Low-Cost Cloud Enabled Wireless Monitoring System for Linear Fresnel Solar Plants

Rowida Meligy; Peio Lopez Iturri; José Javier Astrain; Imanol Picallo; Hicham Klaina; Mohamed Rady; Filippo Paredes; Fabio Montagnino; Ana Alejos; Francisco Falcone

doi:10.3390/ecsa-7-08173

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Low-Cost Cloud Enabled Wireless Monitoring System for Linear Fresnel Solar Plants

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¹ Mechanical Engineering Department, Helwan University, Egypt.
² Department of Electric, Electronic and Communication Engineering, Public University of Navarre
³ Computer and Mathematics Engineering Department, Public University of Navarre
⁴ Department of Signal theory and Communications, University of Vigo
⁵ Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, Rabigh Campus, Saudi Arabia
⁶ Consorzio ARCA - Solar Living Lab, Viale delle Scienze Building 16, 90128 Palermo, Italy
⁷ Dept. Teoría de la Señal y Comunicación, Universidade de Vigo

Published: 14 November 2020 by MDPI in 7th International Electronic Conference on Sensors and Applications session Sensor Networks

https://doi.org/10.3390/ecsa-7-08173

Abstract:

This work presents the design of a cost-effective online wireless monitoring system of two Linear Fresnel solar plants (LFR) located in two different countries. The first LFR plant is installed in SEKEM medical center near Belbis city, Egypt, while the second one is installed in the campus of the University of Palermo, Italy. The proposed system is a standalone system that reduces the interaction of labors as it offers online wireless monitoring for important parameters of the LFR such as solar irradiance, ambient temperature, outlet and inlet collector temperature and heat transfer fluid flow. For that purpose, a Wireless Sensor Network (WSN) based on Arduino Mega boards coupled with XBee modules are used. The ZigBee XBee modules operate at 2.4 GHz, which have the advantages of being low cost and relatively low power consumption. The wireless nodes are supplied by solar paneled power banks, and send the data to a Cloud in order to monitor both LFR plants remotely. The proposed system has been implemented and tested successfully before the future deployment on the LFR plants.

Keywords: Linear Fresnel solar plant; Wireless Sensor Networks; ZigBee; Cloud; Monitoring

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