Numerical Procedures and their Practical Application in PV Module Analyses. Part IV: Atmospheric Transparency Parameters - Application

[1] Rodziewicz T, Teneta J, Zaremba A, Wacławek M. Analysis of solar energy resources in southern Poland for photovoltaic applications. Ecol Chem Eng S. 2013;20:177–98. DOI: 10.2478/eces-2013-0014.10.2478/eces-2013-0014Search in Google Scholar

[2] Chojnacki JA, Teneta J, Więckowski Ł. Development of PV systems and research studies on photovoltaic at the AGH University of Science and Technology in Krakow. Proc. 22^nd EC PV Solar Energy Conference. Krakow: 2007;3049–52. https://www.eupvsec-proceedings.com/.Search in Google Scholar

[3] Zdanowicz T, Prorok M, Kolodenny W, Roguszczak H. Outdoor data acquisition system with advanced database for PV modules characterization. 3^rd WCPEC. Osaka: 2003. http://www.pvsc-proceedings.org/.Search in Google Scholar

[4] Zdanowicz T, Roguszczak H. Automated outdoor data acquisition system for prolonged testing of PV modules. Proc 13^th EC PV Solar Energy Conference. Nice: 1995;2322–5. https://www.eupvsec-proceedings.com/.Search in Google Scholar

[5] Rodziewicz T. Rajfur M. Numerical procedures and their practical application in PV modules analyses. Part I: Air mass. Opto-Electron Rev. 2019;27:39–57. DOI: 10.1016/j.opelre.2019.02.002.10.1016/j.opelre.2019.02.002Search in Google Scholar

[6] Rodziewicz T., Rajfur M. Numerical procedures and their practical application in PV modules’ analyses. Part II: Useful fractions and APE. Opto-Electron Rev. 2019;27:149–60. DOI: 10.1016/j.opelre.2019.05.004.10.1016/j.opelre.2019.05.004Search in Google Scholar

[7] Rodziewicz T, Rajfur M. Numerical procedures and their practical application in PV module analyses. Part III: parameters of atmospheric transparency - determining and correlations. Opto-Electron Rev. 2020;28(1):15–34. DOI: 10.24425/opelre.2020.132499.10.2478/eces-2020-0001Search in Google Scholar

[8] IEC 60891, Procedures for temperature and irradiance corrections to measured I–V characteristics of cFigtalline silicon photovoltaic devices. IEC norm No. 60891 2^nd edition. 2009–12. https://www.iec.ch/search/?q=[17]IEC%2060891.Search in Google Scholar

[9] Blaesser G. PV System Measurements and Monitoring: The European Experience. 13–15 Nov. Proc. 9^th Intern. PV Sci Eng Conf. Miyazaki (Japan):1996);157–60. http://www.pvsc-proceedings.org.Search in Google Scholar

[10] Blaesser G. PV Array Data Translation Procedure. Proc. 13^th EC PVSEC. Nice: 1995;1520–3. https://www.eupvsec-proceedings.com/.Search in Google Scholar

[11] Corrs S, Böhm M. Validation and comparison of curve correction procedures for silicon solar cells. Proc 14^th EC PVSEC. Balcerona: 1997;220–3. https://www.eupvsec-proceedings.com/.Search in Google Scholar

[12] Marion B, Rummel S, Anderber A. Current-voltage translation by bilinear interpolation, Prog Photovolt Res Appl. 2004;12:593–607. DOI: 10.1002/pip.551.10.1002/pip.551Search in Google Scholar

[13] Piliougine M, Elizondo D, Mora López L, Sidrach-de-Cardona M. Modelling photovoltaic modules with neural networks using angle of incidence and clearness index. Prog Photovol Res Applicat. 2015;23(4):513–23. DOI: 10.1002/pip.2449.10.1002/pip.2449Search in Google Scholar

[14] Lai ChS, Li X, Lai LL, Mcculloch MD. Daily clearness index profiles and weather conditions studies for photovoltaic systems. Energy Procedia. 2017;142:77–82. DOI: 10.1016/j.egypro.2017.12.013.10.1016/j.egypro.2017.12.013Search in Google Scholar

[15] Coppolino S. A new correlation between clearness index and relative sunshine. Renew Energy. 1994;4(4):417. DOI: 10.1016/0960-1481(94)90049-3.10.1016/0960-1481(94)90049-3Search in Google Scholar

[16] Nemes C, Ciobanu R, Rugina C. Probabilistic analysis of Sky clearness index for solar energy systems planning. Proc. Smart Cities Symposium Prague. 2018;24–5. DOI: 10.1109/SCSP.2018.8402677.10.1109/SCSP.2018.8402677Search in Google Scholar

[17] Petrović I, Vražić M. Approach to advanced clearness index modelling. Int Energy Conf (ENERGYCON). Cavtat, Croatia; 2014. DOI: 10.1109/ENERGYCON.2014.6850538.10.1109/ENERGYCON.2014.6850538Search in Google Scholar

[18] Nunnari G. Forecasting the Class of Daily Clearness Index for PV Applications. 15^th Int Conf Informatics in Control, Automat Robotics. 2018;2:172–9. DOI: 10.5220/0006860801820189.10.5220/0006860801820189Search in Google Scholar

[19] Nakada Y, Takahashi H, Ichida K, Minemoto T. Influence of clearness index and air mass on sunlight and outdoor performance of photovoltaic modules. Current Appl Phys. 2010;10(2):261–4. DOI: 10.1016/j.cap.2009.11.026.10.1016/j.cap.2009.11.026Search in Google Scholar

[20] Takei R, Minemoto T, Yoshida S, Takakura H. Output energy estimation of Si-based photovoltaic modules using clearness index and air mass. Japan J Appl Phys. 2012;51:1–10. DOI: 10.1143/JJAP.51.10NF10.10.1143/JJAP.51.10NF10Search in Google Scholar

[21] Vasar C, Prostean G, Szeidert I. An analysis of diffuse solar radiation. 2016 IEEE 20^th Jubilee Int Conf Intelligent Eng Systems (INES). Budapest; 2016. DOI: 10.1109/INES.2016.7555112.10.1109/INES.2016.7555112Search in Google Scholar

[22] Ragot Ph, Desmettre D, Paes P, Royer D. Outdoor Testing of Photovoltaic Modules and Arrays, Seventh E.C. Photovoltaic Solar Energy Conf: Sevilla, Spain: 1986;279–86. DOI: 10.1007/978-94-009-3817-5_52.10.1007/978-94-009-3817-5_52Search in Google Scholar

[23] Kinsey GS. PV Module Performance Testing and Standards: From Fundamentals to Applications. In: Photovoltaic Solar Energy. Chichester, West Sussex. United Kingdom: John Wiley Sons; 2017:362–9. DOI: 10.1002/9781118927496.ch33.10.1002/9781118927496.ch33Search in Google Scholar

[24] Halambalakis G. Long-term outdoor testing of polycrystalline silicon and micromorph silicon thin-film tandem technology modules in Greece. Proc. 28^th EUPVSEC. Paris: 2013. https://www.eupvsec-proceedings.com/.Search in Google Scholar

[25] Erusiafe N, Chendo M, Obot N. Estimating Diffuse Solar Radiation from Global Solar Radiation. Proc EuroSun 2014. Aix-les-Bains, France; 2014. DOI: 10.18086/eurosun.2014.08.05.10.18086/eurosun.2014.08.05Search in Google Scholar

[26] Iqbal M. Estimation of the average diffuse component of the total solar radiation, Sun: Mankind's Future Source of Energy. Proc Int Solar Energy Society Congress. New Delhi, India; 1978:389–91. DOI: 10.1016/B978-1-4832-8407-1.50077-5.10.1016/B978-1-4832-8407-1.50077-5Search in Google Scholar

[27] Boland JW, Huang J, Ridley B. Decomposing global solar radiation into its direct and diffuse components. Renew Sustainable Energy Rev. 2013;28:749–56. DOI: 10.1016/j.rser.2013.08.023.10.1016/j.rser.2013.08.023Search in Google Scholar

[28] Lam JC, Li DHW. Correlation between global solar radiation and its direct and diffuse components. Build Environ. 1996;31(6):527–35. DOI: 10.1016/0360-1323(96)00026-1.10.1016/0360-1323(96)00026-1Search in Google Scholar