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    태양광 모듈의 고장 원인분석과 유지 보수

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    https://www.riss.kr/link?id=T16738673

    • 저자
    • 발행사항

      경산 : 경일대학교 일반대학원, 2023

    • 학위논문사항

      학위논문(석사) -- 경일대학교 일반대학원 , 메카트로닉스공학과 , 2023. 2

    • 발행연도

      2023

    • 작성언어

      한국어

    • 발행국(도시)

      경상북도

    • 형태사항

      49 ; 26 cm

    • 일반주기명

      지도교수: 최은혁

    • UCI식별코드

      I804:22002-200000667209

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    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Recently, as interest in new and renewable energy increases, the proportion of solar power plants is very high. In order to continuously maintain the amount of power generated by the solar power plant installed in this way, a system that is regularly managed, repaired, and inspected is required and demanded. It would take a lot of time and money to do this inspection system by hand, but with this inspection using a thermal imaging drone, you will be able to quickly find and take action.
    In addition, the module, which accounts for the largest share in a solar power plant, may deteriorate in performance or be judged unsuitable for various tests due to various factors. The types of defects vary greatly depending on the environment in which the module is manufactured and installed, but the statistical evaluation through this study will be of great help in understanding some of the common defects. The use of the data collection method studied here greatly simplifies the comparison of defective modules within these studies. In addition, by observing the hot spot phenomenon caused by various environmental exposures in advance, it will be possible to prevent not only financial loss but also various safety accidents caused by the risk of fire.
    As drone technology develops and becomes an important tool for inspecting solar power plants, the technology for collecting and processing data using drones will also develop, and the technology for analyzing data will also be refined and errors will be reduced. In the future, solar inspection using this thermal imaging drone will become mainstream, enabling more efficient maintenance and management of installed solar power plant.
    번역하기

    Recently, as interest in new and renewable energy increases, the proportion of solar power plants is very high. In order to continuously maintain the amount of power generated by the solar power plant installed in this way, a system that is regularly ...

    Recently, as interest in new and renewable energy increases, the proportion of solar power plants is very high. In order to continuously maintain the amount of power generated by the solar power plant installed in this way, a system that is regularly managed, repaired, and inspected is required and demanded. It would take a lot of time and money to do this inspection system by hand, but with this inspection using a thermal imaging drone, you will be able to quickly find and take action.
    In addition, the module, which accounts for the largest share in a solar power plant, may deteriorate in performance or be judged unsuitable for various tests due to various factors. The types of defects vary greatly depending on the environment in which the module is manufactured and installed, but the statistical evaluation through this study will be of great help in understanding some of the common defects. The use of the data collection method studied here greatly simplifies the comparison of defective modules within these studies. In addition, by observing the hot spot phenomenon caused by various environmental exposures in advance, it will be possible to prevent not only financial loss but also various safety accidents caused by the risk of fire.
    As drone technology develops and becomes an important tool for inspecting solar power plants, the technology for collecting and processing data using drones will also develop, and the technology for analyzing data will also be refined and errors will be reduced. In the future, solar inspection using this thermal imaging drone will become mainstream, enabling more efficient maintenance and management of installed solar power plant.

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    목차 (Table of Contents)

    • 제 1 장 서론 1
    • 1-1. 연구의 배경 및 필요성 1
    • 1-2. 연구의 목적 3
    • 1-3. 국내외 동향 4
    • 제 1 장 서론 1
    • 1-1. 연구의 배경 및 필요성 1
    • 1-2. 연구의 목적 3
    • 1-3. 국내외 동향 4
    • 제 2 장 태양광 모듈 9
    • 2-1. 태양광 모듈의 분류 9
    • 2-2. 태양광 모듈 진단 12
    • 제 3 장 불량 모듈 분석 21
    • 3-1. 불량 모듈 분류 21
    • 3-2. 불량 모듈에 따른 열화상 패턴분석 39
    • 제 4 장 상용화 및 현장적용 고찰 41
    • 4-1. 열화상 드론 촬영 분석 41
    • 4-2. 열화상 패턴과 실제 이상 상태 비교 42
    • 제 5 장 결론 44
    • [ 참 고 문 헌 ]
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