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Adjustment factors for the ASHRAE clear-sky model based on solar-radiation measurements in Riyadh

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  • Al-Sanea, Sami A.
  • Zedan, M. F.
  • Al-Ajlan, Saleh A.

Abstract

The solar-radiation variation over horizontal surfaces calculated by the ASHRAE clear-sky model is compared with measurements for Riyadh, Saudi Arabia. Both model results and measurements are averaged on an hourly basis for all days in each month of the year to get a monthly-averaged hourly variation of the solar flux. The measured data are further averaged over the years 1996-2000. The ASHRAE model implemented utilizes the standard values of the coefficients proposed in the original model. Calculations are also made with a different set of coefficients proposed in the literature. The results show that the ASHRAE model calculations generally over-predict the measured data particularly for the months of October --> May. A daily total solar-flux is obtained by integrating the hourly distribution. Based on the daily total flux, a factor [Phi] (

Suggested Citation

  • Al-Sanea, Sami A. & Zedan, M. F. & Al-Ajlan, Saleh A., 2004. "Adjustment factors for the ASHRAE clear-sky model based on solar-radiation measurements in Riyadh," Applied Energy, Elsevier, vol. 79(2), pages 215-237, October.
  • Handle: RePEc:eee:appene:v:79:y:2004:i:2:p:215-237
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    References listed on IDEAS

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    1. Al-Abbadi, N.M & Alawaji, S.H & Bin Mahfoodh, M.Y & Myers, D.R & Wilcox, S & Anderberg, M, 2002. "Saudi Arabian solar radiation network operation data collection and quality assessment," Renewable Energy, Elsevier, vol. 25(2), pages 219-234.
    2. Gopinathan, K.K. & Soler, Alfonso, 1992. "A sunshine dependent global insolation model for latitudes between 60°N and 70°N," Renewable Energy, Elsevier, vol. 2(4), pages 401-404.
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    2. Al-Sanea, Sami A. & Zedan, M.F., 2008. "Optimized monthly-fixed thermostat-setting scheme for maximum energy-savings and thermal comfort in air-conditioned spaces," Applied Energy, Elsevier, vol. 85(5), pages 326-346, May.
    3. Wu, Yujie & Wang, Jianzhou, 2016. "A novel hybrid model based on artificial neural networks for solar radiation prediction," Renewable Energy, Elsevier, vol. 89(C), pages 268-284.
    4. Al-Sanea, Sami A. & Zedan, M.F. & Al-Hussain, S.N., 2013. "Effect of masonry material and surface absorptivity on critical thermal mass in insulated building walls," Applied Energy, Elsevier, vol. 102(C), pages 1063-1070.
    5. Hepbasli, Arif & Alsuhaibani, Zeyad, 2011. "A key review on present status and future directions of solar energy studies and applications in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5021-5050.
    6. Al-Sanea, Sami A. & Zedan, M.F. & Al-Ajlan, Saleh A., 2005. "Effect of electricity tariff on the optimum insulation-thickness in building walls as determined by a dynamic heat-transfer model," Applied Energy, Elsevier, vol. 82(4), pages 313-330, December.
    7. Daouas, Naouel, 2016. "Impact of external longwave radiation on optimum insulation thickness in Tunisian building roofs based on a dynamic analytical model," Applied Energy, Elsevier, vol. 177(C), pages 136-148.
    8. Al-Sanea, Sami A. & Zedan, M.F., 2011. "Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass," Applied Energy, Elsevier, vol. 88(9), pages 3113-3124.
    9. Al-Sanea, Sami A. & Zedan, M.F., 2012. "Effect of thermal bridges on transmission loads and thermal resistance of building walls under dynamic conditions," Applied Energy, Elsevier, vol. 98(C), pages 584-593.
    10. El Ouderni, Ahmed Ridha & Maatallah, Taher & El Alimi, Souheil & Ben Nassrallah, Sassi, 2013. "Experimental assessment of the solar energy potential in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 155-168.
    11. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.

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