基于DeST的夏热冬冷地区大型铁路客站遮阳参数设计优化

Optimization of Passive Shading Design for Large Railroad Stations in Hot-summer and Cold-winter Regions based on DeST

针对现有研究较多从站房整体的角度去研究能耗,较少对于被动式遮阳相关参数及其影响因素做出模拟研究和讨论的现状,文章选取大型铁路客站侧窗窗墙比、遮阳系数、站房挑檐、天窗面积比对室内能耗为变量,采用DeST对不同的变量进行模拟计算,计算和分析结果表明,天窗面积比与负荷能耗及照明能耗相关性最高,遮阳系数及侧窗面积比影响次之,站房挑檐影响最小。通过对变量给定参考范围,对既有铁路客站进行改造以达到节能目的。

In view of the fact that existing studies have studied the energy consumption from the perspective of the station building as a whole,there are few simulations and discussions on the parameters related to passive sun shading and their influencing factors.The results of calculation and analysis show that the skylight area ratio has the highest correlation with the load energy consumption and lighting energy consumption,the sun shading coefficient and the side window area ratio have the second highest influence,and the eaves of the station house have the lowest influence.By giving a reference range for the variables,the existing railroad passenger stations are modified to achieve energy saving.