Energy saving potential and strategies for electric lighting in future North European, low energy office buildings: A literature review

This article presents key energy use figures and explores the energy saving potential for electric lighting in office buildings based on a review of relevant literature, with special emphasis on a North European context. The review reveals that theoretical calculations, measurements in full-scale rooms and simulations with validated lighting programs indicate that an energy intensity of around 10 kWh/m(2) yr is a realistic target for office electric lighting in future low energy office buildings. This target would yield a significant reduction in energy intensity of at least 50% compared to the actual average electricity use for lighting (21 kWh/m(2) yr in Sweden). Strategies for reducing energy use for electric lighting are presented and discussed, which include: improvements in lamp, ballast and luminaire technology, use of task/ambient lighting, improvement in maintenance and utilization factor, reduction of maintained illuminance levels and total switch-on time, use of manual dimming and switch-off occupancy sensors. Strategies based on daylight harvesting are also presented and the relevant design aspects such as effects of window characteristics, properties of shading devices, reflectance of inner surfaces, ceiling and partition height are discussed. (C) 2011 Elsevier B.V. All rights reserved. (Less)

[1]  Gregor P. Henze,et al.  Validating the application of occupancy sensor networks for lighting control , 2010 .

[2]  Anca D. Galasiu,et al.  Impact of window blinds on daylight-linked dimming and automatic on/off lighting controls , 2004 .

[3]  Eleanor S. Lee,et al.  Subject Responses to Electrochromic Windows , 2006 .

[4]  James A. Love Manual switching patterns in private offices , 1998 .

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

[7]  B. Tuck,et al.  Consistency and variation in preferences for office lighting , 1974 .

[8]  Mark S. Rea,et al.  Occupant Use of Manual Lighting Controls in Private Offices , 1999 .

[9]  Dj Carter,et al.  Good lighting with less energy: Where next? , 2009 .

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

[11]  M S. Rea,et al.  Window blind occlusion: a pilot study , 1984 .

[12]  Athanasios Tzempelikos,et al.  A methodology for simulation of daylight room illuminance distribution and light dimming for a room with a controlled shading device , 2002 .

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

[14]  Dj Carter,et al.  Long-term patterns of use of occupant controlled office lighting , 2003 .

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

[16]  Dl Loe Energy efficiency in lighting — considerations and possibilities , 2009 .

[17]  Roger G. Marchand,et al.  Detection and Acceptance of Demand-Responsive Lighting in Offices with and without Daylight , 2008 .

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

[19]  C. Balaras,et al.  Energy characteristics and savings potential in office buildings , 1994 .

[20]  Mbc Myriam Aries,et al.  Individual control of electric lighting in a daylit space , 2008 .

[21]  Steve Fotios,et al.  Stimulus range bias explains the outcome of preferred-illuminance adjustments , 2010 .

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

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

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

[25]  Gregor P. Henze,et al.  The performance of occupancy-based lighting control systems: A review , 2010 .

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

[27]  Rikard Küller Planning for good indoor lighting , 2004 .

[28]  Ann R. Webb,et al.  Considerations for lighting in the built environment: Non-visual effects of light , 2006 .

[29]  John S. Reynolds,et al.  Overall and zonal energy end use in an energy conscious office building , 1994 .

[30]  Karl Grau Sørensen,et al.  Effektiv belysning i kontor- og erhvervsbyggeri: En undersøgelse i ni kontorbygninger , 2005 .

[31]  Henri Juslén,et al.  Preferred task-lighting levels in an industrial work area without daylight , 2005 .

[32]  Wjm van Bommel,et al.  Lighting for work: a review of visual and biological effects , 2004 .

[33]  Jens Christoffersen,et al.  An experimental evaluation of daylight systems and lighting control , 1997 .

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

[35]  Jennifer A. Veitch,et al.  Preferred luminous conditions in open-plan offices: research and practice recommendations , 2000 .

[36]  Elena G. Dascalaki,et al.  Passive retrofitting of office buildings to improve their energy performance and indoor environment: the OFFICE project , 2002 .

[37]  P. Boyce Observations of the manual switching of lighting , 1980 .

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

[39]  Maria Loizidou,et al.  Symptoms experienced, environmental factors and energy consumption in office buildings , 1996 .

[40]  Anca D. Galasiu,et al.  Energy Saving Lighting Control Systems for Open-Plan Offices: A Field Study , 2007 .

[41]  Francis Rubinstein,et al.  Comparison of control options in private offices in an advanced lighting controls testbed , 1999 .

[42]  Thorbjörn Laike,et al.  The background luminance and colour temperatures influence on alertness and mental health. Pre-study. , 2006 .

[43]  A R Wilkes,et al.  Minimum and optimum light output of Macintosh size 3 laryngoscopy blades: a manikin study * , 2007, Anaesthesia.

[44]  J. Mardaljevic Examples of Climate-Based Daylight Modelling , 2006 .

[45]  Simon H. A. Begemann,et al.  Daylight, artificial light and people in an office environment, overview of visual and biological responses , 1997 .

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

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

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

[49]  P. Boyce,et al.  Age, illuminance, visual performance and preference , 1973 .