ICA  Vol.4 No.1 , February 2013
Daylight Savings Calculation Technique for Smart Buildings
Abstract: This publication presents a technique of quantifying energy savings due to daylight. The technique is designated to be used in smart buildings or similar applications where daylight harvesting is welcomed. The technique is divided into three stages. In the first stage an optical sensor is evaluated for its P (power)-E (illumination) response characteristics. In the second stage the calibration of room properties is carried out. In the final stage photometric calculations are performed, and energy savings are calculated. The major advantage of the proposed approach is to determine energy savings during the design stage of a building, not after the building construction or retrofitting. The information obtained from the calculations is useful for investors, future tenants and environmentalists.
Cite this paper: D. Kacprzak and I. Tuleasca, "Daylight Savings Calculation Technique for Smart Buildings," Intelligent Control and Automation, Vol. 4 No. 1, 2013, pp. 102-107. doi: 10.4236/ica.2013.41014.

[1]   K. R. Shailesh and T. S. Raikar, “Computational Analysis of Daylight Harvesting Scheme in an Office Building in Mumbai,” IEEE International Conference on Sustainable Energy Technologies, Kandy, 6-9 December 2010.

[2]   S. G. Colaco, C. P. Kurian, V. I. George and A. M. Colaco, “An Approach to Energy Harvesting for Building Automated Control System,” XXXII National Systems Conference, Roorkee, 17-19 December 2008.

[3]   G. Parise and L. Martirano, “Daylight Impact on Energy Performance of Internal Lighting,” IEEE-IAS, Annual Meeting, Orlando, 9-13 October 2011.

[4]   R. Leslie, R. Raghavan, O. Howlett and C. Eaton, “The Potential of Simplified Concepts for Daylight Harvesting,” 2012.

[5]   California Energy Commission’s Public Interest Energy Research (PIER) Program, “Daylight Harvesting Made Simple,” 2012.

[6]   C. DiLouie, “Why Do Daylight Harvesting Projects Succeed or Fail?” 2012.

[7]   A. Cziker, M. Chindris and A. Miron, “Implementation of Fuzzy Logic in Daylighting Control,” 11th International Conference on Intelligent Engineering Systems, Budapest, 29 June-2 July 2007.

[8]   Standards, Australia/New Zealand Standards, 2009.

[9]   Lighting ETAP, 2012.

[10]   Tridonic Technical Data, 2012.

[11]   ETAP Lighting, “Light Controls ELS/DALI-ELS,” 2012.

[12]   Auckland Weather Averages, 2012.

[13]   Contact Energy, 2012.

[14]   CO2 Emissions, “Carbon Dioxide Generated in kg/MWh,” UNEP, Senoko, 2007.

[15]   DIALux?.