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