Daylight simulation algorithm and application based on atmospheric radiation theory

This study establishes an equation that defines the relationship of color temperature and illuminance of solar radiation at various times of the day under clear sky conditions within a specified area based on the use of the theory of atmospheric radiation and the principle of multicolor light-emitti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Optics and laser technology Jg. 190; S. 113247
Hauptverfasser: Lin, Youqin, Zhang, Yuhao, Ji, Xiaokun, Chen, Hao, Liu, Xuehui, Lin, Qiqiang, Chen, Xiaobo, Yang, Yufu, Liu, Zongyuan, Chen, Zhong, Wu, Tingzhu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2025
Schlagworte:
Atmospheric radiation theory
Daylight simulation
Healthy lighting
Mixing optimization algorithm
Atmospheric radiation theory
Daylight simulation
Healthy lighting
Mixing optimization algorithm
ISSN:0030-3992
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This study establishes an equation that defines the relationship of color temperature and illuminance of solar radiation at various times of the day under clear sky conditions within a specified area based on the use of the theory of atmospheric radiation and the principle of multicolor light-emitting diode (LED) mixing. Accordingly, we derived daylight color temperature and illuminance curves for the entire day. Based on the results of the conducted experiment, this relationship could be simulated under clear-sky conditions in different regions with different periods of daylight color temperature and illuminance change rules. To optimize color matching at different time points, we propose a multiplexed color-matching algorithm based on pulse-width modulation dimming to obtain the optimal color-matching schemes corresponding to different time points using six LED colors—red, green, blue, azure, warm white, and cool white—with sunlight fitting coefficients as optimization values under specific color temperature conditions. The optimized goodness-of-fit coefficient of the proposed optical power ratio algorithm and color rendering index exceeded 97% and 95%, respectively. We validated the accuracy of our daylight simulation optimization strategy by adjusting the duty cycle of the six-color LEDs according to the illuminance curve relationship. The spectral output of the target region under clear weather conditions was simulated based on the position and time parameters. This dynamic simulation capability extends to scenarios with poor lighting conditions, such as cloudy or rainy days, making it applicable to indoor lighting simulations.
ISSN:0030-3992
DOI:10.1016/j.optlastec.2025.113247