水源热泵空调系统的BP神经网络模型研究  

Prediction of water-source heat pump air-conditioning system on BP neural network

作　　者：刘光辉[1] 胡益雄[1] 孙超[1] 刘军[1] 

机构地区：[1]中南大学能源科学与工程学院

出　　处：《制冷与空调》2015年第6期48-54,共7页Refrigeration and Air-Conditioning

摘　　要：水源热泵空调系统的负荷以及能耗具有很强的非线性特点,在对其进行研究的过程中,传统的建模方法难以反映系统运行的实际特点,并且模型预测精度和抗干扰能力相对较差。利用BP神经网络的非线性映射特点,建立水源热泵空调系统的能耗模型,能够有效解决水源热泵空调系统能耗影响因素多且复杂的问题,给水源热泵中央空调系统的能耗预测提供一个方向。The load and energy consumption of water-source heat pump air-condition- ing system has strong non-linear characteristic, and it is difficult to reflect the actual char- acteristics of system operation in the process of study of the traditional modeling method, and the model＇s prediction accuracy and anti-interference ability are relatively poor. Using the nonlinear mapping characteristics of BP neural network, we can establish the energy consumption model of water-source heat pump air conditioning system, and then we can effectively solve the system energy consumption influence factors and complicated problem of the water-source heat pump air-conditioning. It also provides a direction to the energy consumption prediction of the water-source heat pump central air-conditioning system.

关 键 词：水源热泵空调系统 BP神经网络 能耗预测 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程] TP183[自动化与计算机技术—控制理论与控制工程]