Evaluation of Long-Term Performance of a Solar Home System (SHS) Monitoring System on Harsh Environments

Dataloggers installed in rural regions of developing countries need to be autonomous, robust, and have good recording capacity as they may be exposed to harsh environmental conditions. An extremely hot, dry, and dusty climate can imply additional wear and tear toequipment. A test procedurewas designed and run in a confined space to control climate conditions to test the datalogger. An outdoor campaign lasting more than three years was performed at the Instituto Madrileño de Estudios Avanzados (IMDEA) Water Institute, in Alcalá de Henares (Madrid, Spain) and at the Escuela Politécnica Superior (EPS) Linares (Jaén, Spain) to test the low-cost datalogger under real conditions. The results demonstrated that it was robust and endured extreme weather conditions. In order to avoid the loss of data, a new version with a redundant system based on an SD card was implemented and tested under real conditions.

[1]  S. A. Jumaat,et al.  Solar Energy Measurement Using Arduino , 2018 .

[2]  Renata Imaculada Soares Pereira,et al.  IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant , 2018 .

[3]  Manuel Fuentes,et al.  Lessons learned from the field analysis of PV installations in the Saharawi refugee camps after 10 years of operation , 2018, Renewable and Sustainable Energy Reviews.

[4]  R. P. Frankenthal,et al.  Corrosion of Electronic Materials and Devices , 1986, Science.

[5]  D. Harries,et al.  Issues related to rural electrification using renewable energy in developing countries of Asia and Pacific , 2009 .

[6]  Manuel Fuentes,et al.  IoT Application for Real-Time Monitoring of Solar Home Systems Based on Arduino™ With 3G Connectivity , 2019, IEEE Sensors Journal.

[7]  Konstantinos G. Arvanitis,et al.  Smart Solar Panels: In-situ Monitoring of Photovoltaic Panels based on Wired and Wireless Sensor Networks☆ , 2013 .

[8]  Francisco J. Batlles,et al.  A microcontroller-based data-acquisition system for meteorological station monitoring , 2008 .

[9]  Ángel Molina-García,et al.  PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment , 2018, Energies.

[10]  Lakshminarayanan Subramanian,et al.  SIMbaLink: towards a sustainable and feasible solar rural electrification system , 2010, ICTD.

[11]  Carlos Algora,et al.  Real‐time reliability test for a CPV module based on a power degradation model , 2011 .

[12]  Martin E. Andreoni Lopez,et al.  Implementation of wireless remote monitoring and control of solar photovoltaic (PV) system , 2012, 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA).

[13]  Farid Touati,et al.  Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system , 2016 .

[14]  Wooi Ping Hew,et al.  Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system , 2015, Expert Syst. Appl..

[15]  Petros Spachos,et al.  Solar-Powered Smart Agricultural Monitoring System Using Internet of Things Devices , 2018, 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[16]  H. E. Gad,et al.  Development of a new temperature data acquisition system for solar energy applications , 2015 .

[17]  Jorge Aguilera,et al.  Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards , 2014 .

[18]  Luis J. Claros-Marfil,et al.  A new and inexpensive open source data acquisition and controller for solar research: Application to a water-flow glazing , 2016 .

[19]  Andrew Lewis,et al.  Performance evaluation of a cheap, open source, digital environmental monitor based on the Raspberry Pi. , 2016 .

[20]  Manuel Fuentes,et al.  Low-Cost Datalogger Intended for Remote Monitoring of Solar Photovoltaic Standalone Systems Based on Arduino™ , 2019, IEEE Sensors Journal.

[21]  Kuei-Hsiang Chao,et al.  A remote supervision fault diagnosis meter for photovoltaic power generation systems , 2017 .