Numerical Modeling of Ejector and Development of Improved Methods for the Design of Ejector-Assisted Refrigeration System

Abstract

An ejector is a simple mechanical device that can be integrated with power generation or the refrigeration cycle to enhance their performance. Owing to the complex flow behavior in the ejector, the performance prediction of the ejector is done by numerical simulations. However, to evaluate the performance of an ejector integrated power cycle or refrigeration cycle, the need for simpler and more reliable thermodynamic models to estimate the performance of the ejector persists. This research, therefore, aims at developing a single mathematical correlation that can predict the ejector performance with reasonable accuracy. The proposed correlation relates the entrainment ratio and the pressure rise across the ejector to the area ratio and the mass flow rate of the primary flow. R141b is selected as the ejector refrigerant, and the results obtained through the proposed correlation are validated through numerical solutions. The comparison between the analytical and numerical with experimental results provided an error of less than 8.4% and 4.29%, respectively.

Publication DOI: https://doi.org/10.3390/en13215835
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Additional Information: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: ejectors,CFD,empirical correlation,refrigeration cycle
Publication ISSN: 1996-1073
Full Text Link:
Related URLs: https://www.mdp ... 1073/13/21/5835 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-11-09
Accepted Date: 2020-11-03
Authors: Muhammad, Hafiz Ali
Abdullah, Hafiz Muhammad
Rehman, Zabdur
Lee, Beomjoon
Baik, Young-Jin
Cho, Jongjae
Imran, Muhammad (ORCID Profile 0000-0002-3057-1301)
Masud, Manzar
Saleem, Mohsin
Butt, Muhammad Shoaib

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