摘要
变风量空调系统优化节能控制的一个要素是空调系统的风道分布参数的变化规律。通过对风道实测数据的分析,建立了风道分布参数实时变化的神经网络辨识模型和现代回归辨识模型,并研究它们和周围影响因素的关系,同时借用暖通空调专业仿真软件HVACSIM+进行系统仿真,对两者进行了比较,结果表明,HVACSIM+可以仿真相对复杂的大系统,而系统辨识的精度较高。
The temperature rise and pressure losses along the ducts in variable air volume air conditioning system is essential to optimal energy - saving control. With ARX and artificial neural network identification, modeling temperature rise and pressure losses along ducts is presented according to experimental data of variable air volume air conditioning system. The relationship among them and the ambient conditions of the ducts are studled. The heating, ventilation, air conditioning simulation software HVACSIM ＋ is adopted to simulate the temperature rise and pressure losses and the results of simulation are compared with that of ARX, which confirms that HVACSIM ＋ is suitable to complicated system and system identification leads to more accurate results.
出处
《节能技术》
CAS
2006年第6期487-490,共4页
Energy Conservation Technology
