Open Access

ARTICLE

A Real-Time IoT and Cloud Monitoring Framework for Performance Enhancement of Solar Evacuated Tube Heaters

Josmell Alva Alcántara¹, Elder Mendoza Orbegoso¹, Nattan Roberto Caetano², Luis Julca Verástegui¹, Juan Bengoa Seminario¹, Jimmy Silvera Otañe¹, Yvan Leiva Calvanapón¹, Giulio Lorenzini^3,*
1 Department of Mechatronics Engineering, Faculty of Engineering, National University of Trujillo, Trujillo, 13001, Peru
2 Department of Mechanical Engineering, Federal University of Santa María, Santa Maria, 97105-900, Rio Grande do Sul, Brazil
3 Department of Industrial Systems and Technologies Engineering, University of Parma, Parma, 43124, Italy
* Corresponding Author: Giulio Lorenzini. Email:

Frontiers in Heat and Mass Transfer https://doi.org/10.32604/fhmt.2025.074995

Received 23 October 2025; Accepted 15 December 2025; Published online 04 January 2026

Abstract

The continuous improvement of solar thermal technologies is essential to meet the growing demand for sustainable heat generation and to support global decarbonization efforts. This study presents the design, implementation, and validation of a real-time monitoring framework based on the Internet of Things (IoT) and cloud computing to enhance the thermal performance of evacuated tube solar water heaters (ETSWHs). A commercial system and a custom-built prototype were instrumented with Industry 4.0 technologies, including platinum resistance temperature detectors (PT100), solar irradiance and wind speed sensors, a programmable logic controller (PLC), a SCADA interface, and a cloud-connected IoT gateway. Data were processed locally and transmitted to cloud storage for continuous analysis and visualization via a mobile application. Experimental results demonstrated the prototype’s superior thermal energy storage capacity −47.4 vs. 36.2 MJ for the commercial system, representing a 31%—achieved through the novel integration of Industry 4.0 architecture with an optimized collector design. This improvement is attributed to optimized geometric design parameters, including a reduced tilt angle, increased inter-tube spacing, and the incorporation of an aluminum reflective surface. These modifications collectively enhanced solar heat absorption and reduced optical losses. The framework effectively identified thermal stratification, monitored environmental effects on heat transfer, and enabled real-time system diagnostics. By integrating automation, IoT, and cloud computing, the proposed architecture establishes a scalable and replicable model for the intelligent management of solar thermal systems, facilitating predictive maintenance and future integration with artificial intelligence for performance forecasting. This work provides a practical, data-driven approach to digitizing and optimizing heat transfer systems, promoting more efficient and sustainable solar thermal energy applications.

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Keywords

Evacuated tube solar water heaters; Industry 4.0; Internet of Things; cloud computing; digitization

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