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On the temporal modelling of solar photovoltaic soiling: Energy and economic impacts in seven cities

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  • You, Siming
  • Lim, Yu Jie
  • Dai, Yanjun
  • Wang, Chi-Hwa

Abstract

This work developed a framework to predict the energy and economic impacts of solar photovoltaic soiling. This framework includes the effects of relative humidity, precipitation and tilt angle on solar photovoltaic soiling. A concept of relative net-present value change was introduced to determine the optimal cleaning interval. The uncertainties in the economic analysis were accounted for using a Monte Carlo simulation method. The framework was used to study the soiling-induced efficiency and economic losses of solar photovoltaic modules in seven cities (i.e. Taichung, Tokyo, Hami, Malibu, Sanlucar la Mayor, Doha, and Walkaway). Overall, the efficiency loss (in ascending order) for Tokyo/Walkaway < Taichung < Sanlucar la Mayor < Malibu/Hami < Doha for a one-year study period. Doha experiences an efficiency loss over 80% for a 140-day exposure, while Tokyo has an efficiency loss less than 4% for a one-year exposure. Malibu has longest optimal cleaning intervals (70 days for manual cleaning and 49 days for machine-assisted cleaning) that leads to the relative net-present value changes of 1.7% and 1.1%. Doha has the shortest optimal cleaning intervals (23 days for manual cleaning and 17 days for machine-assisted cleaning) that leads to the relative net-present value changes of 21% and 19%. The work serves as an effective tool for designing optimal cleaning protocols for solar photovoltaic systems.

Suggested Citation

  • You, Siming & Lim, Yu Jie & Dai, Yanjun & Wang, Chi-Hwa, 2018. "On the temporal modelling of solar photovoltaic soiling: Energy and economic impacts in seven cities," Applied Energy, Elsevier, vol. 228(C), pages 1136-1146.
  • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:1136-1146
    DOI: 10.1016/j.apenergy.2018.07.020
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    Cited by:

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    5. Hanifi, Hamed & Pander, Matthias & Zeller, Ulli & Ilse, Klemens & Dassler, David & Mirza, Mark & Bahattab, Mohammed A. & Jaeckel, Bengt & Hagendorf, Christian & Ebert, Matthias & Gottschalg, Ralph & S, 2020. "Loss analysis and optimization of PV module components and design to achieve higher energy yield and longer service life in desert regions," Applied Energy, Elsevier, vol. 280(C).
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    9. Rodrigo, Pedro M. & Gutiérrez, Sebastián & Micheli, Leonardo & Fernández, Eduardo F. & Almonacid, Florencia, 2020. "Optimum cleaning schedule of photovoltaic systems based on levelised cost of energy and case study in central Mexico," MPRA Paper 104173, University Library of Munich, Germany.
    10. Mithhu, Md. Mahamudul Hasan & Rima, Tahmina Ahmed & Khan, M. Ryyan, 2021. "Global analysis of optimal cleaning cycle and profit of soiling affected solar panels," Applied Energy, Elsevier, vol. 285(C).
    11. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernandez, Eduardo F., 2020. "Photovoltaic Cleaning Frequency Optimization Under Different Degradation Rate Patterns," MPRA Paper 105008, University Library of Munich, Germany, revised 07 Oct 2020.
    12. Ballestrín, Jesús & Polo, Jesús & Martín-Chivelet, Nuria & Barbero, Javier & Carra, Elena & Alonso-Montesinos, Joaquín & Marzo, Aitor, 2022. "Soiling forecasting of solar plants: A combined heuristic approach and autoregressive model," Energy, Elsevier, vol. 239(PE).
    13. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Nofuentes, Gustavo & Stein, Joshua S. & Almonacid, Florencia & Fernández, Eduardo F., 2022. "The economic value of photovoltaic performance loss mitigation in electricity spot markets," Renewable Energy, Elsevier, vol. 199(C), pages 486-497.
    14. Simone Pedrazzi & Giulio Allesina & Alberto Muscio, 2018. "Are Nano-Composite Coatings the Key for Photovoltaic Panel Self-Maintenance: An Experimental Evaluation," Energies, MDPI, vol. 11(12), pages 1-13, December.
    15. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernández, Eduardo F., 2020. "Photovoltaic cleaning frequency optimization under different degradation rate patterns," Renewable Energy, Elsevier, vol. 166(C), pages 136-146.
    16. Hasan Masrur & Keifa Vamba Konneh & Mikaeel Ahmadi & Kaisar R. Khan & Mohammad Lutfi Othman & Tomonobu Senjyu, 2021. "Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems," Energies, MDPI, vol. 14(4), pages 1-21, February.
    17. Fernández-Solas, Álvaro & Montes-Romero, Jesús & Micheli, Leonardo & Almonacid, Florencia & Fernández, Eduardo F., 2022. "Estimation of soiling losses in photovoltaic modules of different technologies through analytical methods," Energy, Elsevier, vol. 244(PB).
    18. Micheli, Leonardo & Fernández, Eduardo F. & Aguilera, Jorge T. & Almonacid, Florencia, 2021. "Economics of seasonal photovoltaic soiling and cleaning optimization scenarios," Energy, Elsevier, vol. 215(PA).
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    20. Azouzoute, Alae & Zitouni, Houssain & El Ydrissi, Massaab & Hajjaj, Charaf & Garoum, Mohammed & Bennouna, El Ghali & Ghennioui, Abdellatif, 2021. "Developing a cleaning strategy for hybrid solar plants PV/CSP: Case study for semi-arid climate," Energy, Elsevier, vol. 228(C).
    21. Micheli, Leonardo & Fernandez, Eduardo F. & Aguilera, Jorge T. & Almonacid, Florencia, 2020. "Economics of seasonal photovoltaic soiling and cleaning optimization scenarios," MPRA Paper 104104, University Library of Munich, Germany.
    22. Mohammed Al-Housani & Yusuf Bicer & Muammer Koç, 2019. "Assessment of Various Dry Photovoltaic Cleaning Techniques and Frequencies on the Power Output of CdTe-Type Modules in Dusty Environments," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    23. Isaacs, Stewart & Kalashnikova, Olga & Garay, Michael J. & van Donkelaar, Aaron & Hammer, Melanie S. & Lee, Huikyo & Wood, Danielle, 2023. "Dust soiling effects on decentralized solar in West Africa," Applied Energy, Elsevier, vol. 340(C).
    24. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).
    25. Meng, B. & Loonen, R.C.G.M. & Hensen, J.L.M., 2022. "Performance variability and implications for yield prediction of rooftop PV systems – Analysis of 246 identical systems," Applied Energy, Elsevier, vol. 322(C).

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