Study On The Method Of Indoor Light And Heat Environment In Double-skin-facades Building

Double-skin fa(?)ade building saves building energy because of its unique closed structure.Most of the current researches focus on the optimization of the building envelope.Although the energy efficiency of buildings has been improved,there are still some practical engineering problems to be solved in intelligent control,such as the design and optimization of related control systems.This article aims to study the indoor light and heat environment regulation of breathing glass curtain wall buildings.First,the light and heat transfer model of the breathing glass curtain wall is established,according to the actual project,the climate adaptability of the breathable glass curtain wall buildings in summer,winter and year-round under Xi’an weather conditions was comprehensively analyzed,and the influence of the angle changes of vents and shutters on the indoor light and environment was studied.In a typical summer hot environment.Taking a typical summer day as an example,the design rules for the best angles of vent fans and shutters changing with time during the day are drawn.The control of the louver angle and the angle of the vent fan is converted to the control of the servo system.The selection and design of the control algorithm is the key to the intelligent control of the breathing glass curtain wall.The automatic disturbance rejection control technology(DE-ADRC)based on the improved differential evolution algorithm realizes the continuous change of the angle.In the control process,first obtain the transition process of the command angle signal through the improved ADRC algorithm,and dynamically adjust the parameters of the active anti-interference control algorithm(ADRC)through the improved differential evolution algorithm to improve the signal tracking effect.Comparing the signal tracking performance of PID algorithm,active interference suppression control algorithm and DE-ADRC algorithm.Second,with the control objectives of comfortable indoor temperature,comfortable relative humidity and lowest energy consumption,the multi-objective particle swarm optimization algorithm is applied to derive the optimal louver angle and vent opening fan angle,and analyze the indoor temperature,relative humidity and indoor thermal comfort conditions under such optimal control.By using the monte carlo analysis method for multi-objective optimization of the system robustness,compared with PID algorithm,ADRC algorithm,DE-ADRC algorithm,the multi-objective optimization control algorithm under the robustness of the system,and the result is shown in the multi-objective optimization algorithm under the control system stability is relatively best,strong anti-jamming capability,to prove the reliability of the algorithm.Finally,using TRNSYS building simulation software and Matlab co-simulation,the indoor photothermal control model of breathing glass curtain wall building was established.Under the control of DE-ADRC algorithm,the lighting energy consumption and cooling load were improved,the average lighting energy consumption was reduced by 6.6%～9.4%,and the average cooling load was reduced by 5.4%～10.8%.The reliability of DE-ADRC algorithm in system control is verified,and then the energy saving of breathing glass curtain wall building is improved.