• DocumentCode
    48652
  • Title

    Determination of Dominant Failure Modes Using FMECA on the Field Deployed c-Si Modules Under Hot-Dry Desert Climate

  • Author

    Shrestha, Sanjay Mohan ; Mallineni, Jaya Krishna ; Yedidi, Karan Rao ; Knisely, Brett ; Tatapudi, Sai ; Kuitche, Joseph ; Tamizhmani, G.

  • Author_Institution
    Photovoltaic Reliability Lab., Arizona State Univ., Phoenix, AZ, USA
  • Volume
    5
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    174
  • Lastpage
    182
  • Abstract
    The failure and degradation modes of about 5900 crystalline-Si glass/polymer modules fielded for six to 16 years in three different photovoltaic (PV) power plants with different mounting systems under the hot-dry desert climate of Arizona are evaluated. Based on the results of this evaluation, failure mode, effect, and criticality analysis, a statistical reliability tool that uses risk priority number is performed for each PV power plant to determine the dominant failure modes in the modules by means of ranking and prioritizing the modes. This study on PV power plants considers all the failure and degradation modes from both safety and performance perspectives and, thus, comes to the conclusion that solder bond fatigue/failure with/without gridline contact fatigue/failure is the most dominant failure/degradation mode for these module types in the hot-dry desert climate of Arizona.
  • Keywords
    elemental semiconductors; failure analysis; fatigue; glass; polymers; reliability; silicon; solar power stations; statistical analysis; Arizona; FMECA; Si; criticality analysis; crystalline-Si glass-polymer modules; degradation modes; failure modes; gridline contact failure; gridline contact fatigue; hot-dry desert climate; mounting systems; photovoltaic power plants; risk priority number; solder bond fatigue; statistical reliability; Degradation; Glass; Metallization; Polymers; Power generation; Reliability; Safety; Failure mode; and criticality analysis (FMECA); effect; reliability; risk priority number (RPN); statistical;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2014.2366872
  • Filename
    6963264