Indoor cooling/heating load analysis based on coupled simulation of convection, radiation and HVAC control

被引:30
|
作者
Kim, T [1 ]
Kato, S [1 ]
Murakami, S [1 ]
机构
[1] Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 153, Japan
关键词
cooling load; CFD; HVAC control; coupled simulation;
D O I
10.1016/S0360-1323(01)00016-6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A computational fluid dynamics (CFD) simulation for analyzing indoor cooling/heating load is presented in this study. It is coupled with a radiative heat transfer simulation and heating, ventilating, and air-conditioning (HVAC) controlling system in a room. This new method feeds back the outputs of the HVAC system control to the input boundary conditions of the CFD, and this method includes a human model to evaluate the thermal environment. It would be used to analyze the heating/cooling loads of different HVAC systems under the condition of the same human thermal sensation (e.g. PMV, operative temperature, etc.) even though the temperature and air-velocity distribution in the room are different from each other. To examine the performance of the new method, a cooling load and a thermal environment within a semi-enclosed space, which opens into an atrium space, is analyzed under the steady-state conditions during the summer season. This method is able to analyze the indoor cooling load with changes of target thermal environments of a room and/or changing clothing conditions of occupants considering the temperature and air-velocity distribution in the room. In this paper, two types of HVAC system are compared; i.e. radiation-panel system and all-air cooling system. The radiation-panel cooling system is found to be more energy efficient for cooling the semi-enclosed space. Changes of the level of thermal environment reduce cooling load effectively in case of the all-air cooling system while the radiation-panel system does not reduce cooling load even though the targeted thermal condition is relaxed. Energy saving effect is expected by easing the clothing conditions of occupants. In this study, the reducing effect of cooling load is quantitatively evaluated with clothing conditions also. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:901 / 908
页数:8
相关论文
共 50 条
  • [31] Economic Analysis of Combined Cooling, heating and power system coupled with heat pump based on EnergyPLAN
    Gao, Kai
    Zhao, Long
    Wang, Cong
    Qiu, Peng
    Meng, Naduo
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 7268 - 7272
  • [32] Turbulent natural convection coupled with thermal radiation in large vertical channels with asymmetric heating
    Cheng, X
    Muller, U
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1998, 41 (12) : 1681 - 1692
  • [33] Surface cooling based on the thermomagnetic convection: Numerical simulation and experiment
    Zablotsky, D.
    Mezulis, A.
    Blums, E.
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2009, 52 (23-24) : 5302 - 5308
  • [34] Research paper Integrated control strategy of district heating system based on load forecasting and indoor temperature measurement
    Sun, Chunhua
    Liu, Yanan
    Cao, Shanshan
    Gao, Xiaoyu
    Xia, Guoqiang
    Qi, Chengying
    Wu, Xiangdong
    ENERGY REPORTS, 2022, 8 : 8124 - 8139
  • [35] Inverse estimation of front surface temperature of a plate with laser heating and convection-radiation cooling
    Zhou, Jianhua
    Zhang, Yuwen
    Chen, J. K.
    Feng, Z. C.
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2012, 52 : 22 - 30
  • [36] COMPUTERIZED ENERGY REQUIREMENT ANALYSIS AND HEATING/COOLING LOAD CALCULATIONS OF BUILDINGS
    LOKMANHEKIM, M
    HENNINGER, RH
    ASHRAE JOURNAL, 1972, 14 (04) : 25 - +
  • [37] Study on the pulsed flow control on radiant cooling and heating systems in part load
    Tang, Haida
    Zhang, Tao
    Liu, Xiaohua
    Jiang, Yi
    10TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING, ISHVAC2017, 2017, 205 : 11 - 18
  • [38] Quantifying Uncertainty with Conformal Prediction for Heating and Cooling Load Forecasting in Building Performance Simulation
    Borrotti, Matteo
    ENERGIES, 2024, 17 (17)
  • [39] Simulation and design of fuzzy temperature control for heating and cooling water system
    Abduljabar Z.A.
    International Journal of Advancements in Computing Technology, 2011, 3 (04) : 41 - 48
  • [40] SYSTEM SIMULATION OF AN ELASTOCALORIC HEATING AND COOLING DEVICE BASED ON SMA
    Welsch, Felix
    Kirsch, Susanne-Marie
    Michaelis, Nicolas
    Mandolino, Michele
    Schuetze, Andreas
    Seelecke, Stefan
    Motzki, Paul
    Rizzello, Gianluca
    PROCEEDINGS OF THE ASME 2020 CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS (SMASIS2020), 2020,