Projects per year
Abstract
The measurement of void fraction in multiphase flow is important for a wide range of industrial processes. Existing methods for void fraction measurement require intrusive, expensive and potentially hazardous equipments which constrict the flow, adding both capital and operational costs. Two phase flow experiments were carried out at the National Engineering Laboratory (NEL) to measure void fraction via pressure drop in a vertical pipe. Additional experiments are carried out at Spirax Sarco Inc. to validate the efficacy of the method on steam/water flow mixtures at high temperature and pressure, in gas mass fraction range between 0.17 and 0.95 and void fraction range between 0.75 and 1.0. The void fraction calculated by the presented differential pressure (dP) method is confirmed via established correlations. The work demonstrates the efficacy of a low cost, non-intrusive method to determine void fraction in two phase flow over a wide range of flow conditions.
Original language | English |
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Article number | 102080 |
Number of pages | 14 |
Journal | Flow Measurement and Instrumentation |
Volume | 83 |
Early online date | 17 Nov 2021 |
DOIs | |
Publication status | Published - Mar 2022 |
Keywords
- Void fraction
- Multiphase flow
- Differential pressure
- Steam
- Geothermal
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Dive into the research topics of 'Determination of void fraction in wet-gas vertical flows via differential pressure measurement'. Together they form a unique fingerprint.Projects
- 2 Finished
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Amendment to 'The feasibility of measurement symptom of two-phase flow'
Non-EU industry, commerce and public corporations
1/07/20 → 31/10/20
Project: Research
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The feasibility of Measurement System of Two-Phase Flow
UK industry, commerce and public corporations
4/02/19 → 30/09/19
Project: Research
Datasets
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Data for publication "Determination of Void Fraction in Wet-Gas Vertical Flows via Differential Pressure Measurement"
Tait, P. (Creator), Jia, J. (Creator), Chen, Y. (Creator), Senjyu, W. (Creator), Toru, W. (Creator), Yasuo, I. (Creator), Presotto, V. (Creator), Mojsak, R. (Creator) & Chinello, G. (Creator), Edinburgh DataShare, 15 Nov 2021
DOI: 10.7488/ds/3168, https://doi.org/10.1016/j.flowmeasinst.2021.102080
Dataset