APPLICATION OF BUILDING EQUIPMENT INTELLIGENT MANAGEMENT AND CONTROL SYSTEM IN RENEWABLE ENERGY THERMAL ENERGY MODELLING

被引:0
作者
Su, Siyuan [1 ]
机构
[1] Shijiazhuang Tiedao Univ, Coll Civil Engn, Shijiazhuang, Hebei, Peoples R China
来源
THERMAL SCIENCE | 2023年 / 27卷 / 2A期
关键词
proton exchange membrane fuel cell; intelligent building; combined heat and power supply; fuzzy PID control; thermal energy; icontrol technology;
D O I
10.2298/TSCI2302075S
中图分类号
O414.1 [热力学];
学科分类号
摘要
In order to solve the dynamic characteristics of fuel cell thermal energy in building equipment intelligent control system, this paper proposes the application research of building equipment intelligent control system in renewable energy thermal en-ergy modelling. A cold water proton exchange membrane fuel cell cogeneration scheme was proposed. The heat produced by the installation is carried out by the cooling system, and the heat is exchanged between the heat exchanger and the hot water always heated in the heat exchanger. At the same time, a water tank is used to store hot water for heat recovery. Based on MATLAB simulation coupling software platform, the simulation model of fuel cell cogeneration system was es-tablished, including reactor model, power system model, heat exchanger model, etc. The simulation model of fuel cell cogeneration system was built up, including the reactor model, power system model, and so on. The experimental results show that the system can achieve good response performance and anti-disturbance by using fuzzy PID controller to control and simulate the system. At the same time, the simulation results show that the optimal efficiency of the system in the power load is about 83%. In conclusion, it can meet the modern family's thermal power demands and improve the power consumption.
引用
收藏
页码:1075 / 1082
页数:8
相关论文
共 10 条
  • [1] A review of research on dynamic thermal comfort
    Cao, Shuanghua
    Li, Xin
    Yang, Bing
    Li, Fan
    [J]. BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2021, 42 (04) : 435 - 448
  • [2] Chernov I., 2020, ANN ONCOL, V2, P31
  • [3] [金之钧 Jin Zhijun], 2020, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V35, P576
  • [4] Thermodynamic Modeling and Performance Analysis of a Combined Power Generation System Based on HT-PEMFC and ORC
    Kang, Hyun Sung
    Kim, Myong-Hwan
    Shin, Yoon Hyuk
    [J]. ENERGIES, 2020, 13 (23)
  • [5] Thermodynamic modeling and exergy analysis of proton exchange membrane fuel cell power system
    Liu, Guokun
    Qin, Yanzhou
    Yin, Yifan
    Bian, Xianzu
    Kuang, Changchun
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (54) : 29799 - 29811
  • [6] Research Progress on Advanced Carbon Materials as Pt Support for Proton Exchange Membrane Fuel Cells
    Luo Yi
    Feng Junzong
    Feng Jian
    Jiang Yonggang
    Li Liangjun
    [J]. JOURNAL OF INORGANIC MATERIALS, 2020, 35 (04) : 407 - 415
  • [7] Lx A., 2021, INT J HYDROGEN ENERG, V46, P21098
  • [8] Enhanced proton conduction in zirconium phosphate/ionic liquids materials for high-temperature fuel cells
    Mohammed, Hanin
    Al-Othman, Amani
    Nancarrow, Paul
    Elsayed, Yehya
    Tawalbeh, Muhammad
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (06) : 4857 - 4869
  • [9] Guest Editorial: Smart Fuzzy Optimization in Operational Research and Renewable Energy: Modeling, Simulation, and Application
    Vasant, Pandian
    Weber, Gerhard-Wilhelm
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (11) : 2675 - 2676
  • [10] Yu H., 2021, J PHYS C SERIES, V1