290
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Improvement and evaluation of daily global solar radiation decomposition models using meteorological parameters: A case study for Turkey

ORCID Icon & ORCID Icon
Pages 1633-1648 | Received 17 Apr 2021, Accepted 23 Nov 2021, Published online: 08 Apr 2022

References

  • Anis, M. S., B. Jamil, M. A. Ansari, and E. Bellos. 2019. Generalized models for estimation of global solar radiation based on sunshine duration and detailed comparison with the existing: A case study for India. Sustainable Energy Technologies and Assessments 31:179–98. doi:10.1016/j.seta.2018.12.009.
  • Ayadi, A., Z. Driss, A. Bouabidi, and M. S. Abid. 2019. Estimation of the solar radiation based on air temperature in Tunisia. Environmental Progress & Sustainable Energy 38:600–07. doi:10.1002/ep.12962.
  • Ayvazoğluyüksel, Ö., and Ü. Başaran Filik. 2017. Estimation of monthly average hourly global solar radiation from the daily value in Çanakkale, Turkey. Journal of Clean Energy Technologies 5:389–93. doi:10.18178/JOCET.2017.5.5.403.
  • Ayvazoğluyüksel, Ö., and Ü. Başaran Filik. 2018. Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskişehir. Renewable and Sustainable Energy Reviews 91:639–53. doi:10.1016/j.rser.2018.03.084.
  • Baig, A., P. Akhter, and A. Mufti. 1991. A novel approach to estimate the clear day global radiation. Renewable Energy 1:119–23. doi:10.1016/0960-1481(91)90112-3.
  • Başaran Filik, Ü., T. Filik, and Ö. N. Gerek. 2018. A hysteresis model for fixed and sun tracking solar PV power generation systems. Energies 11 (3):603. doi:10.3390/en11030603.
  • Besharat, F., A. A. Dehghan, and A. R. Faghih. 2013. Empirical models for estimating global solar radiation: A review and case study. Renewable and Sustainable Energy Reviews 21:798–821. doi:10.1016/j.rser.2012.12.043.
  • Bruin, H. A. R. D., B. J. J. M. V. D. Hurk, and L. J. M. Kroon. 1999. On the temperature-humidity correlation and similarity. Boundary-Layer Meteorology 93:453–468. doi: 10.1023/A:1002071607796.
  • Chelbi, M., Y. Gagnon, and J. Waewsak. 2015. Solar radiation mapping using sunshine duration-based models and interpolation techniques: Application to Tunisia. Energy Conversion and Management 101:203–15. doi:10.1016/j.enconman.2015.04.052.
  • Chen, J.-L., and G.-S. Li. 2013. Estimation of monthly average daily solar radiation from measured meteorological data in Yangtze River Basin in China. International Journal of Climatology 33 (2):487–98. doi:10.1002/joc.3442.
  • Chukwujindu, N. S. 2017. A comprehensive review of empirical models for estimating global solar radiation in Africa. Renewable and Sustainable Energy Reviews 78:955–95. doi:10.1016/j.rser.2017.04.101.
  • Collares-Pereira, M., and A. Rabl. 1979. The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values. Solar Energy 22:155–64. doi:10.1016/0038-092X(79)90100-2.
  • Elma, O., and U. S. Selamoğulları. 2012. A comparative sizing analysis of a renewable energy supplied stand-alone house considering both demand side and source side dynamics. Applied Energy 96:400–08. doi:10.1016/j.apenergy.2012.02.080.
  • Fan, J., X. Wang, L. Wu, F. Zhang, H. Bai, X. Lu, and Y. Xiang. 2018. New combined models for estimating daily global solar radiation based on sun- shine duration in humid regions: A case study in South China. Energy Conversion and Management 156:618–25. doi:10.1016/j.enconman.2017.11.085.
  • Garg, H., and S. Garg. 1987. Improved correlation of daily and hourly diffuse radiation with global radiation for Indian stations. Solar & Wind Technology 4:113–26. doi:10.1016/0741-983X(87)90037-3.
  • Guermoui, M., F. Melgani, K. Gairaa, and M. L. Mekhalfi. 2020. A comprehensive review of hybrid models for solar radiation forecasting. Journal of Cleaner Production 258:120357. doi:10.1016/j.jclepro.2020.120357.
  • Gueymard, C. 1986. Mean daily averages of beam radiation received by tilted surfaces as affected by the atmosphere. Solar Energy 37:261–67. doi:10.1016/0038-092X(86)90043-5.
  • Gueymard, C. 2000. Prediction and performance assessment of mean hourly global radiation. Solar Energy 68:285–303. doi:10.1016/S0038-092X(99)00070-5.
  • Hussain, S., and A. AlAlili. 2016. Online sequential learning of neural networks in solar radiation modeling using hybrid Bayesian hierarchical approach. ASME Journal of Solar Energy Engineering 138 (6):061012. doi: 10.1115/1.4034907.
  • Jain, P. 1984. Comparison of techniques for the estimation of daily global irradiation and a new technique for the estimation of hourly global irradiation. Solar & Wind Technology 1:123–34. doi:10.1016/0741-983X(84)90014-6.
  • Jain, P. 1988. Estimation of monthly average hourly global and diffuse irradiation. Solar & Wind Technology 5:7–14. doi:10.1016/0741-983X(88)90085-9.
  • Karaveli, A. B., and B. G. Akinoglu. 2018. Comparisons and critical assessment of global and diffuse solar irradiation estimation methodologies. International Journal of Green Energy 15 (5):325–32. doi:10.1080/15435075.2018.1452743.
  • Li, M.-F., P.-T. Guo, S. Dai, H. Luo, E. Liu, and Y. Li. 2020. Empirical estimation of daily global solar radiation with contrasting seasons of rain and drought characterize over tropical China. Journal of Cleaner Production 266:121915. doi:10.1016/j.jclepro.2020.121915.
  • Liu, B. Y., and R. C. Jordan. 1960. The interrelationship and characteristic distribution of direct, diffuse and total solar radiation. Solar Energy 4:1–19. doi:10.1016/0038-092X(60)90062-1.
  • Luque, A., and S. Hegedus. 2003. Handbook of photovoltaic science and engineering. United Kingdom: John Wiley & Sons.
  • Manju, S., and M. Sandeep. 2019. Prediction and performance assessment of global solar radiation in Indian cities: A comparison of satellite and surface measured data. Journal of Cleaner Production 230:116–28. doi:10.1016/j.jclepro.2019.05.108.
  • Markvart, T. Solar Electricity, 2nd. Chichester: John Wiley & Sons,2000.
  • Mejdoul, R., and M. Taqi. 2012. The mean hourly global radiation prediction models investigation in two different climate regions in Morocco. International Journal of Renewable Energy Research 2 (4):608–17.
  • Naderi, M., and M. Sabzpooshani. 2019. On the importance of relative humidity for prediction of diffuse solar radiation in warm and humid climate of Iran. International Journal of Green Energy 16:1230–41. doi:10.1080/15435075.2019.1671398.
  • Naim, H., R. Fares, A. Bouadi, A. Hassini, and B. Noureddine. 2020. An improved model of estimation global solar irradiation from in Situ Data: Case of Algerian Oranie’s Region. ASME Journal of Solar Energy Engineering 142 (3): 034501. doi: 10.1115/1.4045737.
  • Newell, T. A. 1983. Simple models for hourly to daily radiation ratio correlations. Solar Energy 31:339–42. doi:10.1016/0038-092X(83)90024-5.
  • Olmo, F. J., J. Vida, I. Foyo, Y. Castro-Diez, and L. Alados-Arboledas. 1999. Prediction of global irradiance on inclined surfaces from horizontal global irradiance. Energy 24 (8):689–704. doi:10.1016/S0360-5442(99)00025-0.
  • Principe, J., and W. Takeuchi. 2019. Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors. Journal of Renewable and Sustainable Energy 11:013502. doi: 10.1063/1.5059335.
  • Quansah, E., L. K. Amekudzi, K. Preko, J. Aryee, O. R. Boakye, D. Boli, and M. R. Salifu. 2014. Empirical models for estimating global solar radiation over the Ashanti Region of Ghana. Journal of Solar Energy 2014 (3):1–6. doi:10.1155/2014/897970.
  • Ramgolam, Y. K., and K. M. S. Soyjaudah. 2019. Assessment and validation of global horizontal radiation: A case study in Mauritius. International Journal of Green Energy 16:1317–28. doi:10.1080/15435075.2019.1671407.
  • Schwingshackl, C., M. Petitta, J. Wagner, G. Belluardo, D. Moser, M. Castelli, M. Zebisch, and A. Tetzlaff. 2013. Wind effect on PV module temperature: Analysis of different techniques for an accurate estimation. Energy Procedia 40:77–86. doi:10.1016/j.egypro.2013.08.010.
  • Shazly, S. M. E. 1996. Estimation of hourly and daily global solar radiation at clear days using an approach based on modified version of Gaussian distribution. Advances in Atmospheric Sciences 13:349–58. doi:10.1007/BF02656852.
  • Shrestha, A. K., A. Thapa, and H. Gautam. 2019. Solar radiation, air temperature, relative humidity, and dew point study: Damak, Jhapa, Nepal.International Journal of Photoenergy 2019. doi:10.1155/2019/8369231.
  • Siva Krishna Rao, K. D. V., M. Premalatha, and C. Naveen. 2018. Method and strategy for predicting daily global solar radiation using one and two input variables for Indian stations. Journal of Renewable and Sustainable Energy 10:013701. doi:10.1063/1.4995035.
  • Whillier, A. 1956. The determination of hourly values of total solar radiation from daily summations. Archiv für Meteorologie, Geophysik und Bioklimatologie, Serie B 7:197–204. doi:10.1007/BF02243322.
  • Yao, W., Z. Li, T. Xiu, Y. Lu, and X. Li. 2015. New decomposition models to estimate hourly global solar radiation from the daily value. Solar Energy 120:87–99. doi:10.1016/j.solener.2015.05.038.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.