化工学报 ›› 2021, Vol. 72 ›› Issue (5): 2484-2492.DOI: 10.11949/0438-1157.20201405

• 热力学 • 上一篇    下一篇

机载补气增焓制冷系统动态仿真模型

孙浩然1(),吕中原1,吴成云1,胡海涛2   

  1. 1.中国商用飞机有限责任公司上海飞机设计研究院,上海 201210
    2.上海交通大学机械与动力工程学院,上海 200240
  • 收稿日期:2020-10-09 修回日期:2020-12-18 出版日期:2021-05-05 发布日期:2021-05-05
  • 通讯作者: 孙浩然
  • 作者简介:孙浩然(1990—),女,博士,工程师,sunhaoran@comac.cc
  • 基金资助:
    上海市产业转型升级发展专项资金项目(GYQJ-2017-5-09)

Dynamic simulation model of enhanced vapor injection refrigeration system for aircraft

SUN Haoran1(),LYU Zhongyuan1,WU Chengyun1,HU Haitao2   

  1. 1.Shanghai Aircraft Design and Research Institute, Shanghai 201210, China
    2.Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-10-09 Revised:2020-12-18 Online:2021-05-05 Published:2021-05-05
  • Contact: SUN Haoran

摘要:

补气增焓制冷系统具有系统能效比高、运转费用低等优势,被广泛应用于现代飞机的环境控制系统中。为了指导系统的设计与控制,开发了机载补气增焓制冷系统的动态性能仿真模型,并开展了实验验证。通过将补气压缩机工作过程分解,建立了基于物理机理的补气压缩机显式计算模型;通过制冷剂相区划分,建立了蒸发器和冷凝器的移动边界模型;并开发了基于质量引导的系统动态求解算法。实验验证表明,模型能够准确反映系统压力和温度的动态变化趋势;在系统动态响应时间内,模型对于系统压力和温度的时均预测偏差分别为2.55%和-3.29℃。

关键词: 补气增焓, 制冷, 动态仿真, 算法

Abstract:

Enhanced vapor injection refrigeration system has been widely used in the environmental control system of modern aircraft due to the advantages of high system efficiency and low operating cost. For the system designing and controlling, a dynamic simulation model of the enhanced vapor injection refrigeration system for aircraft is developed, and the experimental validation is performed. By abstracting the working principle of the compressor into three independent processes, an explicit calculation model of vapor-injected compressor based on physical theory is established; the dynamic models of the condenser and evaporator are developed based on moving-boundary method; and the solution algorithm of the system model is presented based on mass-guided method. Experimental validation results show that, the proposed model can well predict the dynamic trends of pressure and temperature responses; under the experiment conditions, the time-average deviations of the predicted system pressure and temperatures are 2.55% and -3.29℃, respectively.

Key words: enhanced vapor injection, refrigeration, dynamic simulation, algorithm

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