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作 者:欧阳思钰 雷波[1] Ouyang Siyu;Lei Bo(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,610031)
出 处:《制冷与空调(四川)》2021年第4期532-536,共5页Refrigeration and Air Conditioning
摘 要:以川藏线某铁路客运站地板辐射加全空气系统的复合供暖空调方式为对象,研究节能控制方法。通过建立复合式地板辐射供暖的仿真模型,分析得出了地板辐射100%优先供暖为最节能的控制策略;在地板辐射优先供暖控制策略的基础上,采用神经网络与模糊控制相结合的控制算法,仿真结果表明室内作用温度的控制效果更好,系统的流量变化更加平稳,能耗降低了17.9%,优于传统的PID控制。In this paper,the control method of saving energy is studied based on the hybrid heating form of using radiant floor and air system in a railway passenger station on Sichuan-Tibet line.By establishing the simulation model of hybrid radiant floor heating system,it is concluded that the radiant floor 100%priority heating is the most energy saving control strategy.Based on this control strategy,the control algorithm combining neural network and fuzzy control is adopted.The result show that the control effect of indoor operative temperature is better,the flow change of system is more stable,and the energy consumption is reduced by 17.9%,which is better than the traditional PID control.
关 键 词:复合式地板辐射供暖 神经模糊控制 控制策略 控制算法
分 类 号:TU833[建筑科学—供热、供燃气、通风及空调工程] TU832
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