2022
DOI: 10.3389/fenrg.2022.902629
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Numerical Analysis of the Condensing Steam Flow by Means of ANSYS Fluent and in-House Academic Codes With Respect to the Capacity for Thermodynamic Assessment

Abstract: In this paper numerical analysis of the condensing steam flow in a converging-diverging nozzle is investigated. The ANSYS Fluent results are compared with the results of the in-house academic Computational fluid dynamics code with respect to the capacity for thermodynamic assessment. The “local” real gas equation of state is used as a mathematical complement of flow governing equations in the in-house code. In the Fluent code, the thermodynamic functions as well as the steam and water physical properties are c… Show more

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Cited by 7 publications
(3 citation statements)
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“…In ANSYS CFX, the physical properties of steam and water were computed based on the Industrial Formulation for Thermodynamic Properties of Water and Steam (IAPWS97) formulations [26]. As the IAPWS formulations cannot predict the thermodynamic properties of the gas phase in the wet steam region (i.e., the region below the saturation line), a local real gas equation of state (EOS in Table 1) was defined in our in-house code to cover this region [27]. For the condensation model as shown in Table 1, J is the nucleation rate (the number of new droplets per unit volume per second) and in both codes was calculated according to the classical homogeneous nucleation theory [28] (nucleation rate in Table 1) and adjusted for non-isothermal effects (C is the non-isothermal Kantrowitz correction factor in the nucleation rate in Table 1) [29].…”
Section: Droplet Growth Ratementioning
confidence: 99%
“…In ANSYS CFX, the physical properties of steam and water were computed based on the Industrial Formulation for Thermodynamic Properties of Water and Steam (IAPWS97) formulations [26]. As the IAPWS formulations cannot predict the thermodynamic properties of the gas phase in the wet steam region (i.e., the region below the saturation line), a local real gas equation of state (EOS in Table 1) was defined in our in-house code to cover this region [27]. For the condensation model as shown in Table 1, J is the nucleation rate (the number of new droplets per unit volume per second) and in both codes was calculated according to the classical homogeneous nucleation theory [28] (nucleation rate in Table 1) and adjusted for non-isothermal effects (C is the non-isothermal Kantrowitz correction factor in the nucleation rate in Table 1) [29].…”
Section: Droplet Growth Ratementioning
confidence: 99%
“…He introduced a correction function for the heat transfer coefficient by utilizing an empirical correlation. Some researchers have used this model in their research [12,13]. Fuchs and Sutugin amended Gyarmathy's equation, proposing the utilization of the mass flow ratio between the transition phase and the free molecular regime as the corrective coefficient.…”
Section: Introductionmentioning
confidence: 99%
“…Shabani et al (2022) modelled numerically the condensing steam flow in a converging-diverging nozzle using an in-house CFD code to construct heterogeneous and homogeneous condensation models. In another study, they used a local real gas equation of state in their in-house CFD code and compared the results with the ANSYS Fluent results (Shabani et al , 2022). Zhang et al (2023) modelled non-equilibrium condensing flows in a steam ejector.…”
Section: Introductionmentioning
confidence: 99%