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Parameters extraction from commercial solar cells I-V characteristics and shunt analysis

Author

Listed:
  • Chen, Yifeng
  • Wang, Xuemeng
  • Li, Da
  • Hong, Ruijiang
  • Shen, Hui

Abstract

In this paper, an optimized method on the basis of polynomial fitting and Lambert W function is presented to extract parameters from the current-voltage (I-V) characteristics of commercial silicon solar cells. Since the experimental outcomes have significant impact on the precision of extracted parameters, polynomial fitting serves to overcome the obstacles of measurement noise in this method. The Lambert W function is employed to translate the transcendental equation into explicit analytical solution. Comparing with the as-reported parameters of a silicon cell and a plastic cell in the previous literature, the interesting outcomes demonstrate that the proposed approach is helpful for obtaining precise extracted data. This is further showed by the good agreements between the fitted I-V curve and the experimental results of a commercial monocrystalline silicon solar cell. Moreover, full extracted parameters of a badly shunted multicrystalline silicon solar cells before and after laser isolation process are conducted and investigated, the good fitting results finally show the validity of this attempt again.

Suggested Citation

  • Chen, Yifeng & Wang, Xuemeng & Li, Da & Hong, Ruijiang & Shen, Hui, 2011. "Parameters extraction from commercial solar cells I-V characteristics and shunt analysis," Applied Energy, Elsevier, vol. 88(6), pages 2239-2244, June.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:6:p:2239-2244
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    References listed on IDEAS

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    1. Bakos, G.C., 2009. "Distributed power generation: A case study of small scale PV power plant in Greece," Applied Energy, Elsevier, vol. 86(9), pages 1757-1766, September.
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    Citations

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    Cited by:

    1. Tong, Nhan Thanh & Pora, Wanchalerm, 2016. "A parameter extraction technique exploiting intrinsic properties of solar cells," Applied Energy, Elsevier, vol. 176(C), pages 104-115.
    2. Che, Quande & Yang, Hongxing & Lu, Lin & Wang, Yuanhao, 2013. "Preparation of lead-free nanoglass frit powder for crystalline silicon solar cells," Applied Energy, Elsevier, vol. 112(C), pages 657-662.
    3. repec:eee:appene:v:202:y:2017:i:c:p:189-198 is not listed on IDEAS
    4. Fathabadi, Hassan, 2015. "Lambert W function-based technique for tracking the maximum power point of PV modules connected in various configurations," Renewable Energy, Elsevier, vol. 74(C), pages 214-226.
    5. Lo Brano, Valerio & Ciulla, Giuseppina, 2013. "An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data," Applied Energy, Elsevier, vol. 111(C), pages 894-903.
    6. Deihimi, M.H. & Naghizadeh, R.A. & Meyabadi, A. Fattahi, 2016. "Systematic derivation of parameters of one exponential model for photovoltaic modules using numerical information of data sheet," Renewable Energy, Elsevier, vol. 87(P1), pages 676-685.
    7. Laudani, Antonino & Fulginei, Francesco Riganti, 2014. "Comments on “An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data” (Appl. Energy 111 (2013) 894–903)," Applied Energy, Elsevier, vol. 129(C), pages 395-397.
    8. Jiang, Lian Lian & Maskell, Douglas L. & Patra, Jagdish C., 2013. "Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm," Applied Energy, Elsevier, vol. 112(C), pages 185-193.
    9. repec:eee:appene:v:211:y:2018:i:c:p:774-791 is not listed on IDEAS
    10. Senturk, A. & Eke, R., 2017. "A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values," Renewable Energy, Elsevier, vol. 103(C), pages 58-69.

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