随着地铁系统规模和能耗的不断增加,地铁车站通风空调系统节能逐渐成为研究热点。本文采用基于回归、筛选和方差的三种方法对地铁车站通风空调系统能耗的影响因素进行了敏感性分析。对比发现,三种方法识别出的重要性排序前25%的参数相同但排序有差异,其中方差和筛选方法排序较一致,回归方法差异较大；回归方法的计算效率最高,方差和筛选方法计算时长分别为前者25倍和3倍；综合考虑参数排序结果和计算效率,基于筛选的方法在该模型上的适用性较好。进而以长江流域的地下二层典型岛式地铁车站为例,分析了重要参数在其可能的变化范围内改变对通风空调系统能耗的影响。结果显示,室外空气参数对能耗的影响程度高达84%；机械新风量、出入口渗风量和屏蔽门渗风量对能耗的影响分别为43%、29%和12%；设备能效对能耗的影响程度达39%；站内及隧道空气参数对能耗的影响分别为37%和33%。本文研究结果指出了节能设计和运营需要关注的重要参数,为车站低能耗运营管理提供了指导。

With the continuous expansion of subway scale and energy consumption, energy-saving of ventilation and air-conditioning (VAC) systems in subway stations has gradually become a research focus. In this paper, influential parameters of the VAC energy model in subway stations are identified and ranked, using three commonly-used sensitivity analysis methods (regression-based, screening-based and variance-based). Results show that the top 25% ranked parameters identified by the three methods are the same, but the orders are different. Among the three sensitivity analysis methods, the rankings of variance- and screening-based method are basically the same, whereas the ranking of regression-based method is quite different from the previous two. Besides, the regression method is the most efficiency one in consideration of the computational cost, the calculation time of variance- and screening-based method are 25 times and 3 times, respectively. By comparison, it can be concluded that the screening-based method performs best in consideration of the parameter ranking and computational cost. Furthermore, the quantitative influence of the above-mentioned important parameters on the energy consumed by VAC system in a typical island subway station were studied. Results show that the impact of outdoor air parameters on is as high as 84%; the effects of mechanical fresh air volume, air infiltration volume through the entrances and air infiltration volume through the platform screen doors are 43%, 29% and 12%, respectively; the impact of equipment efficiency reaches 39% and is non-linear; the influence of the air parameters inside the station and the tunnel are 37% and 33%, respectively. The outcome of this research points out important variables that need to be paid attention to in the energy conservation design and operation of subway stations, providing guidance for energy-saving operation and management of stations.

U231.1

“十三五”国家重点研发计划课题：公共交通枢纽建筑节能关键技术与示范项目(2018YFC0705006)