RBI and probabilistic life assessment for components of coal and co-fired power plants

Pertti Auerkari, Rami Pohja, Sanni Yli-Olli, Satu Tuurna, Pekka Pohjanne, Ulla McNiven

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    Abstract

    Risk-based inspection (RBI) is not always applied in power plants that are generally not seen to carry similar safety and other hazards as e.g. some branches of the chemical industry. Hence the supporting standardization, industrial guidelines and available services for RBI activities have not been as well established in the power industry. Such support has been addressed for example in the European projects RIMAP, iNTeg-Risk and SafeLife-X, with results that include recommendations towards the evolving European standardization on risk-based assessments. This paper aims to explore the benefits of probabilistic life assessment in supporting RBI and related maintenance planning. The details in the input information, including the progression rates of the active damage mechanisms, will affect the associated uncertainty in the probability of failure, predicted minimum life, and the resulting conclusions on next inspections. However, successful probabilistic treatment of the input information can allow realistic treatments of the models for the indicated or postulated damage mechanisms, and by using for example Monte Carlo approach, the outcome prediction is not sensitive to the mathematical formulation of the individual or combined damage mechanism models. The examples have been selected from components subjected to high temperature service in applications where one can expect unavoidable damage accumulation in long term operation, and/or multiple mechanisms affecting the component life. Implications are discussed in terms of implementation in RBI and other aspects of managing the assets.
    Original languageEnglish
    Title of host publicationProceedings of the 41st MPA-Seminar
    PublisherMaterials Testing Institute University of Stuttgart MPA
    Number of pages11
    Publication statusPublished - 2015
    MoE publication typeB3 Non-refereed article in conference proceedings
    Event41st MPA-Seminar: Fit for Future - Material Qualification, Lifetime Assessment evolving from New Energy Supply Concepts - Stuttgart, Germany
    Duration: 5 Oct 20156 Oct 2015
    Conference number: 41

    Seminar

    Seminar41st MPA-Seminar
    CountryGermany
    CityStuttgart
    Period5/10/156/10/15

    Fingerprint

    Power plants
    Inspection
    Coal
    Standardization
    Chemical industry
    Hazards
    Planning
    Industry
    Temperature

    Keywords

    • risk-based inspection (RBI)
    • life assessment
    • power plant

    Cite this

    Auerkari, P., Pohja, R., Yli-Olli, S., Tuurna, S., Pohjanne, P., & McNiven, U. (2015). RBI and probabilistic life assessment for components of coal and co-fired power plants. In Proceedings of the 41st MPA-Seminar Materials Testing Institute University of Stuttgart MPA.
    Auerkari, Pertti ; Pohja, Rami ; Yli-Olli, Sanni ; Tuurna, Satu ; Pohjanne, Pekka ; McNiven, Ulla. / RBI and probabilistic life assessment for components of coal and co-fired power plants. Proceedings of the 41st MPA-Seminar. Materials Testing Institute University of Stuttgart MPA, 2015.
    @inproceedings{7fe0ebcb800b43f289d12df27f21c3fe,
    title = "RBI and probabilistic life assessment for components of coal and co-fired power plants",
    abstract = "Risk-based inspection (RBI) is not always applied in power plants that are generally not seen to carry similar safety and other hazards as e.g. some branches of the chemical industry. Hence the supporting standardization, industrial guidelines and available services for RBI activities have not been as well established in the power industry. Such support has been addressed for example in the European projects RIMAP, iNTeg-Risk and SafeLife-X, with results that include recommendations towards the evolving European standardization on risk-based assessments. This paper aims to explore the benefits of probabilistic life assessment in supporting RBI and related maintenance planning. The details in the input information, including the progression rates of the active damage mechanisms, will affect the associated uncertainty in the probability of failure, predicted minimum life, and the resulting conclusions on next inspections. However, successful probabilistic treatment of the input information can allow realistic treatments of the models for the indicated or postulated damage mechanisms, and by using for example Monte Carlo approach, the outcome prediction is not sensitive to the mathematical formulation of the individual or combined damage mechanism models. The examples have been selected from components subjected to high temperature service in applications where one can expect unavoidable damage accumulation in long term operation, and/or multiple mechanisms affecting the component life. Implications are discussed in terms of implementation in RBI and other aspects of managing the assets.",
    keywords = "risk-based inspection (RBI), life assessment, power plant",
    author = "Pertti Auerkari and Rami Pohja and Sanni Yli-Olli and Satu Tuurna and Pekka Pohjanne and Ulla McNiven",
    note = "SDA: MIP: MultiDesign",
    year = "2015",
    language = "English",
    booktitle = "Proceedings of the 41st MPA-Seminar",
    publisher = "Materials Testing Institute University of Stuttgart MPA",
    address = "Germany",

    }

    Auerkari, P, Pohja, R, Yli-Olli, S, Tuurna, S, Pohjanne, P & McNiven, U 2015, RBI and probabilistic life assessment for components of coal and co-fired power plants. in Proceedings of the 41st MPA-Seminar. Materials Testing Institute University of Stuttgart MPA, 41st MPA-Seminar, Stuttgart, Germany, 5/10/15.

    RBI and probabilistic life assessment for components of coal and co-fired power plants. / Auerkari, Pertti; Pohja, Rami; Yli-Olli, Sanni; Tuurna, Satu; Pohjanne, Pekka; McNiven, Ulla.

    Proceedings of the 41st MPA-Seminar. Materials Testing Institute University of Stuttgart MPA, 2015.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    TY - GEN

    T1 - RBI and probabilistic life assessment for components of coal and co-fired power plants

    AU - Auerkari, Pertti

    AU - Pohja, Rami

    AU - Yli-Olli, Sanni

    AU - Tuurna, Satu

    AU - Pohjanne, Pekka

    AU - McNiven, Ulla

    N1 - SDA: MIP: MultiDesign

    PY - 2015

    Y1 - 2015

    N2 - Risk-based inspection (RBI) is not always applied in power plants that are generally not seen to carry similar safety and other hazards as e.g. some branches of the chemical industry. Hence the supporting standardization, industrial guidelines and available services for RBI activities have not been as well established in the power industry. Such support has been addressed for example in the European projects RIMAP, iNTeg-Risk and SafeLife-X, with results that include recommendations towards the evolving European standardization on risk-based assessments. This paper aims to explore the benefits of probabilistic life assessment in supporting RBI and related maintenance planning. The details in the input information, including the progression rates of the active damage mechanisms, will affect the associated uncertainty in the probability of failure, predicted minimum life, and the resulting conclusions on next inspections. However, successful probabilistic treatment of the input information can allow realistic treatments of the models for the indicated or postulated damage mechanisms, and by using for example Monte Carlo approach, the outcome prediction is not sensitive to the mathematical formulation of the individual or combined damage mechanism models. The examples have been selected from components subjected to high temperature service in applications where one can expect unavoidable damage accumulation in long term operation, and/or multiple mechanisms affecting the component life. Implications are discussed in terms of implementation in RBI and other aspects of managing the assets.

    AB - Risk-based inspection (RBI) is not always applied in power plants that are generally not seen to carry similar safety and other hazards as e.g. some branches of the chemical industry. Hence the supporting standardization, industrial guidelines and available services for RBI activities have not been as well established in the power industry. Such support has been addressed for example in the European projects RIMAP, iNTeg-Risk and SafeLife-X, with results that include recommendations towards the evolving European standardization on risk-based assessments. This paper aims to explore the benefits of probabilistic life assessment in supporting RBI and related maintenance planning. The details in the input information, including the progression rates of the active damage mechanisms, will affect the associated uncertainty in the probability of failure, predicted minimum life, and the resulting conclusions on next inspections. However, successful probabilistic treatment of the input information can allow realistic treatments of the models for the indicated or postulated damage mechanisms, and by using for example Monte Carlo approach, the outcome prediction is not sensitive to the mathematical formulation of the individual or combined damage mechanism models. The examples have been selected from components subjected to high temperature service in applications where one can expect unavoidable damage accumulation in long term operation, and/or multiple mechanisms affecting the component life. Implications are discussed in terms of implementation in RBI and other aspects of managing the assets.

    KW - risk-based inspection (RBI)

    KW - life assessment

    KW - power plant

    M3 - Conference article in proceedings

    BT - Proceedings of the 41st MPA-Seminar

    PB - Materials Testing Institute University of Stuttgart MPA

    ER -

    Auerkari P, Pohja R, Yli-Olli S, Tuurna S, Pohjanne P, McNiven U. RBI and probabilistic life assessment for components of coal and co-fired power plants. In Proceedings of the 41st MPA-Seminar. Materials Testing Institute University of Stuttgart MPA. 2015