The impacts of occupant behavior on building energy consumption: A review

被引:132
作者
Chen, Shuo [1 ]
Zhang, Guomin [1 ]
Xia, Xiaobo [2 ]
Chen, Yixing [3 ]
Setunge, Sujeeva [1 ]
Shi, Long [1 ]
机构
[1] RMIT Univ, Sch Engn, Civil & Infrastruct Engn, Melbourne 3004, Australia
[2] Anhui Antai Technol Co Ltd, Hefei 230088, Anhui, Peoples R China
[3] Hunan Univ, Coll Civil Engn, Changsha 410081, Peoples R China
关键词
Building energy consumption; Occupant behavior; Occupancy; Interactions; Behavioral efficiency; DOMESTIC HOT-WATER; WINDOW-OPENING BEHAVIOR; THERMAL COMFORT; OFFICE BUILDINGS; SOLAR CHIMNEY; STATISTICAL-ANALYSIS; PERFORMANCE; SIMULATION; EFFICIENCY; MANAGEMENT;
D O I
10.1016/j.seta.2021.101212
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Three main categories of occupant behaviors were summarized for building through this literature review, including the occupancy, interactions and behavioral efficiency. The results of the review confirmed that the actual occupancy and the interactions with buildings are the key influencing factors determining the energy building consumption. Behavioral efficiency has been identified as an efficient and economical method compared with retrofitting technologies. But, categorizing and quantifying the behavioral inputs as well as the validations are needed to be improved in the future. Window opening behavior has been seldom taken into account when calculates the energy impact because window opening behavior is rare in most of the centrally air-conditioned buildings. Also, the energy impacts of genders are not as much as engineering significance in energy consumption, but they are important for understanding the variation of the personal and other environmental control. The results are important to identify the key factors and address the determining considerations from those factors, in order to avoid unnecessary and redundant data collection. That is also significant to the energy simulation and the development of software packages in future work.
引用
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页数:14
相关论文
共 151 条
[1]   A review of intervention studies aimed at household energy conservation [J].
Abrahamse, W ;
Steg, L ;
Vlek, C ;
Rothengatter, T .
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 2005, 25 (03) :273-291
[2]   Investigating the potential for energy flexibility in an office building with a vertical BIPV and a PV roof system [J].
Aelenei, Daniel ;
Lopes, Rui Amaral ;
Aelenei, Laura ;
Goncalves, Helder .
RENEWABLE ENERGY, 2019, 137 :189-197
[3]   A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison [J].
Aerts, D. ;
Minnen, J. ;
Glorieux, I. ;
Wouters, I. ;
Descamps, F. .
BUILDING AND ENVIRONMENT, 2014, 75 :67-78
[4]  
Agarwal Y., 2010, P 2 ACM WORKSH EMB S, P1, DOI [DOI 10.1145/1878431.1878433, 10.1145/1878431.1878433]
[5]   Real-time activity recognition for energy efficiency in buildings [J].
Ahmadi-Karvigh, Simin ;
Ghahramani, Ali ;
Becerik-Gerber, Burcin ;
Soibelman, Lucio .
APPLIED ENERGY, 2018, 211 :146-160
[6]   Anti-logic or common sense that can hinder machine's energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environments [J].
Ahn, Jonghoon ;
Cho, Soolyeon .
APPLIED ENERGY, 2017, 204 :117-130
[7]   European Union's renewable energy sources and energy efficiency policy review: The Spanish perspective [J].
Alegria Mancisidor, Itziar Martinez de ;
de Basurto Uraga, Pablo Diaz ;
de Alegria Mancisidor, Inigo Martinez ;
de Arbulo Lopez, Patxi Ruiz .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (01) :100-114
[8]   A review of data-driven building energy consumption prediction studies [J].
Amasyali, Kadir ;
El-Gohary, Nora M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 :1192-1205
[9]   Energy saving estimation for plug and lighting load using occupancy analysis [J].
Anand, Prashant ;
Cheong, David ;
Sekhar, Chandra ;
Santamouris, Mattheos ;
Kondepudi, Sekhar .
RENEWABLE ENERGY, 2019, 143 :1143-1161
[10]   Smart metering for residential energy efficiency: The use of community based social marketing for behavioural change and smart grid introduction [J].
Anda, Martin ;
Temmen, Justin .
RENEWABLE ENERGY, 2014, 67 :119-127