Study on Residents' Behavior of Using Air Conditioners in Bedrooms in Jiangsu, Zhejiang and Shanghai
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v3i1.672
Abstract
Jiangsu, Zhejiang and Shanghai are characterized with the subtropical monsoon climate, which is sultry in summer and cold in winter. Most residents use air conditioners during summer and winter because of their uncomfortable environment. The bedroom is the venue where people spend the most time. In this paper, by monitoring the environment data in the bedroom, people's behavior of using air conditioners is inferred. Finally, it is found that there are three "intermittent" energy consumption modes for the bedroom air conditioner in this area: "Turn on before going to bed" and "Turn off before going to bed", "Turn off at regular time after going to bed" and "Turn off after getting up in the morning". The simulation result of actual behavioral energy consumption is more energy saving than predicted in the standard specification. The setting temperature of air conditioners is mostly higher than the standard 26°C in summer; mostly higher than 18°C in winter. There is an obvious difference between the resident tolerance temperature and the setting temperature. After the air conditioners is turned off, the indoor environment is still in a state that residents can tolerate for a period of time. Therefore, residents who turn off the air conditioners after getting up in the morning can consider turning off the air conditioners before getting up to further save energy.
Keywords
building energy saving, bedroom, behavior of using air conditioners
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[4] Ministry of Housing and Urban-Rural Development of the People's Republic of China. GB 50096-2011 Code for Residential Design. 2011.
[5] Ministry of Housing and Urban-Rural Development of the People's Republic of China. JGJ 134-2010. Energy Saving Design of Residential Buildings in Hot summer and cold winter area. 2010.
[6] Yan Da, Chen Youming, Pan Yiqun, et al. Research status and development of building energy simulation in China [J]. Building Science, 2018, 34(10):130-138.
[7] Zhou X, Yan D, Feng X, et al. Influence of household air-conditioning use modes on the energy performance of residential district cooling systems[J]. Building Simulation, 2016, 9(4):429-441.
[8] Carlsson-Kanyama A, Engstrom R, Kok R. Indirect and Direct Energy Requirements of City Households in Sweden Modeling[J]. Journal of Industrial Ecology, 2005, 9(1-2):221-235.
[9] Jamasb T, Meier H. Household Energy Expenditure and Income Groups: Evidence from Great Britain[J]. Working Papers, 2010.
[10] Chen J, Wang X, Steemers K. A statistical analysis of a residential energy consumption survey study in Hangzhou, China[J]. Energy & Buildings, 2013, 66:193-202.
[11] Zhou Xiang, Mou Di, Zheng Shun, et al. Simulation of use behavior of air conditionerand energy consumption in summer in Shanghai[J]. Building Technology Development, 2016, (6):4.
[12] Zhao Bingwen, Yang Ting, Qi Lijuan, et al.Measurement of energy consumption of air conditioner and analysis in Hangzhou[J]. Building Energy Efficiency, 2019, 47(7):6.
[13] Du Chenqiu, Yu Wei, Li Baizhan, Ma Yanjiong, Ming Ru, Yao Runming. Evaluation of characteristics of use of air conditioners of residents in Chongqing[J]. Building Science, 2020, 36(10):8.
[14] Ren X, Da Y, Wang C. Air-conditioning Usage Conditional Probability Model for Residential Buildings [J]. Building & Environment, 2014, 81(nov.):172-182.
[15] Jian Yiwen, Liu Jian, LI Qingrui, et al. Experimental study on the relationship between indoor CO2 concentration and human behavior in residential buildings[J]. Journal of HV&AC, 2012, 42(9):114-114.
[16] Raatikainen M, Skn J P, Johansson M, et al. Effects of Weather Conditions and DifferentialAir Pressure on Indoor Air Quality[C]// WASET 2012 DUBAI, UAE. 2012.
[17] Zhou Hao. Research on recognition method of human behavior based on indoor environment monitoring data[D]. Tianjin University, 2016.
[18] Meilin, Zhang Fengli, Gao Qiang.Review of outliers detection technology [J/OL]. Application Research of Computers:1-9[2020-11-11]. https://doi.org/10.19734/j.issn.1001-3695.2019.09.0513.
[19] Raatikainen M, Skn J P, Johansson M, et al. Effects of Weather Conditions and DifferentialAir Pressure on Indoor Air Quality[C]// WASET 2012 DUBAI, UAE. 2012.
[20] Reing E M, Merikle P M.Using direct and indirect measures to study perception without awareness[J]. Perception & Psychophysics, 1988, 44(6):563.
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