Fuentes, el reventón energético

Vol. 22 No. 1 (2024): Fuentes, el reventón energético
Articles

A NEW APPROACH TO PREDICT THE CASCADE EFFECT IN TURBINE FLOWMETERS APPLIED TO LIQUEFIED PETROLEUM GAS

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  • Tiago Miranda Pereira,
  • Jerson Rogério Pinheiro Vaz
Tiago Miranda Pereira
Federal University of Pará, Brazil
Jerson Rogério Pinheiro Vaz
Federal University of Pará, Brazil
DOI: https://doi.org/10.18273/revfue.v22n1-2024006

Published 2024-09-20

Keywords

  • Turbine flowmeter,
  • Computational Fluid Dynamics,
  • Blade Element Theory,
  • Cascade effect,
  • Liquefied Petroleum Gas

How to Cite

Miranda Pereira, T. ., & Pinheiro Vaz, J. R. . (2024). A NEW APPROACH TO PREDICT THE CASCADE EFFECT IN TURBINE FLOWMETERS APPLIED TO LIQUEFIED PETROLEUM GAS. Fuentes, El reventón energético, 22(1), 79–97. https://doi.org/10.18273/revfue.v22n1-2024006

Copyright (c) 2024 Fuentes, el reventón energético

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Turbine flowmeters are widely applied to quantify transferred amounts of liquid products due to their accuracy and large operational range. The development of mathematical tools is important to analyze and improve predictions of such meters behavior. Most turbine flowmeters have several blades, becoming the determination of lift and drag coefficients still a challenge. This makes the cascade effect indeed relevant, without which the performance of the turbine can be overestimated by the integral
method Blade Element Theory (BET). Hence, the present work proposes a new cascade correction into the BET model to predict the hydrodynamic behavior of turbine flowmeters applied to Liquefied Petroleum Gas (LPG). The proposed model calculates a correction to the cascade effect on an annular section of the rotor, in order to accurately predict lift and drag coefficients at each blade section. Operational parameters of the studied axial turbine meter are obtained from computational modeling and compared to field data of an existent measurement system for several operating conditions. For this analysis, computational fluid dynamics (CFD) techniques are employed. To validate the CFD model, computational results are compared to in-situ data acquired during the regular operation of the measurement system. As a result, the study indicates that the turbine flowmeter performance can be predicted by the proposed model based on BET, in which the field results of angular velocity and linearity can be precisely estimated.

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