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Trends in Applied Sciences Research
  Year: 2009 | Volume: 4 | Issue: 3 | Page No.: 158-166
DOI: 10.3923/tasr.2009.158.166
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Evaluation of Horizontal and Vertical Illuminance Models against Measured Data in Iran

S. Shekari. S and R. Golmohammadi

This study was undertaken to evaluate performance of three models of horizontal and two models of vertical illuminance based on measured data in Iran. Measurement of horizontal and South oriented vertical illuminance was carried out at three stations of Eshtehard, Hamadan and Kerman over 15 days at one hour intervals between 12 July and 1 August 2007 from 9 a.m. to 3 p.m. Synchronically calculation of solar altitudes and global horizontal illuminance carried out utilizing equations proposed by Illuminating Engineering Society of North America (IESNA) for measuring period. Two localized models entitled Solar altitude model and IESNA model in conjunction with the model of Robledo was adopted to predict horizontal illuminance. Also for predicting of South oriented vertical illuminance, a localized model based on IESNA equations in conjunction with a model of Ruiz were taken in to account. Mean measured and predicted horizontal values by three models found to be 96 KLx and 107.3-108.7 KLx, respectively. Among three horizontal models the model of IESNA (MBD = -1.26, RMSD = 10.25) performed best and the model of solar altitude performed worst. Mean measured and predicted values of vertical illuminance by two vertical models found to be 33.59 and 25.71-32.19, respectively. The IESNA model (MBD = -1.4, RMSD = 0.2) performed better than the model of Ruiz. Respective mean monthly predicted horizontal and vertical illuminance exceeded 63 KLx for 50 and 0.96% of working year indicating high daylight availability on horizontal and vertical planes in Iran.
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  •    Estimation of Horizontal Illuminance for Clear Skies in Iran
How to cite this article:

S. Shekari. S and R. Golmohammadi, 2009. Evaluation of Horizontal and Vertical Illuminance Models against Measured Data in Iran. Trends in Applied Sciences Research, 4: 158-166.

DOI: 10.3923/tasr.2009.158.166






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