Research On Natural Lighting Design Of Typical Classrooms In Universities In Guangzhou Based On Multiobjective Optimization Algorithm

Natural lighting is an important evaluation index for the physical performance of classrooms,which is of great significance for protecting students’ visual health and enhancing learning efficiency.Compared with artificial light,good natural lighting design can improve the visual comfort of indoor space,thus effectively enhancing the motivation of users to study and work.The classroom is the main place for college students to attend classes and study,and its natural lighting design is crucial.However,architects can often make preliminary decisions on lighting design only based on window-to-ground ratio indicators and their own experience during the planning stage,which can easily lead to large errors between actual and expected values.With the gradually increased requirements for classroom lighting quality,the past rough design mode needs changing to the refined one,while the development of digital simulation technology and the improvement of the natural lighting evaluation system happen to provide a broader space for optimizing classroom lighting design.In this context,with the help of multi-objective genetic algorithm,this paper takes a typical south-facing classroom unit with corridor style double side windows in Guangzhou university’s teaching building as the research object,as well as introducing dynamic lighting evaluation index with the aim of increasing all-natural lighting percentage DA and effective natural lighting illuminance percentage UDI and reducing the probability of all-natural glare DGP,optimizing the design variables of classroom morphology and external windows along with lighting auxiliary facilities.First,sort out the basic theory of multi-objective optimization of lighting performance,and illustrate the light climate,lighting evaluation indexes as well as related simulation software of Guangzhou area.Secondly,through field research,it is found that the problems of low indoor illuminance value and lighting coefficient generally exist in the classrooms of Guangzhou colleges and universities,and the main reasons are analyzed.Again,develop an experimental platform for multi-objective optimization of the lighting performance of college classroom units,using Grasshopper as the operating environment,combining Ladybug &Honeybee natural lighting simulation technology and Octopus multi-objective optimization algorithm to investigate the design of decision variables and optimization objectives to reduce the probability of glare while effectively using natural light in the classroom.Finally,the Pareto front solution set with parabolic distribution of space is derived,after verifying the results,it is concluded that the three target values of DA,UDI and DGP constrain each other,and the overall experiment has the greatest tendency to optimize the DA value.According to the global optimum principle,select the solution set in which each index is optimized,and summarize the design strategy of classroom unit space of Guangzhou universities based on natural lighting performance.At the same time,based on the data collation and analysis,a set of classroom unit solutions for lighting performance optimization is formed,and the representative solutions are visualized and analyzed to verify the rationality of the design,providing a reference for classroom natural lighting performance simulation optimization and architectural design practice.