Evaluation of daylight performance in scale models and a full-scale mock-up office

Dilay Kesten, Sebastian Fiedler, Felix Thumm, Andreas Löffler and Ursula Eicker

International Journal of Low-Carbon Technologies, 2010, vol. 5, issue 3, 158-165

Abstract: The best way to improve daylight performance is to take a closer look on the behaviour of lighting the interior of sample building spaces. Scale models are commonly used to assess daylighting performance of buildings using an artificial sky for purpose of research and teaching as well as practice. In this paper the daylight assessment performance of the artificial sky at the Stuttgart University of Applied Sciences, Department of Architecture is evaluated. A method was developed, which allows analysing the main sources of errors by progressive stages. To analyse the main sources of error, comparisons were undertaken between the full-scale mock-up office, physical scale models and computer simulation models. The field measurements were performed in a South--South-East faced full-scale mock-up office. The four photosensors were placed on the middle axis of test office and scale models and the illuminance was measured from these points. The luminance distribution of the sky and the sun at the time of every single measurement was recorded with a luminance camera and fisheye lens. The computer simulation model was created in the Radiance program and used especially to archive sensitivity analyses of modelling errors. This study is an attempt to identify the main sources of experimental errors occurring in the assessment of building daylighting performance by means of scale models. It is aiming to find a correlation between luminance distribution of the sky and outside direct illuminance and internal illuminance levels and describes a strategy for energy efficient lighting design. Copyright The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Date: 2010
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