Design and optimization of novel dehumidification strategies based on modified nucleation model in three-dimensional cascade

Zhang, Xinzhe; Wang, Fangfang; Wang, Dingbiao; Jin, Zunlong; Zhou, Zhongning

doi:10.1016/j.energy.2019.115982

Cited by 39 publications

(10 citation statements)

References 44 publications

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“…Therefore, it is crucial to improve the dehumidification for steam turbines. The dehumidification characteristics were achieved by optimising the structures [15] and operating conditions [16], which were based on the nonequilibrium condensation in transonic flows.…”

Section: Introductionmentioning

confidence: 99%

A Novel Dehumidification Strategy to Reduce Liquid Fraction and Condensation Loss in Steam Turbines

Yang

Peng

Wen

2021

Entropy

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Massive droplets can be generated to form two-phase flow in steam turbines, leading to erosion issues to the blades and reduces the reliability of the components. A condensing two-phase flow model was developed to assess the flow structure and loss considering the nonequilibrium condensation phenomenon due to the high expansion behaviour in the transonic flow in linear blade cascades. A novel dehumidification strategy was proposed by introducing turbulent disturbances on the suction side. The results show that the Wilson point of the nonequilibrium condensation process was delayed by increasing the inlet superheated level at the entrance of the blade cascade. With an increase in the inlet superheated level of 25 K, the liquid fraction and condensation loss significantly reduced by 79% and 73%, respectively. The newly designed turbine blades not only remarkably kept the liquid phase region away from the blade walls but also significantly reduced 28.1% averaged liquid fraction and 47.5% condensation loss compared to the original geometry. The results provide an insight to understand the formation and evaporation of the condensed droplets inside steam turbines.

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Section: Introductionmentioning

confidence: 99%

A Novel Dehumidification Strategy to Reduce Liquid Fraction and Condensation Loss in Steam Turbines

Yang

Peng

Wen

2021

Entropy

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“…The difference of time between inertial recovery and temperature restoration is important where the velocity gradient is high, leading to a non-equilibrium condensation thermodynamics [12,13]. The liquid mass fraction, which could impact the measuring accuracy, has been stated to be predominantly determined by non-equilibrium condensations [14,15]. In addition, greater the degree of expansion, the greater the non-equilibrium condensate and a greater lack of irreversibility [16][17][18][19], as well as loss due to friction could affect the end results.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of probe parameters on performance of a transonic axial compressor

Islam

2021

PLoS ONE

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The paper shows the effect of the probe on the performance of a transonic axial speed compressor. The unobstructed flow case with the experimental data was validated and used as a guide for all subsequent study cases. The aerodynamic performance for different probe parameters were calculated numerically using ANSYS-CFX. This covered the results on compressor output from changing probe axial positions, the radial immersion depths, the size of the probe, and the total number of probes. The findings were evaluated in relation to the total pressure ratio, performance, margin of deflation and stability. The velocity part distributions further showed that the probe block and raises the flow Mach value, which is the explanation why the compressor rotor’s total pressure ratio is lost. In fact, the parameters of the sample will significantly influence the calculation outcomes and affect the standard margin. The range of stability was also affected, which changes the performance trend from the choke to the stall. Consequently, the collection of correct probe parameters with fewer impact on compressor output is addressed.

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“…In fact, it is a very common phenomenon. Therefore, similar models have been adjusted to simulate condensation in pure steam [22,23,24,25,26,27] or in other gases, such as CO2 [28].…”

Section: Introductionmentioning

confidence: 99%

Assessment of condensation models for moist air transonic flow prediction

et al. 2021

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The aim of this article is to thoroughly analyse the influence of condensation models on the modelling of condensation phenomena in transonic flow of moist air. The reason for the study was the fact that different condensation models are used by researchers to obtain satisfactory results of numerical modelling. The condensation models tested herein differ in the nucleation rate formula and the droplets growth equation. Four most often used condensation models were selected for detailed investigations. The results obtained from each model were compared with experiments for the nozzle flow. The main focus was on the location of the onset of the nucleation process. Moreover, the droplets growth intensity was compared and discussed. The nozzle flow CFD calculations were performed using the ANSYS Fluent commercial tool. Finally, the condensation model which is the most suitable for the moist air transonic flow was recommended.

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Design and optimization of novel dehumidification strategies based on modified nucleation model in three-dimensional cascade

Cited by 39 publications

References 44 publications

A Novel Dehumidification Strategy to Reduce Liquid Fraction and Condensation Loss in Steam Turbines

A Novel Dehumidification Strategy to Reduce Liquid Fraction and Condensation Loss in Steam Turbines

Numerical study of probe parameters on performance of a transonic axial compressor

Assessment of condensation models for moist air transonic flow prediction

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