Autors: Stankov, B. N., Terziev, A. K., Vassilev, M. P., Ivanov, M. P.
Title: Influence of Wind and Rainfall on the Performance of a Photovoltaic Module in a Dusty Environment
Keywords: multicrystalline silicon, photovoltaics, pvlib, rainfall, soiling, solar, weather, wind

Abstract: This study presents an analysis of the influence of weather conditions on the performance of a multicrystalline silicon photovoltaic module, which operates under constant resistive load and is situated near a limestone quarry. The quarry is a significant source of dust, and hence the focus of the study is on the weather factors influencing the presence of soiling on the module’s surface. The analysis encompasses a three-week period, during which the global horizontal irradiance and wind speed were recorded at 10-min intervals by an on-site weather station. The current, voltage, and back temperature of the module were also measured. Supplementary weather data were obtained from the Copernicus Atmosphere Monitoring Service and the NASA POWER databases. The primary objective is to assess whether any influence of the observed weather conditions on the presence of soiling can be inferred from the recorded data. The contribution is in part intended to test how different techniques can be used to extract useful information on the weather-related effects from somewhat limited data, assembled from various sources, while dealing with the underlying uncertainties. The analysis indicates a persistent deterioration of the module’s performance because of soiling and its subsequent improvement due to a favourable weather event.

References

  1. Kruitwagen L. Story K.T. Friedrich J. Byers L. Skillman S. Hepburn C. A global inventory of photovoltaic solar energy generating units Nature 2021 598 604 610 10.1038/s41586-021-03957-7 34707304
  2. Haegel N.M. Verlinden P. Victoria M. Altermatt P. Atwater H. Barnes T. Breyer C. Case C. Wolf S.D. Deline C. et al. Photovoltaics at multi-terawatt scale: Waiting is not an option Science 2023 380 39 42 10.1126/science.adf6957
  3. Borah P. Micheli L. Sarmah N. Analysis of Soiling Loss in Photovoltaic Modules: A Review of the Impact of Atmospheric Parameters, Soil Properties, and Mitigation Approaches Sustainability 2023 15 6669 10.3390/su152416669
  4. Li X. Mauzerall D.L. Bergin M.H. Global reduction of solar power generation efficiency due to aerosols and panel soiling Nat. Sustain. 2020 3 720 727 10.1038/s41893-020-0553-2
  5. Jaxa-Rozen M. Trutnevyte E. Sources of uncertainty in long-term global scenarios of solar photovoltaic technology Nat. Clim. Chang. 2021 11 266 273 10.1038/s41558-021-00998-8
  6. Haegel N.M. Atwater H. Barnes T. Breyer C. Burrell A. Chiang Y.M. Wolf S.D. Dimmler B. Feldman D. Glunz S. et al. Terawatt-scale photovoltaics: Transform global energy Science 2019 364 836 838 10.1126/science.aaw1845 31147512
  7. Shukla A.K. Sudhakar K. Baredar P. Recent advancement in BIPV product technologies: A review Energy Build. 2017 140 188 195 10.1016/j.enbuild.2017.02.015
  8. Naderi M. Palmer D. Smith M.J. Ballantyne E.E.F. Stone D.A. Foster M.P. Gladwin D.T. Khazali A. Al-Wreikat Y. Cruden A. et al. Techno-Economic Planning of a Fully Renewable Energy-Based Autonomous Microgrid with Both Single and Hybrid Energy Storage Systems Energies 2024 17 788 10.3390/en17040788
  9. Fikiin K. Stankov B. Integration of Renewable Energy in Refrigerated Warehouses Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies IGI Global Hershey, PA, USA 2015 803 853 10.4018/978-1-4666-8398-3.ch022
  10. Walczewski M.J. Wöhrle H. Prediction of Electricity Generation Using Onshore Wind and Solar Energy in Germany Energies 2024 17 844 10.3390/en17040844
  11. Feron S. Cordero R.R. Damiani A. Jackson R.B. Climate change extremes and photovoltaic power output Nat. Sustain. 2021 4 270 276 10.1038/s41893-020-00643-w
  12. Van de Ven D.J. Capellan-Peréz I. Arto I. Cazcarro I. de Castro C. Patel P. Gonzalez-Eguino M. The potential land requirements and related land use change emissions of solar energy Sci. Rep. 2021 11 2907 10.1038/s41598-021-82042-5 33536519
  13. Sills J. Serrano D. Margalida A. Pérez-García J.M. Juste J. Traba J. Valera F. Carrete M. Aihartza J. Real J. et al. Renewables in Spain threaten biodiversity Science 2020 370 1282 1283 10.1126/science.abf6509
  14. Ortiz A. Negandhi D. Mysorekar S.R. Nagaraju S.K. Kiesecker J. Robinson C. Bhatia P. Khurana A. Wang J. Oviedo F. et al. An Artificial Intelligence Dataset for Solar Energy Locations in India Sci. Data 2022 9 497 10.1038/s41597-022-01499-9 35974002
  15. Bao K. Thrän D. Schröter B. Land resource allocation between biomass and ground-mounted PV under consideration of the food–water–energy nexus framework at regional scale Renew. Energy 2023 203 323 333 10.1016/j.renene.2022.12.027
  16. Rodziewicz T. Rajfur M. Teneta J. Świsłowski P. Wacławek M. Modelling and analysis of the influence of solar spectrum on the efficiency of photovoltaic modules Energy Rep. 2021 7 565 574 10.1016/j.egyr.2021.01.013
  17. Polman A. Knight M. Garnett E.C. Ehrler B. Sinke W.C. Photovoltaic materials: Present efficiencies and future challenges Science 2016 352 aad4424 10.1126/science.aad4424
  18. Daxini R. Wu Y. Review of methods to account for the solar spectral influence on photovoltaic device performance Energy 2024 286 129461 10.1016/j.energy.2023.129461
  19. Nazir S. Ali A. Aftab A. Muqeet H.A. Mirsaeidi S. Zhang J.M. Techno-Economic and Environmental Perspectives of Solar Cell Technologies: A Comprehensive Review Energies 2023 16 4959 10.3390/en16134959
  20. Honsberg C. Bowden S. Photovoltaics Education Website 2019 Available online: https://www.pveducation.org (accessed on 5 April 2024)
  21. Löper P. Pysch D. Richter A. Hermle M. Janz S. Zacharias M. Glunz S. Analysis of the Temperature Dependence of the Open-Circuit Voltage Energy Procedia 2012 27 135 142 10.1016/j.egypro.2012.07.041
  22. Skoplaki E. Palyvos J. On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations Sol. Energy 2009 83 614 624 10.1016/j.solener.2008.10.008
  23. Nižetić S. Grubišić- Čabo F. Marinić-Kragić I. Papadopoulos A. Experimental and numerical investigation of a backside convective cooling mechanism on photovoltaic panels Energy 2016 111 211 225 10.1016/j.energy.2016.05.103
  24. Goverde H. Goossens D. Govaerts J. Catthoor F. Baert K. Poortmans J. Driesen J. Spatial and temporal analysis of wind effects on PV modules: Consequences for electrical power evaluation Sol. Energy 2017 147 292 299 10.1016/j.solener.2016.12.002
  25. Rossa C. Energy losses in photovoltaic generators due to wind patterns Commun. Eng. 2023 2 66 10.1038/s44172-023-00119-7
  26. Waterworth D. Armstrong A. Southerly winds increase the electricity generated by solar photovoltaic systems Sol. Energy 2020 202 123 135 10.1016/j.solener.2020.03.085
  27. Kaplani E. Kaplanis S. Thermal modelling and experimental assessment of the dependence of PV module temperature on wind velocity and direction, module orientation and inclination Sol. Energy 2014 107 443 460 10.1016/j.solener.2014.05.037
  28. Ghabuzyan L. Pan K. Fatahi A. Kuo J. Baldus-Jeursen C. Thermal Effects on Photovoltaic Array Performance: Experimentation, Modeling, and Simulation Appl. Sci. 2021 11 1460 10.3390/app11041460
  29. Sharples S. Charlesworth P. Full-scale measurements of wind-induced convective heat transfer from a roof-mounted flat plate solar collector Sol. Energy 1998 62 69 77 10.1016/S0038-092X(97)00119-9
  30. Segbefia O.K. Imenes A.G. Sætre T.O. Moisture ingress in photovoltaic modules: A review Sol. Energy 2021 224 889 906 10.1016/j.solener.2021.06.055
  31. Mekhilef S. Saidur R. Kamalisarvestani M. Effect of dust, humidity and air velocity on efficiency of photovoltaic cells Renew. Sustain. Energy Rev. 2012 16 2920 2925 10.1016/j.rser.2012.02.012
  32. Jordan D.C. Perry K. White R. Deline C. Extreme Weather and PV Performance IEEE J. Photovolt. 2023 13 830 835 10.1109/JPHOTOV.2023.3304357
  33. Bošnjaković M. Stojkov M. Katinić M. Lacković I. Effects of Extreme Weather Conditions on PV Systems Sustainability 2023 15 6044 10.3390/su152216044
  34. Ammari N. Mehdi M. Alami Merrouni A. El Gallassi H. Chaabelasri E. Ghennioui A. Experimental study on the impact of soiling on the modules temperature and performance of two different PV technologies under hot arid climate Heliyon 2022 8 e11395 10.1016/j.heliyon.2022.e11395 36387428
  35. Kaldellis J. Fragos P. Kapsali M. Systematic experimental study of the pollution deposition impact on the energy yield of photovoltaic installations Renew. Energy 2011 36 2717 2724 10.1016/j.renene.2011.03.004
  36. Kaldellis J. Kapsali M. Simulating the dust effect on the energy performance of photovoltaic generators based on experimental measurements Energy 2011 36 5154 5161 10.1016/j.energy.2011.06.018
  37. Mustafa R.J. Gomaa M.R. Al-Dhaifallah M. Rezk H. Environmental Impacts on the Performance of Solar Photovoltaic Systems Sustainability 2020 12 608 10.3390/su12020608
  38. Nezamisavojbolaghi M. Davodian E. Bouich A. Tlemçani M. Mesbahi O. Janeiro F.M. The Impact of Dust Deposition on PV Panels’ Efficiency and Mitigation Solutions: Review Article Energies 2023 16 8022 10.3390/en16248022
  39. Klugmann-Radziemska E. Degradation of electrical performance of a crystalline photovoltaic module due to dust deposition in northern Poland Renew. Energy 2015 78 418 426 10.1016/j.renene.2015.01.018
  40. Maghami M.R. Hizam H. Gomes C. Radzi M.A. Rezadad M.I. Hajighorbani S. Power loss due to soiling on solar panel: A review Renew. Sustain. Energy Rev. 2016 59 1307 1316 10.1016/j.rser.2016.01.044
  41. Ghazi S. Ip K. The effect of weather conditions on the efficiency of PV panels in the southeast of UK Renew. Energy 2014 69 50 59 10.1016/j.renene.2014.03.018
  42. Ilse K. Micheli L. Figgis B.W. Lange K. Daßler D. Hanifi H. Wolfertstetter F. Naumann V. Hagendorf C. Gottschalg R. et al. Techno-Economic Assessment of Soiling Losses and Mitigation Strategies for Solar Power Generation Joule 2019 3 2303 2321 10.1016/j.joule.2019.08.019
  43. Alkharusi T. Huang G. Markides C.N. Characterisation of soiling on glass surfaces and their impact on optical and solar photovoltaic performance Renew. Energy 2024 220 119422 10.1016/j.renene.2023.119422
  44. Sarver T. Al-Qaraghuli A. Kazmerski L.L. A comprehensive review of the impact of dust on the use of solar energy: History, investigations, results, literature, and mitigation approaches Renew. Sustain. Energy Rev. 2013 22 698 733 10.1016/j.rser.2012.12.065
  45. Appels R. Muthirayan B. Beerten A. Paesen R. Driesen J. Poortmans J. The effect of dust deposition on photovoltaic modules Proceedings of the 2012 38th IEEE Photovoltaic Specialists Conference Austin, TX, USA 3–8 June 2012 1886 1889 10.1109/PVSC.2012.6317961
  46. Zahedi R. Ranjbaran P. Gharehpetian G.B. Mohammadi F. Ahmadiahangar R. Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives Energies 2021 14 2018 10.3390/en14072018
  47. Brahma H. Pant S. Micheli L. Smestad G.P. Sarmah N. Effect of Environmental Factors on Photovoltaic Soiling: Experimental and Statistical Analysis Energies 2023 16 45 10.3390/en16010045
  48. Javed W. Guo B. Figgis B. Martin Pomares L. Aïssa B. Multi-year field assessment of seasonal variability of photovoltaic soiling and environmental factors in a desert environment Sol. Energy 2020 211 1392 1402 10.1016/j.solener.2020.10.076
  49. Del Pero C. Aste N. Leonforte F. The effect of rain on photovoltaic systems Renew. Energy 2021 179 1803 1814 10.1016/j.renene.2021.07.130
  50. Picotti G. Borghesani P. Cholette M. Manzolini G. Soiling of solar collectors—Modelling approaches for airborne dust and its interactions with surfaces Renew. Sustain. Energy Rev. 2018 81 2343 2357 10.1016/j.rser.2017.06.043
  51. Amer Dahham I. Mohd Zainuri M.A.A. Abdullah A.A. Fauzan M.F. Modeling the Effect of Dust and Wind Speed on Solar Panel Performance in Iraq Energies 2023 16 6397 10.3390/en16176397
  52. Goossens D. Van Kerschaever E. Aeolian dust deposition on photovoltaic solar cells: The effects of wind velocity and airborne dust concentration on cell performance Sol. Energy 1999 66 277 289 10.1016/S0038-092X(99)00028-6
  53. Jiang Y. Lu L. Ferro A.R. Ahmadi G. Analyzing wind cleaning process on the accumulated dust on solar photovoltaic (PV) modules on flat surfaces Sol. Energy 2018 159 1031 1036 10.1016/j.solener.2017.08.083
  54. Mani M. Pillai R. Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations Renew. Sustain. Energy Rev. 2010 14 3124 3131 10.1016/j.rser.2010.07.065
  55. Said S.A. Walwil H.M. Fundamental studies on dust fouling effects on PV module performance Sol. Energy 2014 107 328 337 10.1016/j.solener.2014.05.048
  56. Figgis B. Ennaoui A. Ahzi S. Rémond Y. Review of PV soiling particle mechanics in desert environments Renew. Sustain. Energy Rev. 2017 76 872 881 10.1016/j.rser.2017.03.100
  57. Ramirez-Vergara J. Bosman L.B. Wollega E. Leon-Salas W.D. Review of forecasting methods to support photovoltaic predictive maintenance Clean. Eng. Technol. 2022 8 100460 10.1016/j.clet.2022.100460
  58. Araujo Costa Silva L. Baca Ruiz L.G. Criado-Ramón D. Gabriel Bessa J. Micheli L. del Carmen Pegalajar Jiménez M. Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques Expert Syst. Appl. 2023 231 120816 10.1016/j.eswa.2023.120816
  59. Bosman L.B. Leon-Salas W.D. Hutzel W. Soto E.A. PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities Energies 2020 13 1398 10.3390/en13061398
  60. Bessa J.G. Micheli L. Almonacid F. Fernández E.F. Monitoring photovoltaic soiling: Assessment, challenges, and perspectives of current and potential strategies iScience 2021 24 102165 10.1016/j.isci.2021.102165 33748700
  61. Duffie J.A. Beckman W.A. Blair N. Design of Photovoltaic Systems Solar Engineering of Thermal Processes, Photovoltaics and Wind Wiley Hoboken, NJ, USA 2020 10.1002/9781119540328.ch23
  62. Dobos A.P. An Improved Coefficient Calculator for the California Energy Commission 6 Parameter Photovoltaic Module Model J. Sol. Energy Eng. 2012 134 021011 10.1115/1.4005759
  63. Andrews R.W. Stein J.S. Hansen C. Riley D. Introduction to the open source PV LIB for python Photovoltaic system modelling package Proceedings of the 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC) Denver, CO, USA 8–13 June 2014 170 174 10.1109/PVSC.2014.6925501
  64. Anderson K.S. Hansen C.W. Holmgren W.F. Jensen A.R. Mikofski M.A. Driesse A. pvlib python: 2023 project update J. Open Source Softw. 2023 8 5994 10.21105/joss.05994
  65. NASA Prediction of Worldwide Energy Resources (POWER) Available online: https://power.larc.nasa.gov (accessed on 1 April 2024)
  66. CAMS Solar Radiation Time-Series Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS) Available online: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-solar-radiation-timeseries?tab=overview (accessed on 5 April 2024)
  67. Qu Z. Oumbe A. Blanc P. Espinar B. Gesell G. Gschwind B. Klüser L. Lefèvre M. Saboret L. Schroedter-Homscheidt M. et al. Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method Meteorol. Z. 2017 26 33 57 10.1127/metz/2016/0781
  68. Schroedter-Homscheidt M. Azam F. Betcke J. Hanrieder N. Lefèvre M. Saboret L. Saint-Drenan Y.M. Surface solar irradiation retrieval from MSG/SEVIRI based on APOLLO Next Generation and HELIOSAT-4 methods Meteorol. Z. 2022 31 455 476 10.1127/metz/2022/1132
  69. Gschwind B. Wald L. Blanc P. Lefèvre M. Schroedter?Homscheidt M. Arola A. Improving the McClear model estimating the downwelling solar radiation at ground level in cloud?free conditions—McClear-v3 Meteorol. Z. 2019 28 147 163 10.1127/metz/2019/0946
  70. Lefèvre M. Oumbe A. Blanc P. Espinar B. Gschwind B. Qu Z. Wald L. Schroedter-Homscheidt M. Hoyer-Klick C. Arola A. et al. McClear: A new model estimating downwelling solar radiation at ground level in clear-sky conditions Atmos. Meas. Tech. 2013 6 2403 2418 10.5194/amt-6-2403-2013
  71. Erbs D. Klein S. Duffie J. Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation Sol. Energy 1982 28 293 302 10.1016/0038-092X(82)90302-4
  72. Kasten F. Young A.T. Revised optical air mass tables and approximation formula Appl. Optics 1989 28 4735 4738 10.1364/AO.28.004735
  73. Osterwald C.R. Adelstein J. del Cueto J.A. Sekulic W. Trudell D. McNutt P. Hansen R. Rummel S. Anderberg A. Moriarty T. Resistive loading of photovoltaic modules and arrays for long-term exposure testing Prog. Photovolt. Res. Appl. 2006 14 567 575 10.1002/pip.693
  74. Harris C.R. Millman K.J. van der Walt S.J. Gommers R. Virtanen P. Cournapeau D. Wieser E. Taylor J. Berg S. Smith N.J. et al. Array programming with NumPy Nature 2020 585 357 362 10.1038/s41586-020-2649-2
  75. The Pandas Development Team Pandas-Dev/Pandas: Pandas 2023 Available online: https://zenodo.org/records/10957263 (accessed on 1 April 2024)
  76. McKinney W. Data Structures for Statistical Computing in Python Proceedings of the 9th Python in Science Conference Austin, TX, USA 28 June–3 July 2010 56 61 10.25080/Majora-92bf1922-00a
  77. McKinney W. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter O’Reilly Sebastopol, CA, USA 2022
  78. Hunter J.D. Matplotlib: A 2D graphics environment Comput. Sci. Eng. 2007 9 90 95 10.1109/MCSE.2007.55
  79. Waskom M.L. seaborn: Statistical data visualization J. Open Source Softw. 2021 6 3021 10.21105/joss.03021
  80. Virtanen P. Gommers R. Oliphant T.E. Haberland M. Reddy T. Cournapeau D. Burovski E. Peterson P. Weckesser W. Bright J. et al. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python Nat. Methods 2020 17 261 272 10.1038/s41592-019-0686-2
  81. Hastie T. Tibshirani R. Friedman J. Basis Expansions and Regularization The Elements of Statistical Learning: Data Mining, Inference, and Prediction Springer New York, NY, USA 2009 139 189 10.1007/978-0-387-84858-7_5
  82. Seabold S. Perktold J. statsmodels: Econometric and statistical modeling with Python Proceedings of the 9th Python in Science Conference Austin, TX, USA 28 June–3 July 2010 92 96 10.25080/MAJORA-92BF1922-011
  83. Cleveland R.B. Cleveland W.S. McRae J.E. Terpenning I. STL: A seasonal-trend decomposition procedure based on Loess J. Off. Stat. 1990 6 3 73
  84. Pedregosa F. Varoquaux G. Gramfort A. Michel V. Thirion B. Grisel O. Blondel M. Prettenhofer P. Weiss R. Dubourg V. et al. Scikit-learn: Machine Learning in Python J. Mach. Learn. Res. 2011 12 2825 2830
  85. Greenacre M. Groenen P.J.F. Hastie T. D’Enza A.I. Markos A. Tuzhilina E. Principal component analysis Nat. Rev. Methods Prim. 2022 2 100 10.1038/s43586-022-00184-w
  86. Faizi N. Alvi Y. Chapter 6—Correlation Biostatistics Manual for Health Research Faizi N. Alvi Y. Academic Press Cambridge, MA, USA 2023 109 126 10.1016/B978-0-443-18550-2.00002-5
  87. Orioli A. Di Gangi A. A Criterion for Rating the Usability and Accuracy of the One-Diode Models for Photovoltaic Modules Energies 2016 9 427 10.3390/en9060427
  88. Mihaylov B. Betts T.R. Pozza A. Müllejans H. Gottschalg R. Uncertainty Estimation of Temperature Coefficient Measurements of PV Modules IEEE J. Photovolt. 2016 6 1554 1563 10.1109/JPHOTOV.2016.2598259
  89. Feuermann D. Zemel A. Dust-induced degradation of pyranometer sensitivity Sol. Energy 1993 50 483 486 10.1016/0038-092X(93)90109-2
  90. Geuder N. Quaschning V. Soiling of irradiation sensors and methods for soiling correction Sol. Energy 2006 80 1402 1409 10.1016/j.solener.2006.06.001
  91. Ghosh A. Soiling Losses: A Barrier for India’s Energy Security Dependency from Photovoltaic Power Challenges 2020 11 9 10.3390/challe11010009
  92. Cleveland W.S. Robust Locally Weighted Regression and Smoothing Scatterplots J. Am. Stat. Assoc. 1979 74 829 836 10.1080/01621459.1979.10481038

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Energies, vol. 17, 2024, , https://doi.org/10.3390/en17143394

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