Symptoms experienced, environmental factors and energy consumption in office buildings

被引:8
|
作者
Lagoudi, A
Loizidou, M
Santamouris, M
Asimakopoulos, D
机构
[1] University of Athens, Department of Applied Physics, Laboratory of Meteorology, Athens 10680
[2] Natl. Technical University of Athens, Chemical Engineering Department, Zografou Campus, Athens 15780
关键词
occupants' symptoms; human comfort; questionnaires; energy consumption;
D O I
10.1016/S0378-7788(96)00983-8
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A major increase of complaints has been observed by the occupants of buildings, concerning health symptoms and comfort. In this study, the occupants' experience of symptoms as well as the occupants' sensation of the environmental parameters were estimated in six office buildings, where the indoor air quality was investigated. It was found that the percentage of building related symptoms experienced by the occupants of the buildings was high and it was strongly related to human comfort and human sensation concerning the environmental conditions. The human response to the environmental conditions showed that none of the parameters was judged as being unacceptable overall, which indicates that the number of symptoms observed in each building cannot be attributed to one cause but to the contribution of various environmental parameters. Moreover, it was found that the increase of energy consumption was associated with the increase of health symptoms for these buildings.
引用
收藏
页码:237 / 243
页数:7
相关论文
共 50 条
  • [31] A NEW METHOD FOR EVALUATING THE NORMALIZED ENERGY-CONSUMPTION IN OFFICE BUILDINGS
    ZMEUREANU, R
    [J]. ENERGY, 1992, 17 (03) : 235 - 246
  • [32] An artificial intelligence framework for predicting operational energy consumption in office buildings
    Golafshani, Emad
    Chiniforush, Alireza A.
    Zandifaez, Peyman
    Ngo, Tuan
    [J]. ENERGY AND BUILDINGS, 2024, 317
  • [33] Prediction of Energy Consumption in Office Buildings Based on Echo State Network
    Shi, Guang
    Liu, Derong
    Wei, Qinglai
    [J]. PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 895 - 899
  • [34] Energy consumption prediction of office buildings based on echo state networks
    Shi, Guang
    Liu, Derong
    Wei, Qinglai
    [J]. NEUROCOMPUTING, 2016, 216 : 478 - 488
  • [35] Modeling hourly variations in space heating energy consumption for office buildings
    Mutani, Guglielmina
    Martino, Mariapia
    Pastorelli, Michele
    Giaccardi, Flavia
    [J]. 2018 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2018,
  • [36] The Impact of Chiller Plant Retrofit on Energy Consumption for Office Buildings in Singapore
    Eang, Lee Siew
    Deb, Chirag
    Yang, Junjing
    [J]. 2017 ASHRAE ANNUAL CONFERENCE PAPERS, 2017,
  • [37] Research on the Energy Consumption Reference Value of Commercial Office Buildings in Xi'an
    Jia, Yuan
    Yan, Zengfeng
    [J]. SUSTAINABLE CITIES DEVELOPMENT AND ENVIRONMENT, PTS 1-3, 2012, 209-211 : 1871 - 1875
  • [38] Impact of occupants' behaviour on energy consumption and corresponding strategies in office buildings
    Dong, Zhao
    Zhao, Kang
    Hua, Ying
    Xue, Yucong
    Ge, Jian
    [J]. SUSTAINABLE BUILT ENVIRONMENT CONFERENCE 2019 TOKYO (SBE19TOKYO) - BUILT ENVIRONMENT IN AN ERA OF CLIMATE CHANGE: HOW CAN CITIES AND BUILDINGS ADAPT?, 2019, 294
  • [39] Analysis of Energy Consumption in Office Buildings Based on the National Building Energy Database in Korea
    Jo, Haeng Pil
    Kim, Hye Gi
    Kim, Sun Sook
    [J]. 2017 ASHRAE ANNUAL CONFERENCE PAPERS, 2017,
  • [40] Impacts of Building Microenvironment on Energy Consumption in Office Buildings: Empirical Evidence from the Government Office Buildings in Guangdong Province, China
    Li, Zhaoji
    Peng, Shihong
    Cai, Weiguang
    Cao, Shuangping
    Wang, Xia
    Li, Rui
    Ma, Xianrui
    [J]. BUILDINGS, 2023, 13 (02)