Open-Source Internet of Things-Based Supervisory Control and Data Acquisition System for Photovoltaic Monitoring and Control Using HTTP and TCP/IP Protocols

This study presents a cost-effective IoT-based Supervisory Control and Data Acquisition system for the real-time monitoring and control of photovoltaic systems in a rural Pakistani community. The system utilizes the Blynk platform with Arduino Nano, GSM SIM800L, and ESP-32 microcontrollers. The key...

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Veröffentlicht in:Energies (Basel) Jg. 17; H. 16; S. 4083
Hauptverfasser: Khalid, Wajahat, Jamil, Mohsin, Khan, Ashraf Ali, Awais, Qasim
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.08.2024
Schlagworte:
Alternative energy sources
Arduino Nano
Automation
Communication
Data transmission
Electricity
Energy industry
Energy management systems
Energy resources
ESP-32
Flexibility
Fossil fuels
GSM SIM800L
Internet access
Internet of Things
IoT
Literature reviews
Methods
Photovoltaic power generation
Remote control
Remote searching
renewable energy
Renewable resources
Rural areas
SCADA (supervisory control and data acquisition)
Sensors
Small & medium sized enterprises-SME
Smartphones
Software
Solar energy
Canada
Abbottabad Pakistan
Pakistan
ISSN:1996-1073, 1996-1073
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Abstract This study presents a cost-effective IoT-based Supervisory Control and Data Acquisition system for the real-time monitoring and control of photovoltaic systems in a rural Pakistani community. The system utilizes the Blynk platform with Arduino Nano, GSM SIM800L, and ESP-32 microcontrollers. The key components include a ZMPT101B voltage sensor, ACS712 current sensors, and a Maximum Power Point Tracking module for optimizing power output. The system operates over both Global System for Mobile Communications and Wi-Fi networks, employing universal asynchronous receiver–transmitter serial communication and using the transmission control protocol/Internet protocol and hypertext transfer protocol for data exchange. Testing showed that the system consumes only 3.462 W of power, making it highly efficient. With an implementation cost of CAD 35.52, it offers an affordable solution for rural areas. The system achieved an average data transmission latency of less than 2 s over Wi-Fi and less than 5 s over GSM, ensuring timely data updates and control. The Blynk 2.0 app provides data retention capabilities, allowing users to access historical data for performance analysis and optimization. This open-source SCADA system demonstrates significant potential for improving efficiency and user engagement in renewable energy management, offering a scalable solution for global applications.
AbstractList This study presents a cost-effective IoT-based Supervisory Control and Data Acquisition system for the real-time monitoring and control of photovoltaic systems in a rural Pakistani community. The system utilizes the Blynk platform with Arduino Nano, GSM SIM800L, and ESP-32 microcontrollers. The key components include a ZMPT101B voltage sensor, ACS712 current sensors, and a Maximum Power Point Tracking module for optimizing power output. The system operates over both Global System for Mobile Communications and Wi-Fi networks, employing universal asynchronous receiver–transmitter serial communication and using the transmission control protocol/Internet protocol and hypertext transfer protocol for data exchange. Testing showed that the system consumes only 3.462 W of power, making it highly efficient. With an implementation cost of CAD 35.52, it offers an affordable solution for rural areas. The system achieved an average data transmission latency of less than 2 s over Wi-Fi and less than 5 s over GSM, ensuring timely data updates and control. The Blynk 2.0 app provides data retention capabilities, allowing users to access historical data for performance analysis and optimization. This open-source SCADA system demonstrates significant potential for improving efficiency and user engagement in renewable energy management, offering a scalable solution for global applications.
Audience Academic
Author Awais, Qasim
Khalid, Wajahat
Jamil, Mohsin
Khan, Ashraf Ali
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SubjectTerms Alternative energy sources
Arduino Nano
Automation
Communication
Data transmission
Electricity
Energy industry
Energy management systems
Energy resources
ESP-32
Flexibility
Fossil fuels
GSM SIM800L
Internet access
Internet of Things
IoT
Literature reviews
Methods
Photovoltaic power generation
Remote control
Remote searching
renewable energy
Renewable resources
Rural areas
SCADA (supervisory control and data acquisition)
Sensors
Small & medium sized enterprises-SME
Smartphones
Software
Solar energy
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Title Open-Source Internet of Things-Based Supervisory Control and Data Acquisition System for Photovoltaic Monitoring and Control Using HTTP and TCP/IP Protocols
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