Artículo
Superstructure-based optimization of vapor compression-absorption cascade refrigeration systems
Fecha de publicación:
10/04/2020
Editorial:
Molecular Diversity Preservation International
Revista:
Entropy
e-ISSN:
1099-4300
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
A system that combines a vapor compression refrigeration system (VCRS) with a vapor absorption refrigeration system (VARS) merges the advantages of both processes, resulting in a more cost-effective system. In such a cascade system, the electrical power for VCRS and the heat energy for VARS can be significantly reduced, resulting in a coefficient of performance (COP) value higher than the value of each system operating in standalone mode. A previously developed optimization model of a series flow double-effect H2O-LiBr VARS is extended to a superstructure-based optimization model to embed several possible configurations. This model is coupled to an R134a VCRS model. The problem consists in finding the optimal configuration of the cascade system and the sizes and operating conditions of all system components that minimize the total heat transfer area of the system, while satisfying given design specifications (evaporator temperature and refrigeration capacity of −17.0 °C and 50.0 kW, respectively), and using steam at 130 °C, by applying mathematical programming methods. The obtained configuration is different from those reported for combinations of double-effect H2O-LiBr VAR and VCR systems. The obtained optimal configuration is compared to the available data. The obtained total heat transfer area is around 7.3% smaller than that of the reference case.
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Articulos(INGAR)
Articulos de INST.DE DESARROLLO Y DISEÑO (I)
Articulos de INST.DE DESARROLLO Y DISEÑO (I)
Citación
Mussati, Sergio Fabian; Morosuk, Tatiana; Mussati, Miguel Ceferino; Superstructure-based optimization of vapor compression-absorption cascade refrigeration systems; Molecular Diversity Preservation International; Entropy; 22; 4; 10-4-2020; 1-21
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