A spatiotemporal universal model for the prediction of the global solar radiation based on Fourier series and the site altitude

Abstract This paper presents the development, testing and validation of a novel generic type universal model consisting of a set of sine and cosine harmonics in the temporal and spatial domain suitably parameterized for the prediction of the mean expected global solar radiation H(n,φ) on the horizontal for a day, n, at any latitude φ. Its prediction power is further enhanced with the introduction of a correction term for the site altitude taking into account the φ dependent atmospheric height. Solar radiation data from 53 stations around the earth were obtained from GEBA database to train the model. H(n,φ) is expressed by a Fourier series of compact form with the zero frequency component dependent on φ providing the main spatial dependence and two n dependent harmonics in the form of cosine functions giving the time dependence. The φ dependent model parameters follow symmetry rules and are expressed by Fourier series up to the 3rd order harmonic. The 3D spatiotemporal profile of the model is in agreement to the extraterrestrial one. The model was validated using GEBA data from additional 28 sites and compared with NASA, PVGIS and SoDa data, showing the robustness, reliability and prediction accuracy of the proposed model.

[1]  Liang Zhao,et al.  Models for calculating daily global solar radiation from air temperature in humid regions—A case study , 2015 .

[2]  M. R. Rietveld,et al.  A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine , 1978 .

[3]  S. N. Kaplanis,et al.  New methodologies to estimate the hourly global solar radiation; Comparisons with existing models , 2006 .

[4]  Randall Mullen,et al.  A Beta Regression Model for Improved Solar Radiation Predictions , 2013 .

[5]  F. Besharat,et al.  Empirical models for estimating global solar radiation: A review and case study , 2013 .

[6]  N. Fodor,et al.  Using analogies from soil science for estimating solar radiation , 2011 .

[7]  V. N. Bapat,et al.  General formula for the estimation of global solar radiation on earth’s surface around the globe , 2012 .

[8]  Barbara Scherllin-Pirscher,et al.  Characteristics of tropopause parameters as observed with GPS radio occultation , 2014 .

[9]  O. D. Ohijeagbon,et al.  New model to estimate daily global solar radiation over Nigeria , 2014 .

[10]  Soteris A. Kalogirou,et al.  Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system , 2008 .

[11]  J. Wallace,et al.  Atmospheric Science: An Introductory Survey , 1977 .

[12]  Martin Wild,et al.  The Global Energy Balance Archive (GEBA) version 2017: a database for worldwide measured surface energy fluxes , 2017 .

[13]  V. Badescu Correlations to estimate monthly mean daily solar global irradiation: application to Romania , 1999 .

[14]  A. H. Hassan,et al.  Fourier transforms Investigation of Global Solar Radiation at True Noon: in the Desert climatology , 2007 .

[15]  Y. S. Kok A Solar Radiation Model with a Fourier Transform Approach , 2005 .

[16]  P. Akhter,et al.  A novel approach to estimate the clear day global radiation , 1991 .

[17]  Kasra Mohammadi,et al.  A statistical comparative study to demonstrate the merit of day of the year-based models for estimation of horizontal global solar radiation , 2014 .

[18]  W. Chow,et al.  Solar radiation model , 2001 .

[19]  Martin Wild,et al.  Global dimming and brightening: A review , 2009 .

[20]  Huashan Li,et al.  Estimating daily global solar radiation by day of year in China , 2010 .

[21]  E. Kaplani,et al.  Monthly average daily global and diffuse solar radiation based on sunshine duration and clearness index for Brasov, Romania , 2014 .

[22]  Atsu S.S. Dorvlo Fourier analysis of meteorological data for Seeb , 2000 .

[23]  M. Iqbal An introduction to solar radiation , 1983 .

[24]  R. Sausen,et al.  Determining the tropopause height from gridded data , 2003 .

[25]  A. Rabl,et al.  The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values , 1979 .

[26]  Q. Xiao,et al.  Trends in the global tropopause thickness revealed by radiosondes , 2012 .

[27]  Christian A. Gueymard,et al.  A critical look at recent interpretations of the Ångström approach and its future in global solar radiation prediction , 1995 .

[28]  L. Umanand,et al.  Estimation of global radiation using clearness index model for sizing photovoltaic system , 2005 .

[29]  Neelamegam Premalatha,et al.  Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms , 2016 .

[30]  C. Gueymard Prediction and Performance Assessment of Mean Hourly Global Radiation , 2000 .

[31]  Eleni Kaplani,et al.  A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values , 2007 .

[32]  R. Carey Atmospheric Science: An Introductory Survey , 1978 .

[33]  Qingshan Xu,et al.  Generation of typical solar radiation data for different climates of China , 2012 .

[34]  Eleni Kaplani,et al.  A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations , 2012 .

[35]  Robert Sausen,et al.  Behavior of tropopause height and atmospheric temperature in models, reanalyses, and observations: Decadal changes , 2003 .

[36]  M. Trancossi,et al.  A new correlation between solar energy radiation and some atmospheric parameters , 2014, 1401.7837.

[37]  M. Ranjan,et al.  Solar resource estimation using artificial neural networks and comparison with other correlation models , 2003 .

[38]  Q. Xiao,et al.  Is the tropopause higher over the Tibetan Plateau? Observational evidence from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) data , 2011 .

[39]  G. Craig,et al.  GCM Tests of Theories for the Height of the Tropopause , 1997 .

[40]  Tom Markvart,et al.  PV system sizing using observed time series of solar radiation , 2006 .

[41]  Eleni Kaplani,et al.  On a universal model for the prediction of the daily global solar radiation , 2016 .