Motivated by social and economical issues, over the last 20 years, many nuclear power plant owners started a program for the long-term operation (LTO)/plant life management (PLIM) of their older nuclear facilities. A PLIM framework requires both a detailed review of the features of the main safety programs; maintenance, surveillance, and in-service inspection (MS&I); and a complete integration of these safety programs into the general management system of the plant. Therefore, PLIM should address safety, as well as economics, knowledge management, and decision making and provide an overall framework to keep the whole plant in a safe and economically sustainable condition. Moreover, the existence of new external factors, such as extensive use of subcontractors, need for efficient management of spare parts, and request for heavy plant refurbishment programs, demands for updated techniques in the overall management of the plant. Therefore, new organizational models have to be developed to appropriately support the PLIM framework. In recent years, a network of European research organizations (SENUF) carried out many R&D tasks aimed at capturing the aspects of the maintenance programs, where research is mostly needed and at developing suitable optimized maintenance models. Using the outcome of these initiatives, this paper aims at identifying the technical attributes of the PLIM program more directly affecting the decision for a long term safe operation of a nuclear facility and the issues related to its optimal implementation. A comparison of some of the available models is presented and an analysis of the potential impact on safety and nonsafety programs is provided in order to support the development of optimized life management models.
Skip Nav Destination
Article navigation
June 2011
Technology Review
Plant Life Management Models: A Comparison With Analysis of Impact on Both Safety and Nonsafety Issues
Paolo Contri,
Paolo Contri
JRC - Institute for Energy
, Petten 1755LE, The Netherlands
Search for other works by this author on:
Bernhard Elsing
Bernhard Elsing
JRC - Institute for Energy
, Petten 1755LE, The Netherlands
Search for other works by this author on:
Paolo Contri
JRC - Institute for Energy
, Petten 1755LE, The Netherlands
Bernhard Elsing
JRC - Institute for Energy
, Petten 1755LE, The NetherlandsJ. Pressure Vessel Technol. Jun 2011, 133(3): 034001 (5 pages)
Published Online: April 6, 2011
Article history
Received:
June 16, 2009
Revised:
August 23, 2010
Online:
April 6, 2011
Published:
April 6, 2011
Citation
Contri, P., and Elsing, B. (April 6, 2011). "Plant Life Management Models: A Comparison With Analysis of Impact on Both Safety and Nonsafety Issues." ASME. J. Pressure Vessel Technol. June 2011; 133(3): 034001. https://doi.org/10.1115/1.4002553
Download citation file:
49
Views
Get Email Alerts
Cited By
Surface Strain Measurement for Non-Intrusive Internal Pressure Evaluation of a Cannon
J. Pressure Vessel Technol (December 2024)
Dynamic Response and Damage Analysis of a Large Steel Tank Impacted by an Explosive Fragment
J. Pressure Vessel Technol (February 2025)
Related Articles
Asset Management Evaluation: A Pilot Case Study
J. Pressure Vessel Technol (February,2007)
On-Condition Maintenance for Nonmodular Jet Engines: An Experience
J. Eng. Gas Turbines Power (May,2009)
Life Prediction and Monitoring of Nuclear Power Plant Components for Service-Related Degradation
J. Pressure Vessel Technol (February,2001)
On Superquadric Human Modeling and Risk Assessment for Safe Planning of Human-Safe Robotic Systems
J. Mechanisms Robotics (November,2010)
Related Proceedings Papers
Related Chapters
Application of Probabilistic Methods for the Evaluation of Deterministic Deviations from Technical Specifications (PSAM-0277)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Introduction
Computer Vision for Structural Dynamics and Health Monitoring
Use of PSA in Lisencing of EPR 1600 in Finland (PSAM-0160)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)