A stochastic model for the hourly solar radiation process for application in renewable resources management
Giannis Koudouris
CORRESPONDING AUTHOR
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), Heroon Polytechneiou 5, 157 80, Zographou, Greece
Panayiotis Dimitriadis
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), Heroon Polytechneiou 5, 157 80, Zographou, Greece
Theano Iliopoulou
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), Heroon Polytechneiou 5, 157 80, Zographou, Greece
Nikos Mamassis
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), Heroon Polytechneiou 5, 157 80, Zographou, Greece
Demetris Koutsoyiannis
Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), Heroon Polytechneiou 5, 157 80, Zographou, Greece
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Cited articles
Aguiar, R. and Collares-Pereira, M. T. A. G.: TAG: a time-dependent,
autoregressive, Gaussian model for generating synthetic hourly radiation,
Sol. Energy, 49, 167–174, 1992.
Asquith, W. H.: Lmomco – L-moments, censored L-moments, trimmed L-moments,
L-comoments, and many distributions, R package version 2.3.1, Texas Tech
University, Lubbock, Texas, USA, 2018.
Ayodele, T. R. and Ogunjuyigbe, A. S. O.: Prediction of monthly average
global solar radiation based on statistical distribution of clearness index,
Energy, 90, 1733–1742, 2015.
Burnham, K. P. and Anderson, D. R.: Model selection and multimodel inference:
a practical information-theoretic approach, Springer Science & Business
Media, New York, USA, 2003.
Csorgo, S. and Faraway, J. J.: The exact and asymptotic distributions of
Cramér-von Mises statistics, J. Roy. Stat. Soc. B, 58, 221–234,
1996.
Deligiannis, I., Dimitriadis, P., Daskalou, O., Dimakos, Y., and
Koutsoyiannis, D.: Global investigation of double periodicity of hourly wind
speed for stochastic simulation; application in Greece, Enrgy. Proced., 97,
278–285, 2016.
Delignette-Muller, M. L. and Dutang, C.: fitdistrplus: An R package for
fitting distributions, J. Stat. Softw., 64, 1–34, 2015.
Dimitriadis, P.: Hurst-Kolmogorov dynamics in hydrometeorological processes
and in the mircoscale turbulence, PhD thesis, National Technical University
of Athens, Athens, Greece, 167 pp., 2017.
Dimitriadis, P. and Koutsoyiannis, D.: Climacogram versus autocovariance and
power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov
processes, Stoch. Env. Res. Risk A., 29, 1649–1669, 2015a.
Dimitriadis, P. and Koutsoyiannis, D.: Application of stochastic methods to
double cyclostationary processes for hourly wind speed simulation, Enrgy.
Proced., 76, 406–411, 2015b.
Dimitriadis, P. and Koutsoyiannis, D.: Stochastic synthesis approximating any
process dependence and distribution, Stoch. Env. Res. Risk A., 32,
1493–1515, 2018.
Ettoumi, F. Y., Mefti, A., Adane, A., and Bouroubi, M. Y.: Statistical
analysis of solar measurements in Algeria using beta distributions, Renew.
Energ., 26, 47–67, 2002.
Harrouni, S., Guessoum, A., and Maafi, A.: Classification of daily solar
irradiation by fractional analysis of 10-min-means of solar irradiance,
Theor. Appl. Climatol., 80, 27–36, 2005.
Hollands, K. G. T. and Huget, R. G.: A probability density function for the
clearness index, with applications, Sol. Energy, 30, 195–209, 1983.
Jones, M. C.: Kumaraswamy's distribution: A beta-type distribution with some
tractability advantages, Stat. Methodol., 6, 70–81, 2009.
Jurado, M., Caridad, J. M., and Ruiz, V.: Statistical distribution of the
clearness index with radiation data integrated over five minute intervals,
Sol. Energy, 55, 469–473, 1995.
Koudouris, G., Dimitriadis, P., Iliopoulou, T., Mamassis, N., and
Koutsoyiannis, D.: Investigation on the stochastic nature of the solar
radiation process, Enrgy. Proced., 125, 398–404, 2017.
Koutsoyiannis, D.: The Hurst phenomenon and fractional Gaussian noise made
easy, Hydrolog. Sci. J., 47, 573–595, 2002.
Koutsoyiannis, D.: HESS Opinions “A random walk on water”, Hydrol. Earth
Syst. Sci., 14, 585–601, https://doi.org/10.5194/hess-14-585-2010, 2010.
Koutsoyiannis, D.: Hurst–Kolmogorov dynamics as a result of extremal entropy
production, Physica A, 390, 1424–143, 2011.
Koutsoyiannis, D., Yao, H.. and Georgakakos, A.: Medium-range flow prediction
for the Nile: a comparison of stochastic and deterministic methods, Hydrolog.
Sci. J., 53, 142–164, 2008.
Marsaglia, G. and Marsaglia, J.: Evaluating the anderson-darling
distribution, J. Stat. Softw., 9, 1–5, 2004.
Moschos, E., Manou, G., Dimitriadis, P., Afentoulis, V., Koutsoyiannis, D.,
and Tsoukala, V. K.: Harnessing wind and wave resources for a Hybrid
Renewable Energy System in remote islands: a combined stochastic and
deterministic approach, Enrgy. Proced., 125, 415–424, 2017.
Pizarro, A., Dimitriadis, P., Chalakatevaki, M., Samela, C., Manfreda, S.,
and Koutsoyiannis, D.: An integrated stochastic model of the river discharge
process with emphasis on floods and bridge scour, European Geosciences Union
General Assembly 2018, vol. 20, 11 April 2018, Vienna, Austria, EGU2018-8271,
2018.
Reno, M. J., Hansen, C. W., and Stein, J. S.: Global horizontal irradiance
clear sky models: Implementation and analysis, Tech. Rep. SAND2012-2389,
Sandia National Laboratories, Albuquerque, New Mexico and Livermore,
California, USA, 2012.
RDC Team (R Development Core Team): R: A Language and Environment for
Statistical Computing, R Foundation for Statistical Computing, Vienna,
Austria, 2006.
Tovar-Pescador, J.: Modelling the statistical properties of solar radiation
and proposal of a technique based on boltzmann statistics, in: Modeling Solar
Radiation at the Earth's Surface, Springer, Berlin, Heidelberg, Germany,
55–91, 2008.
Tsekouras, G. and Koutsoyiannis, D.: Stochastic analysis and simulation of
hydrometeorological processes associated with wind and solar energy, Renew.
Energ., 63, 624–633, 2014.
Yee, T. W.: Vector generalized linear and additive models: with an
implementation in R, Springer, New York, USA, 2015.
Short summary
The aim of this work is to investigate the stochastic nature and time evolution of the solar radiation process for daily and hourly scale, with the ultimate goal of creating a new cyclostationary stochastic model capable of reproducing the dependence structure and the marginal distribution of hourly solar radiation via the clearness index KT.
The aim of this work is to investigate the stochastic nature and time evolution of the solar...