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Abstract
Satellite-based methods are proposed for the estimation of clear day average hourly illuminance from satellite data under local climate conditions. First, aerosol optical depth (AOD) data collected using a ground-based sun photometer were used to calibrate the satellite remote sensing AOD data. Next, we screened for the factors affecting the illuminance of clear sky and detected three important factors, namely the sine of the solar altitude angle, aerosol optical thickness, and atmospheric precise water content. Finally, based on the AOD data of satellite remote sensing, combined with the local illumination data and meteorological data, a clear sky average hourly illumination model in Chongqing was established via the regression method. There was good agreement between the calculated and the measured values of clear day average hourly illuminance, with a root mean square difference and mean bias difference of 22% and -0.05%, respectively. The model was used to map clear day annual, quarterly, and monthly average hourly illuminance. The maps show the clear day annual, seasonal, and monthly variations of average hourly illuminance in Chongqing.
Highlights
The utilization of daylight for illuminating building interiors can bring about significant savings in terms of building electricity consumption [1]
According to the daylight climate conditions, some countries have divided the area into daylight climate zones and formulated corresponding daylight strategies
Daylight climate can be divided into three sky conditions, namely clear days, partly cloudy days, and overcast days
Summary
The utilization of daylight for illuminating building interiors can bring about significant savings in terms of building electricity consumption [1]. For this reason, daylight-integrated buildings and daylight equipment have been developed in many countries [2,3]. In China, daylight climate zones are divided into five categories [4]. Daylight consists of direct and diffuse sky light. Daylight climate can be divided into three sky conditions, namely clear days, partly cloudy days, and overcast days. The use of diffuse sky lights is preferable for illuminating building interiors under overcast conditions. Dynamic daylight performance metrics were proposed by Mardaljevic [5].
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