Economics at your fingertips  

Simple correlation for estimating the global solar radiation on horizontal surfaces in India

A.K. Katiyar and Chanchal Kumar Pandey

Energy, 2010, vol. 35, issue 12, 5043-5048

Abstract: A long range five years (2001–2005) measured data of the global solar radiation on horizontal surface along with the bright sunshine hours of four prominent cities viz. Jodhpur, Calcutta, Bombay, and Pune of India have been analyzed. The under considered cities have varying weather conditions of the country. The regression constants have been calculated for the first, second and the third order Angstrom type correlations for each location using regression analysis method. Comparisons of monthly mean global solar radiation (H¯) between the measured and the calculated values have been made. The statistical errors are also performed for testing the accuracy of regression constants. It is observed that in comparison to first order, second and the third order Angstrom type correlations do not improve the accuracy of the estimated global radiation. Therefore, using the measured data of all four cities together, we developed the first order Angstrom type correlations and presented new regression constants, applicable to all Indian locations. Furthermore, these regression constants of all India correlation are validated by comparison with the experimental and the other theoretical results available in literature.

Keywords: Global solar radiation; Bright sunshine hours; Regression analysis; Clearness index (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (11) Track citations by RSS feed

Downloads: (external link)
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:

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Series data maintained by Dana Niculescu ().

Page updated 2017-09-29
Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:5043-5048