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Research On The Balance Optimization Of Sunlight Environment Quality In Open Office

Posted on:2022-09-23Degree:MasterType:Thesis
Country:ChinaCandidate:G H ZhangFull Text:PDF
GTID:2492306569496084Subject:Architecture
Abstract/Summary:PDF Full Text Request
Due to the functional requirements of open office,it is often necessary to endow the office with larger depth and opening area in the passive design stage.Due to the large scale of the open office,the natural lighting in the open office is usually unbalanced.The window users usually use the way of pulling the window curtain to block the natural light and use artificial lighting to solve this problem.This phenomenon not only reduces the overall utilization efficiency of natural light in open office,but also increases a lot of additional lighting energy consumption.In order to improve the utilization of natural light in open office and reduce the waste of lighting energy consumption.Based on the effective natural lighting time percentage(UDI)and daylighting uniformity,this paper proposes a new evaluation standard of indoor natural lighting level in open office,and establishes the indoor lighting evaluation system for open office.This paper selects an open office in Shenzhen as the target office after visiting and field investigation.Aiming at the imbalance of natural lighting in the target office,combined with the selection of existing lighting and shading methods,a fine control method of daylighting window grid control combined with curtain multi-directional control is proposed.Through the application of the fine control of lighting and shading in the target office in typical meteorological years,and comparing and analyzing the natural lighting level of the target office before and after the fine control,it is verified that the lighting and shading fine control method can optimize the indoor natural light environment of open office.This paper establishes three kinds of machine learning work plane natural light intensity prediction models based on lgbm,LR linear regression and KNN algorithm,and selects the lgbm illumination prediction model with the best prediction effect to apply in the optimization design strategy of the year-round open office lighting and shading system.This paper proposes a set of dynamic optimization design strategy of open office lighting and shading system at the annual scale,and verifies the effectiveness of the design strategy under the simulated annual actual sky conditions.
Keywords/Search Tags:Open Office, Sunlight, Daylighting, Shading, Fine control, Annual Control Strategy
PDF Full Text Request
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