摘要
介绍了一种基于ANN的合同能源管理节能量计算方法。分析了公共建筑能耗的主要影响因素,利用ANN建立了公共建筑的实际能耗计算模型,得出全年能耗模拟值。节能量即为该模拟值与改造后的实际能耗值之差。对南京市两幢公共建筑2007年能耗进行了仿真模拟,全年模拟能耗与实际能耗偏差均在3%以内。
Describes a method based on artificial neural networks (ANN) to calculate the energy conservation amount in energy management contract(EMC). By analysing the major influencing factors of energy consumption of public buildings and establishing the calculation model of actual energy consumption with ANN, simulates the annual consumption. The energy conservation amounts are equal to the margin between the simulated energy consumption value and the actual value after reformed. The simulation of the energy consumption of two public buildings in 2007, in Nanjing, shows that the deviation between the annual simulated value and the actual value is within 3%.
出处
《暖通空调》
北大核心
2009年第4期122-125,共4页
Heating Ventilating & Air Conditioning
关键词
合同能源管理
节能量
人工神经网络
energy management contract (EMC), energy conservation amount, artificial neural network (ANN)