Optimal control strategy for HVAC system of airport terminal based on optimal schedule time of AHU for pre-cooling

FAN Bo; JIN Xinqiao; DU Zhimin; FANG Xing; ZENG Xiaoqing

doi:10.3969/j.issn.0438-1157.2012.z2.018

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Optimal control strategy for HVAC system of airport terminal based on optimal schedule time of AHU for pre-cooling

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- Optimal control strategy for HVAC system of airport terminal based on optimal schedule time of AHU for pre-cooling
- CIESC Journal Issue S2, Pages: 95-99(2012)
- 作者机构：
  
  上海交通大学机械与动力工程学院,上海,200240
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.z2.018
  CLC： U83
- Online First：28 December 2012，
  
  Published：28 December 2012
- 稿件说明：
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FAN Bo, JIN Xinqiao, DU Zhimin, et al. Optimal control strategy for HVAC system of airport terminal based on optimal schedule time of AHU for pre-cooling[J]. CIESC Journal, 2012, (S2): 95-99.
DOI：

FAN Bo, JIN Xinqiao, DU Zhimin, et al. Optimal control strategy for HVAC system of airport terminal based on optimal schedule time of AHU for pre-cooling[J]. CIESC Journal, 2012, (S2): 95-99. DOI： 10.3969/j.issn.0438-1157.2012.z2.018.

摘要

建立并验证了机场航站楼仿真模型

基于仿真模型提出了一种基于AHU(air handling unit)最佳启动时间预测的优化控制策略。该策略通过BPNN预测模型获得AHU的最佳启动时间

对AHU进行间歇启停控制

仿真结果表明采用此优化控制策略能够在保证空调区域内人员热舒适的基础上

减少空调系统运行的能耗。同时对BPNN预测模型的输入参数进行了敏感度分析

结果显示输入参数室内空气干球温度对于所建BPNN预测模型的预测准确度影响最大。

Abstract

An optimal control strategy for HVAC system of an airport terminal based on the optimal schedule time of AHU for pre-cooling is presented.According to this optimal control strategy

a BPNN model is established to predict the optimal schedule time of AHU for pre-cooling

which is used as references to control AHU operation.Comparing with the original control strategy

this optimal control strategy can maintain indoor thermal comfort and save the power consumption of HVAC system.And the sensitivity analysis of BPNN model shows that the indoor dry-bulb temperature has a great impact on prediction accuracy of this BPNN model.

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