摘要
Abstract
Aiming to improve indoor thermal comfort,an energy saving dynamic control method for indoor thermal comfort based on sensor data and bee colony algorithm is proposed.After using temperature and humidity sensors to collect indoor temperature and humidity data,these data are then stored in a data-base.Based on the indoor temperature and humidity data,a dual channel HVAC energy consumption mod-el is established to obtain the current indoor air conditioning energy consumption value.Then,based on the indoor temperature and humidity data,the current indoor thermal comfort PMV value is calculated,and the indoor thermal comfort energy saving dynamic control objective function is established.Then,the ob-jective function takes the minimum energy consumption of air conditioning and the optimal value of indoor thermal comfort PMV as the objectives.After optimizing the energy saving dynamic control objective func-tion parameters of indoor thermal comfort by using bee colony algorithm,the indoor thermal comfort energy sav-ing dynamic control model is solved.The output results of the model are input into the environmental variable single loop controller,which controls the indoor dual channel HVAC to achieve the dynamic control of indoor thermal comfort and energy conservation.The experiment shows that this method can effectively collect indoor temperature and humidity data,control indoor temperature and humidity changes,maintain indoor temperature and humidity balance,expand the range of indoor thermal comfort,and has a good application effect.关键词
传感器数据/蜂群算法/热舒适度/节能动态控制/空调能耗Key words
sensor data/bee colony algorithm/thermal comfort/energy saving dynamic control/air condi-tioning energy consumption分类
建筑与水利
