To asses the daylighting performance of each fenestration model, the ratios of the Ei to the outdoor illuminance at the shaded area (Eo) are recorded on the 4 selected day of the monitoring of a building equipped with UC, CE, ADS and ASS+ (Fig. 17). It can be observed in Fig. 18 that the ASS+ can reach high daylighting performance as well as the ADS, although both have different profiles. In the ASS+, the highest Ei/Eo is achieved at 10:30. At noon, however, the Ei/Eo of the building equipped with ASS+ decreases (below 2%), although …show more content…
15) explains why the DAs of the ASS+ from simulation results are estimated higher than those of the ADS. It should be noted that the measured Eo during the ASS+ installation tends to be lower than the Eo of the building equipped with the ADS and CL. Despite the practicality and more accurate fashion of the DA in describing the annual daylighting performance, hourly daylighting simulations, hence, are still recommended for examining the most optimum position and size of cavities of the collector body in terms of energy …show more content…
The wind speed measured during the ADS installation were likely to be lower than the wind speed measured during the installation of the others with less than 0.7 m/s for the mean each 30-minute air velocity deviation. However, only slight differences in measured To and RHo can be observed in Fig. 19. The mean air temperature and relative humidity deviations for every 30 minutes are less than 1.4oC and 7.2% respectively. Because the instantaneous To expresses the effect of solar radiation, wind conditions, and other climate elements for a certain period, while the instantaneous solar radiation can fluctuate every second, depending on the sky conditions, the monitoring data were selected based on the similarity of the To more than the similarity of the solar