A Web-Based System for Photovoltaic Energy Generation: Use of Mathematical Models for Irradiance in Brazil
Resumo
In the context of renewable energy generation, software tools are essential for addressing the sector’s main challenges. For instance, Photovoltaic (PV) energy demands a study of the PV plant allocation before its deployment to improve efficiency. However, the visualization tools that perform this task face some usability issues, such as the complementary artifacts to analyze and data-driven modeling. In that sense, this work proposes an artifact with an intuitive and user-friendly platform built as a web-based application with open-source technologies, considering the PV mathematical models. The web-based system gathers a set of mathematical models available and was tested for Brazilian irradiance simulation, allowing inclined plane analysis and other variants.
Palavras-chave:
photovoltaic energy, mathematical models, irradiance, simulation, web platform
Referências
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da Silva, M. K., Narvaez, D. I., de Melo, K. B., and Villalva, M. G. (2018). Comparative Analysis of Transposition Models Applied to Photovoltaic Systems Using Meteonorm and NASA SSE Databases. In 2018 13th IEEE International Conference on Industry Applications (INDUSCON), pages 237–241.
de Souza Silva, J. L., Barbosa de Melo, K., dos Santos, K. V., Yoiti Sakô, E., Kitayama da Silva, M., Soeiro Moreira, H., Bolognesi Archilli, G., Ito Cypriano, J. G., Campos, R. E., Pereira da Silva, L. C., and Gradella Villalva, M. (2022). Case study of photo-voltaic power plants in a model of sustainable university in Brazil. Renewable Energy, 196:247–260.
de Souza Silva, J. L., Costa, T. S., de Melo, K. B., Sakô, E. Y., Moreira, H. S., and Villalva, M. G. (2020). A Comparative Performance of PV Power Simulation Software with an Installed PV Plant. In 2020 IEEE International Conference on Industrial Technology (ICIT), pages 531–535. ISSN: 2643-2978.
Fraczek, K. and Plechawska-Wojcik, M. (2017). Comparative Analysis of Relational and Non-relational Databases in the Context of Performance in Web Applications. In Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., and Kostrzewa, D., editors, Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, Communications in Computer and Information Science, pages 153–164, Cham. Springer International Publishing.
Gaviria, J. F., Narváez, G., Guillen, C., Giraldo, L. F., and Bressan, M. (2022). Machine learning in photovoltaic systems: A review. Renewable Energy, 196:298–318.
Godboly, M. (2016). Frontend Architecture for Desing Systems: A modern blueprint for scalable and sustainable websites. O’Reilly Media, Inc., first edition edition.
Gray, J. L. (2010). The Physics of the Solar Cell. In Handbook of Photovoltaic Science and Engineering, pages 82–129. John Wiley & Sons, Ltd. Section: 3 eprint: [link].
Hay, J. E. and McKAY, D. C. (1985). Estimating Solar Irradiance on Inclined Surfaces: A Review and Assessment of Methodologies. International Journal of Solar Energy, 3(4-5):203–240. Publisher: Taylor & Francis.
INPE and LABREN (2017). Atlas Brasileiro de Energia Solar. [link].
Kalay, M. , Kılıç, B., and Sağlam, (2022). Systematic review of the data acquisition and monitoring systems of photovoltaic panels and arrays. Solar Energy, 244:47–64.
Klein, S. (1977). Calculation of monthly average insolation on tilted surfaces. Solar Energy, 19(4):325–329.
Klein, S. A. and Theilacker, J. C. (1981). An Algorithm for Calculating Monthly-Average Radiation on Inclined Surfaces. Journal of Solar Energy Engineering, 103(1):29–33.
Kozhirbayev, Z. and Sinnott, R. O. (2017). A performance comparison of container-based technologies for the Cloud. Future Generation Computer Systems, 68:175–182.
Lima, G. P. D., Albuquerque, B. F., Sakô, E. Y., Silva, J. L. d. S., Moreira, H. S., and Villalva, M. G. (2020). Avaliação de desempenho para usina fotovoltaica de 1 MWp em Santa Rita do Sapucaí-MG. Congresso Brasileiro de Energia Solar - CBENS.
Plechawska-Wójcik, M. and Rykowski, D. (2016). Comparison of Relational, Document and Graph Databases in the Context of the Web Application Development. In Grzech, A., Borzemski, L., Światek, J., and Wilimowska, Z., editors, Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part II, Advances in Intelligent Systems and Computing, pages 3–13, Cham. Springer International Publishing.
Python (2024). WebFrameworks - Python Wiki. [link].
Santos, , Rüther, R., Nascimento, L., and Junior, L. (2012). Ábacos para análise simplificada de orientação e inclinação de sistemas solares fotovoltaicos integrados a edificações. IV Congresso Brasileiro de Energia Solar e V Conferencia Latino-Americana da ISES, pages 1–9.
Solargis, World Bank, and Energy Sector Management Assistance Program (ESMAP) (2019a). Global Solar Atlas. [link].
Solargis, World Bank, and Energy Sector Management Assistance Program (ESMAP) (2019b). Global Solar Atlas 2.0 : Technical Report. Technical report. [link] Report.
Soltesz, S., Pötzl, H., Fiuczynski, M. E., Bavier, A., and Peterson, L. (2007). Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. ACM SIGOPS Operating Systems Review, 41(3):275–287.
Susan J. Fowler (2017). Microsserviços prontos para produção: Construindo sistemas padronizados em uma organização de engenharia de software. novatec.
UNFCCC (1997). Kyoto Protocol Reference Manual on Accounting of Emissions and Assigned Amounts | UNFCCC.
Villalva, M. G. (2015). Energia solar fotovoltaica: conceitos e aplicações. Érica, São Paulo, 2 edition.
Whitaker, C. M., Townsend, T. U., Razon, A., Hudson, R. M., and Vallvé, X. (2010). PV Systems. In Handbook of Photovoltaic Science and Engineering, pages 841–895.
John Wiley & Sons, Ltd. Section: 19 eprint: [link].
Zammetti, F. (2022). Modern Full-Stack Development: Using TypeScript, React, Node.js, Webpack, Python, Django, and Docker. Apress, Berkeley, CA.
Publicado
05/12/2024
Como Citar
NUNES, Isabelle F. S.; BARROS, Tárcio A. S.; FANTINATO, Denis G..
A Web-Based System for Photovoltaic Energy Generation: Use of Mathematical Models for Irradiance in Brazil. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 12. , 2024, Ceres/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 119-128.
DOI: https://doi.org/10.5753/erigo.2024.4791.
