Remote and Real-Time Monitoring of Solar Photovoltaic Facilities Using a Reconfigurable Internet of Things Platform

Renewable energy sources are generally considered the best alternative and reliable to fossil fuels for supplying our expanding energy needs. In particular, solar cells can be used to convert solar energy into electrical power. Numerous solar farms are located in isolated areas like deserts, mountains, and roofs. To optimize the operation of these solar photovoltaic systems, effective monitoring is essential. The most fundamental method of monitoring solutions is offline data collection, which requires the setup and installation of data-collecting equipment as well as local storage for a predetermined amount of time. However, this conventional monitoring method does not provide real-time data. Therefore, there is a notable performance improvement when solar photovoltaic power generation is managed through the use of IoT (Internet of Things) technology. This project aims to develop an IoT-based control system for the installation, remote, and real-time monitoring of solar photovoltaic systems. The collected output performance data using IoT technology were more reliable and it can be saved in the cloud and may be retrieved through an application with a dynamic internet connection from any location in the world. This allows for quick defect diagnosis and maintenance by providing instant insights into the installation's condition.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icercs63125.2024.10895831
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Remote and Real-Time Monitoring of Solar Photovoltaic Facilities Using a Reconfigurable Internet of Things Platform

Debabrata Barik, Saldiva Paulo Hilário do N., Bala Murali Nagarajan, Thiyagu Chenniappan
IoT-based Smart Home Systems
article

Remote and Real-Time Monitoring of Solar Photovoltaic Facilities Using a Reconfigurable Internet of Things Platform

Debabrata Barik, Saldiva Paulo Hilário do N., Bala Murali Nagarajan, Thiyagu Chenniappan
article en

Abstract

Renewable energy sources are generally considered the best alternative and reliable to fossil fuels for supplying our expanding energy needs. In particular, solar cells can be used to convert solar energy into electrical power. Numerous solar farms are located in isolated areas like deserts, mountains, and roofs. To optimize the operation of these solar photovoltaic systems, effective monitoring is essential. The most fundamental method of monitoring solutions is offline data collection, which requires the setup and installation of data-collecting equipment as well as local storage for a predetermined amount of time. However, this conventional monitoring method does not provide real-time data. Therefore, there is a notable performance improvement when solar photovoltaic power generation is managed through the use of IoT (Internet of Things) technology. This project aims to develop an IoT-based control system for the installation, remote, and real-time monitoring of solar photovoltaic systems. The collected output performance data using IoT technology were more reliable and it can be saved in the cloud and may be retrieved through an application with a dynamic internet connection from any location in the world. This allows for quick defect diagnosis and maintenance by providing instant insights into the installation's condition.

KPR Institute of Engineering and Technology (IN), Karpagam Academy of Higher Education (IN)
Affordable and clean energy
Openalex Percentile: Top 74%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.