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Estimating operating cell temperature of BIPV modules in Thailand

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  • Trinuruk, Piyatida
  • Sorapipatana, Chumnong
  • Chenvidhya, Dhirayut

Abstract

Several models have been developed to estimate the operating cell temperatures of photovoltaic (PV) modules because they directly affect the performance of each PV module. In this study, two prediction models used most commonly, the nominal operating cell temperature (NOCT) model and the Sandia National Laboratory temperature prediction model (SNL), were investigated for their suitability in the prediction of PV module's temperatures for building integrated photovoltaic (BIPV) installation in the tropical climate conditions of Thailand. It was found that, in general, the SNL model tends to give better results of temperature prediction than those of the NOCT model. Nevertheless, both models are strongly over-biased in temperature predictions. The discrepancies of the predictions are basically caused by the dissimilarity of the BIPV installation and the standard installation as specified by the models, rather than the effect of differences in climatic conditions between the temperate and tropical zones. In the worst case, it was found that the highest value of the mean bias error (MBE) is +8°C, or equivalent to +21% of the mean observed temperature, and the root mean square error (RMSE) is ±10°C, or equivalent to ±24% of the mean observed temperature. However, although these errors were large, their effects on the accuracy of the final prediction of the electrical power output generated by the PV module over a long term would not be great. The error of the expected generated energy output would not be more than 6% of the averaged actual energy output, which is acceptable for most applications.

Suggested Citation

  • Trinuruk, Piyatida & Sorapipatana, Chumnong & Chenvidhya, Dhirayut, 2009. "Estimating operating cell temperature of BIPV modules in Thailand," Renewable Energy, Elsevier, vol. 34(11), pages 2515-2523.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:11:p:2515-2523
    DOI: 10.1016/j.renene.2009.02.027
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    1. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
    2. Wang, Yiping & Tian, Wei & Ren, Jianbo & Zhu, Li & Wang, Qingzhao, 2006. "Influence of a building's integrated-photovoltaics on heating and cooling loads," Applied Energy, Elsevier, vol. 83(9), pages 989-1003, September.
    3. Malik, A.Q. & Damit, Salmi Jan Bin Haji, 2003. "Outdoor testing of single crystal silicon solar cells," Renewable Energy, Elsevier, vol. 28(9), pages 1433-1445.
    4. Mattei, M. & Notton, G. & Cristofari, C. & Muselli, M. & Poggi, P., 2006. "Calculation of the polycrystalline PV module temperature using a simple method of energy balance," Renewable Energy, Elsevier, vol. 31(4), pages 553-567.
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    9. D'Orazio, M. & Di Perna, C. & Di Giuseppe, E., 2014. "Experimental operating cell temperature assessment of BIPV with different installation configurations on roofs under Mediterranean climate," Renewable Energy, Elsevier, vol. 68(C), pages 378-396.
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    15. Kaplanis, S. & Kaplani, E. & Kaldellis, J.K., 2022. "PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency a," Renewable Energy, Elsevier, vol. 181(C), pages 235-249.
    16. Royo, Patricia & Ferreira, Víctor J. & López-Sabirón, Ana M. & Ferreira, Germán, 2016. "Hybrid diagnosis to characterise the energy and environmental enhancement of photovoltaic modules using smart materials," Energy, Elsevier, vol. 101(C), pages 174-189.
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    18. Kesler, Selami & Kivrak, Sinan & Dincer, Furkan & Rustemli, Sabir & Karaaslan, Muharrem & Unal, Emin & Erdiven, Utku, 2014. "The analysis of PV power potential and system installation in Manavgat, Turkey—A case study in winter season," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 671-680.
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