Assessment and statistical analysis of global radiation by decomposing it to its direct and diffse components

Authors

  • S. PASHIARDIS Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology
  • S.A. KALOGIROU Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology and Founding Member of the Cyprus Academy of Sciences, Letters, and Arts

Keywords:

quality control of solar radiation, solar radiation indices , statistical analysis, isoline diagrams , modeling diffse radiation

Abstract

In this work, hourly measurements of global solar irradiances obtained from a pyranometer and direct normal irradiances obtained from sunshine duration sensor are assessed through an extensive quality control procedure and statistical analysis on the measured and derived solar parameters for a semimountainous location using data from the last fie years (2016-2020). This information and the method suggested concerning the solar energy capture systems and energy efficiency is useful for engineers who can therefore take knowledge of the local radiation levels. Furthermore, the direct horizontal irradiance can
be easily calculated and the diffuse component can be estimated from the difference of global and direct horizontal irradiances. Monthly mean hourly values of the radiation components are also estimated and shown through isolines diagrams. Representative values of global direct and diffuse irradiances for different times of the year and different hour of the day can be easily read from these diagrams. Simultaneously, a similar analysis is carried out over various solar indices estimated on both an hourly and daily basis. The derived solar indices are the clearness index for global, direct, and diffuse radiation as well as the diffuse and direct fractions from global radiation. The interrelationships between the said indices are also examined.
Additionally, the BRL (Boland-Ridley-Lauret) diffuse fraction model which is a multiple predictor logistic model was tested and can be used to estimate the diffuse and later the direct radiation component. The model is a function of clearness index (kt), the apparent solar time (AST), the solar altitude (αs), the daily clearness index (KT) and persistence parameter ψ which is an average of both a lag and lead of the clearness index. The outcome of the model shows that it can be used to estimate successfully the diffuse radiation.

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References

Badescu V., 2008. Modeling Solar Radiation at the Earth’s Surface. Recent Advances. Springer Verlag.

Bird R.E., Hulstrom R.L., 1981a. Reviews, evaluation and improvements of direct irradiance models. Trans. ASME J. Solar Energy 103, 182-192.

Bird R.E., Hulstrom R.L., 1981b. A simplifid clear sky model for direct and diffse insolation on horizontal surfaces.

Technical Report SERI/TR-642-761. Solar Research Institute, Golden, Colorado.

Bolland J., Ridley B., Brown B., 2008. Models of diffse solar radiation. Renewable Energy 33,4, 575-584.

Erbs DG., Klein SA. Duff JA., 1982. Estimation of the diffse radiation fraction for hourly, daily and monthly average

global radiation. Solar Energy 4, 293-302.

Estevez J., Gavilan P., Giraldez J.V., 2011. Guidelines on validation procedures for meteorological data from automatic

weather stations. J. Hydrol. 402, 144—154.

Gueymard C., 2004. Th sun’s total and spectral irradiance for solar energy applications and solar radiation models. Solar Energy 78, 423-453.

Gueymard C.A., 2008. REST2: High performance solar radiation model for cloudless sky irradiance, illuminance, and

photosynthetically active radiation- Validation with a benchmark dataset. Solar Energy 82, 3, 272-285.

Gueymard C.A., 2010. Progress in direct irradiance modeling and validation. Procc. ASES Annual Conf. Phoenix, AZ,

USA, 2010-ases.org.

Haurwitz B. 1945. Insolation in relation to cloudiness and cloud density. J. Meteorology 2, 154-166.

Hottel HC., 1976. A simple model for estimating the transmittance of direct solar radiation through clear atmospheres. Sol. Energy 18, 129-134.

Ianetz A., Lyubansky V., Setter I., Kriheli B., Evseev E., Kudish A.I., 2007. Inter-comparison of diffrent models for

estimating clear sky solar global radiation for the Negev region of Israel. Energy Conversion and Management 48,

-268.

Ineichen P., 2008. A broadband simplifid version of the Solis clear sky model. Solar Energy 82,8, 758-762.

Iqbal M., 1983. An Introduction to Solar Radiation. Academic Press, Toronto.

Kalogirou S.A., Pashiardis S., Pashiardi A., 2017. Statistical analysis and inter-comparison of the global solar radiation at two sites in Cyprus. Renewable Energy 101, 1102-1123.

Kudish A.I., Ianetz A., 1996. Analysis of daily clearness index, global, and beam radiation for Beer Sheva, Israel: Partition according to day type and statistical analysis. Energy Convers. Mgmt. Vol. 37, No. 4, 405-416.

Long C.N., Shi Y., 2008. An automated quality assessment and control algorithm for surface radiation measurements.

Open Atmos. Sci. J. 2, 23-37.

Lui BYH, Jordan RC., 1960. Th interrelationship and characteristic distribution of direct, diffse and total solar radiation.

Sol. Energy 4, 1-19.

Maxwell e.l., 1998. METSTAT-Th solar radiation model used in the production of the National Solar Radiation Data Base (NSRDB). Solar Energy 62, 4, 263-279.

McCree K.J., 1972. Test of current defiitions of photosynthetically active radiation against leaf photosynthesis data.

Agric. For. Meteorology 10, 443-453.

Myers D.R., 2013. Solar radiation . Practical Modeling for Renewable Energy Applications. CRC Press.

Orgill JF., Hollands KGT., 1977. Correlation equation for hourly diffse radiation on a horizontal surface. Solar Energy

, 357-359.

Pashiardis S., Kalogirou S.A., Pelengaris A., 2017. Statistical analysis for the characterization of solar energy utilization

and inter-comparison of solar radiation at two sites in Cyprus. Applied Energy 190, 1138-1158.

Ridley B., Boland J., Lauret P., 2010. Modelling of diffse solar fraction with multiple predictors. Renewable Energy 35,

-483.

Scharmer K., Greif J., 2000. Th European Solar Radiation Atlas. Vol. 1: Fundamentals and maps. Vol. 2: Database and

exploitation softare. Ecole des Mines de Paris.

Skartveit A., Olseth JH., Tuf ME., 1998. An hourly diffse fraction model with correction for variability and surface

albedo. Solar Energy 63, 3, 173-183.

Younes S., Claywell R., Muneer T., 2005. Quality control of solar radiation data: Present status and proposed new

approaches. Energy 30, 1533-1549.

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Published

2021-06-30

How to Cite

[1]
S. . PASHIARDIS and S. . KALOGIROU, “Assessment and statistical analysis of global radiation by decomposing it to its direct and diffse components”, jsesd, vol. 10, no. 1, pp. 34–64, Jun. 2021.

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