Advertisement

Optimization on temperature efficiency and switch time of thin-walled regenerator with perturbation analysis

  • Ai Yuan-fang Email author
  • Mei Chi 
  • Jiang Shao-jian 
  • Huang Guo-dong 
  • Chen Hong-rong 
Article
  • 39 Downloads

Abstract

The heat transfer characteristic of honeycomb ceramic regenerator was optimized by the perturbation analytical-numerical method. The results show that there is a temperature efficiency peak and the corresponding optimal switch time. The decrease of air oxygen concentration leads to the decrease of maximum temperature efficiency. Optimal switch time is directly proportional to the matrix thickness. The solid heat conduction along the flow direction and the regenerator heat storage capacity of the unit volume have no impact on maximum temperature efficiency and optimal switch time. The temperature efficiency tendency based on the semi-analysis is the same as dispersion combustion tests with low oxygen concentration, and optimal switch time of 2–4 s agrees well with that of 4 s in high-temperature gasification tests. The possibility of design, operate and control a thin-walled regenerator with high efficiency by means of the perturbation method is proved.

Key words

thin-walled regenerator perturbation temperature efficiency switch time 

CLC number

TF066.2+TK223.3+

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Hiroshi T, Gupta A, Hasegawa T, et al. High temperature air combustion from energy conservation to pollution reduction [M]. New York: CRC Press, 2003.Google Scholar
  2. [2]
    CHUN Xu-tun, JIAN Duo-tian. Application and development of honeycomb regenerative combustion system [J]. Industrial Heating, 1998, 35(3): 26–35. (in Japanese)Google Scholar
  3. [3]
    Zhu S, Matsubara Y. A numerical method of regenerator [J]. Cryogenics, 2004, 44: 131–140.CrossRefGoogle Scholar
  4. [4]
    Zarrinehkafsh M T, Sadrameli S M. Simulation of fixed bed regenerative heat exchangers for flue gas heat recovery[J]. Applied Thermal Engineering, 2004, 24: 373–382.CrossRefGoogle Scholar
  5. [5]
    Muralidhar K, Suzuki K. Analysis of flow and heat transfer in a regenerator mesh using a non-Darcy thermally non-equilibrium model [J]. International Journal of Heat and Mass Transfer, 2001, 44: 2493–2504.CrossRefGoogle Scholar
  6. [6]
    Skiepko T, Shah R K. Modeling and effect of leakages on heat transfer performance of fixed matrix regenerators [J]. International Journal of Heat and Mass Transfer, 2005, 48: 1608–1632.CrossRefGoogle Scholar
  7. [7]
    Rafidi N, Blasiak W. Thermal performance analysis on a two composite material honeycomb heat regenerators used for HiTAC Burners[J]. Applied Thermal Engineering, 2005, 25: 2966–2982.CrossRefGoogle Scholar
  8. [8]
    LI Jin, FU Wei-biao, HOU Ling-yun. Numerical analysis for a regenerative and generative hydrogen unit[J]. Journal of Combustion Science and Technology, 2003, 9(3): 261–266. (in Chinese)Google Scholar
  9. [9]
    LI Wei, QI Hai-ying, YOU Chang-fu, et al. Numeric research on heat transfer in honeycomb regenerator [J]. Journal of Engineering Thermophysics, 2001, 22(5): 657–660. (in Chinese)Google Scholar
  10. [10]
    Hill A, Willmott A J. Accurate and rapid thermal regenerator calculations [J]. International Journal of Heat Mass Transfer, 1989, 32: 465–476.CrossRefGoogle Scholar
  11. [11]
    Dragutinovic G D, Baclic B S. Operation of counterflow regenerators Vol. 4 International series on developments in heat transfer[M]. Boston: Computational Mechanics Publications, 1998.Google Scholar
  12. [12]
    Zheng C H, Clements B. The thermal performance characteristics of regenerators in HiTACG furnaces [C]// Gaswärme-Institute e. V. Essen. 6th International Symposium on High Temperature Air Combustion and Gasification. Ruhrgebiet: Gas Wärme-Institute, 2005: A9.1–9.12.Google Scholar
  13. [13]
    Klein H, Eigenberger G. Approximate solutions for metallic regenerative heat exchangers[J]. International Journal of Heat and Mass Transfer, 2001, 44: 3553–3563.CrossRefGoogle Scholar
  14. [14]
    LI Zhao-xiang, LU Zhong-wu, CAI Jiu-ju. Mathematic and statistic method for analysis on heat transfer in a packed bed[J]. Journal of Northeastern University: Natural Science, 1998, 19(5): 484–487. (in Chinese)Google Scholar
  15. [15]
    Nayfeh A H. Perturbation methods[M]. New York: John Wiley & Sons, Inc., 2000.CrossRefGoogle Scholar
  16. [16]
    Mohri T, Yoshioka T, Hozumi Y, et al. Development on advanced high-temperature air combustion technology for steam reforming[C] // Proceedings of 2001 Joint International Combustion Symposium. Hawaii, 2001.Google Scholar

Copyright information

© Science Press 2001

Authors and Affiliations

  • Ai Yuan-fang 
    • 1
    Email author
  • Mei Chi 
    • 1
  • Jiang Shao-jian 
    • 1
  • Huang Guo-dong 
    • 1
  • Chen Hong-rong 
    • 1
  1. 1.School of Energy Science and EngineeringCentral South UniversityChangshaChina

Personalised recommendations