Research On Building Mechanism Model Simulation For Energy Saving Control

In order to save energy,this paper studies the modeling and model prediction control strategy of modern buildings with HVAC.Approximately 40% of the global energy consumption occurs in buildings.In addition to adopting new materials and new structures to improve building energy efficiency,the implementation of advanced HVAC system control strategy is also a main mean to improve energy efficiency of buildings,especially when meeting existing building energy saving needs.The advanced building control system realizes the tradeoff between the best comfortableness and the minimum energy consumption.The comfort includes room temperature,air quality,psychology etc.Factors which affect the energy efficiency of the building include the building body,the climate,seasons,sunshine,the living condition etc.Both of them lead to complex dynamic characteristics of building,such as multivariable,nonlinear,uncertain,and time-varying disturbance.The control of such objects requires a clear understanding of their movement and change.A mechanism model is established based on the law of conservation of energy.The thermal dynamic model of building based on the first principle of conservation is derived by using standard geometry and building data.The state variable is the temperature of the walls,floors,and ceilings in each room;control variables are various external heat flux;The climate and occupancy are disturbance;The output variable is indoor temperature.The accuracy of the model is verified by the simulation experiment.Further,based on the simplified model,the predictive control algorithm is designed.The control objective is energy consumption,and the constraints include the plant,the range of comfort temperature etc.The results of the closed loop simulation show that the model predictive controller can effectively suppress the disturbance,track the set point,and deal with the constraints.