Characterization of a quasi-real-time lighting computing system based on HDR imaging

In this paper we present the characterization of a calibrated embedded system for quasi real-time lighting computation based on HDR sky monitoring. To quantify its accuracy in lighting computation, we positioned the device in front of a test module with unilateral-façades to measure the luminance distribution of the sky and ground dome, including that of the sun, the clouds and landscape, followed by on-board illuminance computation in the device. An experiment was conducted on two representative days, with overcast and clear sky respectively. The embedded device computed the illuminance for 5 virtual sensors which was referred to the measurement by 5 lux-meters at the identical positions synchronously to assess its relative error. Compared with the Perez all-weather sky model, the embedded device was indicated to be more reliable and achieved 10%-25% higher accuracy in transient lighting computation of horizontal illuminance based on HDR imaging and luminance mapping.

Published in:
Energy Procedia - CISBAT 2017 International Conference Future Buildings & Districts - Energy Efficiency from Nano to Urban Scale, 649-654
Presented at:
CISBAT 2017 International Conference, Lausanne, Switzerland, 6-8 September 2017
Amsterdam, Elsevier

 Record created 2017-11-03, last modified 2020-07-29

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