A new approach to performance analysis of ejector refrigeration system using grey system theory

Ejector refrigeration systems have great market potential because they can be driven by low-grade heat and they can utilize working fluid with zero ozone depletion potential. Many researchers have developed a wide range of mathematical models for predicting the performance of ejector refrigeration systems. However, these models are based on complex shock, choking and mixing phenomena happening in the ejector with some assumptions for simplification. Most of these models are time consuming, and also possess limitations in their application. This work proposes a new predication approach using the multivariate grey model combined with grey relational analysis. Results indicate that the proposed combined method provides significantly improvement over the traditional methods in model simplification, time requirement and universal application.