A review on lighting control technologies in commercial buildings, their performance and affecting factors

US Department of Energy. Buildings Energy Data Book; 2011.

Li, 2010, An analysis of energy-efficient light fittings and lighting controls, Appl Energy, 87, 558, 10.1016/j.apenergy.2009.07.002

Martirano L. A smart lighting control to save energy. In: Proceedings of the 6th international conference on intelligent data acquisition and advanced computing systems; 2011. p. 132–138.

Pandharipande, 2011, Daylight integrated illumination control of LED systems based on enhanced presence sensing, Energy Build, 43, 944, 10.1016/j.enbuild.2010.12.018

Abolarin, 2013, A collective approach to reducing carbon dioxide emission: A case study of four University of Lagos Halls of residence, Energy Build, 61, 318, 10.1016/j.enbuild.2013.02.041

Altan, 2010, Energy efficiency interventions in UK higher education institutions, Energy Policy, 38, 7722, 10.1016/j.enpol.2010.08.024

European Commission. Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings. Off J Eur Communities; 2002. 4:L1.

Electrical and Mechanical Services Department – Hong Kong Special Administrative Region. Code of practice for energy efficiency of lighting installations; 1998.

Williams, 2012, Lighting controls in commercial buildings, LEUKOS – J Illum Eng Soc N Am, 8, 161

Yun, 2012, Effects of occupancy and lighting use patterns on lighting energy consumption, Energy Build, 46, 152, 10.1016/j.enbuild.2011.10.034

Hanselaer, 2007, Power density targets for efficient lighting of interior task areas, Light Res Technol, 39, 171, 10.1177/1365782807076737

Iii, 2010, Occupancy diversity factors for common university building types, Energy Build, 42, 1543, 10.1016/j.enbuild.2010.03.025

Zografakis, 2012, Implementation conditions for energy saving technologies and practices in office buildings: part 1 lighting, Renew Sustain Energy Rev, 16, 4165, 10.1016/j.rser.2012.03.005

DiLouie, 2006, Lighting controls: current use, major trends, and future directions, Adv Light Control, 81

Parise G, Martirano L. Impact of building automation, controls and building management on energy performance of lighting systems. In:Industrial & commercial power systems technical conference; 2009, p. 5–9.

US Congress. H.R. 6 of the 109th congress: energy Policy act of 2005; 2005.

Skalko, 2004, Energy-efficient design of low-rise residential buildings, Ashrae Stand, 8400

Guo, 2010, The performance of occupancy-based lighting control systems: a review, Light Res Technol, 42, 415, 10.1177/1477153510376225

Delaney DT, O׳Hare GMP, Ruzzelli AG. Evaluation of energy-efficiency in lighting systems using sensor networks. In: Proceedings of the first ACM workshop on embedded sensing systems for energy-efficiency in building – BuildSys ׳09;2009. p. 61.

Roisin, 2008, Lighting energy savings in offices using different control systems and their real consumption, Energy Build, 40, 514, 10.1016/j.enbuild.2007.04.006

Serra, 1998, Chapter 6—Daylighting, Renew Sustain Energy Rev, 2, 115, 10.1016/S1364-0321(98)00014-8

Benya, 2001

Stolshek, 1984, Ultrasonic technology provides for control of lighting, IEEE Trans Ind Appl, IA-20, 1564, 10.1109/TIA.1984.4504642

Magori, 1987, Ultrasonic presence sensors with wide range and high local resolution, IEEE Trans Ultrason Ferroelectr Freq Control, UFFC-34, 202, 10.1109/T-UFFC.1987.26933

Manzoor F, Linton D, Loughlin M. Occupancy monitoring using passive RFID technology for efficient building lighting control. In: 2012 Fourth international EURASIP workshop on RFID technology. IEEE; 2012, p. 83–8.

Zhen Z, Jia Q, Song C, Guan X. An indoor localization algorithm for lighting control using rfid. In: 2008 IEEE energy 2030 conference. IEEE; 2008, p. 1–6.

Liu D, Du Y, Zhao Q, Guan X. Vision-based indoor occupants detection system for intelligent buildings. In: 2012 Proceedings of IEEE international conference on imaging systems and techniques; 2012. p. 273–8.

Benezeth, 2011, Towards a sensor for detecting human presence and characterizing activity, Energy Build, 43, 305, 10.1016/j.enbuild.2010.09.014

Newsham, 2009, A camera as a sensor for lighting and shading control, Light Res Technol, 41, 143, 10.1177/1477153508099889

Sarkar, 2008, Integrated daylight harvesting and occupancy detection using digital imaging, Proc SPIE – Int Soc Opt Eng, 6816

Richman, 1995, Field analysis of occupancy sensor operation – parameters affecting lighting energy savings, J Illum Eng Soc, 25, 83, 10.1080/00994480.1996.10748136

Floyd, 2002, Measured field performance and energy savings of occupancy sensors: three case studies, Florida Sol Energy Cent, 97

VonNeida, 2001, An analysis of the energy and cost savings potential of occupancy sensors for commercial lighting systems, J Illum Eng Soc, 30, 111, 10.1080/00994480.2001.10748357

Jennings, 2000, Comparison of control options in private offices in an advanced lighting controls testbed, J Illum Eng Soc, 29, 39, 10.1080/00994480.2000.10748316

Galasiu, 2007, Energy saving lighting control systems for open-plan offices: a field study, LEUKOS – J Illum Eng Soc N Am, 4, 7

Hughes RF, Eng P, Dhannu SS. Substantial energy savings through adaptive lighting. In: 2008 IEEE electrical power and energy conference, 2008, 1–4.

Maniccia, 1999, Occupant use of manual lighting controls in private offices, J Illum Eng Soc, 28, 48, 10.1080/00994480.1999.10748274

Garg, 2000, Smart occupancy sensors to reduce energy consumption, Energy Build, 32, 81, 10.1016/S0378-7788(99)00040-7

Leephakpreeda, 2005, Adaptive occupancy-based lighting control via grey prediction, Build Environ, 40, 881, 10.1016/j.buildenv.2004.08.026

Zhao, 2012, A review on the prediction of building energy consumption, Renew Sustain Energy Rev, 16, 3586, 10.1016/j.rser.2012.02.049

Li, 2001, Evaluation of lighting performance in office buildings with daylighting controls, Energy Build, 33, 793, 10.1016/S0378-7788(01)00067-6

Dounis, 2009, Advanced control systems engineering for energy and comfort management in a building environment—a review, Renew Sustain Energy Rev, 13, 1246, 10.1016/j.rser.2008.09.015

Heschong, 2002, Daylighting impacts on human performance in school, J Illum Eng Soc, 101, 10.1080/00994480.2002.10748396

Kru¨ger, 2011, Evaluating daylighting potential and energy efficiency in a classroom building, J Renew Sustain Energy, 3, 063112, 10.1063/1.3670407

Patel, 2012, Sustainable campus of Claris lifesciences through green initiatives, Renew Sustain Energy Rev, 16, 4901, 10.1016/j.rser.2012.03.062

Newsham, 2008, Individual control of electric lighting in a daylit space, Light Res Technol, 40, 25, 10.1177/1477153507081560

Winterbottom, 2009, Lighting and discomfort in the classroom, J Environ Psychol, 29, 63, 10.1016/j.jenvp.2008.11.007

Alrubaih, 2013, Research and development on aspects of daylighting fundamentals, Renew Sustain Energy Rev, 21, 494, 10.1016/j.rser.2012.12.057

Matta S, Mahmud S. An intelligent light control system for power saving. In: IECON 2010 36th annual conference of the IEEE industrial electronics society; 2010. p. 3316–21.

Arnal E, Anthierens C, Bideaux E. Consideration of glare from daylight in the control of the luminous atmosphere in buildings. In: 2011 IEEE/ASME international conference on advanced intelligent mechatronics; 2011. p. 1070–5.

Omer, 2008, Renewable building energy systems and passive human comfort solutions, Renew Sustain Energy Rev, 12, 1562, 10.1016/j.rser.2006.07.010

Ghisi, 2005, An Ideal window area concept for energy efficient integration of daylight and artificial light in buildings, Build Environ, 40, 51, 10.1016/j.buildenv.2004.04.004

Parise G, Martirano L. Combined electric light and daylight systems ecodesign. In: Industry applications society annual meeting; 2011.

Parise G, Martirano L. Daylight impact on energy performance of internal lighting. In: Industry applications society annual meeting; 2011.

Fischer M, Wu K, Agathoklis P. Intelligent illumination model-based lighting control. In: 32nd international conference on distributed computing systems; 2012. p. 245–9.

Görgülü, 2013, Energy saving in lighting system with fuzzy logic controller which uses light-pipe and dimmable ballast, Energy Build, 61, 172, 10.1016/j.enbuild.2013.02.037

Guillemin, 2001, An innovative lighting controller integrated in a self-adaptive building control system, Energy Build, 33, 477, 10.1016/S0378-7788(00)00100-6

Chung, 2001, Office lighting retrofit using dimmable electronic ballasts and occupancy controls, HKIE Trans, 8, 8, 10.1080/1023697X.2001.10667852

Rubinstein, 1984, The measured energy savings from two lighting control strategies, IEEE Trans Ind Appl, IA-20

Onaygıl, 2003, Determination of the energy saving by daylight responsive lighting control systems with an example from Istanbul, Build Environ, 38, 973, 10.1016/S0360-1323(03)00034-9

Atif, 2003, Energy performance of daylight-linked automatic lighting control systems in large atrium spaces: report on two field-monitored case studies, Energy Build, 35

Li, 2005, An analysis of measured and simulated daylight illuminance and lighting savings in a daylit corridor, Build Environ, 40, 973, 10.1016/j.buildenv.2004.09.007

Krarti, 2005, A simplified method to estimate energy savings of artificial lighting use from daylighting, Build Environ, 40, 747, 10.1016/j.buildenv.2004.08.007

Ihm, 2009, Estimation of lighting energy savings from daylighting, Build Environ, 44, 509, 10.1016/j.buildenv.2008.04.016

Bourgeois, 2006, Adding advanced behavioural models in whole building energy simulation: a study on the total energy impact of manual and automated lighting control, Energy Build, 38, 814, 10.1016/j.enbuild.2006.03.002

Lindsey JL. Applied illumination engineering, 2nd edition; 1997.

Pacheco, 2012, Energy efficient design of building: a review, Renew Sustain Energy Rev, 16, 3559, 10.1016/j.rser.2012.03.045

Tetri, 2002, Daylight linked dimming: effect on fluorescent lamp performance, Light Res Technol, 34, 3, 10.1191/1365782802li020oa

DiLouie C. Daylight harvesting. In: Light control handbook; 2008. p. 161–204.

National Electrical Manufacturers Association, Lighting Controls Council. Introduction to lighting control. Advanced light control; 2006. p. 3–39.

Rubinstein, 1993, Fifty percent energy savings with automatic lighting controls, IEEE Trans Ind Appl, 29, 768, 10.1109/28.231992

Martirano L. Lighting systems to save energy in educational classrooms. In: 10th International conference on environment and electrical engineering. IEEE; 2011.

Wen, 2011, Personalized dynamic design of networked lighting for energy-efficiency in open-plan offices, Energy Build, 43, 1919, 10.1016/j.enbuild.2011.03.036

Wen Y-J, Agogino AM. Wireless networked lighting systems for optimizing energy savings and user satisfaction. In: 2008 IEEE wireless hive networking conference, IEEE; 2008, p. 1–7.

Tiller, 2010, Validating the application of occupancy sensor networks for lighting control, Light Res Technol, 42, 399, 10.1177/1477153510375524

Mukherjee, 2010, Closed loop integrated lighting and daylighting control for low energy buildings, ACEEE Summer Study Energy Effic Build, 252

KNX Association. KNX Association (Official website). Available from: 〈http://www.knx.org/knx-standard/introduction/〉.

Zavalani O. Reducing energy in buildings by using energy management systems and alternative energy-saving systems. In: 2011 8th international conference on Europe׳s energy mark; 2011. p. 370–5.

Dong, 2010, An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network, Energy Build, 42, 1038, 10.1016/j.enbuild.2010.01.016