Artificial neural network model for single-phase real gas ejectors

Author:

Gupta PradeepORCID,Kumar Pramod,Rao Srisha M.V.

Funder

Indian Institute of Science

Department of Science and Technology

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference75 articles.

1. Energy efficiency analysis of steam ejector and electric vacuum pump for a turbine condenser air extraction system based on supervised machine learning modelling;Strušnik;Appl. Energy,2016

2. Ejector refrigeration: a comprehensive review;Besagni;Renew. Sustain. Energy Rev.,2016

3. A. Little, S. Garimella, Ejector refrigeration systems for waste heat recovery applications: effects of condensation on performance, in: Proceedings of the 24th IIR International Congress of Refrigeration: Yokohama, Japan, August 16-22, 2015, 2015.

4. Thermodynamic feasibility of alternative supercritical CO2 Brayton cycles integrated with an ejector;Padilla;Appl. Energy,2016

5. Transcritical CO2 refrigeration cycle with ejector-expansion device;Li;Int. J. Refrig.,2005

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