冷冻水
冷却塔
冷冻机
空调
冷负荷
能源消耗
能量(信号处理)
汽车工程
模拟
水冷
计算机科学
工程类
控制理论(社会学)
控制(管理)
数学
机械工程
统计
人工智能
物理
电气工程
热力学
作者
Zhijia Huang,Xiaofeng Chen,Kaiwen Wang,Binbin Zhou
出处
期刊:Sustainability
[MDPI AG]
日期:2022-04-19
卷期号:14 (9): 4867-4867
被引量:7
摘要
In order to conduct a data-driven load forecasting modeling and its application in optimal control of air-conditioning system, this study used a hotel’s central air conditioning system as the research object. Based on the data of the hotel energy management system, the load-forecasting model of the central air conditioning system based on support vector regression (SVR) was established by MATLAB. Based on the working principle of a chiller, chilled water pump, cooling water pump, and cooling tower, the energy consumption models were established, respectively. Finally, based on the load-forecasting results and the equipment energy consumption model, the energy consumption optimization objective function of the hotel water system was established, the objective function was solved to optimize the operating parameters of the water system at different load rates, the operation control strategy for each piece of equipment was obtained, and the energy-saving analysis was carried out. The results show that in the range of a load rate of 25~90%, the optimization strategy has an energy-saving effect, and the system’s energy-saving rate is the highest when the load rate is 25.4%. The average energy-saving rate of the system is 12.4%.
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