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Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model

Received: 25 October 2016    Accepted: 3 November 2016    Published: 13 January 2017
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Abstract

This paper presents the effect of ambient meteorological parameters on the performance of different photovoltaic (PV) technologies based on PVSyst thermal model. The PV technologies considered are: monocrystalline silicon, polycrystalline silicon, amorphous silicon, microcrystalline and cadmium telluride. The study is conducted with hourly meteorological data obtained from PVSyst software meteo-file for Dakar in Senegal, with site coordinate of 14.5° N and 17.0° W. The results show that the different PV technologies have the same cell temperature because PVSyst uses default adsorption coefficient of 0.9 for the different PV technologies. However, the performance of the different PV technologies in response to the cell temperature differs in respect of their thermal coefficient. Among the five PV technologies studied, amorphous silicon has the lowest thermal coefficient and the best thermal response but the worst solar energy conversion efficiency. This means that amorphous silicon would occupy much more space to achieve the same energy output as the other PV technologies studied. Conversely, polycrystalline silicon has the highest thermal coefficient and the worst thermal response but its solar energy conversion efficiency is relatively higher than those of other PV technologies except monocrystalline silicon. The polycrystalline silicon with the same PV module size will yield more energy than its equivalent sized amorphous silicon PV module.

Published in Science Journal of Energy Engineering (Volume 4, Issue 6)
DOI 10.11648/j.sjee.20160406.13
Page(s) 62-67
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Renewable Energy, Photovoltaic, Solar Radiation, Cell Temperature, Thermal Loss, Thermal Loss Model, PVSyst, Thermal Coefficient, Cell Efficiency

References
[1] Dash, P. K. (2015). Effect of Temperature on Power Output from Different Commercially available Photovoltaic Modules. International Journal of Engineering Research and Applications, 1 (5), 148-151.
[2] Guarracino, I., Mellor, A., Ekins-Daukes, N. J., &Markides, C. N. (2016). Dynamic coupled thermal-and-electrical modelling of sheet-and-tube hybrid photovoltaic/thermal (PVT) collectors. Applied Thermal Engineering.
[3] Araneo, R., Grasselli, U., & Celozzi, S. (2014). Assessment of a practical model to estimate the cell temperature of a photovoltaic module. International Journal of Energy and Environmental Engineering, 5 (1), 1-15.
[4] Vokas, G., Christandonis, N., & Skittides, F. (2006). Hybrid photovoltaic–thermal systems for domestic heating and cooling—a theoretical approach. Solar energy, 80 (5), 607-615.
[5] Kalogirou, S. A. (2009). Solar Energy Engineering: Processes and Systems. London: Academic Press. pp 109-215.
[6] Mermoud, A. (2010). Modeling Systems Losses in PVsyst. Institute of the Environmental Sciences Group of energy–PVsyst, Universitè de Genève.
[7] SunEdison (2015) Obtaining Accurate Energy Harvest Estimations From SunEdison Modules Using PVSyst v6.23 Solar Simulator. PVSyst_v6.23_Technical Note.2015Available at: http://www.sunedison.com/sites/default/files/file-uploads/solar-material-resource/SE_PVSyst_Tech_Note_0.pdf Accessed on 3rd September 2016.
[8] Brihmat, F., & Mekhtoub, S. (2014). PV Cell Temperature/PV Power Output Relationships Homer Methodology Calculation. In ConférenceInternationale des Energies Renouvelables" CIER’13"/International Journal of Scientific Research & Engineering Technology (Vol. 1, No. 02). International Publisher & C. O.
[9] Omar, A. M., Hussin, M. Z., Shaari, S., &Sopian, K. (2014). Energy yield calculation of the grid connected photovoltaic power system. In 8th International Conference on Renewable Energy Sources (RES) (pp. 162-167).
[10] Schwingshackl, C., Petitta, M., Wagner, J. E., Belluardo, G., Moser, D., Castelli, M.,... & Tetzlaff, A. (2013). Wind effect on PV module temperature: Analysis of different techniques for an accurate estimation. Energy Procedia, 40, 77-86.
[11] Koehl, M., Heck, M., Wiesmeier, S., & Wirth, J. (2011). Modeling of the nominal operating cell temperature based on outdoor weathering. Solar Energy Materials and Solar Cells, 95 (7), 1638-1646.
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    Abasi-obot Iniobong Edifon, Nkan Imo Edwin, Ekpe Unwana Macaulay. (2017). Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model. Science Journal of Energy Engineering, 4(6), 62-67. https://doi.org/10.11648/j.sjee.20160406.13

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    ACS Style

    Abasi-obot Iniobong Edifon; Nkan Imo Edwin; Ekpe Unwana Macaulay. Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model. Sci. J. Energy Eng. 2017, 4(6), 62-67. doi: 10.11648/j.sjee.20160406.13

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    AMA Style

    Abasi-obot Iniobong Edifon, Nkan Imo Edwin, Ekpe Unwana Macaulay. Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model. Sci J Energy Eng. 2017;4(6):62-67. doi: 10.11648/j.sjee.20160406.13

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  • @article{10.11648/j.sjee.20160406.13,
      author = {Abasi-obot Iniobong Edifon and Nkan Imo Edwin and Ekpe Unwana Macaulay},
      title = {Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model},
      journal = {Science Journal of Energy Engineering},
      volume = {4},
      number = {6},
      pages = {62-67},
      doi = {10.11648/j.sjee.20160406.13},
      url = {https://doi.org/10.11648/j.sjee.20160406.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20160406.13},
      abstract = {This paper presents the effect of ambient meteorological parameters on the performance of different photovoltaic (PV) technologies based on PVSyst thermal model. The PV technologies considered are: monocrystalline silicon, polycrystalline silicon, amorphous silicon, microcrystalline and cadmium telluride. The study is conducted with hourly meteorological data obtained from PVSyst software meteo-file for Dakar in Senegal, with site coordinate of 14.5° N and 17.0° W. The results show that the different PV technologies have the same cell temperature because PVSyst uses default adsorption coefficient of 0.9 for the different PV technologies. However, the performance of the different PV technologies in response to the cell temperature differs in respect of their thermal coefficient. Among the five PV technologies studied, amorphous silicon has the lowest thermal coefficient and the best thermal response but the worst solar energy conversion efficiency. This means that amorphous silicon would occupy much more space to achieve the same energy output as the other PV technologies studied. Conversely, polycrystalline silicon has the highest thermal coefficient and the worst thermal response but its solar energy conversion efficiency is relatively higher than those of other PV technologies except monocrystalline silicon. The polycrystalline silicon with the same PV module size will yield more energy than its equivalent sized amorphous silicon PV module.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Comparative Analysis of the Performance of Different Photovoltaic (PV) Technologies Based on PVSyst Thermal Model
    AU  - Abasi-obot Iniobong Edifon
    AU  - Nkan Imo Edwin
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    DO  - 10.11648/j.sjee.20160406.13
    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
    JO  - Science Journal of Energy Engineering
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    EP  - 67
    PB  - Science Publishing Group
    SN  - 2376-8126
    UR  - https://doi.org/10.11648/j.sjee.20160406.13
    AB  - This paper presents the effect of ambient meteorological parameters on the performance of different photovoltaic (PV) technologies based on PVSyst thermal model. The PV technologies considered are: monocrystalline silicon, polycrystalline silicon, amorphous silicon, microcrystalline and cadmium telluride. The study is conducted with hourly meteorological data obtained from PVSyst software meteo-file for Dakar in Senegal, with site coordinate of 14.5° N and 17.0° W. The results show that the different PV technologies have the same cell temperature because PVSyst uses default adsorption coefficient of 0.9 for the different PV technologies. However, the performance of the different PV technologies in response to the cell temperature differs in respect of their thermal coefficient. Among the five PV technologies studied, amorphous silicon has the lowest thermal coefficient and the best thermal response but the worst solar energy conversion efficiency. This means that amorphous silicon would occupy much more space to achieve the same energy output as the other PV technologies studied. Conversely, polycrystalline silicon has the highest thermal coefficient and the worst thermal response but its solar energy conversion efficiency is relatively higher than those of other PV technologies except monocrystalline silicon. The polycrystalline silicon with the same PV module size will yield more energy than its equivalent sized amorphous silicon PV module.
    VL  - 4
    IS  - 6
    ER  - 

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Author Information
  • Department of Electrical & Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria

  • Department of Electrical & Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria

  • Department of Electrical & Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria

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