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Title: Direct analytical modeling for optimal, on-design performance of ejector for simulating heat-driven systems
Authors: Riaz, Fahid 
Yam, Fu Zhi
Qyyum, Muhammad Abdul
Shahzad, Muhammad Wakil
Farooq, Muhammad
Lee, Poh Seng 
Lee, Moonyong
Keywords: CFD
Heat recovery
Low-grade heat
Issue Date: 14-May-2021
Publisher: MDPI AG
Citation: Riaz, Fahid, Yam, Fu Zhi, Qyyum, Muhammad Abdul, Shahzad, Muhammad Wakil, Farooq, Muhammad, Lee, Poh Seng, Lee, Moonyong (2021-05-14). Direct analytical modeling for optimal, on-design performance of ejector for simulating heat-driven systems. Energies 14 (10) : 2819. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: This paper describes an ejector model for the prediction of on-design performance under available conditions. This is a direct method of calculating the optimal ejector performance (entrainment ratio or ER) without the need for iterative methods, which have been conventionally used. The values of three ejector efficiencies used to account for losses in the ejector are calculated by using a systematic approach (by employing CFD analysis) rather than the hit and trial method. Both experimental and analytical data from literature are used to validate the presented analytical model with good agreement for on-design performance. R245fa working fluid has been used for low-grade heat applications, and Engineering Equation Solver (EES) has been employed for simulating the proposed model. The presented model is suitable for integration with any thermal system model and its optimization because of its direct, non-iterative methodology. This model is a non-dimensional model and therefore requires no geometrical dimensions to be able to calculate ejector performance. The model has been validated against various experimental results, and the model is employed to generate the ejector performance curves for R245fa working fluid. In addition, system simulation results of the ejector refrigeration system (ERS) and combined cooling and power (CCP) system have been produced by using the proposed analytical model. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Source Title: Energies
ISSN: 1996-1073
DOI: 10.3390/en14102819
Rights: Attribution 4.0 International
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