出版方 : Elsevier Ltd, Langford Lane, Kidlington, Oxford, OX5 1GB, United Kingdom
作 者: ;
机构地区: 上海交通大学
出 处: 《实用热力工程》
摘 要: 因为他们能被低档热驾驶,他们能与零个臭氧弄空潜力利用工作液体,驱逐者制冷系统有大市场潜力。许多研究人员为预言驱逐者制冷系统的表演开发了大量数学模型。然而,这些模型基于复杂吃惊,窒息、混合的现象为简化与一些假设发生在驱逐者。大多数这些模型是耗时的,并且也在他们的应用程序拥有限制。这个工作建议一条新断言途径用多,变量灰色模型与灰关系分析结合了。结果显示建议联合方法显著地在模型简化,时间要求和通用申请在传统的方法上提供改进。 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. © 2008 Elsevier Ltd. All rights reserved.
分 类 号: [TK1]