Managing wind turbine reliability and maintenance via performance-based contract

Tongdan Jin, Yi Ding, Huairui Guo, Naveen Nalajala

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Performance-based contracting (PBC) is reshaping the acquisition, operation, and maintenance of capital equipment. Under the PBC scheme, we propose a holistic approach for lowering the cost of wind turbine ownership while meeting the availability requirement. Our effects are focused on integrated firms who design and market wind turbines, and also provide maintenance and repair service. PBC differs from conventional service contracts in that the wind farmers compensate the service provider for the system performance, not the spare parts and repair labor. We explore the analytical relationship between system cost, reliability and spare parts stocking. This analytical insight into the system performance allows the turbine manufacturer to optimize design, production, and after-sales services. The study aims to create a theoretical basis to facilitate the transition of the maintenance paradigm from a material-based contract to a performance-based contract in the power industry.
    Original languageEnglish
    Title of host publicationIEEE Power & Energy Society General Meeting
    Number of pages6
    PublisherIEEE
    Publication date2012
    ISBN (Print)978-1-4673-2727-5
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE Power and Energy Society General Meeting - Manchester Grand Hyatt, San Diego, United States
    Duration: 22 Jul 201226 Jul 2012
    http://pes-gm.org/2012/
    https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding

    Conference

    Conference2012 IEEE Power and Energy Society General Meeting
    LocationManchester Grand Hyatt
    Country/TerritoryUnited States
    CitySan Diego
    Period22/07/201226/07/2012
    Internet address

    Keywords

    • Asset Management
    • Lifecycle cost analysis
    • Performance-based maintenance
    • Reliability optimization
    • Service parts logistics
    • Wind power generation

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