The objective of this paper is to provide electric utilities with a concept for preparing and implementing integrated risk-informed asset management (RIAM) programs for power stations and generating companies. RIAM is a process by which analysts review historical performance and develop predictive logic models and data analyses to predict critical decision support figures-of-merit (or metrics) for generating station managers and electric utility company executives. These metrics include, but are not limited to, the following: profitability, projected revenue, projected costs, asset value, safety (catastrophic facility damage frequency and consequences, etc.), power production availability (capacity factor, etc.), efficiency (heat rate), and others. RIAM applies probabilistic safety assessment (PSA) techniques and generates predictions probabilistically so that metrics information can be supplied to managers in terms of probability distributions as well as point estimates. This enables the managers to apply the concept of “confidence levels” in their critical decision-making processes.
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10th International Conference on Nuclear Engineering
April 14–18, 2002
Arlington, Virginia, USA
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
0-7918-3596-0
PROCEEDINGS PAPER
Integrated Risk-Informed Asset Management for Commercial Nuclear Power Stations
James K. Liming,
James K. Liming
ABS Consulting, Irvine, CA
Search for other works by this author on:
Ernest J. Kee
Ernest J. Kee
STPNOC, Wadsworth, TX
Search for other works by this author on:
James K. Liming
ABS Consulting, Irvine, CA
Ernest J. Kee
STPNOC, Wadsworth, TX
Paper No:
ICONE10-22033, pp. 19-27; 9 pages
Published Online:
March 4, 2009
Citation
Liming, JK, & Kee, EJ. "Integrated Risk-Informed Asset Management for Commercial Nuclear Power Stations." Proceedings of the 10th International Conference on Nuclear Engineering. 10th International Conference on Nuclear Engineering, Volume 2. Arlington, Virginia, USA. April 14–18, 2002. pp. 19-27. ASME. https://doi.org/10.1115/ICONE10-22033
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