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

被引:106
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
收藏
页数:14
相关论文
共 151 条
  • [1] A review of intervention studies aimed at household energy conservation
    Abrahamse, W
    Steg, L
    Vlek, C
    Rothengatter, T
    [J]. 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
    Aelenei, Daniel
    Lopes, Rui Amaral
    Aelenei, Laura
    Goncalves, Helder
    [J]. 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
    Aerts, D.
    Minnen, J.
    Glorieux, I.
    Wouters, I.
    Descamps, F.
    [J]. BUILDING AND ENVIRONMENT, 2014, 75 : 67 - 78
  • [4] Agarwal Y., 2010, SenSys: Embedded Network Sensor Systems, DOI [DOI 10.1145/1878431.1878433, 10.1145/1878431.1878433]
  • [5] Real-time activity recognition for energy efficiency in buildings
    Ahmadi-Karvigh, Simin
    Ghahramani, Ali
    Becerik-Gerber, Burcin
    Soibelman, Lucio
    [J]. 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
    Ahn, Jonghoon
    Cho, Soolyeon
    [J]. APPLIED ENERGY, 2017, 204 : 117 - 130
  • [7] European Union's renewable energy sources and energy efficiency policy review: The Spanish perspective
    Alegria Mancisidor, Itziar Martinez de
    de Basurto Uraga, Pablo Diaz
    de Alegria Mancisidor, Inigo Martinez
    de Arbulo Lopez, Patxi Ruiz
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (01) : 100 - 114
  • [8] A review of data-driven building energy consumption prediction studies
    Amasyali, Kadir
    El-Gohary, Nora M.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 : 1192 - 1205
  • [9] Energy saving estimation for plug and lighting load using occupancy analysis
    Anand, Prashant
    Cheong, David
    Sekhar, Chandra
    Santamouris, Mattheos
    Kondepudi, Sekhar
    [J]. 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
    Anda, Martin
    Temmen, Justin
    [J]. RENEWABLE ENERGY, 2014, 67 : 119 - 127