Research On Dynamic Energy Saving Method Of Public Building Lighting System

With the rapid development of the economy,building energy consumption accounts for an increasing proportion of the country's energy consumption.Among the building energy consumption,public buildings have been regarded as the focus of building energy conservation due to their large number of people,large total energy consumption,and complex energy consumption structure.In the energy consumption of public buildings,lighting energy consumption accounts for 20%-40% of the total energy consumption.Therefore,lighting energy-saving potential is greater.How to adjust the lighting system by intelligent lighting dimming control,in meeting the desired lighting environment,but also to avoid excessive lighting to achieve energy-saving purposes is a research hotspot.The energy-saving analysis of the factors affecting the lighting energy consumption of public buildings is based on the following four factors: lighting choice,lighting,natural light use,and human behavior.Based on these several factors,a public building lighting energy consumption model is established.From the aspect of dynamic energy conservation,human behavior and natural lighting are the main influencing factors.Therefore,based on this paper,the following three aspects are studied:(1)Based on the lighting energy consumption model of public buildings,it is analyzed that human behavior is one of the main factors that affect the lighting energy consumption of public buildings dynamically.Based on the movement and movement control model of human behavior,a single-person and multi-person office lighting energy consumption model based on human behavior is established.This model takes office buildings as the research object,and carries out the lighting energy consumption characteristics based on human behavior in office buildings.In-depth analysis and validation of the model.(2)Due to the fact that many people use more energy in office lighting,a public building lighting energy saving method 1—the intelligent compensation of natural lighting is proposed to reduce the energy consumption of lighting.An illumination model based on outdoor illuminance was established-this model uses a natural light source to provide a comfortable light environment for the room and illuminance compensation through an artificial light source.According to the constant change of outdoor illumination over time,the Q-learning algorithm is used to dynamically adjust the luminous flux of the lighting device,aiming to meet the illumination demand and achieve the dynamic energy saving of the lighting system.(3)Aiming at the difference of lighting scenes,an energy saving method for public building lighting,which is called intelligent tracking of personnel movement,is proposed.This method establishes a lighting energy consumption model based on personnel position movement,and dynamically adjusts the luminous flux of the lighting system on the model platform.The output,solve the optimal dimming combination.This model takes the public building's corridors at night,underground garages,and other places as research objects,and establishes a mobile lighting energy model based on personnel position with constraints.According to the movement of the position of a person within a certain interval with time,the output of the luminous flux of the lighting system is dynamically adjusted,and the purpose of dynamic energy saving can be achieved simultaneously with the illumination demand.Theoretical analysis and experimental results show that human behavior has a direct impact on the energy consumption of lighting.Based on the above two proposed dynamic energy-saving methods and other control strategies,a comparative experiment was conducted on the proposed lighting energy consumption model platform to compare its energy-saving effect.The experimental results show that these two methods have significant energy-saving effects and greatly reduce lighting energy consumption.