Metrological evaluation of the performance of a grid-connected system in a tropical climate according to IEC 61724-1;2021 and ISO/IEC guide 98-3:2008 (GUM)
DOI:
https://doi.org/10.33448/rsd-v15i4.50849Keywords:
Bankability analysis, Measurement uncertainty, Performance ratio, Metrological traceability, Tropical solar resource.Abstract
This study establishes a technical benchmark for photovoltaic (PV) generation estimates in low-latitude tropical climates. To this end, a comprehensive metrological evaluation was conducted on a 4.41 kWp grid-connected PV system, monitored from June 2013 to May 2014 in strict compliance with IEC 61724-1:2021 and the ISO/IEC Guide 98-3 (GUM). This normative framework ensures metrological traceability and statistical consistency across the analyzed quantities. The Performance Ratio (PR), Capacity Factor (CF), and Final Yield (Yf) serve as synthetic indicators of the system's optical, thermal, and electrical losses. Literature seldom incorporates measurement uncertainties into these metrics, which constrains international comparisons and diminishes inferential reliability. This study applies a full uncertainty treatment, enhancing the statistical robustness of performance estimates. Results indicate an annual Performance Ratio of 0.864 ± 0.054 (k = 2; 95% confidence level), with variations ranging from 0.789 to 0.940. The average Capacity Factor reached 19.2%, while the Final Yield achieved 4.61 kWh/kWp·day—values exceeding typical ranges reported for equivalent systems in tropical regions. The findings demonstrate high solar resource exploitation and confirm the technical viability of PV technology at low latitudes. This study consolidates a solid metrological foundation for inter-system comparisons and for the validation of performance models in tropical environments.
References
Bureau International des Poids et Mesures. (2019). The International System of Units (SI) (9th ed.). https://doi.org/10.59161/si-brochure
Coppitters, B., De Paepe, W., & Contino, F. (2020). Hybrid PV systems in Belgium: Performance and stability. Applied Energy, 261, Article 114354. https://doi.org/10.1016/j.apenergy.2019.114354
Empresa de Pesquisa Energética. (2024). Nota técnica EPE/DEE/050/2024: Incertezas e perdas na estimativa de geração fotovoltaica. Ministério de Minas e Energia.
Femin, V., Veena, R., Petra, M. I., & Mathew, S. (2025). Comparative analysis of different PV technologies under tropical environments. Scientific Reports, 15, Article 16371. https://doi.org/10.1038/s41598-025-16371-9
Friesen, G., Micheli, L., Eder, G. C., Müller, T., Ali, J. M. Y., Rivera, M., Ascencio Vásquez, J., Oreski, G., Burnham, L., Baldus-Jeursen, C., Granlund, A., Urrejola, E., Rodriguez-Gallegos, C. D., & Goriawala, S. (2025). Optimisation of photovoltaic systems for different climates. IEA PVPS Task 13. https://doi.org/10.69766/QSYC8858
Gueymard, C. A., & Myers, D. R. (2009). Evaluation of solar radiation measurements for improved solar resource assessment. Solar Energy, 83(2), 171–185. https://doi.org/10.1016/j.solener.2008.07.015
International Energy Agency. (2020). World energy outlook 2020. https://www.iea.org/reports/world-energy-outlook-2020
International Electrotechnical Commission. (2021). IEC 61724-1:2021: Photovoltaic system performance – Part 1: Monitoring. IEC.
International Organization for Standardization. (2008). ISO/IEC Guide 98-3:2008: Uncertainty of measurement (GUM). ISO.
Jordan, D. C., Kurtz, S. R., & Hansen, C. (2025). Uncertainty analysis for photovoltaic degradation rates. National Renewable Energy Laboratory.
Lal, M., e Singh, A. (2017). Performance evaluation of a rooftop photovoltaic system in tropical India. Renewable Energy, 108, 256–268. https://doi.org/10.1016/j.renene.2017.02.045
Lima, L. C., de Araújo Silva Junior, L., de Oliveira Filho, J. H., & de Araújo Lima, L. (2017). Performance analysis of a grid-connected photovoltaic system in northeastern Brazil. Energy for Sustainable Development, 37, 79–85. https://doi.org/10.1016/j.esd.2017.01.004
Mariano, D. C. L., Calça, M. V. C., Caneppele, F. L., & Dantas, D. G. (2023). Análise de mercado de sistemas de energia solar fotovoltaica com ênfase na área rural brasileira. Research, Society and Development, 12(2), Artigo e7612239830. https://doi.org/10.33448/rsd-v12i2.39830
National Renewable Energy Laboratory. (2018). Best practices for PV system design. https://www.nrel.gov
Pearsall, N., et al. (2018). Long-term performance of PV systems in Australia. Progress in Photovoltaics: Research and Applications, 26(12), 1012–1023. https://doi.org/10.1002/pip.3045
Pereira, A. S., Shitsuka, D. M., Parreira, F. J., & Shitsuka, R. (2018). Metodologia da pesquisa científica [E-book gratuito]. Editora da UFSM
Pillai, R., et al. (2020). Grid-connected PV performance in New Zealand. Renewable and Sustainable Energy Reviews, 134, Article 110314. https://doi.org/10.1016/j.rser.2020.110314
Ransome, S., Wohlgemuth, J., & Marion, B. (2013). Performance analysis of PV systems using regression techniques. Progress in Photovoltaics: Research and Applications, 21(7), 1429–1441. https://doi.org/10.1002/pip.2225
Risemberg, R. I. C., Wakin, M., & Shitsuka, R. (2026). A importância da metodologia científica no desenvolvimento de artigos científicos. E-Acadêmica, 7(1), e0171675. https://doi.org/10.52076/eacad-v7i1.675
Sayed, M., et al. (2019). PV performance under desert conditions in Egypt. Renewable Energy, 139, 1006–1016. https://doi.org/10.1016/j.renene.2019.03.017
Shitsuka, R., Shitsuka, D. M., Pereira, A. S., & Parreira, F. J. (2014). Matemática fundamental para tecnologia (2ª ed.). Editora Érica.
Siqueira, D. C. S., Sousa, V. D. A., & Less, D. F. S. (2022). Sistema fotovoltaico flutuante, principais entraves e desafios de implantação no Brasil: uma revisão de literatura. Research, Society and Development, 11(1), Artigo e45311125084. https://doi.org/10.33448/rsd-v11i1.25084
Tahri, F., et al. (2018). Performance assessment of CIS PV modules in tropical climate. Renewable Energy, 125, 620–630. https://doi.org/10.1016/j.renene.2018.02.095
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