화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.27, No.1, 83-90, January, 2010
DOI10.1007/s11814-009-0297-1  Export Citation
A study on vortex generators to improve the mixing rate in the dry sorbent injection process of the flue gas desulfurization system
Jin Do Chung†, Jang Woo Kim1, and Young Moon Park2
  • Department of Environmental Engineering, Hoseo University, Asan 336-795, Korea
  • 1Department of Display Engineering, Hoseo University, Asan 336-795, Korea
  • 2Department of Semiconductor & Display Engineering, Graduate School, Hoseo University, Asan 336-795, Korea
E-mail:
The aim of this study is to improve mixing rate of dry sorbent injection technology (DSI). A CFD (Computational Fluid Dynamics) code is used to predict the sorbent dispersion rate, pressure drop and turbulent kinetic energy of mixing particles and gas flow for three different vortex generators, which have been designed for the inside of the duct. After analyzing simulated results, it was shown that a similar trend of change in the dispersion rate in three different vortex generators had taken place and that the dispersion rate curve could reach over 80% by applying the lobed-plate and guide-vane(B) vortex generators. The lowest pressure drop was obtained when a lobed-plate was installed, whereas the highest pressure drop occurred when a guide-vane(A) was installed. The turbulent kinetic energy is nearly always stable when a lobed-plate is applied, but increases very quickly after passing through a guide-vane and then slowly decreases when a guide-vane(B) is applied. The situation for in the case of guide-vane(A) is somewhat more complicated.
Keywords:Dry Sorbent Injection (DSI);Vortex Generator;Gas-solid Flow;Sorbent Dispersion
  1. Nolan PS, Coal-Tech 2000 International Conference, Jakarta, Indonesia (2000)
  2. Kang SW, Oh SC, Lee HP, Kim HT, Yoo KO, Korean Chem. Eng. Res., 37, 250 (1999)
  3. Collado FJ, Environmental Progress, 22, 189 (2003)
  4. Cooper NJ, Merati P, 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada (2005)
  5. Thakker A, Dhanasekaran TS, Renew. Energy, 30, 1359 (2005)
  6. Slone AK, Croft TN, Williams AJ, Cross M, Advances in Engineering Software, 38, 244 (2007)
  7. PARK CY, LEE YC, CHUNG SH, SOHN ES, Korean J. Chem. Eng., 7(4), 296 (1990)
  8. McKenty F, Gravel L, Camarero R, Korean J. Chem. Eng., 16(4), 482 (1999)
  9. Garea A, Viguri JR, Irabien A, Chem. Eng. Sci., 52(5), 715 (1997)
  10. Bhasker C, Advances in Engineering Software, 33, 71 (2002)
  11. Chung JD, Kim JW, Kim BH, Park YM, J. of KSEE, 29, 47 (2007)
  12. Fluent 6.2 User’s Guide.
  13. Patanker SV, McGraw-Hill (1980)