IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i23p7935-d688670.html
   My bibliography  Save this article

Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies

Author

Listed:
  • Michelle Kitayama da Silva

    (School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh EH14 4AS, UK)

  • Mehreen Saleem Gul

    (School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh EH14 4AS, UK)

  • Hassam Chaudhry

    (School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Dubai P.O. Box 38103, United Arab Emirates)

Abstract

An evaluation of the degradation effects on photovoltaic modules is essential to minimise uncertainties in the system operation. Bifacial photovoltaic technology is attracting attention due to the capacity of generating energy from the front and rear sides. This paper presents a review of degradation factors, for both conventional monofacial and bifacial photovoltaic modules, to highlight how the current and voltage characteristics of these technologies are affected by degradation. Microcracking, encapsulant discoloration, and light induced degradation seem to have similar effects on both modules. Contrarily, bifacial modules are more prone to potential induced degradation as the electromagnetic shielding is affected by the bifaciality. Bifacial devices are less affected by light and elevated temperature induced degradation. The degradation (1.3%) is similar for both technologies, up to 40 kWh/m 2 of solar radiation. Above this value, monofacial degradation increases faster, reaching values of 7%. For tilted systems, the front side soiling degradation of 0.30% per day is similar for both technologies. For vertical systems, soiling loss for bifacial is considerably lower with values of 0.02% per day.

Suggested Citation

  • Michelle Kitayama da Silva & Mehreen Saleem Gul & Hassam Chaudhry, 2021. "Review on the Sources of Power Loss in Monofacial and Bifacial Photovoltaic Technologies," Energies, MDPI, vol. 14(23), pages 1-29, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7935-:d:688670
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/23/7935/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/23/7935/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baloch, Ahmer A.B. & Hammat, Said & Figgis, Benjamin & Alharbi, Fahhad H. & Tabet, Nouar, 2020. "In-field characterization of key performance parameters for bifacial photovoltaic installation in a desert climate," Renewable Energy, Elsevier, vol. 159(C), pages 50-63.
    2. Salim Bouchakour & Daniel Valencia-Caballero & Alvaro Luna & Eduardo Roman & El Amin Kouadri Boudjelthia & Pedro Rodríguez, 2021. "Modelling and Simulation of Bifacial PV Production Using Monofacial Electrical Models," Energies, MDPI, vol. 14(14), pages 1-16, July.
    3. Jawad Ahmad & Alessandro Ciocia & Stefania Fichera & Ali Faisal Murtaza & Filippo Spertino, 2019. "Detection of Typical Defects in Silicon Photovoltaic Modules and Application for Plants with Distributed MPPT Configuration," Energies, MDPI, vol. 12(23), pages 1-26, November.
    4. Kim, Chungil & Jeong, Myeong Sang & Ko, Jaehwan & Ko, MyeongGeun & Kang, Min Gu & Song, Hyung-Jun, 2021. "Inhomogeneous rear reflector induced hot-spot risk and power loss in building-integrated bifacial c-Si photovoltaic modules," Renewable Energy, Elsevier, vol. 163(C), pages 825-835.
    5. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
    6. Mathhar Bdour & Zakariya Dalala & Mohammad Al-Addous & Ashraf Radaideh & Aseel Al-Sadi, 2020. "A Comprehensive Evaluation on Types of Microcracks and Possible Effects on Power Degradation in Photovoltaic Solar Panels," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    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. Mehreen Saleem Gul & Hassam Nasarullah Chaudhry, 2022. "Energy Efficiency, Low Carbon Resources and Renewable Technology," Energies, MDPI, vol. 15(13), pages 1-3, June.

    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. Tina, Giuseppe Marco & Bontempo Scavo, Fausto & Merlo, Leonardo & Bizzarri, Fabrizio, 2021. "Analysis of water environment on the performances of floating photovoltaic plants," Renewable Energy, Elsevier, vol. 175(C), pages 281-295.
    2. Waqas Ahmed & Jamil Ahmed Sheikh & Shahjadi Hisan Farjana & M. A. Parvez Mahmud, 2021. "Defects Impact on PV System GHG Mitigation Potential and Climate Change," Sustainability, MDPI, vol. 13(14), pages 1-9, July.
    3. Yu, Kunjie & Liang, J.J. & Qu, B.Y. & Cheng, Zhiping & Wang, Heshan, 2018. "Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models," Applied Energy, Elsevier, vol. 226(C), pages 408-422.
    4. Ahmed Ginidi & Sherif M. Ghoneim & Abdallah Elsayed & Ragab El-Sehiemy & Abdullah Shaheen & Attia El-Fergany, 2021. "Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    5. M. M. Hasan & Shakhawat Hossain & M. Mofijur & Zobaidul Kabir & Irfan Anjum Badruddin & T. M. Yunus Khan & Esam Jassim, 2023. "Harnessing Solar Power: A Review of Photovoltaic Innovations, Solar Thermal Systems, and the Dawn of Energy Storage Solutions," Energies, MDPI, vol. 16(18), pages 1-30, September.
    6. Moreira, Hugo Soeiro & Lucas de Souza Silva, João & Gomes dos Reis, Marcos Vinicios & de Bastos Mesquita, Daniel & Kikumoto de Paula, Bruno Henrique & Villalva, Marcelo Gradella, 2021. "Experimental comparative study of photovoltaic models for uniform and partially shading conditions," Renewable Energy, Elsevier, vol. 164(C), pages 58-73.
    7. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
    8. Jouttijärvi, Sami & Lobaccaro, Gabriele & Kamppinen, Aleksi & Miettunen, Kati, 2022. "Benefits of bifacial solar cells combined with low voltage power grids at high latitudes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.
    10. Chen, Zhicong & Wu, Lijun & Lin, Peijie & Wu, Yue & Cheng, Shuying, 2016. "Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy," Applied Energy, Elsevier, vol. 182(C), pages 47-57.
    11. Abbassi, Rabeh & Abbassi, Abdelkader & Jemli, Mohamed & Chebbi, Souad, 2018. "Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 453-474.
    12. Efstratios Batzelis, 2019. "Non-Iterative Methods for the Extraction of the Single-Diode Model Parameters of Photovoltaic Modules: A Review and Comparative Assessment," Energies, MDPI, vol. 12(3), pages 1-26, January.
    13. Zhang, Yelin & Liu, Zhongbing & Wang, Pengcheng, 2020. "Evaluation of a stand-alone photovoltaic/thermal integrated thermoelectric water heating system," Renewable Energy, Elsevier, vol. 162(C), pages 1533-1553.
    14. Ortega, Eneko & Suarez, Sergio & Jimeno, Juan Carlos & Gutierrez, Jose Rubén & Fano, Vanesa & Otaegi, Aloña & Rivas, Jose Manuel & Navas, Gustavo & Fernandez, Ignacio & Rodriguez-Conde, Sofia, 2024. "An statistical model for the short-term albedo estimation applied to PV bifacial modules," Renewable Energy, Elsevier, vol. 221(C).
    15. Carlos Cárdenas-Bravo & Rodrigo Barraza & Antonio Sánchez-Squella & Patricio Valdivia-Lefort & Federico Castillo-Burns, 2021. "Estimation of Single-Diode Photovoltaic Model Using the Differential Evolution Algorithm with Adaptive Boundaries," Energies, MDPI, vol. 14(13), pages 1-24, June.
    16. Chin, Vun Jack & Salam, Zainal, 2019. "A New Three-point-based Approach for the Parameter Extraction of Photovoltaic Cells," Applied Energy, Elsevier, vol. 237(C), pages 519-533.
    17. Pillai, Dhanup S. & Rajasekar, N., 2018. "Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3503-3525.
    18. Li, Yuanliang & Ding, Kun & Zhang, Jingwei & Chen, Fudong & Chen, Xiang & Wu, Jiabing, 2019. "A fault diagnosis method for photovoltaic arrays based on fault parameters identification," Renewable Energy, Elsevier, vol. 143(C), pages 52-63.
    19. Liu, Zhongbing & Zhang, Yelin & Zhang, Ling & Luo, Yongqiang & Wu, Zhenghong & Wu, Jing & Yin, Yingde & Hou, Guoqing, 2018. "Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system," Applied Energy, Elsevier, vol. 228(C), pages 1887-1900.
    20. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wang, Yingzi & Meng, Fangfang & Wu, Jing, 2016. "Thermal performance evaluation of an active building integrated photovoltaic thermoelectric wall system," Applied Energy, Elsevier, vol. 177(C), pages 25-39.

    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:gam:jeners:v:14:y:2021:i:23:p:7935-:d:688670. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.