基于飞机客舱空气品质的桥载空调送风优化

林家泉; 李弯弯; 王瑞婷; 马敏; 杨建忠

doi:10.13700/j.bh.1001-5965.2017.0059

基于飞机客舱空气品质的桥载空调送风优化

doi: 10.13700/j.bh.1001-5965.2017.0059

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

基金项目:

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

详细信息

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

通讯作者:
林家泉, E-mail:jqlin@cauc.edu.cn

中图分类号: V245.3
计量
- 文章访问数: 587
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- PDF下载量: 478
- 被引次数: 0
出版历程
- 收稿日期: 2017-02-13
- 录用日期: 2017-03-06
- 网络出版日期: 2017-11-20

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

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

Funds:

Joint Fund of the National Natural Science Foundation of China and the Civil Aviation Administration of China U1433107

Natural Science Foundation of Tianjin 13CYBJC42300

More Information

Corresponding author: LIN Jiaquan, E-mail:jqlin@cauc.edu.cn

摘要

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NO_x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。
- 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 NO_x 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.
- bridge load air conditioning /
- thermal comfort /
- drainage efficiency /
- evaluation function /
- air supply optimization

HTML全文

图 1 廊桥和桥载空调系统

Figure 1. Gallery bridge and bridge load air conditioning system

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图 2 波音737客舱实验平台

Figure 2. Boeing 737 cabin experimental platform

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图 3 飞机客舱模型

Figure 3. Aircraft cabin model

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图 4 飞机客舱网格图

Figure 4. Aircraft cabin grid diagram

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图 5 模拟舱内部实验装置

Figure 5. Internal experimental device of simulation cabin

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图 6 不同位置处模拟值与实验值的对比

Figure 6. Comparison of simulated and experimental values at different positions

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图 7 客舱内采样截面

Figure 7. Cabin sampling cross-sections

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图 8 不同送风速度下的温度场

Figure 8. Temperature field at different air supply velocities

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图 9 不同送风速度下的风速场

Figure 9. Wind velocity field at different air supply velocities

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图 10 不同送风速度下的NO_x浓度场

Figure 10. NO_x concentration field at different air supply velocities

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图 11 采样点分布图

Figure 11. Sample point distribution

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图 12 A_ADPI-v非线性逼近结果图

Figure 12. A_ADPI-v non-linear approximation result graph

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图 13 ε-v非线性逼近结果图

Figure 13. ε-v non-linear approximation result graph

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