Global solar radiation estimation from measurements of visibility and air temperature extremes

References

• Airbus. 2000. Getting to Grips with Aircraft Performance. Blagnac: Airbus Customer Services.
   Google Scholar
• Allen, R. 1997. Self-calibrating method for estimating solar radiation from air temperature. Journal of Hydrologic Engineering 2 (2):56–67. doi:10.1061/(ASCE)1084-0699(1997)2:2(56).
   Web of Science ®Google Scholar
• Almorox, J. 2011. Estimating global solar radiation from common meteorological data in Aranjuez, Spain. Turkish Journal of Physics 35 (1):53–64.
   Google Scholar
• Ångström, A. 1929. On the atmospheric transmission of sun radiation and on dust in the air. Geografiska Annaler 11:156–66.
   Google Scholar
• Ångström, A. 1930. On the atmospheric transmission of sun radiation. II, 130–59. Stockholm, Sweden: Geografiska Annaler.
   Google Scholar
• Aras, H., O. Balli, and A. Hepbasli. 2006. Estimating the horizontal diffuse solar radiation over the Central Anatolia Region of Turkey. Energy Conversion and Management 47 (15–16):2240–49. doi:10.1016/j.enconman.2005.11.024.
   Web of Science ®Google Scholar
• Arslanoğlu, N. 2016. Evaluation of applicability of global solar radiation prediction models for Kocaeli. Uludag University Journal of the Faculty of Engineering 21 (1):217–26. doi:10.17482/uujfe.60277.
   Google Scholar
• Bakirci, K. 2009. Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey. Energy 34 (4):485–501. doi:10.1016/j.energy.2009.02.005.
   Web of Science ®Google Scholar
• Bakirci, K. 2015. Models for the estimation of diffuse solar radiation for typical cities in Turkey. Energy 82:827–38. doi:10.1016/j.energy.2015.01.093.
   Web of Science ®Google Scholar
• Bolsenga, S. J. 1965. The relationship between total atmospheric water vapor and surface dew point on a mean daily and hourly basis. Journal of Applied Meteorology 4 (3):430–32. doi:10.1175/1520-0450(1965)004<0430:TRBTAW>2.0.CO;2.
   Google Scholar
• Bristow, K. L., and G. S. Campbell. 1984. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology 31 (2):159–66. doi:10.1016/0168-1923(84)90017-0.
   Web of Science ®Google Scholar
• Bulut, H., and O. Büyükalaca. 2007. Simple model for the generation of daily global solar-radiation data in Turkey. Applied Energy 84 (5):477–91. doi:10.1016/j.apenergy.2006.10.003.
   Web of Science ®Google Scholar
• Chen, R., K. Ersi, J. Yang, S. Lu, and W. Zhao. 2004. Validation of five global radiation models with measured daily data in China. Energy Conversion and Management 45 (11):1759–69. doi:10.1016/j.enconman.2003.09.019.
   Web of Science ®Google Scholar
• Demirhan, H. 2014. The problem of multicollinearity in horizontal solar radiation estimation models and a new model for Turkey. Energy Conversion and Management 84:334–45. doi:10.1016/j.enconman.2014.04.035.
   Web of Science ®Google Scholar
• Duzen, H., and H. Aydin. 2012. Sunshine-based estimation of global solar radiation on horizontal surface at Lake Van region (Turkey). Energy Conversion and Management 58:35–46. doi:10.1016/j.enconman.2011.11.028.
   Web of Science ®Google Scholar
• Ertekin, C., and F. Evrendilek. 2007. Spatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkey. Agricultural and Forest Meteorology 145 (1–2):36–47. doi:10.1016/j.agrformet.2007.04.004.
   Web of Science ®Google Scholar
• Feng, L., A. Lin, L. Wang, W. Qin, and W. Gong. 2018. Evaluation of sunshine-based models for predicting diffuse solar radiation in China. Renewable and Sustainable Energy Reviews 94:168–82. doi:10.1016/j.rser.2018.06.009.
   Web of Science ®Google Scholar
• Hargreaves, G. L., G. H. Hargreaves, and J. P. Riley. 1985. Irrigation water requirements for Senegal River basin. Journal of Irrigation and Drainage Engineering 111 (3):265–75. doi:10.1061/(ASCE)0733-9437(1985)111:3(265).
   Web of Science ®Google Scholar
• Ineichen, P., and R. Perez. 2002. A new airmass independent formulation for the Linke turbidity coefficient. Solar Energy 73 (3):151–57. doi:10.1016/S0038-092X(02)00045-2.
   Web of Science ®Google Scholar
• Iqbal, M. 1983. An Introduction to Solar Radiation. Toronto: Academic Press.
   Google Scholar
• Kallioğlu, M. A., U. Ercan, H. Karakaya, and A. Durmuş. 2017. Adıyaman ilinde yatay düzleme gelen global güneş işinim değerlerinin ampirik modeller ile geliştirilmesi. Firat Üniversitesi Mühendislik Bilimleri Dergisi 29 (1):151–59.
   Google Scholar
• Koca, A., H. F. Oztop, Y. Varol, and G. Koca. 2011. Estimation of solar radiation using artificial neural networks with different input parameters for mediterranean region of anatolia in Turkey. Expert Systems with Applications 38 (7):8756–62. doi:10.1016/j.eswa.2011.01.085.
   Web of Science ®Google Scholar
• Leckner, B. 1978. “The spectral distribution of solar radiation at the earth’s surface—Elements of a model”. Solar Energy 20 (2):143–50. doi:10.1016/0038-092X(78)90187-1.
   Web of Science ®Google Scholar
• Marzo, A., M. Trigo-Gonzalez, J. Alonso-Montesinos, M. Martínez-Durbán, G. López, P. Ferrada, and F. J. Batlles. 2017. Daily global solar radiation estimation in desert areas using daily extreme temperatures and extraterrestrial radiation. Renewable Energy 113:303–11. doi:10.1016/j.renene.2017.01.061.
   Web of Science ®Google Scholar
• Mellit, A., M. Benghanem, and S. Kalogirou. 2006. “An adaptive wavelet-network model for forecasting daily total solar-radiation”. Applied Energy 83 (7):705–22. doi:10.1016/j.apenergy.2005.06.003.
   Web of Science ®Google Scholar
• Menges, H. O., C. Ertekin, and M. H. Sonmete. 2006. Evaluation of global solar radiation models for Konya, Turkey. Energy Conversion and Management 47 (18):3149–73. doi:10.1016/j.enconman.2006.02.015.
   Web of Science ®Google Scholar
• Metrology-in short. 2008. Danish fundamental metrology. Braunschweig, Germany: EURAMET
   Google Scholar
• Mie, G. 1908. “Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen”. Annalen der Physik 330 (3):377–445. doi:10.1002/(ISSN)1521-3889.
   Google Scholar
• Munson, B., D. Young, and T. Okiishi. 1990. Fundamentals of fluid mechanics, 4. New York: Wiley. 3.
   Google Scholar
• Özdemir, H., G. Borucu, G. Demir, S. Yiğit, and N. Ak. 2010. İstanbul’daki çocuk oyun parklarında partikül madde (PM2, 5 ve PM10) kirliliğinin incelenmesi. Ekoloji 20 (77):72–79. doi:10.5053/ekoloji.2010.7711.
   Web of Science ®Google Scholar
• Qin, W., L. Wang, A. Lin, M. Zhang, X. Xia, B. Hu, and Z. Niu. 2018. Comparison of deterministic and data-driven models for solar radiation estimation in China. Renewable and Sustainable Energy Reviews 81:579–94. doi:10.1016/j.rser.2017.08.037.
   Web of Science ®Google Scholar
• Quej, V. H., J. Almorox, M. Ibrakhimov, and L. Saito. 2017. Estimating daily global solar radiation by day of the year in six cities located in the Yucatán Peninsula, Mexico. Journal of Cleaner Production 141:75–82. doi:10.1016/j.jclepro.2016.09.062.
   Web of Science ®Google Scholar
• Rehman, S., and M. Mohandes. 2008. “Artificial neural network estimation of global solar radiation using air temperature and relative humidity”. Energy Policy 36 (2):571–76. doi:10.1016/j.enpol.2007.09.033.
   Web of Science ®Google Scholar
• Reitan, C. H. 1963. Surface dew point and water vapor aloft. Journal of Applied Meteorology 2 (6):776–79. doi:10.1175/1520-0450(1963)002<0776:SDPAWV>2.0.CO;2.
   Google Scholar
• Selby, J. E. A., and R. A. McClatchey. 1975. Atmospheric transmittance from 0.25 to 28.5 um: Computer code LOWTRAN 3. Massachusetts, USA: Air Force Cambridge Research Laboratories, Air Force Systems Command, United States Air Force.
   Google Scholar
• Sözen, A., E. Arcaklıoğlu, M. Özalp, and N. Çağlar. 2005. Forecasting based on neural network approach of solar potential in Turkey. Renewable Energy 30 (7):1075–90. doi:10.1016/j.renene.2004.09.020.
   Web of Science ®Google Scholar
• Tarhan, S., and A. Sarı. 2005. Model selection for global and diffuse radiation over the Central Black Sea (CBS) region of Turkey. Energy Conversion and Management 46 (4):605–13. doi:10.1016/j.enconman.2004.04.004.
   Web of Science ®Google Scholar
• US Government Printing Office. 1976. US standard atmosphere. Washington: NOAA.
   Google Scholar
• Vigroux, E. 1953. Contribution à l’étude expérimentale de l’absorption de l’ozone. In Annales de Physique 12 (8):709–762. EDP Sciences. doi:10.1051/anphys/195312080709.
   Google Scholar
• Viswanadham, Y. 1981. The relationship between total precipitable water and surface dew point. Journal of Applied Meteorology 20 (1):3–8. doi:10.1175/1520-0450(1981)020<0003:TRBTPW>2.0.CO;2.
   Google Scholar
• Wang, L., O. Kisi, M. Zounemat‐Kermani, Z. Zhu, W. Gong, Z. Niu, and Z. Liu. 2017. Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and M5 model tree. International Journal of Climatology 37 (3):1141–55. doi:10.1002/joc.4762.
   Web of Science ®Google Scholar
• Xu, S. Z. 1993. Fundamental of atmospheric physics, 661. Beijing: Meteorology Press.
   Google Scholar
• Yang, K., G. Huang, and N. Tamai. 2001. “A hybrid model for estimating global solar radiation”. Solar Energy 70 (1):13–22. doi:10.1016/S0038-092X(00)00121-3.
   Web of Science ®Google Scholar
• Yang, K., T. Koike, and B. Ye. 2006. “Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets”. Agricultural and Forest Meteorology 137 (1):43–55. doi:10.1016/j.agrformet.2006.02.001.
   Web of Science ®Google Scholar
• Yildiz, A. 2011. Investigation of applicability of ashrae clear-sky model to Izmir, Turkey. Isi Bilimi Ve Teknigi Dergisi/Journal of Thermal Science & Technology 31:2.
   Web of Science ®Google Scholar
• Yorukoglu, M., and A. N. Celik. 2006. A critical review on the estimation of daily global solar radiation from sunshine duration. Energy Conversion and Management 47 (15–16):2441–50. doi:10.1016/j.enconman.2005.11.002.
   Web of Science ®Google Scholar
• Zou, L., L. Wang, A. Lin, H. Zhu, Y. Peng, and Z. Zhao. 2016. Estimation of global solar radiation using an artificial neural network based on an interpolation technique in southeast China. Journal of Atmospheric and Solar-Terrestrial Physics 146:110–22. doi:10.1016/j.jastp.2016.05.013.
   Web of Science ®Google Scholar
• Zou, L., L. Wang, L. Xia, A. Lin, B. Hu, and H. Zhu. 2017. Prediction and comparison of solar radiation using improved empirical models and Adaptive Neuro-Fuzzy Inference Systems. Renewable Energy 106:343–53. doi:10.1016/j.renene.2017.01.042.
   Web of Science ®Google Scholar