Lighting energy savings in offices using different control systems and their real consumption

This paper compares the potential of lighting energy savings in office rooms by using different control systems, for three locations in Europe and the four main orientations. The method is based on DAYSIM simulations to perform daylight calculations, on laboratory measurement to evaluate precise system energy consumptions and on the implementation of a new algorithm to simulate a close-loop daylight dimming system. It appears that the control of the electrical power in function of daylight leads to very high savings; they slightly depend on the room orientation and the location. Savings vary from 45 to 61%. The performances of an occupancy sensor are also tested. Threshold values of occupancy rate for which daylight dimming leads to higher gains than an occupancy control system vary between 27 and 44% depending on location and orientation. The measurements of the energy consumption of the sensors and detectors also permit to conclude that systems with embedded DALI-compatible ballast controllers should be abandoned in favour of a centralized DALI-compatible ballast controller or embedded analogue systems.

[1]  Paul J. Littlefair,et al.  Predicting lighting energy use under daylight linked lighting controls , 1998 .

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

[3]  Mark S. Rea,et al.  High Performance Lighting Controls in Private Offices: A Field Study Of User Behavior And Preference , 1998 .

[4]  Konstantinos Papamichael,et al.  A method for simulating the performance of photosensor-based lighting controls , 2002 .

[5]  J. Olseth,et al.  The probability density and autocorrelation of short-term global and beam irradiance , 1992 .

[6]  An-Seop Choi,et al.  The characteristics of photosensors and electronic dimming ballasts in daylight responsive dimming systems , 2005 .

[7]  Christoph F. Reinhart,et al.  The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods , 2000 .

[8]  John Mardaljevic,et al.  Simulation of annual daylighting profiles for internal illuminance , 2000 .

[9]  J. Timmer,et al.  Dynamic annual daylight simulations based on one-hour and one-minute means of irradiance data , 2002 .

[10]  Danny H.W. Li,et al.  Evaluation of lighting performance in office buildings with daylighting controls , 2001 .

[11]  Seongju Chang,et al.  A HYBRID SYSTEM FOR DAYLIGHT-RESPONSIVE LIGHTING CONTROL , 2001 .

[12]  Danny H.W. Li,et al.  Lighting and energy performance for an office using high frequency dimming controls , 2006 .

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

[14]  Seongju Chang,et al.  Exploring Model-Based Reasoning in Lighting Systems Control , 2000 .

[15]  Allan Tweed,et al.  An Analysis of the Energy and Cost Savings Potential of Occupancy Sensors for Commercial Lighting Systems , 2001 .

[16]  D. Li,et al.  An analysis of measured and simulated daylight illuminance and lighting savings in a daylit corridor , 2005 .

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

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

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

[20]  Ian Paul Knight Measured energy savings due to photocell control of individual luminaires , 1998 .

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

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

[23]  Önder Güler,et al.  Determination of the energy saving by daylight responsive lighting control systems with an example from Istanbul , 2003 .

[24]  Joseph Andrew Clarke,et al.  Daylight performance: Daylight quality and control of energy consumption , 1999 .

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