Summary
This paper presents a practical method for estimating mEDI using low-cost RGB sensors combined with a validated mDER computational model, enabling affordable integration of non-visual lighting metrics into smart building systems. The approach achieves ±3.3% uncertainty compared to direct spectral measurement, making real-time circadian lighting control feasible without expensive spectroradiometers.
Key Findings
- mDER computational model achieved a high correlation coefficient R² of 0.96795 across 4214 spectral power distributions from daylight, conventional, LED, and mixed light sources.
- 97% confidence offset of the mDER model was 0.0067802, indicating high reliability.
- mEDI estimated via RGB sensor + matrix transformation + mDER model reached ±3.3% uncertainty compared to direct spectral calculation.
- Model validated across diverse light source types including daylight, conventional, LED, and mixed sources, supporting broad applicability in intelligent lighting systems.
Categories
The Science of Light: Develops a computational model for melanopic equivalent daylight illuminance (mEDI) and melanopic daylight efficacy ratio (mDER) based on CIE S 026/E:2018 standards, with validation across 4214 spectral power distributions.
Author(s)
VQ Trinh, P Bodrogi, TQ Khanh
Publication Year
2023
Number of Citations
1
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