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RESEARCH PAPERS

Asset Management Evaluation: A Pilot Case Study

[+] Author and Article Information
C. E. Bauby

 EDF R&D, 6, quai Watier , 78401 Chatou Cedex, Francecatherine.bauby@edf.fr

B. Charbonnier, P. Haik, S. Lacombe, J. Lonchampt, E. Remy

 EDF R&D, 6, quai Watier , 78401 Chatou Cedex, France

J. Pressure Vessel Technol 129(1), 148-154 (Apr 24, 2006) (7 pages) doi:10.1115/1.2389032 History: Received December 09, 2005; Revised April 24, 2006

The long term management of a production asset raises several major issues, among which rank the technical management of the plant, its economics, and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) that take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance), and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate, and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.

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Copyright © 2007 by American Society of Mechanical Engineers
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Figures

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Figure 1

SSC management must be “rolled-up” to implement a plant-wide strategy

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Figure 2

The key phases of SSC level management

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Figure 3

Overall architecture of the developed tool

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Figure 4

Specific algorithm for the Monte Carlo simulation based evaluation

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Figure 5

Evolution of the mean of the costs with time for the pilot case

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Figure 6

Evolution of the mean of the relative NPV with time for the pilot case

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Figure 7

Probability density function of the relative NPV for the pilot case

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Figure 8

Evolution of the mean of the relative NPV with time for the pilot case and for the modified strategy on the turbine

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Figure 9

Evolution of the mean of the income due to the gain in power level with time for the pilot case and for the modified strategy on the turbine

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Figure 10

Evolution of the mean of the costs with time for the pilot case and for the modified strategy on the turbine

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