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MODELS OF A SOLAR PANEL CLEANING DEVICE BASED ON IOT TECHNOLOGIES

IoT技術に基づくソーラーパネル洗浄装置のモデル (AI 翻訳)

Matmurod Yuldashev

Zenodoプレプリント2026-06-02#再生可能エネルギー
DOI: 10.5281/zenodo.20508261
原典: https://zenodo.org/records/20508261
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🤖 gxceed AI 要約

日本語

本研究は、IoT技術を活用したソーラーパネル自動洗浄装置のモデルを提案。センサーと自動化機構により、パネル表面の汚れを検知・除去し、発電効率を向上させる。従来の洗浄方法と比較し、水資源や労力を削減し、持続可能なエネルギー管理に貢献する。

English

This paper presents an IoT-based solar panel cleaning device model that uses sensors and automated mechanisms to detect and remove contaminants, improving PV efficiency. It reduces water usage and labor costs compared to traditional methods, supporting sustainable energy management.

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

日本は太陽光発電の導入が進んでいるが、パネル清掃の効率化は重要な課題。本モデルは、メンテナンスコスト削減とエネルギー収量向上に寄与する可能性があり、日本の再生可能エネルギー拡大に間接的に資する。

In the global GX context

This paper addresses a practical challenge in solar PV maintenance—cleaning—which is relevant globally for improving renewable energy efficiency. The IoT approach offers a low-cost, automated solution that can be adopted in various regions, including desert areas or regions with high dust levels.

👥 読者別の含意

🔬研究者:Provides a model for IoT-enabled cleaning that can be further developed and tested in field experiments.

🏢実務担当者:Offers a concept for automated cleaning that could reduce O&M costs for solar farm operators.

📄 Abstract(原文)

The rapid development of renewable energy technologies has increased the use of solar photovoltaic (PV) systems worldwide. However, the accumulation of dust, sand, bird droppings, and other contaminants on solar panel surfaces significantly reduces their efficiency and power output. Traditional cleaning methods often require considerable water resources, labor, and maintenance costs. This paper presents the design and analysis of an Internet of Things (IoT)-based solar panel cleaning device model. The proposed system integrates sensors, microcontrollers, wireless communication technologies, and automated cleaning mechanisms to monitor panel conditions and perform cleaning operations when necessary. The model aims to improve energy generation efficiency, reduce maintenance costs, and support sustainable energy management. The study discusses the architecture, operational principles, advantages, and future development prospects of IoT-based solar panel cleaning systems.

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