ACTA MECHANICA SINICA, Vo1.19, No.3, June 2003 The Chinese Society of Theoretical and Applied Mechanics Chinese Journal of Mechanics Press, Beijing, China Allerton Press, INC., New York, U.S.A. SIMULATION COMBUSTION ISSN 0567-7718 OF NOx FORMATION IN TURBULENT USING A USM TURBULENCE-CHEMISTRY ZHOU Lixing ( ~ 2 q ~ ) t QIAO Li ( ~ Sg) Z H A N G Jian ( ~ SWIRLING MODEL* f~) (Department of Engineering Mechanics, State Key Laboratory of Clean Coal Combustion, Tsinghua University, Beijing 100084, China) A B S T R A C T : A unified second-order moment (USM) turbulence-chemistry model for simulating NOx formation in turbulent combustion is proposed. All of correlations, including the correlation of the reaction-rate coefficient fluctuation with the concentration fluctuation, are closed by the transport equations in the same form. This model discards the approximation of series expansion of the exponential function or the approximation of using the product of several 1-D PDF's instead of a joint PDF. It is much simpler than other refined models, such as the PDF transport equation model and the conditional moment closure model. The proposed model is used to simulate methane-air swirling turbulent combustion and NOx formation. The prediction results are in good agreement with the experimental results. K E Y W O R D S : swirling turbulent combustion, NOx formation, second-order moment model 1 INTRODUCTION The numerical simulation of NOx formation in turbulent combustion is frequently used in the optimization design of low-NOx burners and furnaces. Although the direct numerical simulation (DNS)[ 1], large-eddy simulation (LES)[ 2], probability density distribution function ( P D F ) transport equation model[ 3] and the conditional moment closure (CMC) model [4], developed in recent years, can well simulate the interaction of turbulence with detailed chemistry, these refined models need rather large computer m e m o r y and computation time. T h e y can be used only in simulating very simple flows in fundamental studies. For engineering combustion modeling, the widely used models, including those adopted in the commercial software, are the Eddy-Break-Up (EBU)-Arrhenius (denoted as E-A in the following text) model, the p r e s u m e d - P D F fastchemistry model for turbulent combustion [5] and the p r e s u m e d - P D F finite-rate chemistry model for NOx formation [6]. However, the PDF-fast-chemistry model cannot account for the finite-rate kinetics and the EA model is also not handy to account for the finiterate kinetics. The P D F finite-chemistry model using a product of several single-variable P D F ' s instead of a joint P D F leads to an under-prediction over the averaged reaction rate. Alternatively, the second-order moment turbulence-chemistry models, based on the idea of second-order m o m e n t turbulence models, are more reasonable t h a n the E-A model and the presumed P D F models, while they are more economical t h a n other refined models. It is well known t h a t the difficulty in developing the second-order moment turbulence-chemistry models lies in the treatment of the exponential function of t e m p e r a t u r e in the time averaging procedure. Previously, two versions of the second-order moment models were developed. In the first version a series expansion of the exponential t e r m with an approximation of E / R T << 1 is made[ 5]. This model is used to simulate methane-air and hydrogen-air turbulent diffusion combustion Iv's]. T h e predicted t e m p e r a t u r e and main species concentration are in good agreement with experimental results, but the NOx concentration is under-predicted. The reason is that for NOx formation the activation energy is large and E / R T is much larger t h a n unity, so the approximation of E / R T << 1 leads to a significant under-prediction over the averaged reaction rate. The second version is the second- Received 27 October 2001, revised 24 May 2002 * The project supported by the Special Funds for Major State Basic Research of China (G1999-0222-07) t E-mail: [email protected] Vol.19, No.3 Zhou Lixing et al.: Simulation of NOx Formation in Swirl Combustion order-moment P D F model, in which the concentration correlation is closed using the second-order m o m e n t equations, while the temperature-concentration correlation is closed using the presumed PDF[ 9,1~ Simulation of methane-air jet diffusion combustion shows t h a t this version of the second-order moment model, not using the series expansion approximation, is much better than the first version of the second-order moment model and the E-A model. However, it still does not entirely get rid of the approximation of using the product of two single-variable P D F ' s instead a joint PDF. In this paper, a third version of second-order m o m e n t model, i.e. a unified second-order m o m e n t (USM) model is proposed. The feature of this new model is that when solving the time-averaged reaction rate, the correlation of the reaction-rate coefficient fluctuation with the concentration fluctuation is closed using the t r a n s p o r t equation in the same form, as t h a t of the t r a n s p o r t equations for all other correlations, assuming that the production t e r m of this correlation is proportional to that of the temperatureconcentration correlation. The validity of this closure can be verified only by experiments. Besides, the effect of reaction on the dissipation of correlations is taken into account. T h e proposed model is used to simulate methane-air swirling turbulent combustion and NOx formation. The prediction results are validated using the experimental results taken from Ref.[ll]. 2 THE USM MODEL Eq.(1) becomes Ws -- + rfuk'ro'x + Lxk'Yf'] For an elementary reaction of any two species or a global one-step reaction with two species, for exampie, fuel and oxygen, the instantaneous reaction rate is (2) where k = f exp(-E/RT)p(T)dT, p(T) is the temperature PDF. The correlations MY' and Y~Yorx are closed using a unified form of transport equations. The generalized form of t r a n s p o r t equations of these correlations when accounting for the effect of chemical reaction on the dissipation using two time scales is 0 05 -Sgx5 ] + 0~0~ Cgl"T OXj OXj (ab) Cg2 ~ ~- < /9r (3) where --1 k T T Z -C Cg2 = 2.0 CgI = 2.8 a+ b = 1 For the correlation of the fluctuation of the reactionrate coefficient with the concentration k'Y', it is very difficult strictly deriving the transport equation. Assuming that its t r a n s p o r t equation takes the same form as t h a t for the transport of temperatureconcentration correlation and its production and dissipation are proportional to those of T'Y', we have 0 TURBULENCE-CHEMISTRY 209 0 (,;0k Y,) Cgl/AT ~ Cg2p + (4) Ws = Bp2YfuYox exp(- e/RT) where Yfu, Yox, T express the instantaneous values of fuel mass fraction, oxygen mass fraction and temperature, respectively, E denotes the activation energy and R the universal gas constant. After taking the Reynolds averaging the time-averaged reaction rate takes the following form 9T Ws = Bp2kYfuYox = Bp2( + #)(?fu + U3( ox + Y'x) where, k = When (1) exp(-e/RT). neglecting the When taking the top-hat P D F of temperature, the time-averaged reaction-rate coefficient is third-order correlation = Tt2 For the chemical kinetics of methane-air combustion a global reaction kinetics of Arrhenius type is taken as Wfu = 1.0 X 101~ e x p ( - 1 . 8 4 x 104/T) (5) ACTA MECHANICA SINICA 210 The time-averaged reaction rate is ~uk'Yo'x + ?o~k'y~'] (6) where B1 = 6MNo/4MNHa, B2 = M N O / J ~ f N H a , M is the species "molecular weight. Therefore the laminar reaction rate of NO formation is WNO ~- WNO,fuel -]- Wz -F Wp The transport equation of Yf~Yot~is _ ot o (~ oyi'Yg,x ~ ~ Cg2P a o~ Ofox ~Xj ] ~- ggl#t OXj OXj i-a) -~ TA y, y, fu o x WNO,fue I = WNO,fue 1 X (1 + Z1) ENHa l Y,'O2 k'1Y/NHa ~_ k'1Y~02 Zl -- YNH3Yo2 + ~IYNH3 kl?O2 (7) where cgl = 2.8, Cg2 = 2.0, a = 0.5. The transport equation of k ' Y ' is Eq.(4). For NO formation the Zeldovich mechanism of thermal NO formation and Finemore mechanism of prompt NO formation are used as Wz = 9 x 1012TO.3exp ( 3 8 4 4 0 ) [N2][O2] (8) -+ Z2=- ([M]- [N2])([M]- [N2]- [CO2])]}. (9) - [02] G--l+40exp(-~-)+2.6xlO13T exp For fuel NO -- 4NH3 + 6NO -4. is used ~ 5N2 + 6H20 (10) 4NH3 The fuel NO + 502 ~ 4NO 1 = 13 588 T= + T , ) + e x p (L3588~ ] ~ - T'Jj ( +exp 3 S I M U L A T I O N OF NOx F O R M A T I O N I N METHANE-AIR SWIRLING TURBULENT COMBUSTION ]4 L~ reaction rate is determined by 4.0 • IOspYNHayb2B2 exp ( \ 16105~] T-T'] by Eq.(3). + 6H20 WNO,fueI = 1.8 x IOspYNHaYNoB1 exp ( - - - W ~ o+, f u e ~1 [exp ( The geometrical configuration and sizes of the swirl combustor to be predicted are shown in Fig.1 and Table 1. The fuel--methane is supplied from the central tube and the swirling air is supplied from the annular tube with a swirler. The air flow rate is 8.gm3/h and the methane flow rate is 0.8932m3/h. The swirl number is s = 0.43. A small amount of [H20] the following mechanism (14) The correlations in Eqs.(13), (14) are determined also where T is the temperature (K), [M] is the mole concentration (mole/cm3s), F and G are given by x 10-Z~ 3exp Y/NH3Y/O2 k2I Y/NHa k2I E02 I - +- +- YNHaYO2 k2YNHa k2Yo2 1 [ (16105) k 2 = ~ exp '~+T' F3/2G[N2][CH4][021 a/2 [H20]1/2/ [1 + 3 000 exp(-15 185/T)] + where = Wp = {3 x 1010exp(-2 900/T). (13) W;o,f.,ol = W;o,f.o 1 x (1 + 12) f~l F=I-I.1 (12) For the turbulent reaction rate of NO formation, the time-averaged reaction rate using the USM model, for example, for fuel NO is ~xj aXj 2003 ) 1T5) - - (11) methane+ammonia Fig.1 The swirl combustor Zhou Lixing et al.: Simulation of NOx Formation in Swirl Combustion Vol.19, No.3 4 Table 1 The geometrical sizes of the combustor PREDICTION T h e m o d i f i e d k-e t u r b u l e n c e m o d e l w i t h a corr e c t i o n a c c o u n t i n g t h e effect of swirl a n d unified s e c o n d - o r d e r m o m e n t t u r b u l e n c e - c h e m i s t r y m o d e l are used t o s i m u l a t e t u r b u l e n t swirling flows, combustion and NO formation. The computation domain is 0.9 m x 0.08 m. 80 x 45 s t a g e r r e d g r i d n o d e s are a d o p t e d , as shown in Fig.2. T h e differential e q u a t i o n s are d i s c r e t i z e d into finite difference e q u a t i o n s a n d t h e F D E ' s a r e solved using t h e S I M P L E C a l g o r i t h m . For b o u n d a r y c o n d i t i o n s , u n i f o r m d i s t r i b u t i o n of different v a r i a b l e s is t a k e n at t h e inlet; s y m m e t r i c a l c o n d i t i o n s are t a k e n a t t h e axis a n d f u l l y - d e v e l o p e d flow cond i t i o n s are t a k e n at t h e exit. No-slip c o n d i t i o n s are t a k e n a t t h e wails. For n e a r - w a l l grid n o d e s t h e wall f u n c t i o n a p p r o x i m a t i o n is used. T h e c o m p u t e r codes consists of a b o u t 4 000 s t a t e m e n t s . R u n n i n g a case in a P e n t i n u m - 3 - 5 5 0 P C t a k e s a b o u t 10 h. 1.0 0.8 o~ 0.6 0.4 0.2 0.0 I 0 5 0 . 06 IIllllUlllllfi]LEklllllllllllllllllllllilLIIIII]lll i i I I i i I t i i I I i i I I I [ I I i i i i I I I I nell I I I [ [ I I k I I Ullllml[]l]B[llllllllllllllllllllllll[llll]]lll 0.05 i i I I [i i k [ [ i i i i . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .I. .I. .I. .I. .I. I I I I I I IIIIIIIIIlIIIlIlilllllllllllllllllllllllllll[lllllll J I I I I I IIII IIIIIIIIII/ILl[lllllllllllllllllllllllllllllllllll[I I I i i I I In I I I I ~ i i ~ I I I i ~l I J I] [I II .I .I .I . I . [ . I . I . . . . I I I I I "~- 0.04 ........................................................... m,~,nnnnnnnnnnnmnmnl.ullllllnunnn ii i i n n n n n n n n n n ~ n n ii 0.03 ........................................................... 0.02 mllullmHIIIIIIIIIIIIII]lllllll]llllll II ] I I I I I I I I I I I I I I I I ~[F~IIIIIIIIIIIIIIIIII]IIII]HIIIIII]I]II II I L [ ~ I I I I I I I I I I I I I I::I:,~:::::::::::II:::ET, I:P,:IIIIIII W~ llll::::llll ~:::::::::::::::I:['??,II,[F,I::2J, V,I N Ill III:::::I ::::::::::::::::::::::::::::::::::::::::::::: ::::: I I I [ I I I I i I I I I i I I I I i I I I [ i I I I I i I I I Fig.3 Streamlines I I i r I I IF I 0.08 I I I [ I I I I II 0.06 i] "--- 0.04 1 : I I I I I 1 I I I I I I I I I l : : : : : : : : : : : : 0.01 0 /~ 0.2 0.4 1339 1274 1218 0.6 0.00 0.0 0.8 0.2 0.4 x/m Fig.2 Computation 1173 0.02 ':':':': ': ': 0 10 x/R 0.08~!!!!!!!!!!!!!!!![!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!]!!!!]!!![!! !! ' !: !', !', !', !: !', !', !', !', !! ':'''''''''''''']E[`'''''''''''''''''''':'::`''':'•':::::::: ',: ', ', :', ',', i i i i I I I I DISCUS- Figure 3 gives the streamlines. It can be seen that under the effect of swirl there is a large-size corner recirculation zone and a small-size central recirculation zone. Figure 4 shows the temperature maps. The high temperature region developed in the corner recirculation zone and the central recirculation zone plays the role of flame stabilization. Lower temperature exists at the inlet and near-wall region. Figure 5 gives the comparison of predicted temperature profiles at 7 cross sections with the experimental results in Ref.[ll]. The agreement is good. The comparison of the predicted NO concentration with the experimental results is shown in Fig.6. In general, the prediction results are near to those measured. Quantitatively, the model over-predicts the NO concentration a m m o n i a (4.91%) is a d d e d to t h e fuel t o s i m u l a t e fuel N O in case of gas c o m b u s t i o n . T h e e x p e r i m e n t a l resuits for t u r b u l e n t c o m b u s t i o n a n d N O f o r m a t i o n in this c o m b u s t o r are t a k e n from Ref.[11]. IHIIIIIIIIIIII]II[IIIIIIIIIIIIIIIIIII[II[II[Illll m......i,i,m..mmmmu,Hllll,,lll HIIIIIIIIIIIIII/II}IIIIIIIIIIIIIIIIIIIII[IIIIIIIll mIIIIIIImI~ImUIIUUUUlUUIIUHIIIII~IIII AND SION D1/mm D2/mm Da/mm Df/mm Dout/mm Lf/mm 8 i0 30 160 180 900 0.07 RESULTS 211 0.6 0.8 x/m Fig.4 Temperature maps (unit: K) domain and grid arrangement ) -%. 4 t ~4 O ~ x=17.5 r 600 ' x----52.6 x=27.5 i , 1 200 600 1 200 600 1 200 600 1 200 600 , T/K predictions 9 experiments Fig.5 Temperature profiles , vl 1 200 600 x=702 ~ 1200 ,', 600 1200 ACTA MECHANICA SINICA 212 2003 -5 i @ I I I x~5 10 - 7 "~ ~=40 x=70 a----52.~ i , i v 600 1 200 iv , 600 1 200 600 1 200 600 1 200 600 1 200 600 1 200 I .l 600 1 200 [NO]/ppm predictions 9 experiments Fig.6 NO concentration profiles in t h e first 4 cross sections. T h i s d i s c r e p a n c y m a y b e c a u s e d b y t h e a d o p t e d over-simplified r e a c t i o n kinetics. It can b e seen t h a t d u e t o t h e effect of swirl t h e N O c o n c e n t r a t i o n in t h e c o r n e r region is higher. 5 CONCLUSIONS (1) T h e N O f o r m a t i o n in swirling t u r b u l e n t combust i o n c a n b e r e a s o n a b l y s i m u l a t e d using t h e unified s e c o n d - o r d e r m o m e n t t u r b u l e n c e - c h e m i s t r y model (2) M o r e d e t a i l e d kinetics s h o u l d b e t a k e n into account to improve the predictions. REFERENCES 1 Tanahashi M, Yu Y, Miyauchi T. Effects of turbulence intensity on the structure of hydrogen-air turbulent premixed flame. In: Nagano Y ed. Proc 3rd Inter Symp on Turbulence, Heat and Mass Transfer, Nagoya, 2000-4-2~6, Nagoya: Aichi Shuppan, 2000. 823~830 2 Park N, Kobayashi T, Taniguchi N. Application of flame wrinkling LES combustion models to a turbulent premixed combustion around bluff body. In: Nagano Y ed. 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