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 EPE  Vol.12 No.6 , June 2020
Real-Time Performance Assessment of Operating Photovoltaic (PV) Systems
Abstract: A technology called solar energy is a very promising technique, and is considered as the cleanest and the most abundant renewable resource that is naturally available every day. In this paper, a MATLAB environment has been developed to calculate real-time power incidence on a PV system. It takes into account the time, location, PV tilt, and azimuth angles, and weather conditions to estimate incident power. In this paper, one case study is considered at New York State location. It has been applied to a newly installed 8 kW residential system located in Inwood. The solar panels are made up of silicon HIT (Heterojunction with Intrinsic Thin Layer) cells by Panasonic and solar cell rated at 19%. The result shows that the system is performing at its rated efficiency. The calculations involve the determination of direct, diffused and reflected radiation on the panels taking into account the time of the day, location, PV area, and orientations and weather conditions. The cloudiness index may be estimated based on the weather data and included in the calculations. After performing the irradiance calculations, the output power is estimated based on the rated efficiency at its temperature and compared with the generated output power. The real-time assessment of a PV system performance, during the operational time monitors the health of the PV system. The data obtained by this calculator may accompany production data provided to the consumer by the utility company.
Cite this paper: ALzahrani, A. and Zohdy, M. (2020) Real-Time Performance Assessment of Operating Photovoltaic (PV) Systems. Energy and Power Engineering, 12, 339-347. doi: 10.4236/epe.2020.126020.
References

[1]   Dincer, I. and Acar, C. (2018) Potential Energy Solutions for Better Sustainability. In: Dincer, I., Colpan, C.O. and Kizilkan, O., Eds., Exergetic, Energetic and Environmental Dimensions, Academic Press, London, 3-37.
https://doi.org/10.1016/b978-0-12-813734-5.00001-9

[2]   Nidumolu, R., Prahalad, C.K. and Rangaswami, M.R. (2009) Why Sustainability Is Now the Key Driver of Innovation. Harvard Business Review, 87, 56-64.
https://doi.org/10.1109/emr.2015.7123233

[3]   Green, M.A., Emery, K., Hishikawa, Y., Warta, W. and Dunlop, E.D. (2012) Solar Cell Efficiency Tables (Version 40). Progress in Photovoltaics: Research and Applications, 20, 606-614.
https://doi.org/10.1002/pip.2267

[4]   Nishioka, K., Shimakage, T., Yamane, H., Kudo, M. and Ueda, Y. (2010) Evaluation of output Performance of Various Photovoltaic Systems in the Hokuto Mega-Solar Project. 32nd International Telecommunications Energy Conference (INTELEC), Orlando, FL, 6-10 June 2010, 1-7.
https://doi.org/10.1109/intlec.2010.5525661

[5]   Kim, Y.-B. and Song, B.-S. (2018) A Study on Module-based Power Compensation Technology for Minimizing Solar Power Loss due to Shaded Area. The Journal of the Korea Institute of Electronic Communication Sciences, 13, 539-546.

[6]   Alsadi, S.Y. and Nassar, Y.F. (2019) A General Expression for the Shadow Geometry for Fixed Mode Horizontal, Step-Like Structure and Inclined Solar Fields. Solar Energy, 181, 53-69.
https://doi.org/10.1016/j.solener.2019.01.090

[7]   van Sark, W., et al. (2017) PV System Monitoring and Characterization. In: Reinders, A., Verlinden, P., van Sark, W. and Freundlich A., Eds., Photovoltaic Solar Energy, John Wiley & Sons Ltd., Chichester, 553.
https://doi.org/10.1002/9781118927496.ch49

[8]   Scharmer, K. and Greif, J. (2000) The European Solar Radiation Atlas Vol.1: Fundamentals and Maps. Les Presses del Ecole des Mines, Paris, 23-42.

[9]   Haberlin, H. (2012) Photovoltaics System Design and Practice. John Wiley & Sons, Chichester.

[10]   Kasten, F. and Young, A.T. (1989) Revised Optical Air Mass Tables and Approximation Formula. Applied Optics, 28, 4735-4738.

[11]   Fan, J., et al. (2019) Evaluation and Development of Empirical Models for Estimating Daily and Monthly Mean Daily Diffuse Horizontal Solar Radiation for Different Climatic Regions of China. Renewable and Sustainable Energy Reviews, 105, 168-186.
https://doi.org/10.1016/j.rser.2019.01.040

[12]   Alnasser, T.M.A., et al. (2020) Impact of Dust Ingredient on Photovoltaic Performance: An Experimental Study. Solar Energy, 195, 651-659.
https://doi.org/10.1016/j.solener.2019.12.008

 
 
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