Demand response strategies for air-conditioning systems based on direct load control: Considering envelope structures

被引:1
|
作者
Zhang, Zhen [1 ]
Wei, Ying'an [1 ]
Meng, Qinglong [1 ]
Lei, Yu [2 ]
Li, Yanbo [1 ]
机构
[1] Changan Univ, Sch Civil Engn, Xian 710061, Peoples R China
[2] China Construct Third Engn Bur Installat Engn Co L, Wuhan 430040, Peoples R China
关键词
Demand response; Farmhouse air-conditioning system; Envelope; Direct load control; ENERGY-CONSUMPTION; WINDOW; PERFORMANCE; ORIENTATION; BUILDINGS;
D O I
10.1016/j.applthermaleng.2024.124026
中图分类号
O414.1 [热力学];
学科分类号
摘要
In recent years, the surge in rural air-conditioning (AC) electricity consumption has led to an overall increase in peak loads in both winter and summer, presenting a major challenge to the reliability and stability of low-voltage distribution networks. Demand response (DR) strategy not only relieves the peak load, but also reduces the energy consumption and achieves the purpose of energy saving and emission reduction. Among the many DR strategies, direct load control (DLC) stands out as an effective way to quickly reduce building AC loads. Meanwhile, the building envelope is also one of the important factors affecting the AC load. A typical rural house in the Xi'an area of Shaanxi Province was used as a case study. A ground source heat pump system was developed, installed and used as an experimental platform in order to aid the study. Therefore, in this study, the combination of external envelope and DLC strategies was investigated to establish a simulation model of energy consumption in rural building complexes. Two DLC load control strategies were implemented under different external envelope conditions for annual AC energy simulation. The results show that the thickness of the external insulation layer has the greatest impact on the AC load of the building compared to the window-wall ratio and orientation. With a thickness of 0 mm-75 mm insulation, the DCCM strategy can effectively reduce AC energy consumption by 16%-18%; With a thickness of 0 mm-75 mm insulation, the TSCM strategy can effectively reduce AC energy consumption by 5%-8%.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Air-conditioning demand response resource assessment for Australia
    Goldsworthy, Mark
    Sethuvenkatraman, Subbu
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2020, 26 (08) : 1048 - 1064
  • [32] Hierarchical Control of Air-Conditioning Loads for Flexible Demand Response in the Short Term
    Ju, Ping
    Jiang, Tingyu
    Li, Hongyu
    Wang, Chong
    Liu, Jingzi
    IEEE ACCESS, 2019, 7 : 184611 - 184621
  • [33] Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors
    Zhang, Zihang
    Zhang, Peng
    Zhao, Yuan
    Chen, Xiaodong
    Zong, Zheng
    Wu, Kai
    Zhou, Jun
    ENERGY REPORTS, 2020, 6 : 3303 - 3315
  • [34] Development of a dynamic demand response quantification and control framework for fan-coil air-conditioning systems based on prediction models
    Cao, Jingyu
    Zhao, Wanfang
    Song, Jiaming
    Peng, Jinqing
    Yin, Rongxin
    APPLIED THERMAL ENGINEERING, 2024, 239
  • [35] Experimental results of different control strategies in a solar air-conditioning system at part load
    Bujedo, Luis A.
    Rodriguez, Juan
    Martinez, Pedro J.
    SOLAR ENERGY, 2011, 85 (07) : 1302 - 1315
  • [36] Supply-based feedback control strategy of air-conditioning systems for direct load control of buildings responding to urgent requests of smart grids
    Wang, Shengwei
    Tang, Rui
    APPLIED ENERGY, 2017, 201 : 419 - 432
  • [37] A Two-Way Direct Control of Central Air-Conditioning Load Via the Internet
    Yao, Leehter
    Lu, Hau-Ren
    IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (01) : 240 - 248
  • [38] A Load Restoration Amount Reduction Method Considering Demand Response of Air Conditioning Loads
    Fan, Rui
    Sun, Runjia
    Liu, Yutian
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (11): : 2869 - 2877
  • [39] Bayesian Network-based Air-conditioning Control Considering of Occupants Requests
    Kojima, Kazuyuki
    Okumura, Takahiro
    2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2014, : 75 - 76
  • [40] Modeling, identification and control of air-conditioning systems
    Lin, Jin-Long
    Yeh, T-J.
    INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2007, 30 (02): : 209 - 220