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主办单位:重庆大学
主  编:刘汉龙
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国际标准刊号:ISSN 2096-6717
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大数据监测平台下的长江流域典型城市房间空调器温度设置分析
刘猛1, 晏璐1, 李金波2,3, 徐振坤2,4, 杜顺开2
1.重庆大学 土木工程学院, 重庆 400044;2.广东美的制冷设备有限公司, 广东 佛山 528311;3.西安交通大学 能源与动力工程学院, 西安 710049;4.武汉大学 动力与机械学院, 武汉 430072
摘要:
房间空调器是中国长江流域地区改善室内热环境的重要措施,然而,在以往的房间空调器的行为研究中,只能通过现场实测、问卷调查等方式获取其使用行为,由于数据获取方式本身所存在的局限性,无法对空调的使用行为进行可靠且深入的挖掘,尤其是对于空调的设置温度。为了研究长江流域地区房间空调器的设置温度行为,包括设置温度的分布、设置温度调节习惯、设置温度与一天中不同时间段的关系、设置温度与室外温度的关系,依托于大数据平台下的房间空调器监测数据,针对长江流域地区的3个典型城市(重庆、武汉、上海)的房间空调器的设置温度习惯,对重庆地区575台房间空调器、武汉地区430台房间空调器、上海地区540台空调器的夏季上万次运行数据、冬季上千次运行数据进行了基本的统计与相关分析,结果表明:空调器的设置温度及其调节习惯在不同城市之间存在一定差异性,夏季用户在一次空调使用过程中存在对较低设置温度(低于26℃)的短时需求情景,同时,设置温度与1 d中的不同时刻以及室外温度也有明显关联。
关键词:  长江流域  空调器  大数据  设置温度  室内热环境
DOI:10.11835/j.issn.2096-6717.2019.107
分类号:TU831
基金项目:科技部国家重点研发计划(2018YFD1100704);重庆市研究生科研创新项目(CYS18027)
Analysis of temperature setting habits of room air conditioners in the typical cities in Yangtze River Basin under the big data monitoring platform
Liu Meng1, Yan Lu1, Li Jinbo2,3, Xu Zhenkun2,4, Du Shunka2
1.School of Civil Environmental Engineering, Chongqing University, Chongqing 400044, P. R. China;2.Guangdong Midea Air-Conditioning Equipment Co., Ltd, Foshan 528311, Guangdong, P. R. China;3.School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China;4.School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Abstract:
Room air conditioner (RAC) is the important facilitly to improve the indoor thermal environment in the Yangtze River Basin in China. However, the current study couldn't get an in-depth stady of the set temperature behavior of the RAC due to the limitation of the data acquisition method. In order to get the set temperature behavior of the RAC in the Yangtze River Basin, the distribution of the set temperature, the adjustment behavior of the set temperature, the relationship between the set temperature and the time of a day and the relationship between the set temperature and outdoor air temperature were statistically analyzed based on the big monitoring data platform. After the data processing, tens of thousands of times of RAC running data in summer and in winter from a total of 575 room air conditioners in Chongqing, a total of 430 room air conditioners in Wuhan, a total of 540 room air conditioners in Shanghai was obtained, which was aimed at three typical cities in the Yangtze River Basin. The results show that there are some differences between the set temperature behavior and its adjustment behavior in three typical cities. Besides, the short time requirement of the lower set temperature (below 26℃) exists in once running period in summer and the set temperature is also related with the time of a day and the outdoor air temperature.
Key words:  Yangtze River Basin  air conditioner  big data  set temperature  indoor thermal environment
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