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An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters

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  • Cuce, Erdem
  • Cuce, Pinar Mert
  • Bali, Tulin

Abstract

It is well known that accurate knowledge of photovoltaic cell parameters from the measured current–voltage characteristics is of vital importance for the quality control and the performance assessment of photovoltaic cells/modules. Although many attempts have been made so far for a thorough analysis of cell parameters, there are still significant discrepancies between the previously published results. In this regard, a detailed investigation of cell parameters through a comprehensive experimental and statistical work is important to elucidate the aforementioned contradictions. Therefore in the present work, effects of two main environmental factors on performance parameters of mono-crystalline and poly-crystalline silicon photovoltaic modules have been experimentally investigated. The experiments have been carried out under a calibrated solar simulator for various intensity levels and cell temperatures in the range 200–500W/m2 and 15–60°C, respectively. The results indicated that light intensity has a dominant effect on current parameters. Photocurrent, short circuit current and maximum current increase linearly with increasing intensity level. A new term, solar intensity coefficient, has been defined first time to characterize the solar radiation dependency of current parameters. On the other hand, it has been observed that cell temperature has a dramatic effect on voltage parameters. Open circuit voltage and maximum voltage considerably decrease with increasing cell temperature. Temperature coefficients of voltage parameters have been calculated for each case. Shunt resistance has also been found to be rather sensitive to the variations in cell temperature. Shunt conductance of photovoltaic modules has almost remained constant as light intensity level changed. A linear decrease of series resistance has been observed with increasing cell temperature. Thermodynamic performance assessment of photovoltaic modules has also been done in the study.

Suggested Citation

  • Cuce, Erdem & Cuce, Pinar Mert & Bali, Tulin, 2013. "An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters," Applied Energy, Elsevier, vol. 111(C), pages 374-382.
  • Handle: RePEc:eee:appene:v:111:y:2013:i:c:p:374-382
    DOI: 10.1016/j.apenergy.2013.05.025
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    References listed on IDEAS

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    1. Sacco, Adriano & Rolle, Lidia & Scaltrito, Luciano & Tresso, Elena & Pirri, Candido Fabrizio, 2013. "Characterization of photovoltaic modules for low-power indoor application," Applied Energy, Elsevier, vol. 102(C), pages 1295-1302.
    2. Erdem Cuce & Tulin Bali & Suphi Anil Sekucoglu, 2011. "Effects of passive cooling on performance of silicon photovoltaic cells," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 6(4), pages 299-308, July.
    3. Sharma, Rakhi & Tiwari, G.N., 2012. "Technical performance evaluation of stand-alone photovoltaic array for outdoor field conditions of New Delhi," Applied Energy, Elsevier, vol. 92(C), pages 644-652.
    4. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    5. Li, Ming & Ji, Xu & Li, Guoliang & Wei, Shengxian & Li, YingFeng & Shi, Feng, 2011. "Performance study of solar cell arrays based on a Trough Concentrating Photovoltaic/Thermal system," Applied Energy, Elsevier, vol. 88(9), pages 3218-3227.
    6. Amrizal, N. & Chemisana, D. & Rosell, J.I., 2013. "Hybrid photovoltaic–thermal solar collectors dynamic modeling," Applied Energy, Elsevier, vol. 101(C), pages 797-807.
    7. Orioli, Aldo & Di Gangi, Alessandra, 2013. "A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data," Applied Energy, Elsevier, vol. 102(C), pages 1160-1177.
    8. Ishaque, Kashif & Salam, Zainal & Mekhilef, Saad & Shamsudin, Amir, 2012. "Parameter extraction of solar photovoltaic modules using penalty-based differential evolution," Applied Energy, Elsevier, vol. 99(C), pages 297-308.
    9. Kim, Il-Song, 2006. "Sliding mode controller for the single-phase grid-connected photovoltaic system," Applied Energy, Elsevier, vol. 83(10), pages 1101-1115, October.
    10. Sark, W.G.J.H.M. van, 2011. "Feasibility of photovoltaic - Thermoelectric hybrid modules," Applied Energy, Elsevier, vol. 88(8), pages 2785-2790, August.
    11. Saffa B. Riffat & Erdem Cuce, 2011. "A review on hybrid photovoltaic/thermal collectors and systems," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 6(3), pages 212-241, June.
    12. Chow, T.T., 2010. "A review on photovoltaic/thermal hybrid solar technology," Applied Energy, Elsevier, vol. 87(2), pages 365-379, February.
    13. Sandrolini, L. & Artioli, M. & Reggiani, U., 2010. "Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis," Applied Energy, Elsevier, vol. 87(2), pages 442-451, February.
    14. Durisch, Wilhelm & Tille, Dierk & Wörz, A. & Plapp, Waltraud, 2000. "Characterisation of photovoltaic generators," Applied Energy, Elsevier, vol. 65(1-4), pages 273-284, April.
    15. Radziemska, E., 2003. "The effect of temperature on the power drop in crystalline silicon solar cells," Renewable Energy, Elsevier, vol. 28(1), pages 1-12.
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