Using Copernicus Atmosphere Monitoring Service (CAMS) Products to Assess Illuminances at Ground Level under Cloudless Conditions

作者: Philippe Blanc , Dominique Dumortier , Lucien Wald , Antti Arola , William Wandji Nyamsi

DOI: 10.3390/ATMOS12050643

关键词:

摘要: Natural daylight is recognized as an important variable in the energy performance of buildings. A method that estimates global illuminance received on a horizontal surface at ground level and its direct component normal incidence under cloudless conditions presented. The uses k-distribution correlated-k approximation to compute set clearness indices integrated over 13 spectral bands covering range 380–780 nm. resampling technique, including disaggregation linear interpolation, applied these for providing detailed solar irradiances 1 nm resolution whole range. Then, are weighted by standardized CIE action spectrum human eye assessing illuminance. Inputs include total column contents ozone water vapor well aerosol optical properties produced Copernicus Atmosphere Monitoring Service. Estimates were compared high-quality min measurements collected from two experimental sites located different climatic zones. slight overestimation observed illuminance: bias between +1 klx +3 klx, i.e., +1% +4% relative value. root mean square error varies 5 (8%) 6 (9%). squared correlation coefficient ranges 0.95 0.97. At site incidence, lower with 0.53. bias, RMSE, rRMSE +7 +9%, 12 15%, respectively. uncertainty order measurements. offers accurate high spatial temporal resolutions useful construction industries operators thermal simulation tools optimal building design strategies.

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