A thermal simulation method based on the thermal resistance/ inertia coupling

被引:1
|
作者
El Khattabi, El Mehdi [1 ,2 ]
Zouini, Mohammed [2 ,3 ,4 ]
Mohammed, Ouazzani Jamil [2 ]
机构
[1] Univ Moulay Ismail Meknes, Ecole Normale Super, Dept Sci, Meknes, Morocco
[2] Private Univ Fez UPF, Syst & Sustainable Environm Lab, Fes, Morocco
[3] Sidi Mohamed Ben Abdellah Univ ENS, Lab Comp Sci & Interdisciplinary Phys, Fes, Morocco
[4] SOLAR UT, Fes, Morocco
关键词
Thermal performance; Dynamic state; Thermal diagnosis method; Thermal inertia; ENERGY-CONSUMPTION; PERFORMANCE; DESIGN; EFFICIENCY; CLIMATE; LOAD;
D O I
10.1016/j.tsep.2023.101835
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper concerns a thermal diagnosis method for buildings in a dynamic state that is capable of predicting energy behavior in summer and winter by implementing a calculation tool based on the representation of building components through a resistance/thermal inertia couple. The internal temperature has been identified only by the coefficients that couple weather conditions, building envelope properties, and internal generation, making the thermal analysis of the building simple and efficient. This helps decision-makers, designers, and non -energy professionals create energy balances by respecting all physical phenomena, such as thermal inertia, orientation, and changing weather conditions, without having to calculate the heat flow in steady-state (with the U value), which does not take into consideration the term of storage or calculate with other programs that require time, know-how, and training in physics.To demonstrate the effect of thermal inertia on the internal temperature, the results were tested and compared to the steady-state (as adopted by the Moroccan thermal regulation RTCM 2012). The results showed a deviation of about 7 degrees C at the peak of the temperature distribution, which will influence the thermal design of the building in terms of air renewal, glazing, and building orientation.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Thermal coupling in hybrid fire simulation
    Faghihi, F.
    Knobloch, M.
    ADVANCES IN ENGINEERING MATERIALS, STRUCTURES AND SYSTEMS: INNOVATIONS, MECHANICS AND APPLICATIONS, 2019, : 1897 - 1902
  • [22] DOWNSCALING OF AIR HUMIDITY BASED ON THERMAL INERTIA
    Rong, Yuan
    Su, Hongbo
    Zhang, Renhua
    Yang, Yongmin
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 6979 - 6982
  • [24] Numerical simulation of thermal discharge based on FVM method
    Yu Yunli
    Wang Deguan
    Wang Zhigang
    Lai Xijun
    Journal of Ocean University of China, 2006, 5 (1) : 7 - 11
  • [25] Simulation of thermal convection based on preconditioning method and BCM
    Dept. of Computer and Mathematical Sciences, Tohoku University, 6-6-01 Aramaki Aza Aoba, Aoba-ku, Sendai-shi, Miyagi, 980-8579, Japan
    Nihon Kikai Gakkai Ronbunshu, B, 788 (745-752):
  • [26] Effect of Elastoplastic Thermal Softening on Electrical Contact Resistance Based on the Dual-Iterative Coupling Method
    He, Wenxin
    Feng, Yu
    Wu, Shaolei
    Wang, Wei
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2023, 30 (01) : 11 - 19
  • [27] Multiscale coupling simulation method for thermal protection material ablation based on thermochemical interfacial reactive model
    Ye Z.
    Zhao J.
    Li Z.
    Sun X.
    Wen D.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2023, 44
  • [28] MEASUREMENT OF THERMAL INERTIA BY THE REFLECTIVE-CAVITY METHOD
    CIELO, P
    DALLAIRE, S
    LAMONDE, G
    JOHAR, S
    CANADIAN JOURNAL OF PHYSICS, 1986, 64 (09) : 1217 - 1220
  • [29] Numerical simulation of aircraft thermal anti-icing system based on a tight-coupling method
    Bu, Xueqin
    Lin, Guiping
    Shen, Xiaobin
    Hu, Zhongliang
    Wen, Dongsheng
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2020, 148
  • [30] Multiscale simulation of thermal contact resistance based on the Gaussian surfaces
    Cui, Teng-Fei
    Li, Qiang
    Xuan, Yi-Min
    Zhang, Ping
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2014, 35 (12): : 2466 - 2470