IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v201y2022ip1p172-180.html
   My bibliography  Save this article

A novel image enhancement algorithm to determine the dust level on photovoltaic (PV) panels

Author

Listed:
  • Fan, Siyuan
  • Wang, Xiao
  • Wang, Zun
  • Sun, Bo
  • Zhang, Zhenhai
  • Cao, Shengxian
  • Zhao, Bo
  • Wang, Yu

Abstract

An accurate evaluation of the dust accumulation on photovoltaic (PV) panels enables the development of cleaning plans and improves the grid connection security of PV power stations. In this paper, a novel image enhancement algorithm is proposed to evaluate the dust accumulation on PV panels. An atmospheric scattering model was used to analyze the difference in the image characteristics of clean and dusty PV panels. A model was proposed to describe the relationship between the model coefficient and the dust level by minimizing the pixel difference between the images of the soiled and clean PV panels. An experiment system was designed to acquire the images of clean and soiled PV panels with different dust levels. The model parameters were determined by data fitting, and the model’s generalization ability was improved by adding a noise item. The results show that the model can estimate the dust level on PV panels with an accuracy of 83.78%. The average root mean square error (RMSE) of samples 1–4 is 1.67, and the error range is 2–3.5 g/m2. In addition, the proposed method has higher accuracy than the optical attenuation and weighing methods, with a mean absolute error (MAE) of 1.61 g/m2. The method is simple and reliable for intelligent cleaning of PV panels.

Suggested Citation

  • Fan, Siyuan & Wang, Xiao & Wang, Zun & Sun, Bo & Zhang, Zhenhai & Cao, Shengxian & Zhao, Bo & Wang, Yu, 2022. "A novel image enhancement algorithm to determine the dust level on photovoltaic (PV) panels," Renewable Energy, Elsevier, vol. 201(P1), pages 172-180.
    • Handle: RePEc:eee:renene:v:201:y:2022:i:p1:p:172-180
    DOI: 10.1016/j.renene.2022.10.073
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812201566X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.10.073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olabi, A.G. & Abdelkareem, Mohammad Ali, 2022. "Renewable energy and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Sun, Tianyi & Liu, Peng, 2021. "A novel method for analyzing the effect of dust accumulation on energy efficiency loss in photovoltaic (PV) system," Energy, Elsevier, vol. 234(C).
    3. Beattie, Neil S. & Moir, Robert S. & Chacko, Charlslee & Buffoni, Giorgio & Roberts, Simon H. & Pearsall, Nicola M., 2012. "Understanding the effects of sand and dust accumulation on photovoltaic modules," Renewable Energy, Elsevier, vol. 48(C), pages 448-452.
    4. Dida, Mustapha & Boughali, Slimane & Bechki, Djamel & Bouguettaia, Hamza, 2020. "Output power loss of crystalline silicon photovoltaic modules due to dust accumulation in Saharan environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    5. Zarei, Tahereh & Abdolzadeh, Morteza, 2016. "Optical and thermal modeling of a tilted photovoltaic module with sand particles settled on its front surface," Energy, Elsevier, vol. 95(C), pages 51-66.
    6. Dhaouadi, Rached & Al-Othman, Amani & Aidan, Ahmed A. & Tawalbeh, Muhammad & Zannerni, Rawan, 2021. "A characterization study for the properties of dust particles collected on photovoltaic (PV) panels in Sharjah, United Arab Emirates," Renewable Energy, Elsevier, vol. 171(C), pages 133-140.
    7. Zhao, Qun & Yao, Wanxiang & Zhang, Chunxiao & Wang, Xiao & Wang, Yan, 2019. "Study on the influence of fog and haze on solar radiation based on scattering-weakening effect," Renewable Energy, Elsevier, vol. 134(C), pages 178-185.
    8. Enaganti, Prasanth K. & Bhattacharjee, Ankur & Ghosh, Aritra & Chanchangi, Yusuf N. & Chakraborty, Chanchal & Mallick, Tapas K. & Goel, Sanket, 2022. "Experimental investigations for dust build-up on low-iron glass exterior and its effects on the performance of solar PV systems," Energy, Elsevier, vol. 239(PC).
    9. Laarabi, Bouchra & El Baqqal, Youssef & Dahrouch, Abdelouahed & Barhdadi, Abdelfettah, 2020. "Deep analysis of soiling effect on glass transmittance of PV modules in seven sites in Morocco," Energy, Elsevier, vol. 213(C).
    10. Xiong, Wei & Liu, Zhongbing & Wu, Zhenghong & Wu, Jing & Su, Fanghan & Zhang, Ling, 2022. "Investigation of the effect of Inter-Building Effect on the performance of semi-transparent PV glazing system," Energy, Elsevier, vol. 245(C).
    11. Zhao, Weiping & Lv, Yukun & Zhou, Qingwen & Yan, Weiping, 2021. "Investigation on particle deposition criterion and dust accumulation impact on solar PV module performance," Energy, Elsevier, vol. 233(C).
    12. Zhu, Tingting & Wei, Haikun & Zhao, Xin & Zhang, Chi & Zhang, Kanjian, 2017. "Clear-sky model for wavelet forecast of direct normal irradiance," Renewable Energy, Elsevier, vol. 104(C), pages 1-8.
    13. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Zhao, Bo & Sun, Tianyi & Liu, Peng, 2022. "A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels," Energy, Elsevier, vol. 239(PD).
    14. Kalogirou, Soteris A. & Agathokleous, Rafaela & Panayiotou, Gregoris, 2013. "On-site PV characterization and the effect of soiling on their performance," Energy, Elsevier, vol. 51(C), pages 439-446.
    15. Cavieres, Robinson & Barraza, Rodrigo & Estay, Danilo & Bilbao, José & Valdivia-Lefort, Patricio, 2022. "Automatic soiling and partial shading assessment on PV modules through RGB images analysis," Applied Energy, Elsevier, vol. 306(PA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Fuxiang & Yuan, Ziming & Wu, Wei, 2024. "Experimental investigation of soiling losses on photovoltaic in high-density urban environments," Applied Energy, Elsevier, vol. 369(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yao, Wanxiang & Kong, Xiangru & Xu, Ai & Xu, Puyan & Wang, Yan & Gao, Weijun, 2023. "New models for the influence of rainwater on the performance of photovoltaic modules under different rainfall conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    2. Conceição, Ricardo & González-Aguilar, José & Merrouni, Ahmed Alami & Romero, Manuel, 2022. "Soiling effect in solar energy conversion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    3. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Sun, Tianyi & Liu, Peng, 2021. "A novel method for analyzing the effect of dust accumulation on energy efficiency loss in photovoltaic (PV) system," Energy, Elsevier, vol. 234(C).
    4. Alkharusi, Tarik & Huang, Gan & Markides, Christos N., 2024. "Characterisation of soiling on glass surfaces and their impact on optical and solar photovoltaic performance," Renewable Energy, Elsevier, vol. 220(C).
    5. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Zhao, Bo & Sun, Tianyi & Liu, Peng, 2022. "A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels," Energy, Elsevier, vol. 239(PD).
    6. Fan, Siyuan & Wang, Xiao & Cao, Shengxian & Wang, Yu & Zhang, Yanhui & Liu, Bingzheng, 2022. "A novel model to determine the relationship between dust concentration and energy conversion efficiency of photovoltaic (PV) panels," Energy, Elsevier, vol. 252(C).
    7. Warsama, Aziza Idriss & Selimli, Selcuk, 2024. "Effect of dust deposition density and particle size on the energetic and exergetic performance of photovoltaic modules: An experimental study," Renewable Energy, Elsevier, vol. 226(C).
    8. Karim Menoufi, 2017. "Dust Accumulation on the Surface of Photovoltaic Panels: Introducing the Photovoltaic Soiling Index (PVSI)," Sustainability, MDPI, vol. 9(6), pages 1-12, June.
    9. Tang, Wuqin & Yang, Qiang & Dai, Zhou & Yan, Wenjun, 2024. "Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives," Energy, Elsevier, vol. 297(C).
    10. Gowtham Vedulla & Anbazhagan Geetha & Ramalingam Senthil, 2022. "Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.
    11. Saidan, Motasem & Albaali, Abdul Ghani & Alasis, Emil & Kaldellis, John K., 2016. "Experimental study on the effect of dust deposition on solar photovoltaic panels in desert environment," Renewable Energy, Elsevier, vol. 92(C), pages 499-505.
    12. Wu, Yubo & Du, Jianqiang & Liu, Guangxin & Ma, Danzhu & Jia, Fengrui & Klemeš, Jiří Jaromír & Wang, Jin, 2022. "A review of self-cleaning technology to reduce dust and ice accumulation in photovoltaic power generation using superhydrophobic coating," Renewable Energy, Elsevier, vol. 185(C), pages 1034-1061.
    13. Zhao, Weiping & Lv, Yukun & Dong, Zhiguang & Zhao, Fang & Lv, Fengyong & Yan, Weiping, 2024. "Effect of self-cleaning superhydrophobic coating on dust deposition and performance of PV modules," Renewable Energy, Elsevier, vol. 227(C).
    14. Haneen Abuzaid & Mahmoud Awad & Abdulrahim Shamayleh, 2024. "Photovoltaic Modules’ Cleaning Method Selection for the MENA Region," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    15. Sun, Ke & Lu, Lin & Jiang, Yu & Wang, Yuanhao & Zhou, Kun & He, Zhu, 2018. "Integrated effects of PM2.5 deposition, module surface conditions and nanocoatings on solar PV surface glass transmittance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4107-4120.
    16. Chen, Jinxin & Pan, Guobing & Ouyang, Jing & Ma, Jin & Fu, Lei & Zhang, Libin, 2020. "Study on impacts of dust accumulation and rainfall on PV power reduction in East China," Energy, Elsevier, vol. 194(C).
    17. Tingting Cai & Dongmin Yu & Huanan Liu & Fengkai Gao, 2022. "RETRACTED: Computational Analysis of Variational Inequalities Using Mean Extra-Gradient Approach," Mathematics, MDPI, vol. 10(13), pages 1-14, July.
    18. Zhao, Ning & Yan, Suying & Zhang, Na & Zhao, Xiaoyan, 2022. "Impacts of seasonal dust accumulation on a point-focused Fresnel high-concentration photovoltaic/thermal system," Renewable Energy, Elsevier, vol. 191(C), pages 732-746.
    19. 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).
    20. Lu, Hao & Lu, Lin & Wang, Yuanhao, 2016. "Numerical investigation of dust pollution on a solar photovoltaic (PV) system mounted on an isolated building," Applied Energy, Elsevier, vol. 180(C), pages 27-36.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:201:y:2022:i:p1:p:172-180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.