• 검색 결과가 없습니다.

The Study of Numerical Simulation for Investigation of Combustion Characteristics in Municipal Waste Incinerator

N/A
N/A
Protected

Academic year: 2021

Share "The Study of Numerical Simulation for Investigation of Combustion Characteristics in Municipal Waste Incinerator"

Copied!
6
0
0

로드 중.... (전체 텍스트 보기)

전체 글

(1)HWAHAK KONGHAK Vol. 40, No. 6, December, 2002, pp. 757-762.   

(2)      

(3)   *. †.  .  

(4) (2001 11 26 , 2002 8 19 ) *. The Study of Numerical Simulation for Investigation of Combustion Characteristics in Municipal Waste Incinerator Young Nam Chun†, Tae In Ohm* and Hyoung Oon Song Department of Environmental Engineering, Chosun University, Gwangju 501-759, Korea *Department of Environmental Engineering, Hanbat National University, Daejeon 305-719, Korea (Received 26 January 2002; accepted 19 August 2002).     

(5)         ! "# $% &. ' ()* 3#+ ,-. /01 23  4 5647 (89: ;  <=>? @A B 1 C&. DEF /0G 3#+ ,-. HI <=J KLM >?N4 ,OP1 Q!R SJ HT, S U VW1 -. 9 X$C&. ' -. 1 564 7 4Y (89 @AM Z: 1# [% \]^ _1 `(ab7 cd= (e9 0e f^g hi27j 2# (k! cd= (e9 lm nok ( p 89 %R&. Abstract − The interest of incineration, which is one of the effective methods for municipal waste disposal, has gradually increased because the incineration could reduce the volume and weight of the waste, and produce useful energy from the waste. This study has developed the 3-dimensional numerical model, and applied for the investigation of combustion characteristics and optimized operating conditions in MSW incinerator in Gwangju. The model developed in this study has been verified through the comparison between the predicted and the measured temperature in combustion chamber which is operating. By predictive results, the Sangmoo incinerator has a good characteristics of combustion efficiency and a low emission by the second burning in the main flame zone, even though after burning zone produces incomplete products by which primary air is introduced not enough. Keywords: MSW, Incinerator, Combustion Model, CFD, Turbulent Flow. 1..  . ji9k lmk V+nJ! jo R] XU4p )4]^ qr st uvw^x. Fy 12  JK L 8

(6)  +9 V+nJ z {D MNOP! jo( ) * VW |}. ~ VW  8

(7)  +9 &5! ]^( ) * 3 .€ )4‚! ƒ„  †a K‡ ˆ

(8)  ‰ 200Š + ‹9 34 567 +9p 5i MNOP! D' ƒ„Œ  ‚! % V+nJ\ V+Ž nJ! jox..  

(9)          .  ! "# $% &

(10) '( ) * +  , 

(11)  (MSW) + -.   /0 *. 12 34 567  8

(12)  +9 :; <=>1? @9

(13) A BC 1 2  +  DEF G. HI 12  JK L M NOP <Q! R +92 SD7 K! TU R V W9 XYD7 Z[[1]\ )4]^D7 Z[[2] _ `a9 bc de BC VW =f % *. Park g[3]\ Shin g[4]h 50 ton/i '#. 2..  . 2-1.    ~ VW )4 ]^ K‡ +9 V+X b Fig. 1 ‘ ’“ Xp 5i b9 ” 13.97 m•– 4.2 m•— 21.98 m. K‡ +9 +9 8K w˜6 ™˜š 8K! . † To. whom correspondence should be addressed. E-mail: [email protected] 757.

(14) 758. . Table 1. Expression of Γφ and Sφ for enthalpy and species mass fraction Sφ φ Γφ mCH4. µ eff --------σ CH 4. wCH4. mCO. µ eff -------σCO. wCO. mH2. µ eff ------σH. wH2. h. µ eff ------σh. * (mCH4HCH4+mCOHCO+mH2HH2)−Srad. 2. *Srad is in Eq. (3) Constant in combustion models σCH4=σCO=σH2=σh=0.9.  ·¸º(w )h Magnussen\ Hjertager[5] » ·¸‚! 'x›œ š (2) “ S·¸¼

(15) p ½E¼

(16) t %¾x. i. m ox ε mpr ε ε wi=minimum of ρAmi --- , ρA -------- --- , ρA' ---------- --k s k 1 + sk. |. |. (2).  , ρ ¨£¤ ¿

(17) , s VÀ µR Á#Â SÃD7 Ä  ÅW#, m   CH , CO, H  Á#wº, m  Ä Á #wº, m h ÆJ Á#wº, Ap A'h Lockwood g[6]   : YK)9 4.0. SÇ u&, ¿

(18) , ¥

(19)  CHEMKIN(chemical kinetic code)[7] &™S qrt ' ¶Äx. Table 1h ESCRS V+‚! ' i· FZQš (12)t ¶Ä ( :;  )È! dr2. £8 ɘV+‚ Γ p S   φ  ÊĶ)p ÆJËœ σ Schmidt). ~ VW ' Radiosity ́‚h Spalding[8] ] »Œ ’›9 P-1 WO Í[(P-1 spherical-harmonics approximation) ÌÎ

(20) (radiation intensity) RTEs(radiative transfer equations)[9] 'Œ ’\ ¹. + „Æ  V+ ÆJ 6 CO , H O Î })(absorber) z ZÏ(emitter)Fy ÄÐÌ(scatter radiation) Ñ  Ò. ° N , O , H  }) Ñ Ò Ì&NÓ ‰B=. ̼(R)h ÌFZQš (11) W. })¶)(absorption coefficient; a)p Äж)(scattering coefficient; s) 1.45 m p 0 m t D'x%, E ÔÏZÕ(black-body emissive power). Ì &NÓ  &ÖX! %¾ R] ×FZQš (9) ÆJË š (3) D'Œ. 4. i. 2. ox. pr. φ. 2. Fig. 1. Schematic diagram of combustion chamber.. 2. % *›œ V+'  1. p žŸ ( žŸ), 2 . , @% ¡)w‡ž¢ w  9 Ww% *.  MN6  2. p ¡)w‡ ž2 £¤¥

(21)  950 CK ›9 ¦I 9   ƒ§ ¨©D›9 w % *B ~ VW  2.p ¡)w‡ ª«!  ¬. ­® b ” 10.17 m•– 4.2 m9 POª™(PD), aV+ ª ™(PB1, PB2), ¯V+ ª™(PA1, PA2)  ƒ ° _ ƒ ª™›9 deBC *% 2. V+X W b — 1.96 m•– 4.2 m. žŸ –Z« ±(N²¯)Ÿ ®³(air jacket) ž2t «] €8 ž¢(φ=0.03 m)  104ƒ ´ % *. 2-2. 

(22)   2-2-1. )4]^ ‚ V+‚h 2µ¶ 3F ·¸(two-step three reaction)›9 ‰B= ·¸‚(finite-rate chemistry model)7 ESCRS(Extended Simple Chemically-Reacting System)t 'x% V+·¸h š (1)\ ¹. o. 2CH4+O2→2CO+4H2 2CO+O2→2CO2 2H2+O2→2H2O.  40 6 2002 12. 2. φ. 2. 2. −1. −1. Srad=4a[R−E]. (3). ɘ5h V+9 )4t R k−ε ‚! 'x%, É ˜ NµÕh Boussinesq Q  Ø ° ɘ-J¶)(µ )p £¤¼

(23) W ٛ9 Ú œ, ɘ-J¶)(µ ) Prandtl-Kolmogorov ,¶š›9Ûs Ќ. Ÿ Í Ï ÜÝ 8Þ ߘàß(viscous sublayer) 8J  á Ÿâ)[10]t ' ɘ-J¶)t ã9 Qx. 1ÛϘ ¨(local residence time)h ¶Äª™ 2 ä - ¶ Ä åÅq aAŒ Ï @ -

(24) Ó æB= ¨. 1Û Ï˜ ¨h i· FZQš (12) Ǽ) φt Ϙ ¨ t9 %, Æ JË S  š (4)p ¹ ¶Ä. t. t. φ. ρVol S φ = ∆t ∑ m· inj = --------------∑ m·inj = ρVol ∑ m·inj j j. (4). j. (1).  , Volh ç ÏD, m·  j ! è ç A  Á#  inj.

(25)

(26)       !" #. 759. #, Σ é E! |. 2-2-2. FZQš +9 2 3.€ ɘ5 ]^! R] QK˜ ÏI Qx› œ, Ǽ)È! ¶Ä R] FZQš! êr ë (vector tensor) 8Þ9 dr2 ì šÈ\ ¹. (1) V¼ZQš ∂ ( ρu ) --------------i - = 0 ∂x i (2) Navier-Stokes. (5). M5 ZQš. ∂u ∂u ∂p ∂ ∂-----( ρu i uj ) = – ------- + ------- µ eff  -------i + -------j  ∂x j ∂x i ∂x j ∂x i ∂x j. (6). ɘ‚ FZQš í ɘ M5 ×F ZQš (3) κ−ε. ∂ µ eff- -----∂∂k-----+ Gk – ρε ( ρu i k ) = ------- ------∂xi σk ∂xi ∂x i. (7). í ɘ ×F +ĺ ZQš. Fig. 2. Grid generation for computational analysis.. 2 ε ε ∂ µ eff- -----∂∂ε-----+ C1 --- Gk – C2 ρ ---( ρu i ε ) = ------- ------k k ∂xi σε ∂xi ∂x i. ∂u ∂u ∂u Gk = µt -------i + -------j -------j ∂x j ∂x i ∂x i C1=1.44, C2=1.92, Cµ=0.09, σk=1.0, σε=1.3 (4). (8). ×F ZQš. ∂ µeff- -----∂∂h-----+S ( ρu i h ) = -------  ------∂xi  σh  ∂xi h ∂x i (5). (9). SÇ ‘´ZQš. ∂ µeff- ∂m ∂--------------i + w i ( ρu i mi ) = -------  ------∂x j  σi  ∂x j ∂x j (6). (10). Ì FZQš. ∂R- + 4a ( E – R ) = 0 ∂- 4 --- ( a + s ) ----------∂xi ∂x i 3. (11). )4]^Z[ Á# M5#, ×F, ɘ ×F, Ì &¼, SÇ î

(27)  2. ï|w FZQš ì š (12)p ¹ i· Œ. 2-2-3. ,. ∂ ∂∂φ -----( ρu j φ ) = -------  Γφ ------- + Sφ ∂x j  ∂xj ∂x j. (12). R š φ i·D7 Ǽ)9 ¼

(28) Jw(u, v, w), ðÕ(p), ñ òó(h), SÇ Á#wº(m , m , m , m , m , m ) z ɘ ×F(k, ε), ¥

(29) (T), Ì&¼(R), Ϙ ¨(t). i·D7 2. ï|w FZQš ]t æ R]  ÏD  ô .w[\ ˜Ë <8t R] power law scheme! '  ÄZQš(discretization equation)! 

(30) x. )4]^h PatankerZ[[11]! 'x›œ .wŒ M5ZQš›9 ç ðÕ(cell pressure) decoupling! Òõ R ö÷ø ­®ù(staggered grid arrangement)! 'x.  ÏD  Ä ZQšh Lineby-line TDMA(TriDiagonal Matrix Algorithm) ] ]t Wx›œ, Navier-Stokes M5ZQš drd ðÕ\ ¼

(31)  V¶ úû ) CH4. O2. CO2. H2O. CO. H2. ü! R SIMPLE(Semi Implicit Methods for Pressure Linked Equation) ý%þ 8Œ SIMPLESTý%þ(Semi Implict Method for Pressure-Linked Equations ShorTened)! 'x. ~ VW  ɘ5 z S·¸  ]^D7 ]t æ R ] K' ϙS ÿ7 PHOENICS V3.3! 'x% )4¶Ä! R Pentium III-5007 i· PCt 'x.  BÏD )ü(convergence criteria)h Á#, M5#, ×F @% SÇ é dF(residuals) E 1•10 9 x. )ü ¨h 1.   D!) 3,000wK CPU time åÅx›œ 1.  # !) )ü¼

(32)  I. ~ VW  Fig. 2 dr ’“ {D ¶Ä­®t 8J% ® BFC Ú¶t D'x%, +9 –(y Z«)h  ! ‰% * B ¶Ä ¨

(33) ! R]

(34) · 8K›9 )4]^! fx. 2-2-4. AW :¶OP ~ VW aA h ; úc ò(devolatilization)  ’ ›9 Q% àR„&# ] Ž9 µ ž2 V+K! )4 x. Table 2 K‡+9 8 +   ²SD OJ\ àR „&# w^! dr ’ . Table 3  +9 aA  V+ AW :¶OP! dr  ’›9 V+ AW¼h XKÞ9 ‘Q ¼! ' x% 1.  ­® (porosity)! 0.49 wx. −3. 3..

(35) . 3-1. 3 

(36)    ƒ„Œ 3.€ )4‚ D'J ! R] ¥

(37) t uv7®9  X 567 K‡+9  MN XU4 ¥

(38) p 5i OP›9  )4]^ æB= ¥

(39) t uvx. uv7®7 ¥

(40)  š (8) ×F ZQš &NÓ, S·¸, ɘ5 V¶ B ¶Ä  ñòót è] W]=. Fig. 3h  MN ii ¨  ž2 XU4 ¥

(41) p )4]^ æB= ¥

(42) t uv dr2 . XU  2. V+X ¥

(43)  aA JK z ž2 V +K V¼D7 9 {à 903 C {% 952 C ¥

(44) t o. o. HWAHAK KONGHAK Vol. 40, No. 6, December, 2002.

(45) . 760. Table 2. Parameters of fuel characteristics of the municipal waste on august Results of proximate analysis Combustible Paper. Plastics. 22.87. 14.26. Food·Vegetables Wood·Garden trimmings 41.75. Textile. Non combustible. Moisture. Ash. 3.13. 11.01. 55.55. 12.35. 6.95. Specific gravity LHV (ton/m3) (kcal/kg) 0.32. 1,760. Results of ultimate analysis C. H. O. N. S. Moisture. Ash. Total. 18.35. 2.64. 10.1. 0.82. 0.19. 55.55. 12.35. 100. Table 3. Boundary conditions of combustion air Primary air1) Drying zone. Zone Injection velocity(m/s). Burning zone. After burning zone. PD. PB1. PB2. PA1. PA2. 0.161. 0.268. 0.322. 0.214. 0.076. Total 0.20. Wall cooling air2) Zone. WA1. WA2. WA3. WA4. WA5. WA6. WA7. WA8. WA9. Total. Number of injection hole Injection velocity(m/s). 12 13.05. 9 13.05. 27 20.29. 9 13.05. 12 13.05. 7 7.83. 11 7.83. 10 7.83. 7 7.83. 104 11.53. 1) 2). Preheating temperature: 178.3 oC Preheating temperature: 200 oC. Fig. 4. Velocity vectors and streamlines plot in combustion chamber. Fig. 3. Comparison of measured data and prediction in secondary combustion chamber.. ‘% £¤¥

(46)  928 C. )4]^ æB= ¥

(47)  940 C9 £¤¥

(48) p 1.3% ¡.t ‘% *Fy ž2 XU4 ¥

(49)   5–2 ´ 9 ~ VW ƒ„ 3.€ )4‚ X D 'J *ì! Ê7x. 3-2.     X +9 8K z b, MNOP! 5ic )4t )f  ž2 V+nJ\ V+Ž nJ! jo%® K‡+ 9 –(y )Z« 6(Fig. 2 A-A'µ ) qrt ]^x. 3-2-1. ¼

(50) êr z < Fig. 4 +92 ¼

(51) êrp <! dr ’. Fig. 4(a) ž2 ¼

(52) êrt dr ’›9 PO ª™\ ¯V+ ª o.  40 6 2002 12. o. ™ „Æ V+ŽÈ KÛ w  žŸ ª«›9 aV+ª™ KÛ ÜÝ bc ½E B 2. V+ œ a5 K  9 2. V+X9 A %û 5wt ‰% *. Fig. 4(b) <! dr ’›9 2. V+X ª™  dead zone 8J F G V+X ÏD "+ Ò. HI V+ ŽÈ 2. V+X V+ w Ϙ( ) * ¨D7  t Á ) *B ¡ Á ÆJ "+Œ. Fig. 5  +9 3.€ ¼

(53) êrp D<(path lines)! dr ’. Fig. 5(a) ­® WZ«›9 _ !" µ ¼

(54) êr ž Ÿ(WA3) ] ¼

(55) êr –Z« 6›9 4;# $! % ) *Fy 2. V+X ¼

(56) êr ÏD›9 %û wt ‘% *. Fig. 5(b) + „Æ uÄ (fly ash) 5:97 D<! ‘a% *. Ûw A® ~ D<! r% &'9 uÄ .

(57)

(58)       !" #. 761. Fig. 5. Velocity vectors and path lines plot in combustion chamber.. Fig. 7. Temperature contours in combustion chamber.. ž2 ¥

(59) Fig. 7 1. V+X ¥

(60) wt ‘ |VJw ¯V+ ª™ V+ =f 9 ¯V+ ª™ ¥

(61)  —c drd% *. V+X 2Û ¥

(62)  2. V+X AWÛw 1,000 Ct ‘% *%  WÛw›9 =fâ HI V+X Ÿ ›9 ˜ z Ì&NÓ   &ÖX9 7 ¥

(63)  -.9 Î V+X W   ¥

(64)  880 C. A-A'µ h ­® 2. V+X WZ«› 9 6Û ¥

(65) wt dr ’% B-B'µ h 1. V+X a  8J % * ”Z«›9 6Û ¥

(66) wt dr2% *. 3-2-4. ž2 SÇ î

(67) w Fig. 8 Žp Ä+ î

(68) wt ‘ ­® 3 — h ! ‘ aV+ ª™ ­® KÛ 4­ "+â! % ) *q   ª™ V+·¸ 3 5„c =f % * á . aAVÀ7 h aV+ ª™ KÛ Ñ 2NV+ i Bd% V+X W   Ä+î

(69)  6.6%Q

(70) t ‘% *. iÄ+ î

(71)  1. V+X ­® KÛ %î

(72) t ‘% *q  ~ VW D' 2µ¶ 3F ·¸›9 ‰B= V+ ‚ 6¨µ¶ ·¸ iBd% * á. 1. V+X „Æ iÄ+ aV+ ª™ KÛ a  2. V+6›9 î

(73)  10 ppmQ

(74) 9 4­ "+% ÆJ7  Ä+ î

(75)  6.3%9 —F% *. Fy 2. V+X WÛ 9 ÷) iÄ+ î

(76)  30 ppmQ

(77) 9    1 . V+X w Ä·¸F 7 iÄ+ 2. V+X 6 Û9 A % * á. 3-2-3.. o. o. Fig. 6. Local residence time and mixture fraction contours in combustion chamber..  5:9t Ê7( ) *. 2. V+X (åÅ ª™  %¼Û 8J F Gì›9 )ˆ˜ NWÁ! â u Ä  %¼  ! ZF( ) *. 3-2-2. Ϙ ¨\ ½Eº Fig. 6h +92 1ÛDϘ ¨\ ½Eº! dr ’. K‡+9 2. V+X ž2 Ϙ ¨(bulk residence time)h 4.76 ôœ, Fig. 6(a) 1ÛD Ϙ ¨(local residence time)! ‘ 2. V+Xh 10ô »* + 1ÛD Ϙ ¨! ‘% *q  1. \,u -c MN % * á. Fig. 6(b) ­® w  V+Žp žŸ ½EQ

(78) t dr2% *. PO ª™\ ¯V+ ª™ ­® KÛ žŸ K D›9 w¼  POª™\ ¯V+ª™ V+Ž ./  01 ½E ‰BF% *. |1 EPA ‘% [12] . 2N½E—(fully mixed height)I ƒ§! ÎO% *q K ‡+9 2. V+X AW9Ûs ÏD›9 %û ½Eº! ‘% *.. 4..

(79) . ~ VW  8

(80)  +9 & 5! jo( ) * .€ )4‚! ƒ„x% ~ ‚! D'] æB= ¥

(81)  XU 4 ¥

(82) p 9 i4â! Ê7 X D'J! x. 3. HWAHAK KONGHAK Vol. 40, No. 6, December, 2002.

(83) . 762. E Gk. : block-body emissive power [W/m2] : production of turbulent kinetic energy. k h mi p R s Sh u wi. : turbulent kinetic energy [m2/s2] : entalpy [J/kg] : mass fraction of i species(i=CH4, CO, H2) : pressure [Pa] : radiation flux : scattering coefficient [m−1] : enthalpy source term : velocity vector [m/s] : reaction rate of i species.  ! "# ε. : turbulent kinetic energy dissipation rate [m2/sec3]. ρ µ µt µeff σk, σε. : density : molecular viscosity : turbulent viscosity : effective turbulent viscosity : prandtl numbers. . Fig. 8. Concentration contours of chemical speices in combustion chamber.. K‡+9 + V+nJ\ V+Ž nJ! jo 8 \t ‘ PO ª™\ ¯V+ ª™ „Æ à¥ V+Ž aV+ ª™ KÛ a  2. V+ iBd9 (2N V+ ÆJ î

(84)  -=. 2. V+X9 A  V+Ž 5 %c w 2. V+X (åÅ ª™ ÆJ F G . 2. V+X W Ž ¥

(85)  880 CKœ, iÄ+  #h 30 ppmQ

(86) 9 à] V+nJ! ‘% *. o.   ~ VWt R] MN ®Àt ]aˆ K‡+9 ,¶®wÈ9 " :;..  a. : absorption coefficient [m−1]. C1, C2, Cµ : empirical constants.  40 6 2002 12. 1. Han, J. H., Jeong, K. K., Choi, J. H. and Choi, S. M.: Int. J. Energy Res., 21, 899(1997). 2. Kwon, S. W. and Yi, J. H.: HWAHAK KONGHAK 36, 353(1998). 3. Park, B. S., Yun, Y. S., Seo, J. D. and Lee, J. W.: J. Korean Solid Waste Engineering Society, 17, 899(2000). 4. Shin, D., Choi, J. H., Nasserzadeh, V., Choi, S. and Swithenbank, J.: J. Institute of Energy, 72, 56(1999). 5. Magnussen, B. F. and Hjertager, H.: “On Mathematical Modeling of Turbulent Combustion with Special Emphasis on Soot Formation and Combustion,” 16th Symp. (Int.) on Comb., The Combustion Institute, Pittsburgh, 719(1976). 6. Lockwood, F. C., Salooja, A. P. and Syed, S. A.: Comb. and Flame, 38, 1(1978). 7. Kee, R. J. and Jefferson, T. H.: “A General Purpose, Problem Independent,” Transportable, Fortran Chemical Kinetics Code Package, Sandia National Laboratories Report SAND80-8003(1981). 8. Spalding, D. S.: “Proposal for a Diffusional Radiation Model, Unpublished Technical Memorandum,” CHAM, London(1994). 9. Viskanta, R. and Menguc, M. P.: Prog. Energy Combust. Sci., 13, 127(1987). 10. Launder, B. W. and Spalding, D. B.: “Mathematical Models of Turbulence,” Academic Press, New York(1972). 11. Patanker, S. V.: “Numerical Heat Transfer and Fluid Flow,” Hemishphere Publishing Corporation, New York(1980). 12. Seeker, W. R. and Lanier, W. S.: “Municipal Waste Combustion Assessment: Combustion Control of Organic Emission,” EPA report(1997)..

(87)

참조

관련 문서

Construction New construction sites, road repair sites, demolition of  buildings.

This study the changes in structure and mechanical characteristics by the analysis on mechanical characteristics of the welding part and the post weld

  Investigation of turnover comes from the job itself and in this study worked in a care facility for the elderly, Caregiver Stress, Burnout comes from

11:20 Preliminary Study on Conceptual Design Analysis of PCCS for SMART Hae Seong Lee, Soon Joon Hong, Yeon Joon Choo, and Jeong Hee Ha(FNC Tech.) Chun Tae Park, Young In Kim,

Therefore this study is to examine various characteristics of Doseon, extract the truth of tale inherent in the tale and show the aspects of Doseon tale

In this thesis, tracked vehicle's dynamic performance of the two models, single-body model and Multi-body model, were compared through the numerical simulation.. The

Further, in this course, students will learn all the capabilities necessary for the modeling of the practical fluid phenomena in the river and for the analysis

In this study, the different codes were compared and analyzed for the research on decontamination and decommissioning waste generation by using the codes