Modeling of growth and dynamics of droplets during dropwise condensation of steam

Mirafiori, Matteo; Tancon, Marco; Bortolin, Stefano; Del Col, Davide

doi:10.1016/j.ijheatmasstransfer.2023.125109

Cited by 11 publications

(1 citation statement)

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“…Considering that steam turbines are a vital part of the power industry, it is extremely important to investigate condensing steam flows in the low-pressure stages of a machine. It is also necessary to improve the prediction of the flow behavior and the accuracy of CFD results [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a New Droplet Growth Model for Small Droplets in Condensing Steam Flows

Shabani,

Majkut,

Dykas

et al. 2024

Energies

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As the condensation phenomenon occurs in the low-pressure stages of steam turbines, an accurate modelling of the condensing flows is very crucial and has a significant impact on the development of highly efficient steam turbines. In order to accurately simulate condensing steam flows, it is essential to choose the right condensation model. Further research to enhance condensation models is of special importance because the outcomes of numerical studies of condensation models in recent years have not been entirely compatible with the experiments and there are still uncertainties in this area. Therefore, the main aim of this paper is to evaluate a proposed droplet growth model for modelling condensation phenomenon in condensing steam flows. The new model is derived to profit from the advantages of models based on the continuum approach for large droplets and those based on the kinetic theorem for small droplets, which results in the model being robust for a wide range of Knudsen numbers. The model is implemented into a commercial CFD tool, ANSYS Fluent 2022 R1, using UDFs. The results of the CFD simulations are validated against experimental data for linear cascades within the rotor and stator blade geometries of low-pressure steam turbine stages. The findings clearly demonstrate the superiority of the new model in capturing droplet growth, particularly for very small droplets immediately following nucleation. In contrast, widely used alternative droplet growth models tend to either underpredict or overpredict the droplet growth rate. This research significantly contributes to the ongoing efforts to enhance condensation modeling, providing a more accurate tool for optimizing the design and operation of low-pressure steam turbines, ultimately leading to a higher energy efficiency and a reduced environmental impact.

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Section: Introductionmentioning

confidence: 99%