Optimization of two-phase R600a ejector geometries using a non-equilibrium CFD model

Moon Soo Lee, Hoseong Lee, Yunho Hwang, Reinhard Radermacher, Hee Moon Jeong

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

A vapor compression cycle, which is typically utilized for the heat pump, air conditioning and refrigeration systems, has inherent thermodynamic losses associated with expansion and compression processes. To minimize these losses and improve the energy efficiency of the vapor compression cycle, an ejector can be applied. However, due to the occurrence of complex physics i.e., non-equilibrium flashing compressible flow in the nozzle with possible shock interactions, it has not been feasible to model or optimize the design of a two-phase ejector. In this study, a homogeneous, non-equilibrium, two-phase flow computational fluid dynamics (CFD) model in a commercial code is used with an in-house empirical correlation for the mass transfer coefficient and real gas properties to perform a geometric optimization of a two-phase ejector. The model is first validated with experimental data of an ejector with R600a as the working fluid. After that, the design parameters of the ejector are optimized using multi-objective genetic algorithm (MOGA) based online approximation-assisted optimization (OAAO) approaches to find the maximum performance.

Original languageEnglish
Pages (from-to)272-282
Number of pages11
JournalApplied Thermal Engineering
Volume109
DOIs
Publication statusPublished - 2016 Oct 25

Fingerprint

Dynamic models
Computational fluid dynamics
Vapors
Geometry
Compressible flow
Refrigeration
Air conditioning
Two phase flow
Energy efficiency
Nozzles
Mass transfer
Physics
Genetic algorithms
Pumps
Thermodynamics
Fluids
Gases
Hot Temperature

Keywords

  • Ejector
  • MOGA
  • OAAO
  • R600a
  • Two-phase CFD

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

Cite this

Optimization of two-phase R600a ejector geometries using a non-equilibrium CFD model. / Lee, Moon Soo; Lee, Hoseong; Hwang, Yunho; Radermacher, Reinhard; Jeong, Hee Moon.

In: Applied Thermal Engineering, Vol. 109, 25.10.2016, p. 272-282.

Research output: Contribution to journalArticle

Lee, Moon Soo ; Lee, Hoseong ; Hwang, Yunho ; Radermacher, Reinhard ; Jeong, Hee Moon. / Optimization of two-phase R600a ejector geometries using a non-equilibrium CFD model. In: Applied Thermal Engineering. 2016 ; Vol. 109. pp. 272-282.
@article{5e6512dd3606446b80d141e0caff3f93,
title = "Optimization of two-phase R600a ejector geometries using a non-equilibrium CFD model",
abstract = "A vapor compression cycle, which is typically utilized for the heat pump, air conditioning and refrigeration systems, has inherent thermodynamic losses associated with expansion and compression processes. To minimize these losses and improve the energy efficiency of the vapor compression cycle, an ejector can be applied. However, due to the occurrence of complex physics i.e., non-equilibrium flashing compressible flow in the nozzle with possible shock interactions, it has not been feasible to model or optimize the design of a two-phase ejector. In this study, a homogeneous, non-equilibrium, two-phase flow computational fluid dynamics (CFD) model in a commercial code is used with an in-house empirical correlation for the mass transfer coefficient and real gas properties to perform a geometric optimization of a two-phase ejector. The model is first validated with experimental data of an ejector with R600a as the working fluid. After that, the design parameters of the ejector are optimized using multi-objective genetic algorithm (MOGA) based online approximation-assisted optimization (OAAO) approaches to find the maximum performance.",
keywords = "Ejector, MOGA, OAAO, R600a, Two-phase CFD",
author = "Lee, {Moon Soo} and Hoseong Lee and Yunho Hwang and Reinhard Radermacher and Jeong, {Hee Moon}",
year = "2016",
month = "10",
day = "25",
doi = "10.1016/j.applthermaleng.2016.08.078",
language = "English",
volume = "109",
pages = "272--282",
journal = "Applied Thermal Engineering",
issn = "1359-4311",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Optimization of two-phase R600a ejector geometries using a non-equilibrium CFD model

AU - Lee, Moon Soo

AU - Lee, Hoseong

AU - Hwang, Yunho

AU - Radermacher, Reinhard

AU - Jeong, Hee Moon

PY - 2016/10/25

Y1 - 2016/10/25

N2 - A vapor compression cycle, which is typically utilized for the heat pump, air conditioning and refrigeration systems, has inherent thermodynamic losses associated with expansion and compression processes. To minimize these losses and improve the energy efficiency of the vapor compression cycle, an ejector can be applied. However, due to the occurrence of complex physics i.e., non-equilibrium flashing compressible flow in the nozzle with possible shock interactions, it has not been feasible to model or optimize the design of a two-phase ejector. In this study, a homogeneous, non-equilibrium, two-phase flow computational fluid dynamics (CFD) model in a commercial code is used with an in-house empirical correlation for the mass transfer coefficient and real gas properties to perform a geometric optimization of a two-phase ejector. The model is first validated with experimental data of an ejector with R600a as the working fluid. After that, the design parameters of the ejector are optimized using multi-objective genetic algorithm (MOGA) based online approximation-assisted optimization (OAAO) approaches to find the maximum performance.

AB - A vapor compression cycle, which is typically utilized for the heat pump, air conditioning and refrigeration systems, has inherent thermodynamic losses associated with expansion and compression processes. To minimize these losses and improve the energy efficiency of the vapor compression cycle, an ejector can be applied. However, due to the occurrence of complex physics i.e., non-equilibrium flashing compressible flow in the nozzle with possible shock interactions, it has not been feasible to model or optimize the design of a two-phase ejector. In this study, a homogeneous, non-equilibrium, two-phase flow computational fluid dynamics (CFD) model in a commercial code is used with an in-house empirical correlation for the mass transfer coefficient and real gas properties to perform a geometric optimization of a two-phase ejector. The model is first validated with experimental data of an ejector with R600a as the working fluid. After that, the design parameters of the ejector are optimized using multi-objective genetic algorithm (MOGA) based online approximation-assisted optimization (OAAO) approaches to find the maximum performance.

KW - Ejector

KW - MOGA

KW - OAAO

KW - R600a

KW - Two-phase CFD

UR - http://www.scopus.com/inward/record.url?scp=84990055876&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84990055876&partnerID=8YFLogxK

U2 - 10.1016/j.applthermaleng.2016.08.078

DO - 10.1016/j.applthermaleng.2016.08.078

M3 - Article

AN - SCOPUS:84990055876

VL - 109

SP - 272

EP - 282

JO - Applied Thermal Engineering

JF - Applied Thermal Engineering

SN - 1359-4311

ER -