DEVELOPING A MODEL TO IMPROVE THE PREDICTION OF DAILY SOLAR RADIATION FOR THE PREDICTION OF REFERENCE EVAPOTRANSPIRATION | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 4, Volume 35, Issue 4, October 2018, Page 1225-1242 PDF (574.72 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2018.95270 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| A. M. Alzoheiry1, 2 | ||||
| 1Dept. of Natural Resources and Agric. Eng., Faculty of Agric., Damanhour Univ., Egypt. | ||||
| 2Dept. of Plant Production and Protection, Fac. of Agric. and Vet. Med., Qassim Univ., KSA. | ||||
| Abstract | ||||
| Three modification of the Hargreaves and Samani (HS) model were proposed to account for the effect of the atmospheric vapor on the prediction of the global solar radiation. The predicted values of the solar radiation using the three models and the values of the original HS model were compared to the measured solar radiation using root mean square error (RMSE), mean absolute bios error (MABE), mean bios error (MBE) and the T-test in pairs. The results showed that the first model M1, and the second model M2 performed better than the original HS. The T- test results showed that there are no significant differences between the means values of the two models prediction and the mean value of the measured solar radiation. The MBE for both M1 and M2 indicates a tendency to slightly over estimate the solar values for M1, and a slight under estimation of the M2 prediction. The model M1 increased the values of the ETo predicted using the FPM than the original HS model and thus solved the problem of ETo under estimation by FPM. It is recommended to use M1 for application where over predictions is safer such as evapotranspiration prediction and use M2 where under prediction is safer such as solar radiation prediction for thermal solar application and solar collectors. | ||||
| Keywords | ||||
| Global solar radiation; prediction; Hargreaves and Samani; temperature based models; evapotranspiration | ||||
| References | ||||
|
Allen, R. G. (1996). Assessing integrity of weather data for reference evapotranspiration estimation. Journal of Irrigation and Drainage Engineering, 122(2), 97-106.
Allen, R. G. (1997). Self-calibrating method for estimating solar radiation from air temperature. Journal of Hydrologic engineering, 2(2), 56-67.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), D05109.
Almorox, J., Hontoria, C., and Benito, M. (2011). Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain). Applied Energy, 88(5), 1703-1709.
Annandale, J., Jovanovic, N., Benade, N., and Allen, R. (2002). Software for missing data error analysis of Penman-Monteith reference evapotranspiration. Irrigation Science, 21(2), 57-67.
Bakirci, K. (2009). Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey. Energy, 34(4), 485-501.
Benli, B., Bruggeman, A., Oweis, T., and Üstün, H. (2010). Performance of Penman-Monteith FAO56 in a semiarid highland environment. Journal of Irrigation and Drainage Engineering, 136 (11), 757-765.
Bristow, K. L., and Campbell, G. S. (1984). On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and forest meteorology, 31(2), 159-166.
Besharat, F., Dehghan, A. A., and Faghih, A. R. (2013). Empirical models for estimating global solar radiation: A review and case study. Renewable and Sustainable Energy Reviews, 21, 798-821.
Boes, E. C. (1981). "Chapter 2: Fundamentals of solar radiation." Solar energy handbook, J. F. Kreider and F. Kreith, eds., McGraw-Hili Book Co., New York, N.V.
Blaney, H. F., and Criddle, W. D. (1962). Determining consumptive use and irrigation water requirements (No. 1275). US Department of Agriculture.
Chen, R., Ersi, K., Yang, J., Lu, S., and Zhao, W. (2004). Validation of five global radiation models with measured daily data in China. Energy Conversion and Management, 45(11-12), 1759-1769.
Ertekin, C., and Yaldız, O. (1999). Estimation of monthly average daily global radiation on horizontal surface for Antalya (Turkey). Renewable Energy, 17(1), 95-102.
El-Metwally, M. (2004). Simple new methods to estimate global solar radiation based on meteorological data in Egypt. Atmospheric Research, 69(3-4), 217-239.
El-Metwally, M. (2005). Sunshine and global solar radiation estimation at different sites in Egypt. Journal of Atmospheric and Solar-Terrestrial Physics, 67(14), 1331-1342.
Goodin, D. G., Hutchinson, J. M. S., Vanderlip, R. L., and Knapp, M. C. (1999). Estimating solar irradiance for crop modeling using daily air temperature data. Agronomy Journal, 91(5), 845-851.
Guitjens, J. C. (1982). Models of alfalfa yield and evapotranspiration. Journal of the irrigation and drainage division, 108(3), 212-222.
Harbeck, G. E. (1962). A practical field technique for measuring reservoir evaporation utilizing mass-transfer theory. US Government Printing Office.
Hargreaves, G. H., and Samani, Z. A. (1982). Estimating potential evapotranspiration. Journal of the Irrigation and Drainage Division, 108(3), 225-230.
Hargreaves, G. H. (1994). Simplified coefficients for estimating monthly solar radiation in North America and Europe. Dept. Paper. Departmental of Biological and Irrigation Engineering, Utah State University, Logan
Katiyar, A. K., and Pandey, C. K. (2010). Simple correlation for estimating the global solar radiation on horizontal surfaces in India. Energy, 35(12), 5043-5048.
Mahmood, R., and Hubbard, K. G. (2002). Effect of time of temperature observation and estimation of daily solar radiation for the Northern Great Plains, USA. Agronomy Journal, 94(4), 723-733.
Majumdar, N. C., Mathur, B. L., and Kaushik, S. B. (1972). Prediction of direct solar radiation for low atmospheric turbidity. Solar Energy, 13(4), 383-394.
Meza, F., and Varas, E. (2000). Estimation of mean monthly solar global radiation as a function of temperature. Agricultural and Forest Meteorology, 100(2-3), 231-241.
Priestley, C. H. B., and Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly weather review, 100(2), 81-92.
Sabziparvar A. A. (2008). A simple formula for estimating global solar radiation in central arid deserts of Iran. Renewable Energy 2008;33:1002–10.
Thornton, P. E., and Running, S. W. (1999). An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agricultural and Forest Meteorology, 93(4), 211-228.
Willmott, C. J., and Matsuura, K. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate research, 30(1), 79-82.
Winslow, J. C., Hunt Jr, E. R., and Piper, S. C. (2001). A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data. Ecological Modelling, 143(3), 227-243.
Yorukoglu, M., and Celik, A. N. (2006). A critical review on the estimation of daily global solar radiation from sunshine duration. Energy Conversion and Management, 47(15-16), 2441-2450. | ||||
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