Turbulence modeling of a single-phase R134a supersonic ejector. Part 1: Numerical benchmark

Croquer, Sergio; Poncet, Sébastien; Aidoun, Zine

doi:10.1016/j.ijrefrig.2015.07.030

Cited by 97 publications

(39 citation statements)

References 27 publications

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“…Figure 2a compares the numerically predicted operation curve obtained by the k − ω SST in its low-Reynolds number formulation and the experimental data reported by Garcia et al [2]. Part 1 [1] There is a good overall agreement . The difference between the two present approaches is around 5% along the on-design conditions ( This ejector design performs quite well as the entrainment ratio in the on-design conditions is much higher than the one reported by Khalil et al…”

Section: Ejector Performance and Local Flow Featuressupporting

confidence: 53%

“…The present numerical set-up (flow solver, mesh grid, thermodynamic and turbulence models) is derived from the benchmark presented in Part 1 [1]. The CFD model is based on the k − ω SST model in its low-Reynolds number formulation and the REFPROP 7.0 database.…”

Section: Flow Solver and Numerical Detailsmentioning

confidence: 99%

“…This paper is the second part of a numerical investigation based on the supersonic ejector recently designed by Garcia et al [2] and working with R134a. In Part 1 [1], a numerical benchmark of three thermodynamic and four turbulence models has been performed. The lowReynolds number k − ω SST model associated with the REFPROP 7.0 database offered the best compromise between accuracy and computational efforts over the other models.…”

mentioning

confidence: 99%

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Turbulence modeling of a single-phase R134a supersonic ejector. Part 2: Local flow structure and exergy analysis

Croquer

Poncet

Aidoun

2016

International Journal of Refrigeration

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Section: Ejector Performance and Local Flow Featuressupporting

confidence: 53%

Section: Flow Solver and Numerical Detailsmentioning

confidence: 99%

mentioning

confidence: 99%

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Turbulence modeling of a single-phase R134a supersonic ejector. Part 2: Local flow structure and exergy analysis

Croquer

Poncet

Aidoun

2016

International Journal of Refrigeration

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“…The greatest differences are observed at the start of the diffuser (L7): 15%, 18.53% and 19.48% for P, T and Ma, respectively. These discrepancies may be partly explained by the 2D nature of the flow at this position highlighted by the CFD model [39]. In terms of global quantities, the primary and secondary mass flow rates according to the thermodynamic model (resp.…”

Section: Single-phase Ejectormentioning

confidence: 98%

“…Operating conditions correspond to Operating Point OP2 of Table 1, with T sec = 20 • C, P sec = 414.6 kPa and a fixed outlet pressure of 826.57 kPa. The CFD model is described in detail in Croquer et al [39]. An average deviation of 3% is achieved at the primary throat (L2) and after mixing (L4).…”

Section: Single-phase Ejectormentioning

confidence: 99%

Thermodynamic Modelling of Supersonic Gas Ejector with Droplets

Croquer

Poncet

Aidoun

2017

Entropy

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This study presents a thermodynamic model for determining the entrainment ratio and double choke limiting pressure of supersonic ejectors within the context of heat driven refrigeration cycles, with and without droplet injection, at the constant area section of the device. Input data include the inlet operating conditions and key geometry parameters (primary throat, mixing section and diffuser outlet diameter), whereas output information includes the ejector entrainment ratio, maximum double choke compression ratio, ejector efficiency, exergy efficiency and exergy destruction index. In single-phase operation, the ejector entrainment ratio and double choke limiting pressure are determined with a mean accuracy of 18% and 2.5%, respectively. In two-phase operation, the choked mass flow rate across convergent-divergent nozzles is estimated with a deviation of 10%. An analysis on the effect of droplet injection confirms the hypothesis that droplet injection reduces by 8% the pressure and Mach number jumps associated with shock waves occuring at the end of the constant area section. Nonetheless, other factors such as the mixing of the droplets with the main flow are introduced, resulting in an overall reduction by 11% of the ejector efficiency and by 15% of the exergy efficiency.

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Effects of working conditions on the performance of an ammonia ejector used in an ocean thermal energy conversion system

Zhai

Liu

et al. 2021

Can J Chem Eng

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Turbulence modeling of a single-phase R134a supersonic ejector. Part 1: Numerical benchmark

Cited by 97 publications

References 27 publications

Turbulence modeling of a single-phase R134a supersonic ejector. Part 2: Local flow structure and exergy analysis

Turbulence modeling of a single-phase R134a supersonic ejector. Part 2: Local flow structure and exergy analysis

Thermodynamic Modelling of Supersonic Gas Ejector with Droplets

Effects of working conditions on the performance of an ammonia ejector used in an ocean thermal energy conversion system

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