RENEWVIEW: integrated dual monitoring system for hybrid wind and solar power plants using ESP32

Authors

  • Juan Esteban Castañeda Sánchez Institución Universitaria de Barranquilla
  • Juan David Ramírez Peralta Institución Universitaria de Barranquilla

DOI:

https://doi.org/10.26507/paper.4428

Keywords:

esp32, hybrid renewable energy monitoring, current sensor, dust particle sensor, preventive maintenance, energy efficiency

Abstract

The RENEWVIEW project addresses the problem of the lack of integrated systems for simultaneously monitoring different renewable generation sources. It implements a unified ESP32-based platform that collects, processes, and presents real-time data from hybrid wind-solar installations. For solar components, it monitors voltage, current, and dust particle accumulation; for wind components, it records wind speed, RPM, vibrations, and turbine orientation.

The developed prototype presents three levels of functionality: continuous monitoring through specialized sensors, predictive analysis to identify anomalies, and integrated visualization through customizable dashboards. It is estimated that this system will reduce operational costs by up to 25% and increase generation efficiency by 10-15% through early detection of problems in both technologies.

References

Akbar, M., & Khan, Z. A. (2023). Hybrid renewable energy monitoring: A comprehensive review of contemporary approaches and future directions. Renewable and Sustainable Energy Reviews, 168, 112828.

Bayrak, F., Abu-Rayash, A., & Bani-Hani, E. G. (2022). AI-driven preventive maintenance strategies for renewable energy systems: A critical analysis. Energy Conversion and Management, 255, 115278.

Dhimish, M., Holmes, V., & Mather, P. (2021). Novel photovoltaic module dust monitoring system using Internet of Things. IEEE Transactions on Industrial Informatics, 17(11), 7809-7817.

How to Cite

[1]
J. E. Castañeda Sánchez and J. D. Ramírez Peralta, “RENEWVIEW: integrated dual monitoring system for hybrid wind and solar power plants using ESP32”, EIEI ACOFI, Sep. 2025.

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Published

2025-09-08
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