摘要
开发了变风量(VAV)HVAC系统热力过程的优化模型;采用改进的Hopfield人工神经网络进行优化。仿真优化结果表明:采用优化运行模式可以大大节约能耗,优化运行时随着室外温度的变化,新风、送风以及送到每个被控区域的空气流量也相应变化,能耗和冷冻水温也会相应改变;改进的Hopfied网络不仅对变风量HVAC系统的热力过程进行优化得到了比较满意的优化解,而且其本身也是Hopfield网络很有意义的发展。
The mathematic models of thermal processes in a variable air volume of heating, ventilating and air conditioning (HVAC) for optimization is explored. The optimal control problem is formulated and solved by means of improved Hopfield network. It is shown that the optimization of outdoor air economy cycle results in significant savings. It is also shown that the flow rate of supply air, fresh air and zone air, chilled water temperature and power consumption would be changed with outdoor air-temperature. The improved Hopfield ANN is a large progress.
出处
《制冷与空调（四川）》
2003年第2期5-8,共4页
Refrigeration and Air Conditioning
