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クラウド分析を備えたIoTベースのスマート太陽光発電監視システムの設計と実装

Design and Implementation of an IoT-Based Smart Solar Photovoltaic Monitoring System with Cloud Analytics (原題)

Sneha Burnwal, Yash Shashwat, Somnath Maity, Santanu Maity, Kisalaya Chakrabarti, Kalyan Sundar Kola

Zenodoプレプリント2026-08-21#再生可能エネルギー経営インパクト: コスト削減対象セクター: renewable_energy
DOI: 10.5281/zenodo.22049867
原典: https://zenodo.org/records/22049867
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🤖 gxceed AI 要約

日本語

本研究は、ESP32マイコンと各種センサーを用いた低コストのIoT太陽光発電監視システムを提案する。電圧・電流・電力・エネルギーをリアルタイムで計測し、クラウド上で可視化する。閾値判定により故障を早期検出し、小規模PVパネルでの実証で有効性を確認した。

English

This study presents a low-cost IoT-based solar PV monitoring system using an ESP32 microcontroller and sensors. It measures voltage, current, power, and energy in real-time, transmits data to the cloud for visualization, and uses threshold-based logic for fault detection. Field testing on a small PV panel confirmed continuous logging and remote monitoring.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では再生可能エネルギーの主力電源化に伴い、分散型太陽光発電の運用監視ニーズが高まっている。本システムは低コストで導入可能な監視ソリューションとして、住宅・農業・中小規模事業所のPV設備の維持管理に貢献し得る。

In the global GX context

Globally, the expansion of distributed solar PV requires cost-effective monitoring solutions to ensure performance and early fault detection. This IoT-based system offers an affordable and scalable approach, aligning with the broader energy transition and the need for operational efficiency in renewable energy assets.

👥 読者別の含意

🔬研究者:Provides a practical implementation of IoT-based monitoring for small-scale PV systems, useful for comparative studies in renewable energy management.

🏢実務担当者:Offers a low-cost solution for remote monitoring and fault detection in solar installations, beneficial for maintenance teams and asset managers.

🏛政策担当者:Demonstrates a scalable approach to enhance the reliability of distributed solar generation, supporting policies for renewable energy integration.

📄 Abstract（原文）

Design and Implementation of an IoT-Based Smart Solar Photovoltaic Monitoring System with Cloud Analytics 1 Sneha Burnwal, 2 Yash Shashwat, 3 Somnath Maity, 4 Santanu Maity, 5 Kisalaya Chakrabarti, 6 Kalyan Sundar Kola 1,2,3 UG student, Dept. of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, Purba Medinipur, West Bengal 4,5,6 Faculty Members, Dept. of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, Purba Medinipur, West Bengal   ABSTRACT The growing dependence on renewable energy has established solar photovoltaic (PV) generation as one of the most widely deployed sustainable energy sources. The output of a PV installation, however, varies continuously with solar irradiance, ambient temperature, dust accumulation, partial shading, and module ageing, and faults that develop between manual inspections often remain undetected for extended periods. This study presents a low-cost IoT-based smart solar monitoring system that measures the electrical and environmental parameters of a PV panel in real time. A 0–25 V resistive voltage sensor and an ACS712 Hall-effect current sensor are interfaced with an ESP32 microcontroller, which digitises the readings, applies calibration coefficients, and computes instantaneous power and cumulative energy on the device itself. The processed values are transmitted over Wi-Fi to a cloud platform, where live readings and time-series trends for voltage, current, power, and energy are presented on a dashboard accessible from any browser or mobile device. A local display provides on-site indication, while threshold-based logic flags open-circuit, short-circuit, and low-yield conditions. Field testing on a small PV panel confirmed continuous logging and remote visualisation of the generated data. The system provides an affordable and scalable solution for performance supervision and early fault detection in domestic, institutional, and agricultural PV installations.

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