メカトロニクスシステムを用いたPVパネルの自動太陽追尾に関する実験研究
Experimental Study On Automatic Solar Tracking Of Pv Panels Using Mechatronics Systems (原題)
ORUGANTI RAVI TEJA, Dr.M.Senthil Kumar
🤖 gxceed AI 要約
日本語
本論文は、IoT技術を用いた二軸太陽追尾と能動的性能監視システムを設計・実装し、太陽光パネルのエネルギー変換効率を最大化することを目指す。光依存抵抗器で太陽位置を検出し、Arduinoとモーター駆動で追尾角度を最適化する。温度異常時にはファンと水ポンプで冷却し、NodeMCU経由でクラウドにリアルタイムデータを送信する。実験結果は追尾精度と熱管理の有効性を示し、スマートグリッドへの拡張可能性を提示する。
English
This paper designs and implements a dual-axis solar tracking and active performance monitoring system using IoT technology to maximize PV energy conversion efficiency. Light-dependent resistors detect peak irradiance, and an Arduino controls motors for optimal alignment. Thermal management via fan and water pump activates on abnormal thresholds, while real-time data is uploaded to a cloud platform via NodeMCU. Experimental results show improved tracking accuracy and thermal management, suggesting scalability for smart grid and renewable energy applications.
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導入拡大に伴い、太陽光発電の効率向上が重要課題である。本システムは、追尾技術とIoT監視を組み合わせることで、発電効率の向上と遠隔監視の実現に寄与し、日本のFIT制度後の自立化やスマートグリッド構築に資する可能性がある。
In the global GX context
Globally, solar tracking systems are recognized for enhancing PV efficiency, and this study adds an IoT-based monitoring and thermal management layer, aligning with trends in smart grid integration and renewable energy optimization. The findings are relevant for regions with high solar irradiance and for advancing distributed energy resource management.
👥 読者別の含意
🔬研究者:Provides experimental validation of an IoT-integrated dual-axis solar tracker with thermal management, useful for further research in PV efficiency and smart grid integration.
🏢実務担当者:Offers a scalable design for solar tracking systems that can improve energy yield and remote monitoring, applicable for solar farm operators and renewable energy project developers.
🏛政策担当者:Demonstrates a technology that can support renewable energy targets and grid stability, informing policies on solar energy adoption and smart grid development.
📄 Abstract（原文）
Solar Tracking Systems Can Greatly Enhance The PV Energy Collection Efficiency, But Fixed Panel Positioning And Ambient Thermal Stress Can Decrease The Total PV Energy Conversion Efficiency. In This Paper, A Dual Axis Solar Tracking And Active Performance Monitoring System Using IoT Technology Is Designed And Implemented To Capture Maximum Solar Energy While Ensuring Safe Operation Of The System. The Proposed System Utilizes Light Dependent Resistors To Detect The Peak Solar Irradiance And Activates DC And Servo Motors With Help Of An L293D Driver For Maximizing The Alignment Angle Of The Solar Panels. The Arduino Uno Is Used To Acquire The Local Data From The Sensors Such As Output Voltage, Ambient Temperature And Humidity, From A DHT11 Sensor. The CPU Fan And A CPU AC Water Pump Are Integrated And Automatically Powered On When Abnormal Thermal Thresholds Are Breached, Thus Minimizing Efficiency Loss Due To These Conditions. A Real-time Diagnostic Data Is Continuously Uploaded To An IoT Cloud-based Platform Through The NodeMCU Module For Remote Monitoring And Analysis, And A Local I2C LCD Display And A Battery Backed Power Unit Is Included. Experimental Results Show Better Tracking Accuracy, Effective Thermal Management, And Satisfactory Remote Data Transmission, Which Makes The Proposed System Scalable For The Smart Grid And Renewable Energy Applications.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/22227601first seen 2026-09-02 04:25:36 · last seen 2026-09-03 04:37:43
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