Research Article
Improving the Efficiency of a Photovoltaic Module by Fault Diagnosing, Cleaning & Dual Axis Solar Tracking Using Internet of Things ( IOT)
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308613, author={Seema Srinivas and Dr.D.G. Anand and Dr. H.G. Chandrakanth}, title={Improving the Efficiency of a Photovoltaic Module by Fault Diagnosing, Cleaning \& Dual Axis Solar Tracking Using Internet of Things ( IOT)}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={aurdino board stepper motor dual axis tracker pv module self-cleaning}, doi={10.4108/eai.7-6-2021.2308613} }- Seema Srinivas
Dr.D.G. Anand
Dr. H.G. Chandrakanth
Year: 2021
Improving the Efficiency of a Photovoltaic Module by Fault Diagnosing, Cleaning & Dual Axis Solar Tracking Using Internet of Things ( IOT)
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308613
Abstract
A Photovoltaic array monitoring system with wireless sensors are integrated to the PV modules and transfer the status statistics to monitoring field. These sensors are employed for fault detection and observe misbehavior of the cells. In this work we are focusing on voltage, current, irradiance and temperature of individual photovoltaic array and its parameters are studied along with transfer of data’s to the controlling unit. The lab view and aurdino boards are used for the development of storing and displaying along with controlling data received from wireless sensor. These received information are used to study the array conditions including fault finding, shades on the panel, loading.
Copyright © 2021–2024 EAI
