Ambiguities regarding the relationship between office lighting and subjective alertness

Authors Juliëtte van Duijnhoven, Mariëlle Aarts, Helianthe Kort, Alexander Rosemann
Published in Building and Environment
Publication date 2018
Research groups Technology for Healthcare Innovations
Type Article

Summary

Health symptoms may be influenced, supported, or even controlled via a lighting control system which includes personal lighting conditions and personal factors (health characteristics). In order to be effective, this lighting control system requires both continuous information on the lighting and health conditions at the individual level. A new practical method to determine these continuous personal lighting conditions has been developed: location-bound estimations (LBE). This method was validated in the field in two case studies; comparisons were made between the LBE and location-bound measurements (LBM) in case study 1 and between the LBE and person-bound measurements (PBM) in case study 2. Overall, the relative deviation between the LBE and LBM was less than 15%, whereas the relative deviation between the LBE and PBM was 32.9% in the best-case situation. The relative deviation depends on inaccuracies in both methods (i.e., LBE and PBM) and needs further research. Adding more input parameters to the predictive model (LBE) will improve the accuracy of the LBE. The proposed first approach of the LBE is not without limitations; however, it is expected that this practical method will be a pragmatic approach of inserting personal lighting conditions into lighting control systems.

On this publication contributed

  • Helianthe Kort | Professor | Research group Technology for Healthcare Innovations
    Helianthe Kort
    • Professor
    • Research group: Technology for Healthcare Innovations

Language English
Published in Building and Environment
Key words office lighting, methodology, measurements, case study, validations, health
Digital Object Identifier 10.1016/j.buildenv.2018.02.033
Page range 74-86

Technology for Healthcare Innovations