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
  • [1] Thermal zoning for building HVAC design and energy simulation: A literature review
    Shin, Minjae
    Haberl, Jeff S.
    ENERGY AND BUILDINGS, 2019, 203
  • [2] AUTOMATED TRANSLATION AND THERMAL ZONING OF DIGITAL BUILDING MODELS FOR ENERGY ANALYSIS
    Jones, Nathaniel L.
    McCrone, Colin J.
    Walter, Bruce J.
    Pratt, Kevin B.
    Greenberg, Donald P.
    BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, 2013, : 202 - 209
  • [3] Calibration procedure for energy performance simulation of a commercial building
    Yoon, J
    Lee, EJ
    Claridge, DE
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2003, 125 (03): : 251 - 257
  • [4] An ontology-based framework for automatic building energy modeling with thermal zoning
    Wu, Zhaoji
    Cheng, Jack C. P.
    Wang, Zhe
    Kwok, Helen H. L.
    ENERGY AND BUILDINGS, 2023, 296
  • [5] The Role of Building Thermal Simulation for Energy Efficient Building Design
    Andarini, Rahmi
    CONFERENCE AND EXHIBITION INDONESIA RENEWABLE ENERGY & ENERGY CONSERVATION (INDONESIA EBTKE-CONEX 2013), 2014, 47 : 217 - 226
  • [6] Influence of building thermal envelope modeling parameters on results of building energy simulation
    Muhic, Simon
    Manic, Dimitrije
    Cikic, Ante
    Komatina, Mirko
    JOURNAL OF BUILDING ENGINEERING, 2024, 87
  • [7] A PROCEDURE FOR TESTING THE ABILITY OF WHOLE BUILDING ENERGY SIMULATION PROGRAMS TO THERMALLY MODEL THE BUILDING FABRIC
    JUDKOFF, RD
    NEYMARK, JS
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 1995, 117 (01): : 7 - 15
  • [8] Automating the electromagnetic simulation procedure and its possible "Fatal" consequences
    ElKamchouchi, Hassan
    Abouelseoud, Gehan
    IEEE ANTENNAS AND PROPAGATION MAGAZINE, 2007, 49 (02) : 133 - 142
  • [9] Thermal modelling and simulation of a laboratory building for cooling energy consumption
    Suliman, Fakher Eldin M.
    Elsheikh, Elfatih A.
    JOURNAL OF ENGINEERING RESEARCH, 2021, 9 (4A): : 174 - 190
  • [10] Developing a physical BIM library for building thermal energy simulation
    Kim, Jong Bum
    Jeong, WoonSeong
    Clayton, Mark J.
    Haberl, Jeff S.
    Yan, Wei
    AUTOMATION IN CONSTRUCTION, 2015, 50 : 16 - 28