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Desalination and Water Treatment
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Desalination and Water Treatment
Article . 2024
Data sources: DOAJ
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A study of the application of wet steam modeling for thermocompressor simulation in TVC desalination

Authors: Saeed Akbarnejad; Masoud Ziabasharhagh;

A study of the application of wet steam modeling for thermocompressor simulation in TVC desalination

Abstract

Recently, the wet steam model, grounded in classical nucleation theory, has been utilized for computational fluid dynamics (CFD) simulations of thermocompressors and steam ejectors. However, this model, which accounts for the formation of liquid droplets in a homogeneous non-equilibrium condensation process, presents computational challenges due to its complexity. Unlike the ideal gas model, it involves solving multiple equations concurrently with the Navier-Stokes equations, rendering it computationally intensive and difficult to converge. The primary objective of this study is to evaluate the feasibility and efficacy of employing this intricate wet-steam model for modeling steam thermocompressors, specifically analyzing its impact on pressure, temperature, and Mach number contours. This paper aims to investigate the influence of modeling non-equilibrium condensation on various parameters affecting ejector performance. Utilizing numerical simulations conducted via ANSYS Fluent software, employing both 2-D axisymmetric wet steam and ideal gas models, our study reveals that non-equilibrium condensation leads to a higher entrainment ratio and critical back pressure. Additionally, our findings indicate that while the wet steam model notably affects temperature contours, its effect on pressure and velocity contours is comparatively minimal. The CFD analysis found that pathline trajectories were similar with both ideal gas and wet steam models. Droplet formation and evaporation within the thermocompressor revealed a gradual evaporation up to the midpoint of the constant area section, followed by a rise in liquid mass fraction due to droplet formation. However, after the constant area section, a shock wave led to a sudden pressure increase and decrease in liquid mass fraction of wet steam. These changes persist through the diffuser section of the ejector.Furthermore, to enhance the reliability of our results, this research integrates a robust validation methodology. We compare experimental results obtained from ejector studies in the literature with our simulations. Moreover, we introduce an experimental section in our research, specifically addressing zero suction mass flow rate conditions, thereby offering a practical validation approach.

Related Organizations
Keywords

Ecology, Non-equilibrium condensation, Nucleation, Supersonic nozzles, Wet steam, Environmental technology. Sanitary engineering, TD1-1066, QH540-549.5, Steam ejector

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold