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New procedure and field-tests to assess photovoltaic module performance

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  • Paulescu, Marius
  • Badescu, Viorel
  • Dughir, Ciprian

Abstract

The theoretical performance of a photovoltaic (PV) module is typically evaluated by using models based on equivalent circuits whose parameters are derived from data listed in manufacture's datasheet. Few manufactures provide detailed enough datasheets to allow using highly accurate models. In many cases simplified models have to be used due to missing information. This paper proposes a new procedure to evaluate PV modules performance. The procedure is based on the four-parameter model, which can be used with input data provided by most manufactures. Firstly, the parameters extraction in standard test conditions is discussed. Secondly, an algorithm for PV module performance estimation under real weather conditions is proposed. The procedure is validated on a commercial PV module. Estimations and field-test data are found to be in good agreement. The difference between the response time of the pyranometer (tens of seconds) and the response time of the PV module (almost instantaneous) is found to be an important source of errors. This aspect has not been previously discussed in literature with sufficient detail. The proposed procedure represents a feasible tool for calculating the performance of PV modules described by a limited set of data, operating in arbitrary weather conditions.

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  • Paulescu, Marius & Badescu, Viorel & Dughir, Ciprian, 2014. "New procedure and field-tests to assess photovoltaic module performance," Energy, Elsevier, vol. 70(C), pages 49-57.
    • Handle: RePEc:eee:energy:v:70:y:2014:i:c:p:49-57
    DOI: 10.1016/j.energy.2014.03.085
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    Cited by:

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    3. 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.
    4. Ozden, Talat & Akinoglu, Bulent G. & Turan, Rasit, 2017. "Long term outdoor performances of three different on-grid PV arrays in central Anatolia – An extended analysis," Renewable Energy, Elsevier, vol. 101(C), pages 182-195.
    5. Paulescu, Marius & Stefu, Nicoleta & Dughir, Ciprian & Sabadus, Andreea & Calinoiu, Delia & Badescu, Viorel, 2022. "A simple but accurate two-state model for nowcasting PV power," Renewable Energy, Elsevier, vol. 195(C), pages 322-330.
    6. Andreea Sabadus & Marius Paulescu, 2021. "On the Nature of the One-Diode Solar Cell Model Parameters," Energies, MDPI, vol. 14(13), pages 1-10, July.
    7. Gaglia, Athina G. & Lykoudis, Spyros & Argiriou, Athanassios A. & Balaras, Constantinos A. & Dialynas, Evangelos, 2017. "Energy efficiency of PV panels under real outdoor conditions–An experimental assessment in Athens, Greece," Renewable Energy, Elsevier, vol. 101(C), pages 236-243.
    8. Su, Shanhe & Chen, Xiaohang & Liao, Tianjun & Chen, Jincan & Shih, Tien-Mo, 2016. "Photon-enhanced electron tunneling solar cells," Energy, Elsevier, vol. 111(C), pages 52-56.
    9. 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).
    10. Do, Minh-Thang & Soubdhan, Ted & Benoît Robyns,, 2016. "A study on the minimum duration of training data to provide a high accuracy forecast for PV generation between two different climatic zones," Renewable Energy, Elsevier, vol. 85(C), pages 959-964.
    11. Polo, J. & Fernandez-Neira, W.G. & Alonso-García, M.C., 2017. "On the use of reference modules as irradiance sensor for monitoring and modelling rooftop PV systems," Renewable Energy, Elsevier, vol. 106(C), pages 186-191.
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    13. Park, Nochang & Kim, Ju-Hee & Kim, Hyun-A. & Moon, Jin-Chel, 2017. "Development of an algebraic model that predicts the maximum power output of solar modules including their degradation," Renewable Energy, Elsevier, vol. 113(C), pages 141-147.

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