Validation of multispectral simulation tools for predicting non-visual lighting metrics across diverse daylight scenarios

This study focuses on the validation of multispectral simulation tools for predicting non-visual lighting metrics in a controlled test chamber environment with diverse lighting scenarios, which is crucial for designing healthier and more productive indoor spaces. Accurate prediction of non-visual lighting effects, such as circadian rhythm regulation is essential for creating optimal indoor environments. The research utilizes advanced simulation tools, specifically ALFA and Lark, to evaluate their performance under various window sizes and interior wall colors in daylight conditions.

A physical model was constructed using a 1 m × 1 m × 1 m multiblock wooden material, with interchangeable plywood interiors in black, white, yellow, and blue. Daylight scenarios were simulated by altering window-to-wall ratios (WWR) (10%, 20%, and 30%). Simulation outputs were compared with empirical measurements from spectroradiometers. The main metrics evaluated mel-EDI to determine the accuracy of the simulation tools. Results show that ALFA is more accurate in every scenario with varied WWR, and interior color. This study emphasizes selecting appropriate simulation tools based on daylight context and offers recommendations for practical applications.