Automatic operation method using wireless sensor networks for variable refrigerant flow system: Switchless control variable refrigerant flow system

被引:0
|
作者
Suzuki, Toshihiro [1 ]
Shimoda, Yoshiyuki [2 ]
Kobayashi, Akito [2 ]
Shiochi, Sumio [3 ]
机构
[1] Osaka Univ, Campus Sustainabil Off, Osaka, Japan
[2] Osaka Univ, Grad Sch Engn, Osaka, Japan
[3] Daikin Ind LTD, Technol & Innovat Ctr, Osaka, Japan
关键词
Variable refrigerant flow system; Energy efficiency; Medium-sized buildings; Sensor networks; AIR-CONDITIONING SYSTEM; ENERGY PERFORMANCE; VRF; SAVINGS;
D O I
10.1016/j.enbuild.2025.115379
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Variable refrigerant flow (VRF) systems autonomously operate using built-in sensors regulated by remote settings and indoor unit intake temperatures. However, in larger spaces with multiple indoor and outdoor units, autonomous VRF systems lack the benefits of an integrated system, such as balanced load distribution, coordinated operation, and efficient ventilation. To overcome these challenges, the authors developed a "switchless VRF system" designed for small to medium-sized buildings. This system improves comfort and energy efficiency by eliminating extensive control mechanisms and switches, ensuring uniform performance and greater energy saving. We performed detailed demonstration experiments to evaluate the system's effectiveness across four key functions (pre-cooling and pre-heating, human sensing HVAC control, outdoor unit rotation control, and indoor unit fan power reduction functions). In the first control, the VRF system demonstrated significant energy efficiency, achieving 18 % energy saving in summer pre-cooling. In the second, the human-detection ventilation control effectively modulated the ventilation volume by real-time monitoring of the number of occupants, resulting in approximately 35 % energy saving. In the third, the rotational control strategy enhanced the average COP of the outdoor units by 17.7 %. In the fourth, a reduction in indoor-unit fan power led to an overall power consumption decrease of 8.6 % by ceasing fan operation when the thermostat was deactivated. This innovation addresses the modern needs of building management and energy conservation, making it a viable option for enhancing HVAC operations.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Variable flow and volume refrigerant system
    Goetzler, W
    Roth, KW
    Brodrick, J
    ASHRAE JOURNAL, 2004, 46 (01) : S164 - S165
  • [2] Modelling variable refrigerant flow system for control purpose
    Wang, Dan
    Li, Mingchen
    Guo, Mingyue
    Shi, Qiaobo
    Zheng, Chunyuan
    Li, Dongdong
    Li, Siqi
    Wang, Zhe
    ENERGY AND BUILDINGS, 2023, 292
  • [3] A GENERALIZED ANALYTIC METHOD FOR PREDICTING REFRIGERANT CHARGE AMOUNT IN A VARIABLE REFRIGERANT FLOW (VRF) SYSTEM
    Hong, Sung Bin
    Yoo, Jin Woo
    Kim, Min Soo
    5TH IIR INTERNATIONAL CONFERENCE ON THERMOPHYSICAL PROPERTIES AND TRANSFER PROCESSES OF REFRIGERANTS (TPTPR), 2017, : 385 - 392
  • [4] Variable refrigerant flow
    Fiegen, Brian
    ASHRAE JOURNAL, 2007, 49 (06) : 8 - 8
  • [5] A GENERALIZED ANALYTIC METHOD FOR PREDICTING REFRIGERANT CHARGE AMOUNT IN A VARIABLE REFRIGERANT FLOW (VRF) SYSTEM
    Hong, Sung Bin
    Yoo, Jin Woo
    Kim, Min Soo
    5TH IIR INTERNATIONAL CONFERENCE ON THERMOPHYSICAL PROPERTIES AND TRANSFER PROCESSES OF REFRIGERANTS (TPTPR), 2017, : 1040 - 1047
  • [6] Local vs. integrated control of a variable refrigerant flow system using artificial neural networks
    Ahn, Kiuhn
    Kim, Kyung Jae
    Song, Kwanwoo
    Park, Cheol Soo
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2020, 26 (08) : 1117 - 1131
  • [7] Research on Cooperative Control and Stability of Variable Refrigerant Flow Refrigeration System
    Cheng, Zheming
    Zhang, Jiani
    Tao, Leren
    Chen, Jianhong
    Zheng, Zhigao
    Huang, Lihao
    JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS, 2025, 17 (01)
  • [8] Automatic Generation of Pipe Routing for Variable Refrigerant Flow Air Conditioning System
    Dong, Liyan
    Lin, Bo
    Jiang, Yu
    Wang, Weixiang
    Zhang, Yake
    Gu, Jiefan
    Xu, Peng
    JOURNAL OF BUILDING ENGINEERING, 2025, 100
  • [9] STOCHASTIC ASSESSMENT FOR MODEL PREDICTIVE CONTROL OF A VARIABLE REFRIGERANT FLOW SYSTEM
    Choi, Seo-Hee
    Cho, Seongkwon
    Park, Cheol Soo
    2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM, 2023, : 597 - 606
  • [10] Variable refrigerant flow technology
    Hwang, Yunho
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2015, 21 (07) : 903 - 903