A mobile educational tool designed for teaching and dissemination of grid connected photovoltaic systems

Abstract Many developing countries that are recently incorporating distributed grid connected photovoltaic systems (GCPVSs) into their electric grid, have a deficit of specialized institutions to carry out activities of teaching, research and training people on this application. Training tools that provide hands-on experience on GCPVSs, allowing the measurement of important parameters in this application, are significant sources of dissemination of this technology. In this context, a mobile, cost-effective, training tool, known as GCPVS-MT (GCPVS-Mobile Trainer), has been developed with the purpose of assisting in training courses, academic activities and disseminating the application. This paper describes the design of the tool and discusses its utilization, providing examples of its usage in measuring important characteristics of a GCPVS. The paper presents an evaluation of the uncertainty associated with measurements of the tool and a survey assessment with students that used the trainer, making possible to evaluate its effectiveness as an educational tool.

[1]  Mujahed Al-Dhaifallah,et al.  Performance of data acquisition system for monitoring PV system parameters , 2017 .

[2]  Daniel T. Cotfas,et al.  Design and implementation of RELab system to study the solar and wind energy , 2016 .

[3]  Ahmad Adamu Galadima,et al.  Arduino as a learning tool , 2014, 2014 11th International Conference on Electronics, Computer and Computation (ICECCO).

[4]  Sungchul Lee,et al.  A Framework for Environmental Monitoring with Arduino-Based Sensors Using Restful Web Service , 2014, 2014 IEEE International Conference on Services Computing.

[5]  Carlos A. Canesin,et al.  Comparative analysis of MPPT techniques for PV applications , 2011, 2011 International Conference on Clean Electrical Power (ICCEP).

[6]  F. Martínez-Moreno,et al.  Uncertainties on the outdoor characterization of PV modules and the calibration of reference modules , 2017 .

[7]  D. Calinoiu,et al.  Arduino and LabVIEW in educational remote monitoring applications , 2014, 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.

[8]  F. Almonacid,et al.  A simple accurate model for the calculation of shading power losses in photovoltaic generators , 2013 .

[9]  João Tavares Pinho,et al.  Analysis of Characteristic Parameters of Commercial Photovoltaic Modules , 2014 .

[10]  Chris Hendrickson,et al.  Preparing future engineers for challenges of the 21st century: Sustainable engineering , 2010 .

[11]  Nils Reiners,et al.  PV-systems for demonstration and training purposes in South America , 2016, 2016 International Energy and Sustainability Conference (IESC).

[12]  Kanungo Barada Mohanty,et al.  A review on MPPT techniques of PV system under partial shading condition , 2017 .

[13]  Elli Verhulst,et al.  Development of a hands-on toolkit to support integration of ecodesign in engineering programmes , 2015 .

[14]  D. Prince Winston,et al.  Maximum power extraction in solar renewable power system - a bypass diode scanning approach , 2018, Comput. Electr. Eng..

[15]  Jubaer Ahmed,et al.  The application of soft computing methods for MPPT of PV system: A technological and status review , 2013 .

[16]  Javier Diz-Bugarin,et al.  Cooperative Development of an Arduino-Compatible Building Automation System for the Practical Teaching of Electronics , 2014, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje.

[17]  Saad Mekhilef,et al.  Grid-connected isolated PV microinverters: A review , 2017 .

[18]  C. Castro,et al.  ePV-Trainer: Software for dimensioning stand-alone and grid-connected photovoltaic systems for educational purposes , 2017 .

[19]  F. Martinez-Moreno,et al.  Experimental model to estimate shading losses on PV arrays , 2010 .