基于逐时客流量的地铁站空调系统动态负荷研究  

Study on Dynamic Load of Air-conditioning Systems in Subway Stations Based on Hour-by-hour Passenger Flow

作　　者：宋美艳 王亮[1] 朱沁萱 SONG Meiyan;WANG Liang;ZHU Qinxuan(School of Civil Engineering and Architecture,Southwest University of Science and Technology,Mianyang 621010,Sichuan,China;Chengdu Metro Operation Co.Ltd.,Chengdu 610058,Sichuan,China)

机构地区：[1]西南科技大学土木工程与建筑学院,四川绵阳621010 [2]成都地铁运营有限公司,成都610058

出　　处：《西南科技大学学报》2022年第2期58-63,共6页Journal of Southwest University of Science and Technology

摘　　要：为探究逐时客流量波动引起的地铁站空调系统负荷动态变化规律,选取地铁站公共区空调系统作为研究对象,构建出优化的逐时客流量GM(1,1)预测模型,并预测得出未来短期逐时客流量数据,在此基础上计算各分项负荷。人员负荷和新风负荷随逐时客流量的变化波动较大,属于动态负荷,汇总各分项负荷得出空调系统动态负荷变化规律:与定工况运行负荷相比,工作日一天负荷减少1469.77 kW,周末一天负荷减少608.58 kW。根据逐时客流量引起的动态负荷变化及时调节空调系统的送风参数,对地铁车站节能优化具有经济价值和参考意义。In order to investigate the dynamic variation law of air-conditioning system load in subway stations caused by the fluctuation of hour-by-hour passenger flow,the air-conditioning system in the public area of a subway station was selected as the research object.An optimized GM(1,1)prediction model of hour-by-hour passenger flow was constructed,and the future short-term hour-by-hour passenger flow data were predicted.On this basis,the sub-loads were calculated.And the personnel load and the fresh air load fluctuated greatly with the hour-by-hour passenger flow and belonged to dynamic loads.The dynamic load variation law of air-conditioning system was obtained by aggregating these sub-loads.Compared with the constant operating load,the daily load was reduced by 1469.77 kW on weekdays and 608.58 kW at weekends.Thus,timely adjustment of the air supply parameters of the air-conditioning system according to the dynamic load variations caused by hour-by-hour passenger flow has economic value and reference significance for the energy-saving optimization in subway stations.

关 键 词：GM(1 1)模型 逐时客流量 动态负荷计算 地铁站空调系统 节能优化 

分 类 号：U231[交通运输工程—道路与铁道工程]