A procedure for automating thermal zoning for building energy simulation

被引:9
|
作者
Shin, Minjae [1 ]
Haberl, Jeff S. [2 ]
机构
[1] Hanyang Univ, Div Architecture & Architectural Engn, Coll Engn Sci, Ansan 15588, South Korea
[2] Texas A&M Univ, Coll Architecture, Dept Architecture, College Stn, TX 77843 USA
来源
关键词
Building; Thermal zoning; Building energy simulation; Heating/cooling loads; Indoor temperature; HISTORY;
D O I
10.1016/j.jobe.2021.103780
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Although many previous studies have addressed the accuracy of building energy simulations, very few studies of this subject have mentioned the importance of Heating, Ventilation, and Air-Conditioning (HVAC) thermal zoning strategies to sustainable building design. In addition, the building energy standards and guidelines related to building energy simulation recommend that only a core and perimeter thermal zoning strategy be used to reduce the total number of thermal zones in a model. However, although this simplifies modeling, it can lead to too many thermal zones in the building energy model of a multi-story building, or in some cases too few zones, which can impact the model's accuracy. Therefore, the aim of this study is to develop a new thermal zoning process for building energy simulation called the "grid/cluster method." that can be applied automatically to whole-building energy simulations of multi-zone commercial structures. To verify this new thermal zoning method, the indoor temperature profiles of grid units were carefully analyzed in a case study simulation. In this study, three thermal zoning simulation models for a rectangular building were created and applied in heating- and cooling-dominant climates. The results show that for both climate conditions, the new grid/cluster method reduced heating/cooling loads by 11%-27% as compared to the single-zone model. In addition, the results significantly improved the simulated indoor comfort conditions.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Percentage-based thermal zoning approach for enhanced stock-level building energy performance modelling
    Zhou, Jingfeng
    Fennell, Pamela
    Korolija, Ivan
    Ruyssevelt, Paul
    ENERGY AND BUILDINGS, 2025, 329
  • [22] Zoning Survey and Procedure
    Mills, Earl O.
    ANNALS OF THE AMERICAN ACADEMY OF POLITICAL AND SOCIAL SCIENCE, 1931, 155 : 69 - 73
  • [23] Review of methods for climatic zoning for building energy efficiency programs
    Walsh, Angelica
    Costola, Daniel
    Labaki, Lucila Chebel
    BUILDING AND ENVIRONMENT, 2017, 112 : 337 - 350
  • [24] Climatic zoning for the building thermal design in China's rural areas
    Chen, Yao
    Wang, Zhiwei
    Wei, Peng
    BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2021, 42 (05): : 567 - 581
  • [25] Energy analysis for construction of a zero-energy residential building using thermal simulation in Iran
    Amani, Nima
    Reza Soroush, Abdul Amir
    Moghadas Mashhad, Mostafa
    Safarzadeh, Keyvan
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2021, 15 (05) : 895 - 913
  • [26] On the impact of internal gains and comfort band on the effectiveness of building thermal zoning
    Fiorentini, Massimo
    Gomis, Laia Ledo
    Chen, Dong
    Cooper, Paul
    ENERGY AND BUILDINGS, 2020, 225 (225)
  • [27] Thermal comfort in residential buildings: Comfort values and scales for building energy simulation
    Peeters, Leen
    de Dear, Richard
    Hensen, Jan
    D'haeseleer, William
    APPLIED ENERGY, 2009, 86 (05) : 772 - 780
  • [28] Comparison of methodologies for generation of future weather data for building thermal energy simulation
    Bravo Dias, João
    Carrilho da Graça, Guilherme
    Soares, Pedro M.M.
    Energy and Buildings, 2020, 206
  • [29] Comparison of methodologies for generation of future weather data for building thermal energy simulation
    Jo?ao Bravo Dias
    Guilherme Carrilho da Gra?a
    Pedro M.M.Soares
    建筑节能, 2020, 48 (01) : 61 - 61
  • [30] Toward building energy management: Electric analog modeling for thermal behavior simulation
    Hoang-Anh Dang
    Delinchant, Benoit
    Wurtz, Frederic
    2016 IEEE INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY TECHNOLOGIES (ICSET), 2016, : 246 - 250