Classroom Lighting Control Systems and Level of Energy Consumption, Tehran, Iran
محورهای موضوعی : Urban DesignFahimeh Motazedian 1 , Mohammadjavad Mahdavinejad 2 , Farah Habib 3 , Darab Diba 4
1 - Ph.D. Candidate of Architecture, Department of Art and Architecture, Science and Research Branch, Islamic Azad
University, Tehran, Iran
2 - Associate Professor, Department of Art and Architecture, Tarbiat Modares University, Tehran, Iran.
3 - Professor, Department of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - Professor, Department of Art and Architecture, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
کلید واژه: Lighting Control System, energy saving, Sensor, Dimmer, Honeybee,
چکیده مقاله :
Buildings play an important role in the energy demand sector. Due to the increase of environmentalconcerns and renewable energy sources restriction, lighting control systems will play an important role in the reductionof energy consumption of the lighting without impeding comfort goals. Lighting control systems can control lightingconsumption according to the type of building, adequate luminance, occupation time, scheduled time etc. Better lightingnot only can reduce the energy consumption of a room, it can improve the quality of work from its occupants. Themain aim of the project is to determine the energy saved by using different artificial lighting control systems and findthe best one. Honeybee plug-in for grasshopper in a space as a classroom simulated six different systems in this articleand electricity, cooling and heating energy consumption for these systems were compared. Results show that “Autodimming with switch off occupancy sensor” has the best annual operation and it saves eight times more electricityenergy than the worst system which is the traditional “Always on during active occupancy sensor”. Considering thermalenergy consumption also proves the priority of occupancy and daylight dimming system. Selecting a suitable lightingcontrol system in initial steps of design or after construction is very affordable and increases environment quality.
Ansarimanesh, M., & Nasrollahi, N. (2014). Investigating the Effects of Environmental Factors on Office Buildings, Indoor Environment Quality in Iran’s Cold Climate (Case study: Kermanshah). International Journal of Architecture and Urban Development (IJAUD), 4 (2), 53-58.
ASHRAE, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (2007). Ashrae standard 90.1. Atlanta, GA
Bakker, L.G., Hoes-van Oeffelen, E.C.M., Loonen, R.C.G.M., & Hensen, J.L.M. (2014). User satisfaction and interaction with automated dynamic facades: a pilot study. Building and Environment, 78, 44-52.
Bauman, F., Baughman, A., Carter, G., & Arens, E. (1997). A field study of PEM (personal environmental module) performance in bank of Americas SanFrancisco office buildings. Technical report, University of California, Berkeley.
Doulos, L., Tsangrassoulis, A., & Topalis, F. (2008). Quantifying energy savings in daylight responsive systems: The role of dimming electronic ballasts. Energy and Buildings, 40 (1), 36–50.
Elghazi, Y.S., Wagdy, A., Mohamed, S. A. A., & Hassan, A. G. (2014). Daylighting driven design: optimizing kaleidocycle façade for hot arid climate. 5th German-Austrian IBPSA conference, September 22-24, RWTH Aachen University.
Embrechts, R., & Van Bellegen, C. (1997). Increased energy savings by individual light control, Proceedings of Right Light 4 conference, November 19-21, Copenhagen, Denmark. 179-182.
IEA. (2006). International Energy Agency. Light’s Labour’s lost. IEA Publications, France
Krarti, Moncef. (2011). Energy audit of building systems, 2ed edition, CRC press, United States.
Kreider, J. F. (2011). Handbook of heating, ventilation and air conditioning, CRC press, Washington DC. New York
Nippun Kumaar, A.A., Kiran, G., & Sudarshan, TSB. (2010). Intelligent lighting system using wireless sensor networks. International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC), 1 (4), 17-27.
Makani, V., Khorram, A., &Ahmadipour, Z. (2012). Secrets of light in traditional houses of Iran. International Journal of Architecture and Urban Development (IJAUD), 2(3), 45-50.
Maniccia, D., & Tweed, A. (2000). Occupancy sensor simulations and energy analysis for commercial buildings. Troy, NY: Lighting Research Center, Rensselaer Polytechnic Institute.
Onaygil, S., & Guler, O. (2003). Determination of the energy saving by using daylight responsive lighting control systems with an example from Istanbul. Building and Environment, 38, 973-977.
Park, H., Burke, J., &Srivastava, M.B. (2009). Intelligent lighting control using wireless sensor networks for media production. KSII transactions on internet and information systems, 3 (5), 423-443.
Ray, R., &Verma, A.K. (2012). Solution for efficient light control. International journal of advances in computing and information technology, 1(4), 394-399.
Reinhart, CF., & Walkenhorst, O. (2001). Validation of dynamic radiance-based daylight simulations for a test office with external blinds. Energy and Buildings, 33(7), 683-697.
Singhvi, V., Krause, A., Guestrin, C., Garrett Jr. J. H., &Matthews, H.S. (2005). Intelligent light control using sensor networks. SenSys '05 Proceedings of the 3rd international conference on Embedded networked sensor systems. November 2-4, New York, United States, 218-229.
Ticleanu, C. (2014). Aiming to achieve net zero lighting in buildings. Inginiria Iluminatului, 16 (1), 31-44.
Wang, Q., Zhuang, X & Boyer, K.L. (2014). Occupancy distribution estimation for smart light delivery with perturbation-modulated light sensing. Journal of Solid State Lighting, 1(17), 1-29.
Williams, W. (1999). Foot-candles and lux for architectural lighting, an introduction to illuminance, (2ed ed.), available at: http://www.mts.net/williams5/library/illum.htm (assessed on 28 November 2014).
Williams, A., Atkinson, B., Garbesi, K., & Rubinstein, F. (2011). A meta-analysis of energy savings from lighting controls in commercial buildings, Lawrence Berkeley National Laboratory. Berkeley: Eric page &Associates Inc.
Zarei, M., & Khademi Zare, H. (2013). Energy consumption modeling in residential buildings. International Journal of Architecture and Urban Development (IJAUD), 3(1), 35-38.
