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Photovoltaic Cleaning Frequency Optimization Under Different Degradation Rate Patterns

Author

Listed:
  • Micheli, Leonardo
  • Theristis, Marios
  • Talavera, Diego L.
  • Almonacid, Florencia
  • Stein, Joshua S.
  • Fernandez, Eduardo F.

Abstract

Dust accumulation significantly affects the performance of photovoltaic modules and its impact can be mitigated by various cleaning methods. Optimizing the cleaning frequency is therefore essential to minimize the soiling losses and, at the same time, the costs. However, the effectiveness of cleaning lowers with time because of the reduced energy yield due to degradation. Additionally, economic factors such as the escalation in electricity price and inflation can either compound or counterbalance the effect of degradation. The present study analyzes the impact of degradation, escalation in electricity price and inflation on cleaning frequency and proposes a methodology than can be applied to maximize the profits of soiling mitigation in any system worldwide. The energy performance and soiling losses of a 1 MW system installed in southern Spain were analyzed and integrated with theoretical linear and nonlinear degradation rate patterns. The Levelized Cost of Energy and Net Present Value were used as criteria to identify the optimum cleaning strategies. The results showed that the two metrics convey distinct cleaning recommendations, as they are influenced by different factors. For the given site, despite the degradation effects, the optimum cleaning frequency is found to increase with time of operation.

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:105008
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    References listed on IDEAS

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    4. Conceição, Ricardo & Vázquez, Iñigo & Fialho, Luis & García, Daniel, 2020. "Soiling and rainfall effect on PV technology in rural Southern Europe," Renewable Energy, Elsevier, vol. 156(C), pages 743-747.
    5. Jiménez-Castillo, G. & Muñoz-Rodriguez, F.J. & Rus-Casas, C. & Talavera, D.L., 2020. "A new approach based on economic profitability to sizing the photovoltaic generator in self-consumption systems without storage," Renewable Energy, Elsevier, vol. 148(C), pages 1017-1033.
    6. Conceição, Ricardo & Silva, Hugo G. & Fialho, Luis & Lopes, Francis M. & Collares-Pereira, Manuel, 2019. "PV system design with the effect of soiling on the optimum tilt angle," Renewable Energy, Elsevier, vol. 133(C), pages 787-796.
    7. 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.
    8. Ullah, Asad & Amin, Amir & Haider, Turab & Saleem, Murtaza & Butt, Nauman Zafar, 2020. "Investigation of soiling effects, dust chemistry and optimum cleaning schedule for PV modules in Lahore, Pakistan," Renewable Energy, Elsevier, vol. 150(C), pages 456-468.
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    Cited by:

    1. Lucia Cattani & Paolo Cattani & Anna Magrini, 2021. "Photovoltaic Cleaning Optimization: A Simplified Theoretical Approach for Air to Water Generator (AWG) System Employment," Energies, MDPI, vol. 14(14), pages 1-17, July.
    2. Giuseppe Piras & Adriana Scarlet Sferra, 2024. "Environmental Product Declarations as a Data Source for the Assessment of Environmental Impacts during the Use Phase of Photovoltaic Modules: Critical Issues and Potential," Energies, MDPI, vol. 17(2), pages 1-19, January.
    3. Romero-Fiances, Irene & Livera, Andreas & Theristis, Marios & Makrides, George & Stein, Joshua S. & Nofuentes, Gustavo & de la Casa, Juan & Georghiou, George E., 2022. "Impact of duration and missing data on the long-term photovoltaic degradation rate estimation," Renewable Energy, Elsevier, vol. 181(C), pages 738-748.
    4. 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.
    5. 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.
    6. Tuhibur Rahman & Ahmed Al Mansur & Molla Shahadat Hossain Lipu & Md. Siddikur Rahman & Ratil H. Ashique & Mohamad Abou Houran & Rajvikram Madurai Elavarasan & Eklas Hossain, 2023. "Investigation of Degradation of Solar Photovoltaics: A Review of Aging Factors, Impacts, and Future Directions toward Sustainable Energy Management," Energies, MDPI, vol. 16(9), pages 1-30, April.

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    More about this item

    Keywords

    Soiling; Cleaning Frequency; Optimization; Photovoltaics; Degradation Rate; Economics;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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