智能建筑工程中基于人工智能的节能优化控制策略研究  

INTELLIGENT BUILDING ENGINEERING:STUDY ON ENERGY SAVING OPTIMIZATION CONTROL STRATEGIES BASED ON ARTIFICIAL INTELLIGENCE

作　　者：李勇 Li Yong

机构地区：[1]菏泽城投控股集团有限公司,山东菏泽274000

出　　处：《建筑技术开发》2024年第11期141-143,共3页Building Technology Development

摘　　要：现行暖通空调(HVAC)系统多采用恒定混合空气温度控制,其存在能源使用率低下的问题。基于此,研究提出并开发了一种基于人工神经网络的预测模型,通过与EnergyPlus、Matlab和BCVTB进行联合仿真,优化节能器控制,实现负荷与能耗的预测。研究结果表明,该模型在实际操作中可显著降低能源消耗,可节约28.9%的能源,其展示了智能控制系统在建筑能效管理中的应用潜力。The current HVAC system mostly uses constant mixed air temperature control,which has the problem of low energy efficiency.Based on this,a prediction model based on artificial neural network is proposed and developed.Through co-simulation with EnergyPlus,Matlab and BCVTB,the control of energy saver is optimized to realize the prediction of load and energy consumption.The results show that the model can significantly reduce energy consumption in practical operation,saving 28.9%of energy,which shows the application potential of intelligent control system in building energy efficiency management.

关 键 词：智能建筑 HVAC 人工神经网络 节能 

分 类 号：TU723.3[建筑科学—建筑技术科学]