PREDICTION OF ANNUAL ENERGY PRODUCTION FROM PV STRING UNDER MISMATCH CONDITION DUE TO LONG-TERM DEGRADATION

Miodrag Forcan

DOI Number
-
First page
63
Last page
74

Abstract


Reduction of long-term degradation effects represents a long-time challenge in photovoltaic (PV) manufacturing industry. Modelling of long-term degradation types and their impact on maximum power of PV systems have been analysed in this article. Brief guidelines for PV cell-based modelling of PV systems have been illustrated. Special study case, PV string consisting of 12 PV modules, has been modelled in order to determine degradation and mismatch power losses. Modified methodology for prediction of annual energy production from PV string, based on horizontal irradiation and ambient temperature experimental measurements at the location of Belgrade, has been developed. Coefficient named “degradation factor” has been introduced to include and validate degradation power losses. Economic considerations have indicated evident money income reduction, as a consequence of lower annual energy production related to long-term degradation.

Full Text:

PDF

References


M, Jošt and M. Topič, “Efficiency limits in photovoltaics – case of single junction solar cells”, Facta Universitatis, Series: Electronics and Energetics, Vol. 27, No 4, December 2014, pp. 631 - 638.

Y. Georgiev at al., “The photovoltaic behavior of vacuum deposited diphenyl-diketo-pyrrolopyrrole polymer”, Facta Universitatis, Series: Electronics and Energetics, Vol. 27, No 4, December 2014, pp. 639 - 648.

O. Perpinan at al., “On the calculation of energy produced by PV grid-connected system”, Progress in Photovoltaics Research and Applications, vol. 15, issue: 3, 2007, pp. 265-274.

M. Brabec at al., “Statistical modeling of energy production by photovoltaic farms”, In Proceedings of the IEEE Electrical Power Energy Conference, 2010, c. pp. 1-6.

O. Perpinan, “Statistical analysis of performance and simulation of two axis tracking PV system”, Solar Energy, vol. 83, issue 11, November 2009, pp. 2074-2085.

S. Jiang at al., “Encapsulation of PV Modules Using Ethylene Vinyl Acetate Copolymer as the Encapsulant”, Macromol. React. Eng., 9, 2015, pp. 522–529.

T. Shioda (2017, January 1), “Delamination failures in long-term field-aged PV modules from point of view of encapsulant”, Lecture presented at 2013 NREL PV Module Reliability Workshop, Denver. Retrieved from https://energy.gov/sites/prod/files/2014/01/f7/pvmrw13_openingsession_shioda_mitsui.pdf

Dirk C. Jordan, John H. Wohlgemuth, and Sarah R. Kurtz, “Technology and Climate Trends in PV Module Degradation”, in Proceedings of the 27 th European Photovoltaic Solar Energy Conference and Exhibition, 2012, pp. 3118-3124.

M. Kempe, “Modelling of rates of moisture ingress into photovoltaic modules”, Solar Energy Materials & Solar Cells, vol. 90, issue: 16, 2006, pp. 2720–2738.

M. Kempe, “Ultraviolet test and evaluation methods for encapsulants of photovoltaic modules”, Solar Energy Materials & Solar Cells, vol. 94, issue: 2, 2010, pp. 246–253.

A. Ndiaye at al., “Degradations of silicon photovoltaic modules: A literature review”, Solar Energy, vol. 96, 2013, pp. 140–151.

M. Forcan, “Prediction of Energy Production from String PV System under Mismatch Condition,” In Proceedings of the 2th Virtual International Conference on Science, Technology and Management in Energy - eNergetics 2016, pp. 3-9.

D. Sera, et al., “PV panel model based on datasheet values”, In Proceedings of the IEEE International Symposium on Industrial Electronics, 2007, pp. 2392–2396.

S. Bensalem and M. Chegaar, “Thermal behavior of parasitic resistances of polycrystalline silicon solar cells”, Revue des Energies Renouvelables, vol. 15, 2013, pp. 171-176.

M.L.Priyanka and S.N. Singh, “A new method of determination of series and shunt resistances of silicon solar cells”, Solar Energy Materials & Solar Cells, vol. 91, January 2007, pp. 137–142.

D. Macdonald and A. Cuevas, “Reduced fill factors in multicrystalline silicon solar cells due to injection-level dependent bulk recombination lifetimes”, Progress in Photovoltaics: Research and Applications, vol. 8, 2000, pp. 363–375.

MATLAB/Simulink. MathWorks, Inc. Natick. Massachusetts. United States.

PV module data sheet, available online at http://www.suntellite.cn/en/product/suntellite-module-polycrystalline-20.html

R. Dubey at al., “All India Survey of Photovoltaic Module Degradation 2013”, National Centre for Photovoltaic Research and Education, Mumbai, India, 2014, available online at http://www.ncpre.iitb.ac.in/pages/publications_reports.html

G. M. Masters, Renewable and Efficient Electric Power Systems, John Wiley & Sons, 2004, Chapter 7-8.


Refbacks

  • There are currently no refbacks.


ISSN: 0353-3670