Optimization Of Daylighting Environmental Performance In Interior Shopping Streets

The introduction of daylight not only provides consumers with the natural,healthy and dynamic spatial light environment,but also has important significance in reflecting the spatial characteristics and lighting energy-saving.However,the performance of daylighting environment is affected by many factors in interior shopping streets,involving the guiding and limiting effects of windows and spatial shapes on daylight,the effects of visual design on the psychological perception of consumers,and the energy-saving effects by the introduction of daylight.In addition,the interaction between the daylight environment and the other spatial and environmental factors is also an important aspect affecting its perfo rmance.The diversity of the above influencing factors determines that daylight environment design is a more complex task.The aim of this thesis is to select the main factors according to the weight of the factors affecting the performance of the daylight ing environment in interior shopping streets.The corresponding evaluation indexes are determined,through the suitability analysis of light environment indexes on the evaluation of factors.Based on this,the relationships between spatial form and subjective evaluation and indexes have been studied,and then a multi-objective optimization design method has been established to improve the daylight environmental performance in interior shopping streets.Based on the space data and the field survey of light environment in 17 shopping malls,the spatial shape features,daylighting environment design features,light environment distribution characteristics,and subjective evaluation results have been mastered,which laid the foundation for follow-up research.Combined with the results of questionnaire survey and literature survey,14 factors that affect the daylighting environmental performance in interior shopping street and their weights have been proposed using the analytic hierarchy process.Furthermore,two key factors have been derived that are the effective range of daylighting and the level of light distribution.Through comparison of physical metrics for assessing the factors' suitability,it has been concluded that the metrics of the two factors are the daylighting autonomy and the luminance of the scene.In order to achieve optimal performance of the two key factors,with the guidance of daylight availability and visual comfort,an in-depth study has been conducted on the quantitative relationships between spatial parameters and daylighting autonomy,and subjective satisfaction and luminance of the scene.From the perspective of daylight availability,the quantitative relationship between spatial parameters and daylighting autonomy has been studied.First,based on the design parameters of three typical daylighting spaces,an orthogonal test method has been used to determine the simulation model,and Diva for Grasshopper has been applied for parametric modeling and calculation of the daylighting autonomy.Secondly,based on the spatial parameters of the model and the simulation results of daylighting autonomy,the most significant spatial parameters that affect the daylighting autonomy value have been obtained using sensitivity analysis,correlation analysis and other methods,and the relationship between variables has been established through regression analysis.From the perspective of visual comfort,the quantitative relationship between the subjective satisfaction of the light environment and the average luminance of the scene has been studied.First,based on the subjective satisfaction of light environment,the difference analysis has been used to determine samples classification based on light environment conditions.Secondly,luminance-based metrics of the scene have been extracted using high dynamic range image technology.Finally,through correlation analysis and fit analysis,it has been determined that the quantitative index that is most closely related to the evaluation of subjective satisfaction is the average luminance of the scene,and the relationship between the two has been established using regression analysis.Based on the weights of the two key factors of the daylighting environmental performance in interior shopping streets and the evaluation methods of the corresponding metrics,the comprehensive performance of two key factors has been studied.A multi-objective particle swarm optimization algorithm has been used to established the basic optimization models of three typical daylighting sp aces using Grasshopper platform and Matlab software.The spatial parameters with the optimal daylighting environmental performance can been obtained through optimization calculation,which can provide reference for the performance analysis and optimization design of daylighting environment in interior shopping streets.The innovative results of this thesis are followed.The key factors and their weights of the daylight environmental performance in interior shopping streets have been proposed,and the corresponding indexes have been determined.The spatial parameters affecting the daylighting autonomy value and the quantitative relationship between the two have been revealed.The average luminance of the scene which is most closely related to the subjective satisfaction of the light environment and the quantitative relationship between the two have been revealed.A method for optimizing the daylight environment in interior shopping streets has been proposed,and an optimization program has been developed.This study will help designers accurately grasp the effects of the key performance of the daylight environment in interior shopping streets,provide guidance for the optimization of the overall performance of the daylight environment in interior shopping streets,and will help achieve the goals of rational use of daylight and creation of a good daylight environment.