IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i8p1178-d107734.html
   My bibliography  Save this article

Spectral Response of Polycrystalline Silicon Photovoltaic Cells under Real-Use Conditions

Author

Listed:
  • Evaldo C. Gouvêa

    (Renewable Energy Center, School of Engineering, São Paulo State University (UNESP), Guaratinguetá, Avenida Ariberto Pereira da Cunha 333, Guaratinguetá 12516-410, São Paulo, Brazil)

  • Pedro M. Sobrinho

    (Renewable Energy Center, School of Engineering, São Paulo State University (UNESP), Guaratinguetá, Avenida Ariberto Pereira da Cunha 333, Guaratinguetá 12516-410, São Paulo, Brazil)

  • Teófilo M. Souza

    (Renewable Energy Center, School of Engineering, São Paulo State University (UNESP), Guaratinguetá, Avenida Ariberto Pereira da Cunha 333, Guaratinguetá 12516-410, São Paulo, Brazil)

Abstract

The standard test conditions for photovoltaic modules are not capable of reproducing the environmental variations to which the modules are subjected under real operating conditions. The objective of this experimental work is to be an initial study on how the electric energy generation of photovoltaic cells varies according to the different wavelength ranges of the solar light spectrum under real operating conditions. Two modules were installed outdoors; color filters, which allow the passage of light at specific wavelengths, were installed on one of them. The amount of energy produced by the module with the filter was compared to the reference module, and the relative efficiency of each filter was defined. As a result, it was found that crystalline silicon modules do not respond uniformly to sunlight, being more sensitive to the red band (relative efficiency of 23.83%) and less sensitive to the green band (19.15%). The infrared contributes to a significant portion of energy production (relative efficiency of 13.56%), overcoming its negative effect of reducing energy generation capacity due to high photovoltaic cell temperature.

Suggested Citation

  • Evaldo C. Gouvêa & Pedro M. Sobrinho & Teófilo M. Souza, 2017. "Spectral Response of Polycrystalline Silicon Photovoltaic Cells under Real-Use Conditions," Energies, MDPI, vol. 10(8), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1178-:d:107734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/8/1178/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/8/1178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jakhar, Sanjeev & Soni, M.S. & Gakkhar, Nikhil, 2016. "Historical and recent development of concentrating photovoltaic cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 41-59.
    2. Cañete, Cristina & Carretero, Jesús & Sidrach-de-Cardona, Mariano, 2014. "Energy performance of different photovoltaic module technologies under outdoor conditions," Energy, Elsevier, vol. 65(C), pages 295-302.
    3. Alonso-Abella, M. & Chenlo, F. & Nofuentes, G. & Torres-Ramírez, M., 2014. "Analysis of spectral effects on the energy yield of different PV (photovoltaic) technologies: The case of four specific sites," Energy, Elsevier, vol. 67(C), pages 435-443.
    4. Nofuentes, G. & García-Domingo, B. & Muñoz, J.V. & Chenlo, F., 2014. "Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution," Applied Energy, Elsevier, vol. 113(C), pages 302-309.
    5. Thomas Huld & Ana M. Gracia Amillo, 2015. "Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum," Energies, MDPI, vol. 8(6), pages 1-23, June.
    6. Sargunanathan, S. & Elango, A. & Mohideen, S. Tharves, 2016. "Performance enhancement of solar photovoltaic cells using effective cooling methods: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 382-393.
    7. García-Domingo, B. & Aguilera, J. & de la Casa, J. & Fuentes, M., 2014. "Modelling the influence of atmospheric conditions on the outdoor real performance of a CPV (Concentrated Photovoltaic) module," Energy, Elsevier, vol. 70(C), pages 239-250.
    8. Amrouche, Badia & Guessoum, Abderrezak & Belhamel, Maiouf, 2012. "A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison," Applied Energy, Elsevier, vol. 91(1), pages 395-404.
    9. Kaldellis, John K. & Kapsali, Marina & Kavadias, Kosmas A., 2014. "Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece," Renewable Energy, Elsevier, vol. 66(C), pages 612-624.
    10. Bahaidarah, Haitham M.S. & Baloch, Ahmer A.B. & Gandhidasan, Palanichamy, 2016. "Uniform cooling of photovoltaic panels: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1520-1544.
    11. Mekhilef, S. & Saidur, R. & Kamalisarvestani, M., 2012. "Effect of dust, humidity and air velocity on efficiency of photovoltaic cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2920-2925.
    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. Gori Shankar Sharma & Om Prakash Mahela & Mohamed G. Hussien & Baseem Khan & Sanjeevikumar Padmanaban & Muhammed B. Shafik & Zakaria M. Salem Elbarbary, 2022. "Performance Evaluation of a MW-Size Grid-Connected Solar Photovoltaic Plant Considering the Impact of Tilt Angle," Sustainability, MDPI, vol. 14(3), pages 1-28, January.
    2. Yufenyuy, Severine Wiysahnyuy & Mengata, Ghislain Mengounou & Nneme Nneme, Leandre & Bongwirnso, Umaru Mohammed, 2024. "Indoor environment PV applications: Estimation of the maximum harvestable power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    3. Krzysztof Górecki & Jacek Dąbrowski & Ewa Krac, 2021. "Modeling Solar Cells Operating at Waste Light," Energies, MDPI, vol. 14(10), pages 1-14, May.
    4. Fernández-Solas, Álvaro & Micheli, Leonardo & Almonacid, Florencia & Fernández, Eduardo F., 2021. "Optical degradation impact on the spectral performance of photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    5. Ahmad, Lujean & Khordehgah, Navid & Malinauskaite, Jurgita & Jouhara, Hussam, 2020. "Recent advances and applications of solar photovoltaics and thermal technologies," Energy, Elsevier, vol. 207(C).
    6. Schuster, Christian Stefano, 2020. "Analytical framework for the assessment and modelling of multi-junction solar cells in the outdoors," Renewable Energy, Elsevier, vol. 152(C), pages 1367-1379.
    7. Si Kuan Thio & Sung-Yong Park, 2019. "Dispersive Optical Systems for Highly-Concentrated Solar Spectrum Splitting: Concept, Design, and Performance Analyses," Energies, MDPI, vol. 12(24), pages 1-18, December.
    8. David Leitão & João Paulo N. Torres & João F. P. Fernandes, 2020. "Spectral Irradiance Influence on Solar Cells Efficiency," Energies, MDPI, vol. 13(19), pages 1-18, September.

    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. Hasan, Ahmed & Sarwar, Jawad & Shah, Ali Hasan, 2018. "Concentrated photovoltaic: A review of thermal aspects, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 835-852.
    2. Gilmore, Nicholas & Timchenko, Victoria & Menictas, Chris, 2018. "Microchannel cooling of concentrator photovoltaics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 1041-1059.
    3. Torres-Ramírez, M. & Nofuentes, G. & Silva, J.P. & Silvestre, S. & Muñoz, J.V., 2014. "Study on analytical modelling approaches to the performance of thin film PV modules in sunny inland climates," Energy, Elsevier, vol. 73(C), pages 731-740.
    4. Fernández, Eduardo F. & Almonacid, Florencia & Soria-Moya, Alberto & Terrados, Julio, 2015. "Experimental analysis of the spectral factor for quantifying the spectral influence on concentrator photovoltaic systems under real operating conditions," Energy, Elsevier, vol. 90(P2), pages 1878-1886.
    5. Gracia-Amillo, Ana M. & Bardizza, Giorgio & Salis, Elena & Huld, Thomas & Dunlop, Ewan D., 2018. "Energy-based metric for analysis of organic PV devices in comparison with conventional industrial technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 76-89.
    6. Kinsey, Geoffrey S. & Riedel-Lyngskær, Nicholas C. & Miguel, Alonso-Abella & Boyd, Matthew & Braga, Marília & Shou, Chunhui & Cordero, Raul R. & Duck, Benjamin C. & Fell, Christopher J. & Feron, Sarah, 2022. "Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide," Renewable Energy, Elsevier, vol. 196(C), pages 995-1016.
    7. Teodoro Adrada Guerra & Julio Amador Guerra & Beatriz Orfao Tabernero & Guillermo De la Cruz García, 2017. "Comparative Energy Performance Analysis of Six Primary Photovoltaic Technologies in Madrid (Spain)," Energies, MDPI, vol. 10(6), pages 1-23, June.
    8. Torres-Ramírez, M. & Elizondo, D. & García-Domingo, B. & Nofuentes, G. & Talavera, D.L., 2015. "Modelling the spectral irradiance distribution in sunny inland locations using an ANN-based methodology," Energy, Elsevier, vol. 86(C), pages 323-334.
    9. Daxini, Rajiv & Wu, Yupeng, 2024. "Review of methods to account for the solar spectral influence on photovoltaic device performance," Energy, Elsevier, vol. 286(C).
    10. 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.
    11. Obiwulu, Anthony Umunnakwe & Erusiafe, Nald & Olopade, Muteeu Abayomi & Nwokolo, Samuel Chukwujindu, 2020. "Modeling and optimization of back temperature models of mono-crystalline silicon modules with special focus on the effect of meteorological and geographical parameters on PV performance," Renewable Energy, Elsevier, vol. 154(C), pages 404-431.
    12. Kaplanis, S. & Kaplani, E. & Kaldellis, J.K., 2022. "PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency a," Renewable Energy, Elsevier, vol. 181(C), pages 235-249.
    13. Thopil, George Alex & Sachse, Christiaan Eddie & Lalk, Jörg & Thopil, Miriam Sara, 2020. "Techno-economic performance comparison of crystalline and thin film PV panels under varying meteorological conditions: A high solar resource southern hemisphere case," Applied Energy, Elsevier, vol. 275(C).
    14. Senturk, Ali, 2020. "Investigation of datasheet provided temperature coefficients of photovoltaic modules under various sky profiles at the field by applying a new validation procedure," Renewable Energy, Elsevier, vol. 152(C), pages 644-652.
    15. Wang, Derek D. & Sueyoshi, Toshiyuki, 2017. "Assessment of large commercial rooftop photovoltaic system installations: Evidence from California," Applied Energy, Elsevier, vol. 188(C), pages 45-55.
    16. Chao Huang & Michael Edesess & Alain Bensoussan & Kwok L. Tsui, 2016. "Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic System," Energies, MDPI, vol. 9(5), pages 1-15, May.
    17. Ramli, Makbul A.M. & Prasetyono, Eka & Wicaksana, Ragil W. & Windarko, Novie A. & Sedraoui, Khaled & Al-Turki, Yusuf A., 2016. "On the investigation of photovoltaic output power reduction due to dust accumulation and weather conditions," Renewable Energy, Elsevier, vol. 99(C), pages 836-844.
    18. Espinoza, R. & Muñoz-Cerón, E. & Aguilera, J. & de la Casa, J., 2019. "Feasibility evaluation of residential photovoltaic self-consumption projects in Peru," Renewable Energy, Elsevier, vol. 136(C), pages 414-427.
    19. Jha, Aprajeeta & Tripathy, P.P., 2019. "Heat transfer modeling and performance evaluation of photovoltaic system in different seasonal and climatic conditions," Renewable Energy, Elsevier, vol. 135(C), pages 856-865.
    20. Wang, Meng & Peng, Jinqing & Luo, Yimo & Shen, Zhicheng & Yang, Hongxing, 2021. "Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements," Energy, Elsevier, vol. 224(C).

    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:10:y:2017:i:8:p:1178-:d:107734. 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.