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Arabian Journal for Science and Engineering

, Volume 44, Issue 2, pp 1057–1067 | Cite as

Geometrical Impaction of Supersonic Nozzle on the Dehumidification Performance During Gas Purification Process: an Experimental Study

  • Esam I. JassimEmail author
Research Article - Mechanical Engineering
  • 24 Downloads

Abstract

The removal process of undesirable non-gaseous particles from ore natural gas is still a challenge due to the absence of reliable equipment that achieve high filtration performance. Supersonic nozzle has recently been introduced as a robust means to meet such demands. However, it continues to be a great need to identify the optimal shape of the supersonic nozzle that possesses capability of separating out particles at maximum efficiency. The present study addresses experimentally the capturing efficiency and performance of the Convergent–Divergent Nozzle at various geometries. It also quantifies the particle separation performance and the pressure recovery factor at various NPRs. The experimental results have shown that triangular shape is the most efficient geometry at NPR of 2. However, conical nozzle performs separation better than the others at relatively low NPRs. In contrast, the pentagonal nozzle is the poorest for all NPRs. In terms of pressure recovery at the exit of the nozzle separation system, although the pentagonal shape recovers about 85% of the inlet gas pressure at moderate NPRs, the conical shape pressure recovery factor reaches to 90% at low NPRs.

Keywords

Supersonic nozzle Nozzle geometry Dehumidification efficiency Pressure recovery factor Separation performance 

Nomenclature

A

Nozzle area \((\hbox {m}^{2})\)

n

Number of sides

s

Length of a side

r

Apothem (radius of inscribed circle)

R

Radius of circumcircle

k

Turbulence kinetic energy \((\hbox {m}^{2}/\hbox {s}^{2})\)

L

Nozzle length, m

NPR

Nozzle pressure ratio \((\hbox {p}_{01}/\hbox {p}_{\mathrm{a}})\)

P

Pressure \((\hbox {N}/\hbox {m}^{2})\)

T

Temperature (\(^{\circ }\hbox {C}\) or K)

w

Width (m)

\(\rho \)

Density \((\hbox {kg}/\hbox {m}^{3})\)

\(\varphi \)

Humidity ratio

\(\eta _{\mathrm{separation}}\)

Particle separation efficiency

\(\omega \)

Moisture content (\(\hbox {kg}/\hbox {kg-air}\))

\(\varepsilon \)

Turbulence kinetic energy dissipation \((\hbox {m}^{2}/\hbox {s}^{2})\)

Subscript

db

Dry bulb

dew

Dew point

s

Saturated

v

Vapor

atm

Ambient

out

Exit

in

Inlet

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References

  1. 1.
    Gas, N.: Supersonic nozzle efficiently separates natural gas components. Oil Gas J 53 (2005)Google Scholar
  2. 2.
    Ashtiani, A.J.; Haghnejat, A.; Sharif, M.; Fazli, A.: Investigation on new innovation in natural gas dehydration based on supersonic nozzle technology. Indian J. Sci. Technol. 8(S9), 450–454 (2015)CrossRefGoogle Scholar
  3. 3.
    Wen, C.; Feng, Y.; Witt, P.; Cao, X.; Yang, Y.: CFD simulation of supersonic swirling separation of natural gas using a delta wing. In: Ninth International Conference on CFD in the Minerals and Process Industries CSIRO, Melbourne, Australia (2012)Google Scholar
  4. 4.
    Okimoto, F.; Brouwer, J.: Supersonic gas condition. World Oil 223(8), 53–58 (2002)Google Scholar
  5. 5.
    Jassim, E.; Abedinzadegan Abdi, M.; Muzychka, Y.: Computational fluid dynamics study for flow of natural gas through high pressure supersonic nozzles: Part 1. Real gas effects and shockwave. J. Pet. Sci. Technol. 26(15), 1757–1772 (2008)CrossRefGoogle Scholar
  6. 6.
    Alfyorov, V.; Bagirov, L.; Dmitriev, L.; Feygin, V.; Imaev, S.; Lacey, J.: Supersonic nozzle efficiently separates natural gas components. Oil Gas J 103(2), 53–58 (2005)Google Scholar
  7. 7.
    Yang, Y.; Wen, C.; Wang, S.; Feng, Y.: Numerical simulation of real gas flows In natural gas supersonic separation processing. J. Nat. Gas Sci. Eng. 21, 829–836 (2014)CrossRefGoogle Scholar
  8. 8.
    Xingwei, L.; Zhongliang, L.; Yanxia, L.: Numerical study of the high speed compressible flow with non-equilibrium condensation in a supersonic separator. J. Clean Energy Technol. 3(5), 360–366 (2015)CrossRefGoogle Scholar
  9. 9.
    Abdi, M.A.; Jassim, E.; Haghighi, M.; Muzychka, Y.: Applications of CFD in natural gas processing and transportation. In: Hyoung Woo OH (eds) Computational Fluid Dynamics, p. 420. InTech, Croatia (2010)Google Scholar
  10. 10.
    Yang, Y.; Wen, C.; Wang, S.; Feng, Y.; Witt, P.: The swirling flow structure in supersonic separators for natural gas dehydration. RSC Adv. 4, 52967–52972 (2014)CrossRefGoogle Scholar
  11. 11.
    Maatschappij, B.V.: Removing a Gaseous Component from a Fluid. AU. Patent No. 725574, 10 October, Shell Internationale Research (2000)Google Scholar
  12. 12.
    Veen, V.: Removing Solids from a Fluid. US Patent No. 6,280,502, 21 August (2001)Google Scholar
  13. 13.
    Wen, C.; Cao, X.; Yang, Y.; Li, W.: Numerical simulation of natural gas flows in diffusers for supersonic separators. Energy 37, 195–200 (2012)CrossRefGoogle Scholar
  14. 14.
    Wen, C.; Cao, X.; Yang, Y.: Swirling flow of natural gas in supersonic separators. J. Chem. Eng. Process. 50, 644–649 (2011)CrossRefGoogle Scholar
  15. 15.
    Yang, Y.; Wen, C.; Wang, S.; Feng, Y.: Theoretical and numerical analysis on pressure recovery of supersonic separators for natural gas dehydration. Appl. Energy 132, 248–253 (2014)CrossRefGoogle Scholar
  16. 16.
    Wen, C.; Cao, X.; Yang, Y.; Zhang, J.: Evaluation of natural gas dehydration in supersonic swirling separators applying the Discrete Particle Method. Adv. Powder Technol. 23, 228–233 (2012)CrossRefGoogle Scholar
  17. 17.
    Rajaee Shooshtari, S.H.; Shahsavand, A.: Reliable prediction of condensation rates for purification of natural gas via supersonic separators. J. Sep. Purif. Technol. 116, 458–470 (2013)CrossRefGoogle Scholar
  18. 18.
    Mahmoodzadeh Vaziri, B.; Shahsavand, A.: Analysis of supersonic Separators geometry using generalized radial basis function (GRBF) artificial neural networks. J. Nat. Gas Sci. Eng. 13, 30–41 (2013)CrossRefGoogle Scholar
  19. 19.
    Jassim, E.I.: CFD study on particle separation performance by shock inception during natural gas flow in supersonic nozzle. Prog. Comput. Fluid Dyn. Int. J. 16(5), 300–312 (2016)MathSciNetCrossRefGoogle Scholar
  20. 20.
    AHRI Standard 911 (2014) Performance Rating of Indoor Pool DehumidifiersGoogle Scholar

Copyright information

© King Fahd University of Petroleum & Minerals 2018

Authors and Affiliations

  1. 1.Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia

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