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

Wu, Yujie (EPFL, Lausanne, Switzerland) ; Kaempf, Jérôme (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Scartezzini, Jean-Louis (EPFL, Lausanne, Switzerland)

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.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
Energy - Institut de recherche appliquée en systèmes énergétiques
Date:
2017-09
Pagination:
6 p.
Published in:
Energy Procedia
Numeration (vol. no.):
2017, vol. 122, pp. 649-654
DOI:
ISSN:
18766102
Appears in Collection:



 Record created 2021-05-07, last modified 2021-05-28

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