IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v126y2018icp370-386.html
   My bibliography  Save this article

A thermal model for N series connected glass/cell/polymer sheet and glass/cell/glass crystalline silicon photovoltaic modules with hot solar cells connected in series and its thermal losses in real outdoor condition

Author

Listed:
  • Rajput, Pramod
  • Shyam,
  • Tomar, Vivek
  • Tiwari, G.N.
  • Sastry, O.S.
  • Bhatti, T.S.

Abstract

The importance of reliability and degradation of photovoltaic (PV) systems as a renewable energy resource is well recognized. In the present study, a thermal model has been developed to estimate the temperature, efficiency and thermal losses for N series connected Glass/cell/polymer sheet and Glass/cell/glass PV modules with hot solar cells in terms of climate and design parameters. The numerical computation has been performed for larger number of days as June (summer) and December (winter) following the temperature of hot solar cells at the National Institute of Solar Energy, Gurugram, India. In the case of string 1 (3 hot solar cells) of Glass/cell/polymer sheet has higher short circuit current than the Glass/cell/glass PV modules string 2 (7 hot solar cells). Similarly, leakage current of Glass/cell/polymer sheet PV module with 7 hot solar cells is marginally higher in comparison to Glass/cell/polymer sheet PV module with 3 hot solar cells. Further, 1% electrical efficiency has been improved due to shadow on hot solar cells in Glass/cell/polymer sheet and Glass/cell/glass PV modules.

Suggested Citation

  • Rajput, Pramod & Shyam, & Tomar, Vivek & Tiwari, G.N. & Sastry, O.S. & Bhatti, T.S., 2018. "A thermal model for N series connected glass/cell/polymer sheet and glass/cell/glass crystalline silicon photovoltaic modules with hot solar cells connected in series and its thermal losses in real ou," Renewable Energy, Elsevier, vol. 126(C), pages 370-386.
    • Handle: RePEc:eee:renene:v:126:y:2018:i:c:p:370-386
    DOI: 10.1016/j.renene.2018.03.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.03.040?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. Wiengmoon, Buntoon & Kirtikara, Krissanapong & Jivacate, Chaya & Chenvidhya, Dhirayut, 2013. "Local parallel resistances of solar cell derived by the thermal image analysis," Renewable Energy, Elsevier, vol. 55(C), pages 49-54.
    2. Jung, Tae Hee & Lee, Jeong In & Song, Hee-eun & Ju, Young Chul & Ko, Suk Whan & Jung, Young-Seok & Kang, Gi Hwan, 2017. "Classification conditions of cells to reduce cell-to-module conversion loss at the production stage of PV modules," Renewable Energy, Elsevier, vol. 103(C), pages 582-593.
    3. Hernández, J.C. & Vidal, P.G. & Medina, A., 2010. "Characterization of the insulation and leakage currents of PV generators: Relevance for human safety," Renewable Energy, Elsevier, vol. 35(3), pages 593-601.
    4. 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.
    5. Bressan, M. & El Basri, Y. & Galeano, A.G. & Alonso, C., 2016. "A shadow fault detection method based on the standard error analysis of I-V curves," Renewable Energy, Elsevier, vol. 99(C), pages 1181-1190.
    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. Ma, Xun & Li, Ming & Peng, Ye & Sun, Linyao & Chen, Chuangye, 2022. "Development of thermo–electrical loss model for photovoltaic module with inhomogeneous temperature," Energy, Elsevier, vol. 248(C).
    2. Jia, Yuting & Alva, Guruprasad & Fang, Guiyin, 2019. "Development and applications of photovoltaic–thermal systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 249-265.

    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. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.
    2. Qamar Navid & Ahmed Hassan & Abbas Ahmad Fardoun & Rashad Ramzan & Abdulrahman Alraeesi, 2021. "Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    3. Chine, W. & Mellit, A. & Lughi, V. & Malek, A. & Sulligoi, G. & Massi Pavan, A., 2016. "A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks," Renewable Energy, Elsevier, vol. 90(C), pages 501-512.
    4. Guan, Yanling & Zhang, Hao & Xiao, Bin & Zhou, Zhi & Yan, Xuzhou, 2017. "In-situ investigation of the effect of dust deposition on the performance of polycrystalline silicon photovoltaic modules," Renewable Energy, Elsevier, vol. 101(C), pages 1273-1284.
    5. Kamjoo, Azadeh & Maheri, Alireza & Putrus, Ghanim A., 2014. "Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 66(C), pages 677-688.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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).
    11. Tanesab, Julius & Parlevliet, David & Whale, Jonathan & Urmee, Tania, 2018. "Energy and economic losses caused by dust on residential photovoltaic (PV) systems deployed in different climate areas," Renewable Energy, Elsevier, vol. 120(C), pages 401-412.
    12. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    13. 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.
    14. 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).
    15. 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.
    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. Yu Jiang & Lin Lu, 2016. "Experimentally Investigating the Effect of Temperature Differences in the Particle Deposition Process on Solar Photovoltaic (PV) Modules," Sustainability, MDPI, vol. 8(11), pages 1-9, October.
    18. Raillani, Benyounes & Salhi, Mourad & Chaatouf, Dounia & Bria, Abir & Amraqui, Samir & Mezrhab, Ahmed, 2023. "A new proposed method to mitigate the soiling rate of a photovoltaic array using first-row height," Applied Energy, Elsevier, vol. 331(C).
    19. 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).
    20. Cubukcu, M. & Akanalci, A., 2020. "Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey," Renewable Energy, Elsevier, vol. 147(P1), pages 1231-1238.

    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:126:y:2018:i:c:p:370-386. 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.