Improving the Efficiency of a Photovoltaic Module by Fault Diagnosing, Cleaning & Dual Axis Solar Tracking Using Internet of Things ( IOT)

Srinivas, Seema and Anand, Dr.D.G. and Chandrakanth, Dr. H.G. (2021) Improving the Efficiency of a Photovoltaic Module by Fault Diagnosing, Cleaning & Dual Axis Solar Tracking Using Internet of Things ( IOT). In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: aurdino board stepper motor dual axis tracker pv module self-cleaning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 11 Jun 2021 08:05
Last Modified: 11 Jun 2021 08:05
URI: https://eprints.eudl.eu/id/eprint/3927

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