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基于航班信息确定旅客数模型联动空调节能技术研究

Energy-saving Technology for Air Conditioning Based onPassengers Model Determined by Flight Information
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摘要 针对机场航站楼内空调系统能耗高且节能潜力巨大的特点,提出一种基于航班信息动态预测分时段分区旅客数,进而联动优化空调节能控制的新方法。新方法研究重点在于航站楼空调调控分区的划分、航班信息有效数据的提取、分时段分区旅客数模型的构建、节能档位控制的实现策略与步骤。结合华南地区某支线机场航站楼冷源及空调末端控制的实际测试数据进行模拟分析,结果表明,在保障旅客舒适度的基础上,通过分区旅客数精准调控空调系统运行模式,实现了能耗较大幅度的降低,节能成效显著,为航站楼空调节能技术提供了新的思路,为同类型其他机场提供了参考。 Addressing the issue of high energy consumption and significant energy-saving potential of air conditioning system in airport terminals,this paper proposes a novel method that uses flight information to dynamically predict the number of passengers in different zones at different times,which optimizes the energy-saving control of the air conditioning system.The research focuses on the delineation of air conditioning control zones within terminal buildings,the extraction of effective flight information data,the construction of passenger number model in different zones at different times,and the implementation strategy and steps of energy-saving control levels.Integrating the actual test data of cold source and air conditioning terminal control of a regional airport in South China,the results demonstrate that,while ensuring the comfort of passengers,the operation mode of the air conditioning system is precisely controlled through zonal passenger numbers,the energy consumption is significantly reduced and the energy saving effect is remarkable.This provides a new idea for air conditioning energy-saving technology of the terminal and a reference for other similar airports.
作者 赵骥 崔明丽 李兵 钟世权 许杰 刘文 ZHAO Ji;CUI Mingli;LI Bing;ZHONG Shiquan;XU Jie;LIU Wen(Guangdong Architectural Design and Research Institute Group Co.,Ltd.,Guangzhou 510010,China;Nanjing NARI-relays Electric Co.,Ltd.,Nanjing 211102,China)
出处 《建筑节能(中英文)》 CAS 2024年第9期79-84,共6页 Building Energy Efficiency
关键词 空调节能控制 能源 航班信息 旅客数模型 运行优化 existing building energy-saving reconstruction plateau region air conditioning energy-saving control energy flight information passengers model operation optimization
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