Daylight utilisation in perimeter office rooms at high latitudes: Investigation by computer simulation

A simulation study of daylight autonomy in perimeter office rooms at high latitudes is presented where the following variables are studied: Glazing-to-wall ratios (GWR), climate, orientation, inner surface reflectance, glazing visual transmittance, Venetian blind management and electric lighting dimming and switching systems. Based on daylight utilisation alone, the results indicate an optimal GWR ranging between 20% and 40%, with a North orientation requiring a larger GWR (40%), a South orientation a smaller GWR (20%) and an East/West orientation an intermediate GWR (30%). The reflectance of inner surfaces has a significant effect on daylight autonomy and the use of low transmittance glazing demands a larger GWR (60%) to achieve the same daylight autonomy as 20% GWR with high transmittance glazing. Also, the results indicate that the choice of electric lighting dimming and switching systems has a more significant impact on electricity use than the GWR, orientation and the other variables examined.

[1]  Magali Bodart,et al.  Global energy savings in offices buildings by the use of daylighting , 2002 .

[2]  Lisa Heschong,et al.  Daylight metrics and energy savings , 2009 .

[3]  P. Tregenza,et al.  Daylight coefficients , 1983 .

[4]  Harris Poirazis,et al.  Single Skin Glazed Office Buildings - Energy Use and Indoor Climate Simulations , 2005 .

[5]  Anca D. Galasiu,et al.  Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .

[6]  A. Athienitis,et al.  The impact of shading design and control on building cooling and lighting demand , 2007 .

[7]  C. Reinhart,et al.  A SIMULATION-BASED REVIEW OF THE UBIQUITOUS WINDOW-HEAD-HEIGHT TO DAYLIT ZONE DEPTH RULE-OF-THUMB , 2005 .

[8]  Christoph F. Reinhart,et al.  Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds , 2001 .

[9]  Åke Blomsterberg,et al.  Energy saving potential and strategies for electric lighting in future North European, low energy office buildings: A literature review , 2011 .

[10]  Christoph F. Reinhart,et al.  THE LIGHTSWITCH WIZARD - RELIABLE DAYLIGHT SIMULATIONS FOR INITIAL DESIGN INVESTIGATION , 2003 .

[11]  Christoph F. Reinhart,et al.  Standard daylight coefficient model for dynamic daylighting simulations , 2008 .

[12]  Kjeld Johnsen,et al.  Vinduer og dagslys - en feltundersøgelse i kontorbygninger , 1999 .

[13]  Moncef Krarti,et al.  A simplified method to estimate energy savings of artificial lighting use from daylighting , 2005 .

[14]  John Mardaljevic,et al.  Dynamic Daylight Performance Metrics for Sustainable Building Design , 2006 .

[15]  T. Kusuda,et al.  Daylighting with windows, skylights, and clerestories , 1984 .

[16]  André De Herde,et al.  Design of low energy office buildings , 2003 .

[17]  Stephen Selkowitz,et al.  Thermal and daylighting performance of an automated venetian blind and lighting system in a full-scale private office , 1998 .

[18]  offices Reinhart.  Effects of Interior Design on the Daylight Availability in Open Plan Offices , 2002 .

[19]  J. Michalsky,et al.  All-weather model for sky luminance distribution—Preliminary configuration and validation , 1993 .

[20]  Maria Wall,et al.  Energy Simulations for Glazed Office Buildings in Sweden , 2008 .

[21]  Geert Deconinck,et al.  Power density targets for efficient lighting of interior task areas , 2007 .