一种气流分布量化描述方法

A Quantitative Description Method for Airflow Distribution

在空调系统设计与建筑节能的设计过程中,气流分布形态是至关重要的。它不仅影响着人体热舒适,更体现出能量利用的合理性。然而空气分布末端形式及送风过程中的空气特性却较少得到关注,造成能源浪费与人员舒适度的不满足。准确描述不同送回风形式下的气流分布,对于设计过程中送风末端的选择与评价,对于建筑节能大背景下人员舒适度的提升是非常必要的。办公室作为现代人群主要的室内环境,其环境质量的优劣不仅关系到工作效率,也影响着人们的健康。以某200m^2的开敞办公空间为研究对象,通过Dymola平台分别进行冬、夏季风机盘管的建模,以其结果作为CFD模拟的温度边界条件,将二者进行耦合。对得到的若干房间内测点的温度变化图像采用PSO算法进行识别,并对识别出的传递函数参数进行了一系列分析,并提出一种对气流分布的量化描述方法。

Airflow distribution pattern is critical in the design of air-conditioning systems and building energy efficiency.However,the end form of the air distribution and the air characteristics during the air supply process are less noticed,resulting in energy waste and unsatisfactory of comfort.Describing the airflow distribution accurately under different air pattern is necessary for the selection of air supply form during the design process.As the main indoor environment of the modern crowd,the quality of the environment is not only related to work efficiency,but also affects people’s health.In this paper,an open office space with an area of 200 m^2 is taken as the object.Firstly,the modeling of the winter and summer fan coil is carried out using the Dymola platform.Secondly,the result is used as the temperature boundary condition of CFD simulation.The temperature change images of the measured points were identified by PSO algorithm.Based on the statistical analysis,a quantitative description method for airflow distribution is proposed.