夜间通风降温特性及优化控制方法研究
发布时间：2018-10-22 16:49
【摘要】：研究了建筑夜间通风降温特性及其控制方法.选择长沙地区2种不同功能类型的房间作为研究对象,利用建筑能耗模拟分析软件DeST,分析了通风换气时间、换气次数与排风温度之间的关系,研究了不同类型建筑夜间通风降温规律.结果表明,建筑夜间通风的排风温度随通风时间呈对数变化规律;以通风能效最优为目标时,夜间通风存在换气次数和通风时间最优组合,并得到了这个最优组合的确定方法.利用该方法可以实现以通风能效最高为目标的通风系统运行的最优控制.
[Abstract]:The cooling characteristics and control methods of night ventilation in buildings are studied. Two kinds of rooms of different function types in Changsha area were selected as research objects. The relationship between ventilation time, ventilation times and exhaust air temperature was analyzed by building energy consumption simulation software DeST,. The cooling law of night ventilation for different types of buildings was studied. The results show that the exhaust air temperature of nocturnal ventilation varies logarithmically with ventilation time, and the optimal combination of ventilation times and ventilation time exists in nocturnal ventilation with the aim of optimal ventilation energy efficiency, and the method to determine the optimal combination is obtained. By using this method, the optimal control of ventilation system with maximum ventilation energy efficiency can be realized.
【作者单位】： 湖南大学土木工程学院;
【基金】：国家自然科学基金资助项目(51578221)~~
【分类号】：TU834.3
[Abstract]:The cooling characteristics and control methods of night ventilation in buildings are studied. Two kinds of rooms of different function types in Changsha area were selected as research objects. The relationship between ventilation time, ventilation times and exhaust air temperature was analyzed by building energy consumption simulation software DeST,. The cooling law of night ventilation for different types of buildings was studied. The results show that the exhaust air temperature of nocturnal ventilation varies logarithmically with ventilation time, and the optimal combination of ventilation times and ventilation time exists in nocturnal ventilation with the aim of optimal ventilation energy efficiency, and the method to determine the optimal combination is obtained. By using this method, the optimal control of ventilation system with maximum ventilation energy efficiency can be realized.
【作者单位】： 湖南大学土木工程学院;
【基金】：国家自然科学基金资助项目(51578221)~~
【分类号】：TU834.3
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