Statistical Evaluation of Dimmable Interior Lighting System Consumption Using Daylight

  • Tomáš NovákEmail author
  • Petr Bos
  • Jan Šumpich
  • Karel Sokanský
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 423)


From the power engineers point of view, at the present time, the necessity to predict the consumption of lighting systems becomes more and more urgent at the time of the project phase. The reason is to compare the projects from different investors and especially to compare the projects with regulated (dimmed) lighting systems (these are regulated at a constant level of illumination) with the projects of unregulated lighting. In that case, the designer has to be able to determine the payback of regulated lighting system in comparison with classic unregulated lighting systems. Nowadays, it is possible to calculate the potential savings. The calculating is determined by the LENI (Lighting Energy Numeric Indicator), according to EN 15193, which is based upon the analytical estimate of potential savings calculated on the base of empirically derived coefficients for standardized rooms, standardized operations, etc. However, this model is not based on real specific situations. Therefore, the team of VSB-TU Ostrava developed a predictive model, which is based on the daylight dynamics in specific lighting conditions. The long-term measurements were carried out to verify whether the model´s results correspond to the real facts. The statistical evaluation of the model´s conclusions and the real measured rates was carried out as well.


Predictive model Regulated lighting systems Constant level of illumination Daylight Energy savings 



This article was prepared with the support of the project “Transmission of control signals in lighting systems” SP2015/182, by institution of VSB-TU Ostrava.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Tomáš Novák
    • 1
    Email author
  • Petr Bos
    • 1
  • Jan Šumpich
    • 1
  • Karel Sokanský
    • 1
  1. 1.Faculty of Electrical Engineering and Computer ScienceVŠB—Technical University of OstravaOstravaCzech Republic

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