摘要
空调房间的温控器通常安装在门口附近墙壁上,其测量值并不能完全代表室内温度,以此值为反馈进行房间温度控制常常无法满足房间控制要求。本文通过在空调房间不同垂直、水平位置布设温度和风速测点,获得的测量值计算其有效吹风温度。采用修正误差学习的加权融合算法得到房间融合有效吹风温度,综合研究融合有效吹风温度控制作用下,送风量对室内有效吹风温度、热舒适性及空调系统能耗的影响。结果表明:设计风量为70%时,室内高度为1. 5 m处测点的有效吹风温度为-1. 7~1. 1℃,空气分布特性指标为100%,此点为最佳传感器安装位置。
The temperature field of indoor space is non-uniform,and the temperature measurements at different locations are usually different. The thermostat is usually installed on the wall near the door in air-conditioned room,and the measured temperature does not always represent the temperature of the working area. Moreover,the requirement in working area cannot be met under the room temperature is controlled with this measured value as feedback. In this paper,the effective draft temperatures of all the measuring points was obtained by setting multiple temperature and wind speed measuring points in the horizontal plane at different vertical heights in the air conditioned room. Then,the weighted fusion algorithm based on modified error learning was used to fuse and analyze the sampled data,and the indoor fusion effective draft temperature was obtained. The influence of the variation in air volume on the indoor effective draft temperature,indoor thermal comfort,and energy consumption of the air-conditioning system under the control of fusion effective draft temperature were studied. The experimental results show that at the height of 1.5 m,the effective draft temperature and air diffusion performance index of the measuring point was-1.7 ℃ to 1.1 ℃ and 100%,respectively,when the design air supply volume was 70%,which could be the optimal sensor installation position.
作者
闫秀英
翟志伟
Yan Xiuying;Zhai Zhiwei(School of Building Services Science and Engineering,Xi′an University of Architecture and Technology,Xi′an,710055,China;School of Information and Control Engineering,Xi′an University of Architecture and Technology,Xi′an,710055,China)
出处
《制冷学报》
CAS
CSCD
北大核心
2019年第3期60-65,91,共7页
Journal of Refrigeration
基金
国家自然科学基金(51508446)资助项目
陕西省重点研发计划项目(2017ZDXM-GY-025)
陕西省科技厅专项科研项目(2017JM6106)资助~~
关键词
变风量空调
有效吹风温度
数据融合
舒适性
variable air volume air conditioning
effective draft temperature
data fusion
comfort