Determining average flow speed in a scale model smokestack by measuring correlated noise through a long-wavelength acoustic flow meter

As part of its Greenhouse Gas and Climate Science Measurements Program, the National Institute of Standards and Technology (NIST) has successfully developed long-wavelength acoustic flowmeters (LWAFs) to measure the average flow speed, V, and the speed of sound, c, for a fluid passing through 1:100...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America Vol. 140; no. 4; p. 3259
Main Authors: Abbott, JohnPaul R., Gillis, Keith A., Moldover, Michael R., Gorny, Lee J.
Format: Journal Article
Language:English
Published: 01-10-2016
Online Access:Get full text
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Summary:As part of its Greenhouse Gas and Climate Science Measurements Program, the National Institute of Standards and Technology (NIST) has successfully developed long-wavelength acoustic flowmeters (LWAFs) to measure the average flow speed, V, and the speed of sound, c, for a fluid passing through 1:100 scale test model of a coal-burning power plant smokestack with standard measurement uncertainties of less than 1% and 0.1%, respectively. This improves upon the estimated 5-20% standard measurement uncertainty for existing technologies. With this success NIST has constructed a 1:10 scale test model for further investigation. Current LWAF measurement techniques are reliant on a good signal-to-noise ratios (SNR), which may be problematic for the 1:10 scale test model since the amount of turbulence and difficulty generating high-amplitude low-frequency excitation signals at larger scales increases. Anticipating poorer SNRs for larger scale test models, NIST is investigating the use of the LWAF to correlate low-frequency acoustic noise, flow noise, and other excitation signals as an alternative technique to measure V and c with the goal of obtaining the same standard measurement uncertainties of less than 1% and 0.1%, respectively. The latest results of this ongoing investigation are presented.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.4970320