Influence of shading control patterns on the energy assessment of office spaces

Abstract This work reviews existing models of control patterns for occupant–shading interactions in office buildings, and studies their influence in terms of energy demand when comparing transparent facade alternatives. It starts by establishing a review of visual comfort criteria in office buildings and of the conditions that prompt occupants to interact with shading devices and electric lighting. Given the large variety of parameters identified as primary variables in the existing literature – hence the variety of conditions considered comfortable depending on the chosen reference – a sensitivity study was carried out based on dynamic simulations. The aim of the study was to characterize the impact of choosing a given shading control model (pattern or strategy) on the calculated overall energy demand for heating, cooling and lighting, as well as the impact on choosing the best-performing transparent facade option for a single-occupant office. The results show that both the calculated energy performance and the ranking of transparent facade alternatives (glazing and shading) often vary very significantly with control patterns considered for the occupant-shading interaction. They further show that, amongst the eleven control strategies that were considered, the behavioral model based on a glare acceptability threshold (expressed as DGI > 20) is the one that, when considered individually, would most reliably express an average ranking from all considered strategies. The implications of these findings are discussed in view of their applicability to energy performance-based facade design choices evaluation as well as to facade design choices.

[1]  James A. Love The evolution of performance indicators for the evaluation of daylighting systems , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[2]  M. Velds,et al.  Assessment of lighting quality in office rooms with daylighting systems , 2000 .

[3]  S Escuyer,et al.  Lighting controls: a field study of office workers’ reactions , 2001 .

[4]  Vorpat Inkarojrit,et al.  Balancing comfort: occupants' control of window blinds in private offices , 2005 .

[5]  Maria Kolokotroni,et al.  Prediction of discomfort glare from windows , 2003 .

[6]  Peter Boyce,et al.  Occupant use of switching and dimming controls in offices , 2006 .

[7]  Stephen Selkowitz,et al.  Daylighting simulation in the DOE-2 building energy analysis program , 1985 .

[8]  G. R. Newsham Manual Control of Window Blinds and Electric Lighting: Implications for Comfort and Energy Consumption , 1994 .

[9]  Jan Wienold,et al.  Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras , 2006 .

[10]  D.R.G. Hunt,et al.  The use of artificial lighting in relation to daylight levels and occupancy , 1979 .

[11]  Peter Boyce,et al.  Individual Lighting Control: Task Performance, Mood, and Illuminance , 2000 .

[12]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[13]  T. Inoue,et al.  The development of an optimal control system for window shading devices based on investigations in office buildings , 1988 .

[14]  Laura Bellia,et al.  Daylight glare: a review of discomfort indexes , 2008 .

[15]  Christoph F. Reinhart,et al.  Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control , 2006 .

[16]  Kjeld Johnsen,et al.  The effect of coated glazing on visual perception: A pilot study using scaleamodels , 2007 .

[17]  Ali A. Nazzal,et al.  A new evaluation method for daylight discomfort glare , 2005 .

[18]  P. R. Tregenza,et al.  View and discomfort glare from windows , 2007 .

[19]  A. Fiksel,et al.  Developments to the TRNSYS simulation program , 1995 .

[20]  C. Cuttle,et al.  Lighting by Design , 2003 .

[21]  Ali A Nazzal A new daylight glare evaluation method introduction of the monitoring protocol and calculation method , 2001 .

[22]  Tadj Oreszczyn,et al.  Occupant control of passive systems: the use of Venetian blinds , 2001 .

[23]  R. G. Hopkinson,et al.  Glare from daylighting in buildings. , 1972, Applied ergonomics.

[24]  Dj Carter,et al.  User attitudes toward occupant controlled office lighting , 2002 .

[25]  J. Veitch,et al.  A Room with a View: A Review of the Effects of Windows on Work and Well-Being , 2004 .

[26]  Werner Osterhaus,et al.  Discomfort glare assessment and prevention for daylight applications in office environments , 2005 .

[27]  L. Roche,et al.  Occupant reactions to daylight in offices , 2000 .

[28]  Jennifer A. Veitch,et al.  Determinants of Lighting Quality II: Research and Recommendations. , 1996 .

[29]  Christoph F. Reinhart,et al.  Monitoring manual control of electric lighting and blinds , 2003 .

[30]  D. R. G. Hunt,et al.  Lighting controls: Their current use and possible improvement , 1978 .

[31]  Stephen Selkowitz,et al.  The design and evaluation of integrated envelope and lighting control strategies for commercial buildings , 1995 .

[32]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[33]  Marie-Claude Dubois,et al.  Shading devices and daylight quality: an evaluation based on simple performance indicators , 2003 .

[34]  Darren Robinson,et al.  A comprehensive stochastic model of blind usage: Theory and validation , 2009 .

[35]  Marc Fontoynont,et al.  The use of shading systems in VDU task offices: A pilot study , 2006 .

[36]  L Roche Summertime performance of an automated lighting and blinds control system , 2002 .

[37]  Guy R. Newsham,et al.  Lighting quality recommendations for VDT offices: a new method of derivation , 2001 .

[38]  S. K. Guth,et al.  Brightnesses in visual field at borderline between comfort and discomfort. , 1949, Illuminating engineering.