Stack gas dispersion measurements with Large Scale-PIV, Aspiration Probes and Light Scattering Techniques and comparison with CFD

Güneş Nakiboǧlu*, Catherine Gorlé, István Horváth, Jeroen van Beeck, Bert Blocken

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

The main purpose of this research is to manage simultaneous measurement of velocity and concentration in large cross-sections by recording and processing images of cloud structures to provide more detailed information for e.g. validation of CFD simulations. Dispersion from an isolated stack in an Atmospheric Boundary Layer (ABL) was chosen as the test case and investigated both experimentally and numerically in a wind tunnel. Large Scale-Particle Image Velocimetry (LS-PIV), which records cloud structures instead of individual particles, was used to obtain the velocity field in a vertical plane. The concentration field was determined by two methods: Aspiration Probe (AP) measurements and Light Scattering Technique (LST). In the latter approach, the same set of images used in the LS-PIV was employed. The test case was also simulated using the CFD solver FLUENT 6.3. Comparison between AP measurements and CFD revealed that there is good agreement when using a turbulent Schmidt number of 0.4. For the LST measurements, a non-linear relation between concentration and light intensity was observed and a hyperbolic-based function is proposed as correction function. After applying this correction function, a close agreement between CFD and LST measurements is obtained.
Original languageEnglish
Pages (from-to)3396-3406
Number of pages11
JournalAtmospheric Environment
Volume43
Issue number21
DOIs
Publication statusPublished - Jul 2009

Keywords

  • Atmospheric Boundary Layer (ABL)
  • Computational Fluid Dynamics (CFD)
  • Dispersion
  • Light Scattering Technique (LST)
  • Particle Image Velocimetry (PIV)
  • Turbulent Schmidt Number
  • Wind-tunnel fluid modeling

ASJC Scopus subject areas

  • General Environmental Science
  • Atmospheric Science

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