摘要
针对空调系统能效控制问题,通过分析压缩机、换热器和环境负荷等关键影响因素,构建包含热力学过程、制冷剂流动和传热的综合动态数学模型。基于该模型设计多参数协调自适应控制算法,采用模型预测控制实现压缩机频率、膨胀阀开度和风机转速的最优协调。仿真结果表明,相较传统控制方式,系统平均性能系数(Coefficient of Performance,COP)从2.85提升至3.85,温度控制精度提高为±0.3℃,日能耗降低至20.8 kW·h。
To address the energy efficiency control issue of air conditioning systems,a comprehensive dynamic mathematical model incorporating thermodynamic processes,refrigerant flow,and heat transfer is developed by analyzing key influencing factors such as compressors,heat exchangers,and environmental loads.Based on this model,a multi-parameter coordinated adaptive control algorithm is designed,employing model predictive control to achieve optimal coordination of compressor frequency,expansion valve opening,and fan speed.The simulation results indicate that compared to traditional control methods,the system’s average Coefficient of Performance(COP)increases from 2.85 to 3.85,temperature control accuracy improves to±0.3℃,and daily energy consumption is reduced to 20.8 kW·h.
作者
杨俊通
YANG Juntong(Shanxi Vocational&Technical College of Finance&Trade,Taiyuan 030031)
出处
《现代制造技术与装备》
2026年第1期89-91,共3页
Modern Manufacturing Technology and Equipment
关键词
动态模型
空调系统
能效控制
模型预测控制
节能优化
dynamic model
air conditioning system
energy efficiency control
model predictive control
energy saving optimization
