Performance improvement of CO2 two-phase ejector by combining CFD modeling, artificial neural network and genetic algorithm
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Building and Construction
Reference43 articles.
1. Experimental and numerical investigation of the influence of the two-phase ejector geometry on the performance of the R744 heat pump;Banasiak;Int. J. Refrigeration.,2012
2. A CFD-based investigation of the energy performance of two-phase R744 ejectors to recover the expansion work in refrigeration systems: An irreversibility analysis;Banasiak;Int. J. Refrigeration,2014
3. Computational fluid-dynamics modelling of supersonic ejectors: screening of modelling approaches, comprehensive validation and assessment of ejector component efficiencies;Besagni;Appl. Therm. Eng.,2021
4. A new approach for battery thermal management system design based on grey relational analysis and latin hypercube sampling;Bulut;Case Studies Therm. Eng.,2021
5. Carbon dioxide as a natural refrigerant;Cavallini;Int. J. Low-Carbon Technologies,2007
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