Applicability Study On DeST Typical Meteorological Year Data For Daylight Simulation Of Buildings In Tianjin

Recent years,the Typical Meteorological Year Data have been used in daylighting simulation of buildings more widely.Normally,the Typical Meteorological Year has been developed according to its basic use.The development of TMY data depends on the research person's ideas and methods.The accuracy of the daylighting simulation will also be affected.The DeST data was developed by Tsinghua University and China's National Weather Bureau,and the original data came from 194 meteorological observation stations in China.However,urban climate may change during the data update cycle.Nowadays,the DeST data can't meet the development of dynamic daylighting simulation any more.In order to solve these problems,this paper studies the applicability of the DeST data in Tianjin from two aspects:data comparison and data correction.Based on the measured data of Tianjin,the innovation of this research is using the climate short-sequences data correction methods to study on the data correction problem of the TMY data produced by DeST.Finally,a revised TMY data is obtained.The research results are as follows:Firstly,between August 2015 and July 2017,the solar radiation observation work has been carried out in Tianjin.The observation parameters include global solar irradiance and direct solar irradiance.This paper uses CSWD?ChinaTMY2?DeST TMY data,which has been commonly used in China.Based on the following ways like Annual variation?Seasonal variation?Monthly variation,and using nearly two years of observation data of Tianjin as reference,the value of global solar irradiance and diffuse irradiance are compared.The variation rule and differences of the three TMY data are preliminarily discussed.From the comparison of the global solar irradiance,the TMY data produced by DeST is more in line with the climatic characteristics of Tianjin.ChinaTMY2 data is generally higher than the measured data of Tianjin,and there are significant differences between CSWD data and the measured data of Tianjin.However,the result of the comparison of diffuse irradiance is not ideal.Secondly,based on the correlation analysis and the non-parametric test methods,the paper studies the deep relationships between DeST data and the measured data of Tianjin by using the SPSS statistical analysis software.The results show:The correlation coefficient of global radiation monthly mean value between DeST data and the measured data of Tianjin are both greater than 0.8.Then,the paper uses the climate short-sequences data correction methods to study on the data correction problem of DeST data.Through the MBE and RMSE index analysis can proved that the simple regression correction method is the best.Finally,this paper introduces some contents like:the creation steps of the weather files in epw format;the operation steps of daysim software and setting of the environment parameters,etc.It is proved that the difference of the time step of meteorological data can have a certain effect on the accuracy of the simulation results,and the 10-minute time step is more accurate.The relative error of the results was between-14.29%and 41.18%.On the basis of the previous research,this paper ends up with a revised DeST data.The revised data can properly reflect the reality of the city's daylight climate in recent years.It is of great significance to study on dynamic daylighting of buildings and guide daylighting design.