Progress in Superconductivity and Cryogenics (한국초전도ㆍ저온공학회논문지)

The Korean Society of Superconductivity and Cryogenics (한국초전도저온학회)
권호 표지
DOI QR코드

DOI QR Code

Optimization approach of insulation thickness of non-vacuum cryogenic storage tank

  • MZAD, Hocine (Department of Mechanical Engineering, Badji Mokhtar University of Annaba) ;
  • HAOUAM, Abdallah (Department of Mechanical Engineering, Badji Mokhtar University of Annaba)
  • Received : 2019.12.01
  • Accepted : 2020.03.14
  • Published : 2020.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Cryogenic insulation systems, with proper materials selection and execution, can offer the highest levels of thermal performance. Insulations are listed in order of increasing performance and, generally, in order of increasing cost. The specific insulation to be used for a particular application is determined through a compromise between cost, ease of application and the effectiveness of the insulation. Consequently, materials, representative test conditions, and engineering approach for the particular application are crucial to achieve the optimum result. The present work is based on energy cost balance for optimizing the thickness of insulated chambers, using foamed or multi layered cryogenic shell. The considered insulation is a uniformly applied outer layer whose thickness varies with the initial and boundary conditions of the studied vessel under steady-state radial heat transfer. An expression of the optimal insulation thickness derived from the total cost function and depending on the geometrical parameters of the container is presented.

Keywords

References

  1. E. V. Onosovskii, L. M. Stolper, N. A. Kulik, V. Ya. Kostritskii, Selection of the optimum type and thickness of insulation for cryogenic tanks, Chemical and Petroleum Engineering, 20(7), 309-313, (1984). https://doi.org/10.1007/BF01246684
  2. T. R. Gathright, P. A. Reeve, Effect of multilayer insulation on radiation heat transfer at cryogenic temperatures, IEEE Transactions on Magnetics, 24(2), 1105-1108, (1988). https://doi.org/10.1109/20.11423
  3. S. Jacob, S. Kasthurirengan, R. Karunanithi, Investigations into the thermal performance of multilayer insulation (300-77K) Part 1: Calorimetric studies, Cryogenics, 32(12), 1137-1146, (1992). https://doi.org/10.1016/0011-2275(92)90328-8
  4. M. Chorowski, P. Grzegory, C. Parente, G. Riddone, Experimental and mathematical analysis of multilayer insulation below 80 k, 18th Int. Cryogenic Eng. Conf., Mumbai, 21-25 Feb., 347-350, (2000).
  5. I. Timar, Optimization of the insulating strength of pipelines, Forschung im Ingenieurwesen, 68(2), 96-100, (2003). https://doi.org/10.1007/s10010-003-0110-y
  6. J. Fesmire, S. Augustynowicz, C. Darve, Performance characterization of perforated multilayer insulation blankets, 19th Int. Cryogenic Eng. Conf., Grenoble, 22-26 July, 843-846, (2002).
  7. T. Ohmori, Thermal performance of multilayer insulation around a horizontal cylinder, Cryogenics, 45(12), 725-732, (2005). https://doi.org/10.1016/j.cryogenics.2005.06.009
  8. T.C. Nast, D.J. Frank, J. Feller, Multilayer insulation considerations for large propellant tanks, Cryogenics, 64, 105-111, (2014). https://doi.org/10.1016/j.cryogenics.2014.02.014
  9. M. Mehrpooya, M.M.M. Sharifzadeh, M.A. Rosen, Optimum design and exergy analysis of a novel cryogenic air separation process with LNG (liquefied natural gas) cold energy utilization, Energy, 90(2), 2047-2069, (2015). https://doi.org/10.1016/j.energy.2015.07.101
  10. Y. Huang, B. Wang, S. Zhou, J. Wu, G. Lei, P. Li, P. Sun, Modeling and experimental study on combination of foam and variable density multilayer insulation for cryogen storage, Energy, 123, 487-498, (2017). https://doi.org/10.1016/j.energy.2017.01.147
  11. W.B. Jiang, Z.Q. Zuo, Y.H. Huang, B. Wang, P.J. Sun, P. Li, Coupling optimization of composite insulation and vapor-cooled shield for on-orbit cryogenic storage tank, Cryogenics, 96, 90-98, (2018). https://doi.org/10.1016/j.cryogenics.2018.10.008
  12. D. Kim, C. Hwang, T. Gundersen, Y. Lim, Process design and economic optimization of boil-off-gas re-liquefaction systems for LNG carriers, Energy, 173, 1119-1129, (2019). https://doi.org/10.1016/j.energy.2019.02.098
  13. B. Deng, S. Yang, X. Xie, Y. Wang, X. Bian, L. Gong, Q. Li, Study of the thermal performance of multilayer insulation used in cryogenic transfer lines, Cryogenics, 100, 114-122, (2019). https://doi.org/10.1016/j.cryogenics.2019.01.005
  14. J.E. Fesmire, Layered composite thermal insulation system for nonvacuum cryogenic applications, Cryogenics, 74, 154-165, (2016). https://doi.org/10.1016/j.cryogenics.2015.10.008
  15. R.R. Conte, Elements of cryogenics, Edition Masson & Cie, p. 332, Paris, (1970).
  16. H. Mzad, A simple mathematical procedure to estimate heat flux in machining using measured surface temperature with infrared laser, Case Studies in Thermal Engineering, 6, 128-135, (2015). https://doi.org/10.1016/j.csite.2015.09.001
  17. H. Mzad, R. Khelif, Numerical approach for reliability based inspection periods (RBIP) of fluid pipes, Case Studies in Thermal Engineering, 10, 207-215, (2017). https://doi.org/10.1016/j.csite.2017.06.004

Cited by

  1. Simple predictive heat leakage estimation of static non-vacuum insulated cryogenic vessel vol.22, pp.3, 2020, https://doi.org/10.9714/psac.2020.22.3.025