北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (11): 2259-2265.doi: 10.13700/j.bh.1001-5965.2017.0059

• 流动特性分析 • 上一篇    下一篇

基于飞机客舱空气品质的桥载空调送风优化

林家泉1, 李弯弯1, 王瑞婷1, 马敏1, 杨建忠2   

  1. 1. 中国民航大学 电子信息与自动化学院, 天津 300300;
    2. 中国民航大学 天津市民用航空器适航与维修重点实验室, 天津 300300
  • 收稿日期:2017-02-13 修回日期:2017-03-06 出版日期:2017-11-20 发布日期:2017-05-10
  • 通讯作者: 林家泉 E-mail:jqlin@cauc.edu.cn
  • 作者简介:林家泉,男,博士,副教授,研究生导师。主要研究方向:飞机客舱能耗预测与控制;李弯弯,女,硕士研究生。主要研究方向:飞机客舱系统建模与仿真。
  • 基金资助:
    国家自然科学基金委员会中国民航局联合基金(U1433107);天津市自然科学基金(13CYBJC42300)

Optimization of air supply for bridge load air conditioning based on aircraft cabin air quality

LIN Jiaquan1, LI Wanwan1, WANG Ruiting1, MA Min1, YANG Jianzhong2   

  1. 1. Institute of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;
    2. Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance, Civil Aviation University of China, Tianjin 300300, China
  • Received:2017-02-13 Revised:2017-03-06 Online:2017-11-20 Published:2017-05-10
  • Supported by:
    Joint Fund of the National Natural Science Foundation of China and the Civil Aviation Administration of China (U1433107); Natural Science Foundation of Tianjin (13CYBJC42300)

摘要: 针对目前桥载空调恒定送风所造成的客舱内舒适性差及节能效果不理想问题,以波音737客舱为研究对象,采用CFD方法建立客舱仿真模型,并通过实验验证了所建立的CFD客舱仿真模型的合理性。在此模型基础上,研究桥载空调不同送风速度对客舱内温度场、风速场及NOx浓度场的影响,并分别拟合出客舱空气分布特性指标(ADPI)、排污效率与桥载空调送风速度的函数关系,再根据ADPI、排污效率构建评价函数,得到桥载空调的优化送风速度,该送风速度能够为桥载空调机组的节能控制提供依据。

关键词: 桥载空调, 热舒适性, 排污效率, 评价函数, 送风优化

Abstract: Aimed at the problem of poor effects of cabin comfort and energy saving caused by constant air supply velocity of bridge air conditioning, in the paper, we built the cabin simulation model adopting the CFD method based on the research object, Boeing 737 passenger cabin. And the validity of the CFD cabin simulation model is verified by experiments. Based on this model, the effects of different air supply velocities on the temperature field, wind velocity field and NOx concentration field in cabin are studied. Then the functional relationship between the air diffusion perfoumance index (ADPI), the drainage efficiency and the bridge load air conditioning air supply velocity is fitted separately. Meanwhile, the optimal air supply velocity of bridge load air conditioning is obtained through the merit function in response to ADPI and drainage efficiency, which could provide the basis for energy-saving control of bridge load air conditioning unit.

Key words: bridge load air conditioning, thermal comfort, drainage efficiency, evaluation function, air supply optimization

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