EconPapers    
Economics at your fingertips  
 

Illuminance estimation and daylighting energy savings for Indian regions

M.C. Singh and S.N. Garg

Renewable Energy, 2010, vol. 35, issue 3, 703-711

Abstract: In this manuscript, potential of daylighting in reducing electrical lighting load, has been explored. The analysis has been carried out for four different types of windows and for three different climatic conditions of India. Two Perez models have been used to estimate illuminance on horizontal and for vertical surfaces as this data is not available in India. Effect of different glazed areas, that of orientation and that of climatic conditions on the reduction in lighting load, has been analysed. The daylighting software, ADELINE 3.0, has been used for computation of lighting energy savings. It has been found that for a given climate and orientation, if the window visible transmittance is low (0.07 for reflective window and 0.20 for solar control window) the energy saved due to daylighting increases with the glazed area but if window transmittance is high (0.78 for double glazed clear window and 0.73 for double glazed low-e window) it almost remains constant with glazed area. Energy saved is highly dependent on the window type, being highest for double glazed clear glass window and lowest for reflective window. By using Perez model and by associating this with average daylight factor, daylighting energy savings have also been computed and compared with the ADELINE simulated results.

Keywords: Sky condition; Illuminance; Daylight; Orientation; Climate (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148109003875
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:35:y:2010:i:3:p:703-711

DOI: 10.1016/j.renene.2009.08.023

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:35:y:2010:i:3:p:703-711