Experimental evaluation of the impacts of considering inherent response characteristics for lighting technologies in building energy modeling

Abstract Lighting has become a leading necessity for sustaining the life quality of humankind since the first produced lighting equipments. Even the available softwares for modeling the performance and energy related characteristics of the light sources provide a significant insight for the best and programmed utilization of lighting systems; there are some drawbacks of these commonly utilized softwares. These software tools generally consider the energy performance of light sources directly proportional to dimming without employing a detailed energy profile for different light sources even each different source has a specific characteristics to dimming levels. This assumption may provide significant discrepancies if the energy modeling softwares and real time operating results are compared and accordingly may reduce the performance of the energy modeling software. Thus, response characteristics of two of the mostly utilized light sources – fluorescent and LED technologies – are experimentally examined in terms of response characteristics to different dimming levels. Besides, a sample office lighting system is analyzed in order to better present the discrepancies between experimentally derived response characteristics of the mentioned light sources and energy modeling software based results. It is shown that considering the inherent response characteristics of each light source technology promotes the performance of a modeling approach compared to assuming common response characteristics for every light source technologies.

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

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

[3]  YAW de Kort,et al.  Effects of dynamic lighting on office workers: First results of a field study with monthly alternating settings , 2010 .

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

[5]  E. Tetri Daylight linked dimming: effect on fluorescent lamp performance , 2002 .

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

[7]  M. M. Aman,et al.  Analysis of the performance of domestic lighting lamps , 2013 .

[8]  Tarmo Koppel Dynamic Lighting System for Workplaces at Northern Latitudes , 2012 .

[9]  L. Izsó,et al.  Effects of dynamic lighting on the visual performance of older adults , 2009 .

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

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

[12]  PJC Sleegers,et al.  Lighting affects students’ concentration positively: Findings from three Dutch studies , 2013 .

[13]  Magali Bodart,et al.  Lighting energy savings in offices using different control systems and their real consumption , 2008 .

[14]  P Raynham,et al.  Light and lighting - Measurement and presentation of photometric data of lamps and luminaries - Part 1: Measurement and file format , 2004 .