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DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model

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  • Muñoz, J.V.
  • Nofuentes, G.
  • Fuentes, M.
  • de la Casa, J.
  • Aguilera, J.

Abstract

The energy produced by a large PV plant is a paramount parameter for predicting the profitability of the PV system. This prediction generally consists of first estimating the DC energy and then estimating the AC energy. At present, the well-known behavior and reliability of the inverters available on the market make the estimation of the DC energy the most important source of uncertainty in the prediction of the energy produced by a PV installation. This paper presents an experimental validation of a method based on a time-domain integration of Osterwald's model for predicting the DC energy produced by a large PV system. The statistical error indicators RMSEE and MBEE, as well as a study based on scatter plots and best-fit lines, were used to validate the method. Ten large PV systems under operation in Spain were tested. Some of the PV generators exhibited hot spots, snail tracks, blown fuses and, as a result, remarkable drops in their nominal power. Despite such remarkable power decreases, the validated method was demonstrated to perform remarkably well, particularly when the systems operate under high irradiances, displaying values of RMSEE, MBEE and R2 of up to 0.56 %, 0.30 % and 0.999974, respectively.

Suggested Citation

  • Muñoz, J.V. & Nofuentes, G. & Fuentes, M. & de la Casa, J. & Aguilera, J., 2016. "DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model," Energy, Elsevier, vol. 114(C), pages 951-960.
    • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:951-960
    DOI: 10.1016/j.energy.2016.07.064
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    1. Salas, V. & Olías, E., 2009. "Overview of the state of technique for PV inverters used in low voltage grid-connected PV systems: Inverters below 10Â kW," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1541-1550, August.
    2. Salas, V. & Alonso-Abellá, M. & Chenlo, F. & Olías, E., 2009. "Analysis of the maximum power point tracking in the photovoltaic grid inverters of 5kW," Renewable Energy, Elsevier, vol. 34(11), pages 2366-2372.
    3. Spertino, Filippo & Di Leo, Paolo & Cocina, Valeria, 2013. "Economic analysis of investment in the rooftop photovoltaic systems: A long-term research in the two main markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 531-540.
    4. Almonacid, F. & Rus, C. & Pérez-Higueras, P. & Hontoria, L., 2011. "Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks," Energy, Elsevier, vol. 36(1), pages 375-384.
    5. Muñoz, J.V. & Nofuentes, G. & Aguilera, J. & Fuentes, M. & Vidal, P.G., 2011. "Procedure to carry out quality checks in photovoltaic grid-connected systems: Six cases of study," Applied Energy, Elsevier, vol. 88(8), pages 2863-2870, August.
    6. Meyer, E.L & van Dyk, E.E, 2000. "Development of energy model based on total daily irradiation and maximum ambient temperature," Renewable Energy, Elsevier, vol. 21(1), pages 37-47.
    7. Salas, V. & Olías, E., 2011. "Overview of the state of technique for PV inverters used in low voltage grid-connected PV systems: Inverters above 10Â kW," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1250-1257, February.
    8. 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.
    9. Talavera, D.L. & Pérez-Higueras, P. & Ruíz-Arias, J.A. & Fernández, E.F., 2015. "Levelised cost of electricity in high concentrated photovoltaic grid connected systems: Spatial analysis of Spain," Applied Energy, Elsevier, vol. 151(C), pages 49-59.
    10. Francisco J. Gómez-Gil & Xiaoting Wang & Allen Barnett, 2012. "Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations," Energies, MDPI, vol. 5(3), pages 1-20, March.
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    Cited by:

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    2. Nofuentes, Gustavo & de la Casa, Juan & Solís-Alemán, Ernesto M. & Fernández, Eduardo F., 2017. "Spectral impact on PV performance in mid-latitude sunny inland sites: Experimental vs. modelled results," Energy, Elsevier, vol. 141(C), pages 1857-1868.
    3. Manuel Cáceres & Andrés Firman & Jesús Montes-Romero & Alexis Raúl González Mayans & Luis Horacio Vera & Eduardo F. Fernández & Juan de la Casa Higueras, 2020. "Low-Cost I–V Tracer for PV Modules under Real Operating Conditions," Energies, MDPI, vol. 13(17), pages 1-17, August.
    4. 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.
    5. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2020. "Field Analysis of three different silicon-based Technologies in Composite Climate Condition – Part II – Seasonal assessment and performance degradation rates using statistical tools," Renewable Energy, Elsevier, vol. 147(P1), pages 2102-2117.
    6. Singh, Rashmi & Sharma, Madhu & Yadav, Kamlesh, 2022. "Degradation and reliability analysis of photovoltaic modules after operating for 12 years: A case study with comparisons," Renewable Energy, Elsevier, vol. 196(C), pages 1170-1186.

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