11] M.G. Carvahlo, T. Farias, A. Martius, A three-dimensional modelling of the radiative heat transfer in a cement

kiln, in: Carvahlo et al. (Eds.), Combustion Technologies for a Clean Environment, Gordon and Breach, London,

1995, p. 146.

[12] H.A. Spang, A dynamic model of a cement kiln, Automatica 8 (1972) 309.

[13] CFDS, FLOW-3D Users Manual, AEA Harwell, UK.

[14] E. Mastorakos, J.J. McGuirk, A.M.K.P. Taylor, The origin of turbulence acquired by heavy particles in a round,

turbulent jet, Part. Part. Syst. Charact. 7 (1990) 203.

[15] P. Panagiotopoulos, TITAN S.A. Cement Company, Personal communication, 1996.

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decomposition of calcium carbonate, Chem. Eng. Sci. 49 (1996) 2198.

[17] V. Johansen, Cement production and chemistry, Presented at the Symposium on Cement Manufacturing and

Chemistry, Anaheim, November 1989; also RAMBOLL Bulletin No. 41, 1993.

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