A Study of IOT Based Real-Time Monitoring Multiple Solar Power Remote Monitoring

ABSTRACT This paper presents the design and implementation of an IoT-based real-time remote monitoring system for multiple solar power sources using the ESP32 microcontroller. The system is developed to monitor and compare the performance of two solar panels-one monocrystalline and one polycrystalline-under similar environmental conditions. Voltage and current sensors are integrated with each panel to accurately measure electrical output. The ESP32 collects data from the sensors and transmits it via Wi-Fi to the ThingSpeak cloud platform, where it is visualized and analyzed in real time. This setup enables users to remotely track and evaluate the efficiency, stability, and behavior of both solar panel types. The system offers a scalable and cost-effective solution for solar energy monitoring, supporting further research and practical applications in renewable energy optimization and management. Keywords: IoT, ESP32, Solar Power Monitoring, Monocrystalline Solar Panel, Polycrystalline Solar Panel, Voltage Sensor, Current Sensor.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-24
DOI
https://doi.org/10.55041/ijsrem48596
Primary Topic
Smart Grid and Power Systems
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article
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article

A Study of IOT Based Real-Time Monitoring Multiple Solar Power Remote Monitoring

Dipali E. Bhatkar
1 links
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Smart Grid and Power Systems
article

A Study of IOT Based Real-Time Monitoring Multiple Solar Power Remote Monitoring

Dipali E. Bhatkar
article en

Abstract

ABSTRACT This paper presents the design and implementation of an IoT-based real-time remote monitoring system for multiple solar power sources using the ESP32 microcontroller. The system is developed to monitor and compare the performance of two solar panels-one monocrystalline and one polycrystalline-under similar environmental conditions. Voltage and current sensors are integrated with each panel to accurately measure electrical output. The ESP32 collects data from the sensors and transmits it via Wi-Fi to the ThingSpeak cloud platform, where it is visualized and analyzed in real time. This setup enables users to remotely track and evaluate the efficiency, stability, and behavior of both solar panel types. The system offers a scalable and cost-effective solution for solar energy monitoring, supporting further research and practical applications in renewable energy optimization and management. Keywords: IoT, ESP32, Solar Power Monitoring, Monocrystalline Solar Panel, Polycrystalline Solar Panel, Voltage Sensor, Current Sensor.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Korea Electric Power Corporation (South Korea) (KR)
Openalex Percentile: Top 90%
Smart Grid and Power Systems
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