Model assumptions and their influence on the predicted heating load of an office building

被引:2
|
作者
Kiesel, Kristina [1 ]
Orehounig, Kristina [1 ]
Mandavi, Ardeshir [1 ]
机构
[1] Vienna Univ Technol, Dept Bldg Phys & Bldg Ecol, A-1040 Vienna, Austria
关键词
D O I
10.1002/bapi.201010040
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Using the example of an existing office building, the present paper explores the influence of different simulation input assumptions such as set point temperatures and ventilation behavior on the heating load of a building. Moreover, heating load simulation results with empirically-based input assumptions are compared with simulation that uses standardized input assumptions.
引用
收藏
页码:359 / 364
页数:6
相关论文
共 50 条
  • [31] Effects of analytical modeling assumptions on the predicted stability of a model hingeless rotor
    Sopher, Robert
    Cassarino, Sebastian J.
    Journal of the American Helicopter Society, 1988, 33 (04) : 15 - 27
  • [32] An artificial intelligence (AI)-driven method for forecasting cooling and heating loads in office buildings by integrating building thermal load characteristics
    Zhao, Jing
    Yuan, Xiulian
    Duan, Yaoqi
    Li, Haonan
    Liu, Dehan
    JOURNAL OF BUILDING ENGINEERING, 2023, 79
  • [33] Footbridge Vibrations Predicted by Stochastic Load Model
    Pedersen, Lars
    Frier, Christian
    DYNAMICS OF CIVIL STRUCTURES, VOL 2, 2019, : 51 - 57
  • [34] Simplified dynamic neural network model to predict heating load of a building using Taguchi method
    Sholahudin, S.
    Han, Hwataik
    ENERGY, 2016, 115 : 1672 - 1678
  • [35] Data augmentation strategy for short-term heating load prediction model of residential building
    Lu, Yakai
    Tian, Zhe
    Zhang, Qiang
    Zhou, Ruoyu
    Chu, Chengshan
    ENERGY, 2021, 235
  • [36] Energy and cost savings with continuous low temperature heating versus intermittent heating of an office building with district heating
    Benakopoulos, Theofanis
    Vergo, William
    Tunzi, Michele
    Salenbien, Robbe
    Kolarik, Jakub
    Svendsen, Svend
    ENERGY, 2022, 252
  • [37] Allostatic Load Model Associated with Indoor Environmental Quality and Sick Building Syndrome among Office Workers
    Jung, Chien-Cheng
    Liang, Hsiu-Hao
    Lee, Hui-Ling
    Hsu, Nai-Yun
    Su, Huey-Jen
    PLOS ONE, 2014, 9 (04):
  • [38] Load Transfer in the Building Model
    不详
    BAUINGENIEUR, 2017, 92 : A9 - A9
  • [39] Focus surface water scenarios: Influence of scenario assumptions on predicted peak exposures
    Adrainse, PI
    Horst, TMMS
    Beltman, WHJ
    Van den Berg, F
    PESTICIDE IN AIR, PLANT, SOIL & WATER SYSTEM, 2003, : 487 - 497
  • [40] A Development of Heating and Cooling Load Prediction Equations for Office Buildings in Korea
    Kang, Hae Jin
    Rhee, Eon Ku
    JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2014, 13 (02) : 437 - 443