中国各气候区屏蔽门地铁站 通风空调能耗指标

通过对地铁站的实际调研和参考相关设计标准，建立中国各城市地铁站的通风空调合理能耗指标，包括约束值和引导值，分别对应及格线和优秀线。首先，对车站的客流量、列车运行时刻、站内控制温度等信息进行广泛调研，分析确定研究案例的参数取值，进而采用地铁站通风空调能耗原理模型，对43座城市、36种服务规模、2种合理运行管理水平下共计3 096个案例进行大规模计算。模拟结果显示，各城市地铁站通风空调年能耗的约束值在17.6万～85.9万kW·h/(年·站)之间，引导值在17.5万～52.9万kW·h/(年·站)之间。其次，采用线性回归分析通风空调系统合理能耗与气候条件的关系，发现合理能耗指标与当地年平均湿球温度的拟合效果最好，约束值和引导值的拟合R2分别为0.951和0.949。最后，对每个城市地铁站通风空调的合理能耗与客流量、发车对数和隧道长度进行多元线性回归分析，从而给出每个城市的拟合系数表，可为车站运维和管理人员评估地铁站通风空调用能水平提供便捷、有效的工具。

Energy Use Index of Ventilation and Air-conditioning System for Subway Stations in Various Climate Regions in China

In this study, the constraint value (CV) and leading value (LV) for the ventilation and air-conditioning (VAC) energy consumption of subway stations with a platform screen door (PSD) system in various cities in China were investigated. First, extensive investigations were conducted on the number of passengers, train departure density, station temperature, device efficiency, and other information to determine the values of the input parameters for the studied cases. Then, the VAC energy consumption was simulated for a total of 3096 cases (for 43 cities under 36 types of service conditions and two kinds of operation management levels). The simulation results show that the CV and LV of the annual VAC energy consumption are 0.176-0.859 million kWh and 0.175-0.529 million kWh, respectively. Second, linear regression analysis was used to investigate the relationship between the CV and LV of annual VAC energy consumption and local climatic conditions. The R2 values of the VAC energy consumption and annual average wet-bulb temperature were 0.951 and 0.949 for CV and LV, respectively. Finally, for each city, multiple linear regression analysis was carried out on the CV and LV of the VAC energy consumption and the three service condition parameters, that is, the number of passengers, train departure density, and tunnel length. Based on this, fitting coefficients were proposed for each city, providing a convenient and effective tool for operators and managers to evaluate the VAC energy consumption at subway stations.