High Dynamic Range Imaging System for Energy Optimization in Daylight – Artificial Light Integrated Scheme

Abstract

This paper explains High Dynamic Range Imaging (HDRI) technology for the control and optimization of visual comfort, thermal comfort and energy consumption in daylight-artificial light integrated scheme. The objective of this work is to incorporate image sensors, Wi-Fi and ZigBee to make an economical solution for reducing energy consumption while improving visual comfort levels.  The camera based fuzzy model presented determines the position of blinds ensuring visual and thermal comfort by reducing glare and maintaining uniformity. MATLAB – SIMULINK technical computing and visualizing environment is used to obtain the complete system including making HDR images, calibration of camera, formulation of control algorithm for artificial light and window blind control as well as to analyse the quality aspects of daylight-artificial light integrated scheme.

Keywords

• Light Emitting Diode (LED) lighting control, Daylight-Artificial light integration, Fuzzy Logic Control, High Dynamic Range Imaging, Energy saving.

References

1. Sheryl G. Colaco, Ciji P. Kurian, “ Prospective techniques of effective commercial glazing,Dynamic shading devices and dimming control- A Literature review ”, Building simulations, vol. 1, pp. 279-289, December 2008. daylight harvesting in buildings by employing window
2. Guillemin A., Morel N., “An innovative lighting controller integrated in a self adaptive building control system”, Energy and buildings, vol. 33, pp. 477-487, May 2001.
3. Inanici M.N., “Evaluation of high dynamic range photography as a luminance data acquisition system”, Lighting Research and Technology. vol. 38, pp. 123- 136, June 2006.
4. Newsham G. R., Arsenault C. D., “ A camera as a sensor for lighting and shading control” Lighting Research & Technology, vol. 41, pp. 143-163, June 2009.
5. Martinez J. R , Jimenez G., “ Localization and tracking using camera based wireless sensor networks. Sensor Fusion: Foundation and Applications’, Intech publications, 2011.
6. Gabele H., “The usage of digital camers as luminance meters”, Diploma Thesis, University of Applied sciences, Cologne, February 2006.
7. Cai, H., Chung, T. M., “Improving the quality of high dynamic range images”, Lighting Research and Technology, vol. 43, pp. 87-102, March 2011.
8. Ehrlich C., Papamichael K., Lai J., Revzan K.A., “Method for simulating the performance of photosensor- based lighting controls”, Energy and Buildings, vol. 34, pp. 883-889, October 2002.

9. Kumaragurubaran V., “High Dynamic Range Image Processing Toolkit for Lighting Simulations and Analysis”, (Doctoral dissertation, University Of Washington), September 2012.
10. Dietmar Wüller, Helke Gabele, “ The usage of digital cameras as luminance meters”, Proceedings of the SPIE- IS&T Electronic Imaging, Germany, SPIE vol. 6502, 65020U, February 2007
11. Doyle S., Reinhart C., “High dynamic range imaging & glare analysis”, Harvard graduate school of design, 2010.
12. Bellia L., Spada G., “Photomteric characterization of small sources with high dynamic range illuminance mapping”, Lighting Research and Technology, vol. 46, pp. 329-340, February 2013.
13. Kurian C. P., George V.I., Aithal R.S., Bhat J., “Fuzzy Logic based window blind controller maximizing visual comfort, thermal comfort and energy conservation suitable for tropical climate”, IE(I) Journal-AR, vol. 89, pp.14-22, 2008.
14. Colaco G. Sheryl, “Adaptive predictive lighting controllers for daylight artificial light integrated schemes”, PhD thesis, Manipal University, India, 2011.
15. Kim, D. W., Park, C. S., “Comparative control strategies of exterior and interior blind systems”, Lighting Research February 2012. 1477153511433996,
16. Chan Ying-Chieh, Athanasios Tzempelikos, “Efficient venetian blind control strategies considering daylight utilization and glare protection”, Solar Energy, vol. 98, pp. 241-254, December 2013.
17. Galasiu A.D., Veitch J.A., “Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: A literature review”, Energy and Buildings, vol. 38, pp.728-742, July 2006.
18. George Mary Ann, Choudhary S, Sahay D., Yerra T., Kurian C.P., “ Digitally addressable wireless interface for lighting control system”, Texas Instruments India Educators Conference, DOI:10.1109/TIIEC.2013.46, April 2013.
19. Kurian C.P., Aithal R.S., Bhat J., George V. I., “Robust control and optimisation of energy consumption in daylight—artificial light integrated schemes”, Lighting Research 10.1177/1477153507079511, vol. 40, pp. 7-24, March 2008. Technology, DOI:
20. Sudheer Kumar, Nithya Merin Jacob, Dr. Ciji Pearl Kurian, Dr. Kumara Shama “calibration curves for luminance data acquisition using Matlab’”, International Journal of Engineering Research and Technology ISSN: 2278-0181, Vol.3, no.03, March 2014
21. Jinsoo Han, “Remote controllable and energy saving room architecture based on Zigbee communication”, Consumer Electronics, vol 55, pp. 264-268, February 2009.
22. Mark Stanley Rea, The IESNA Lighting Handbook: Reference & Application, 9th ed., Illuminating Engineering Society of North America, 2000, chapter 11, pp. 3.