Parametric analysis and optimization of the supercritical ejector refrigeration cycle with different working fluids using Artificial neural network and particle swarm optimization algorithm
In this paper, parametric analysis and optimization of the transcritical ejector refrigeration cycle using different working fluids have been proposed which can be employed in the parts of solar energy processes. The main advantages of using ejector in the refrigeration cycles, which often use inste...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Persa |
| Publicat: |
Semnan University
2017-09-01
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| Col·lecció: | مجله مدل سازی در مهندسی |
| Matèries: | |
| Accés en línia: | https://modelling.semnan.ac.ir/article_2556_709107f009a2c73b39c81fd0ddf76043.pdf |
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