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Modeling and Experimental Studies of the Photovoltaic System Performance in Climate Conditions of Poland

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  • Slawomir Gulkowski

    (Department of Renewable Energy Engineering, Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B, 20-618 Lublin, Poland)

Abstract

The polycrystalline silicon photovoltaic system located in Poland has been investigated from a modeling and an experimental perspective. The five-parameter single-diode (SD) model was used to compute the current–voltage (I-V) characteristics of the PV modules for weather conditions measured during one year (2022) of PV system operation. Based on the I-V curves, the PV power output, monthly energy yields, and performance were simulated. Besides the single-diode method, the Osterwald model (OM) was used to estimate the power output of the PV system under scrutiny. The modeling results were compared to the experimental data. The determination coefficient ( R 2 ), root mean square error (RMSE), mean bias error (MBE), and relative error (RE) were utilized to quantify the quality of both models. The highest R 2 value of 0.983 (power output) was found for March, a relatively cold and sunny month in the analyzed period. The lowest values of the RMSE and the MBE were found to be 5% and 1%, respectively. A high correlation between the modeled and the experimental daily yield was noticed in June, which was the sunniest month of the year. Median values were found to be 5.88 kWh/kW (measurement), 5.87 kWh/kW (SD), and 5.87 kWh/kW (OM). The RE of the monthly array yield was found to be below 1% (summer half-year) in terms of the single-diode method. The strong correlation between the simulated and the experimental findings was also noticed for the medians of the DC performance ratio ( PR DC ). The median values of the PR DC from May to July were found to be in the range between 0.88 and 0.94.

Suggested Citation

  • Slawomir Gulkowski, 2023. "Modeling and Experimental Studies of the Photovoltaic System Performance in Climate Conditions of Poland," Energies, MDPI, vol. 16(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7017-:d:1256536
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    References listed on IDEAS

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    1. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.
    2. Bala Bhavya Kausika & Wilfried G. J. H. M. van Sark, 2021. "Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands," Energies, MDPI, vol. 14(7), pages 1-16, March.
    3. Gulkowski, Slawomir & Muñoz Diez, José Vicente & Aguilera Tejero, Jorge & Nofuentes, Gustavo, 2019. "Computational modeling and experimental analysis of heterojunction with intrinsic thin-layer photovoltaic module under different environmental conditions," Energy, Elsevier, vol. 172(C), pages 380-390.
    4. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.
    5. 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.
    6. Roberts, Justo José & Mendiburu Zevallos, Andrés A. & Cassula, Agnelo Marotta, 2017. "Assessment of photovoltaic performance models for system simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1104-1123.
    7. 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.
    8. Irene Romero-Fiances & Emilio Muñoz-Cerón & Rafael Espinoza-Paredes & Gustavo Nofuentes & Juan De la Casa, 2019. "Analysis of the Performance of Various PV Module Technologies in Peru," Energies, MDPI, vol. 12(1), pages 1-19, January.
    9. Lim, Li Hong Idris & Ye, Zhen & Ye, Jiaying & Yang, Dazhi & Du, Hui, 2015. "A linear method to extract diode model parameters of solar panels from a single I–V curve," Renewable Energy, Elsevier, vol. 76(C), pages 135-142.
    10. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
    11. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
    12. Agata Zdyb & Slawomir Gulkowski, 2020. "Performance Assessment of Four Different Photovoltaic Technologies in Poland," Energies, MDPI, vol. 13(1), pages 1-17, January.
    13. Torres-Ramírez, M. & Nofuentes, G. & Silva, J.P. & Silvestre, S. & Muñoz, J.V., 2014. "Study on analytical modelling approaches to the performance of thin film PV modules in sunny inland climates," Energy, Elsevier, vol. 73(C), pages 731-740.
    14. Slawomir Gulkowski, 2022. "Specific Yield Analysis of the Rooftop PV Systems Located in South-Eastern Poland," Energies, MDPI, vol. 15(10), pages 1-20, May.
    15. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.
    16. Mariusz T. Sarniak, 2020. "Researches of the Impact of the Nominal Power Ratio and Environmental Conditions on the Efficiency of the Photovoltaic System: A Case Study for Poland in Central Europe," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
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