Coupled building simulation and CFD for real-time window and HVAC control in sports space

被引:3
|
作者
Li, Yu [1 ,2 ]
Li, Lingling [1 ,2 ]
Cui, Xue [3 ]
Shen, Pengyuan [4 ,5 ]
机构
[1] Harbin Inst Technol, Sch Architecture & Design, Harbin 150001, Peoples R China
[2] Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement En, Harbin 150001, Peoples R China
[3] Hong Kong Polytech Univ, Fac Construct & Environm, Dept Bldg & Real Estate, Hong Kong, Peoples R China
[4] Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[5] Harbin Inst Technol, Shenzhen 518055, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Building energy simulation; CFD; Co-simulation; Sports buildings; Real-time control; INDOOR THERMAL ENVIRONMENT; NATURAL VENTILATION; ENERGY SIMULATION; FLUID-DYNAMICS; AIR-FLOW; COMFORT; OPTIMIZATION;
D O I
10.1016/j.jobe.2024.110731
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Accurately predicting players' thermal comfort in large sports spaces for real-time window and HVAC operations presents significant challenges due to non-uniform thermal distributions. Standalone building energy simulation (BES) typically assumes the entire targeted space as a uniform thermal zone, which fails to capture these variances. Conversely, Computational Fluid Dynamics (CFD) simulation can predict indoor thermal environments with precision but often struggles with determining accurate boundary conditions. This study introduces a coupled BES and CFD simulation method tailored for real-time window and HVAC control in sports spaces. A case study was conducted in a prototypical national fitness hall to evaluate the effectiveness of the proposed method. The thermal comfort and cooling energy results from the co-simulation-based control were compared with those from standalone EnergyPlus simulation-based control and fixed-schedule window and HVAC operations, which served as baselines. The results indicate that the proposed method enhanced thermal comfort by 68.5 % compared to constantly-scheduled window operations and achieved daily energy savings of up to 43.5 % versus constantly- scheduled HVAC operations. Furthermore, significant discrepancies in Average Predicted Mean Vote (PMV) PMV ) or Average Adaptive Predicted Mean Vote ( aPMV ) as well as daily cooling energy consumption between the BES-CFD co-simulation and standalone EnergyPlus simulation were identified, ranging from-0.53 to 1.83 for PMV ( aPMV ) and-2444.6 to 1266.5 kWh for cooling energy. This study contributes novel methods for real-time window and HVAC control in sports buildings towards thermally comfortable and energy-efficient sports environments.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] COMPUTER MONITOR AND CONTROL (CMAC) - REAL-TIME SYSTEMS WINDOW
    PENWELL, R
    BULAND, B
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1977, 13 (04) : 455 - 455
  • [22] Real-time simulation of friction in a flexible space manipulator
    Breedveld, P
    Diepenbroek, AY
    vanLunteren, T
    8TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS, 1997 PROCEEDINGS - ICAR'97, 1997, : 999 - 1006
  • [23] Real-Time Simulation and Control of Helicopter Systems
    Singh, Rupam
    Bhushan, Bharat
    Varshney, Ankita
    2019 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, CONTROL AND AUTOMATION (ICPECA-2019), 2019, : 172 - 177
  • [24] Integrated environment for real-time control and simulation
    Grega, W
    COMPUTERS IN INDUSTRY, 1996, 31 (01) : 1 - 14
  • [25] Real-Time Error Control for Surgical Simulation
    Huu Phuoc Bui
    Tomar, Satyendra
    Courtecuisse, Hadrien
    Cotin, Stephane
    Bordas, Stephane P. A.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 65 (03) : 596 - 607
  • [26] REAL-TIME DIGITAL SIMULATION FOR SYSTEMS CONTROL
    SAGE, AP
    SMITH, SL
    PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1966, 54 (12): : 1802 - &
  • [27] Real-Time Simulation and Control of a SAG Mill
    Guerrero, F.
    Bouchard, J.
    Poulin, E.
    Sbarbaro, D.
    IFAC PAPERSONLINE, 2016, 49 (20): : 61 - 66
  • [28] Real-time optimal control of HVAC systems: Model accuracy and optimization reward
    Hou, Jin
    Li, Xin
    Wan, Hang
    Sun, Qin
    Dong, Kaijun
    Huang, Gongsheng
    JOURNAL OF BUILDING ENGINEERING, 2022, 50
  • [29] Dynamic-window search for real-time simulation of dynamic systems
    Yoon, S
    Kang, H
    COMMUNICATIONS IN NUMERICAL METHODS IN ENGINEERING, 2003, 19 (11): : 877 - 886
  • [30] SIMULATION ENVIRONMENTS FOR PROCESS-CONTROL AND REAL-TIME SIMULATION
    FAYEK, AM
    VANSTEENKISTE, GC
    SIMULATION METHODOLOGIES, LANGUAGES AND ARCHITECTURES AND AI AND GRAPHICS FOR SIMULATION, 1989, : 103 - 106