Realization of a constant monitoring function that automatically detects the occurrence of high temperature hot spots in solar cells

2019 Fiscal Year Final Research Report

• Project/Area Number: 17K06331
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Power engineering/Power conversion/Electric machinery
• Research Institution: Ube National College of Technology
• Principal Investigator: Nanno Ikuo 宇部工業高等専門学校, 機械工学科, 教授 (40647723)
• Co-Investigator(Kenkyū-buntansha): 濱田 俊之 宇部工業高等専門学校, 電気工学科, 准教授 (20733695)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Keywords: 太陽電池 / ホットスポット / 自動検知 / 常時監視

Outline of Final Research Achievements

With the spread of photovoltaic power generation systems, new safety problems (serious failures) such as fire cases have occurred. A method has already been established to detect a hot spot, which is one of the causes of a fire, and a bypass diode (BPD) failure, which is the cause of the fire, by periodic inspection. However, it is complicated and there is a problem that it may be too late due to low frequency inspection once every few years. Therefore, we proposed an automatic diagnosis method based on a research funded by KAKENHI. In addition, it was clarified that dealing with all environmental conditions is a practical issue.

Free Research Field

太陽光発電

Academic Significance and Societal Importance of the Research Achievements

本研究成果の学術的意義は，異常再現モデルと診断ルールにつながる点である。今回実際の故障に即した異常系再現モデルの構築の準備が行えた。今後、実用課題が解決し、提案する異常系再現モデルが完成すれば、故障の原因究明・対策が実現でき，故障状態を見分ける新たな知見と，この知見からこれまでになかった実用的な診断ルールが創出される。このアルゴリズムが住宅用PVSの住人の生命と財産を救い、大きな社会的意義になる。