Measuring Visual and Non-Visual Lighting Metrics in Building Environments with RGB Sensors

19 Pages Posted: 1 Jun 2023

See all articles by Khanh Quoc Tran

Khanh Quoc Tran

Technical University Darmstadt

Vinh Quang Trinh

Technical University Darmstadt

Nguyen Thai Duong

Technical University Darmstadt

Stefan Klir

Technical University Darmstadt

Babak Zandi

Technical University Darmstadt

Alexander Herzog

Technical University Darmstadt

Abstract

Today, a spectroradiometer can measure both visual lighting metrics (illuminance, chromaticity coordinates or color temperature) and non-visual lighting metrics (Circadian Stimulus Model (CS2021) by M. Rea et al., Melanopic Equivalent Daylight (D65) Illuminance (mEDI) in CIE S 026/E: 2018) very well. Unfortunately, their cost and size make them unsuitable for practical measurements after installation. And some commercially available miniature RGB sensors can measure some visual parameters, but the question is whether they can accurately determine both visual and non-visual characteristics for practical evaluation or real-time luminaire control. Therefore, in this work, the mixed light between incident daylight and typical LED (500 lx horizontal illuminance, 4000 K) in a typical office was measured using the CSS45 spectrometer and the AS 73211 RGB sensor. Then 410/516 spectra were used to process the RGB sensor. And the remaining 20% were used to verify the obtained correlations. The correlation coefficient R2 of 0.892 and the RMSE value of 15.436 lx for the relationship between the mEDI values of the RGB sensor and the spectrophotometer and their average color difference Δu'v' of 3.78.10-5 were very good evidence for the processing. For verification, the correlation quality parameter pair (R2/RMSE) of CS2021 and Ev also reach the very good values of 0.842/0.015 and 0.78/29.15, respectively. Based on these achievements, it can be confirmed that a commercially available RGB sensor can measure the visual and non-visual parameters of lighting systems accurately enough after installation if it is properly processed as recommended in this work.

Keywords: Melanopic equivalent daylight (D65) illuminance, mEDI, Circadian Stimulus, CS2021, mEDI measurement by RGB sensors, CS2021 measurement by RGB sensors

Suggested Citation

Tran, Khanh Quoc and Trinh, Vinh Quang and Duong, Nguyen Thai and Klir, Stefan and Zandi, Babak and Herzog, Alexander, Measuring Visual and Non-Visual Lighting Metrics in Building Environments with RGB Sensors. Available at SSRN: https://ssrn.com/abstract=4459794 or http://dx.doi.org/10.2139/ssrn.4459794

Khanh Quoc Tran

Technical University Darmstadt ( email )

Vinh Quang Trinh (Contact Author)

Technical University Darmstadt ( email )

Nguyen Thai Duong

Technical University Darmstadt ( email )

Stefan Klir

Technical University Darmstadt ( email )

Babak Zandi

Technical University Darmstadt ( email )

Alexander Herzog

Technical University Darmstadt ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
66
Abstract Views
248
Rank
709,964
PlumX Metrics