高铁站房热负荷特性研究及影响因素分析
Heating load characteristics and influencing factors of high-speed railway station buildings
摘要:
以西安地区典型铁路站房为研究对象,通过开展现场热环境实测,提取其负荷特征与运行参数。采用DeST软件构建了负荷动态计算模型,设计了冬季热负荷正交试验,定量分析了新风量指标、室内设计温度、渗透风量、最多聚集人数等关键影响因素的显著性水平。从高大空间温度分层效应、渗透风节能潜力及建筑蓄热特性3个维度,深入探究了特大型高铁站房的冬季热负荷特性。结果表明:当候车大厅采用地板辐射供暖时,人员活动区域呈现出明显的温度梯度分布;渗透风量、室内设计温度及新风量指标对特大型高铁站房冬季热负荷的影响最为显著;考虑温度分层效应后,全年累计热负荷指标相较于未考虑温度分层提升了8.4%;将渗透风量作为部分新风量,以满足部分室内新风需求,可使全年累计热负荷指标降低约17.4%;采用提前预热运行策略可显著改善候车大厅室内热环境,使站房峰值热负荷降低7.1%。
Abstract:
Taking a typical railway station building in Xi’an as the research object, its load characteristics and operating parameters are extracted through on-site thermal environment measurement. A dynamic load calculation model is constructed using the DeST software, an orthogonal experiment of winter heating load is designed, and the significance levels of key influencing factors such as outdoor air volume indicators, indoor design temperature, infiltration air volume, and maximum number of people gathered are quantitatively analysed. The winter heating load characteristics of super-large high-speed railway station buildings are deeply explored from three dimensions: temperature stratification effect in large spaces, energy-saving potential of infiltration air, and building heat storage characteristics. The results show that when the floor radiant heating is adopted in the waiting hall, an obvious temperature gradient distribution appears in the personnel activity area. The infiltration air volume, indoor design temperature and outdoor air volume indicator have the most significant impact on the winter heating load of the super-large high-speed railway station building. When the temperature stratification effect is taken into account, the annual cumulative heating load indicator increases by 8.4% compared with that without considering the temperature stratification. Taking the infiltration air volume as part of the outdoor air volume to meet some indoor outdoor air demand can reduce the annual cumulative heating load indicator by about 17.4%. Adopting a preheating operation strategy can significantly improve the indoor thermal environment of the waiting hall, and reduce the peak heating load of the station building by 7.1%.
Keywords:high-speed railway station building; heating load characteristic; influencing factor; orthogonal experiment; energy-saving potential; infiltration air; temperature stratification; building heat storage


