Overview of EDF Life Cycle Management and Nuclear Asset Management Methodology and Tools

2008 ◽  
Author(s):  
P. Hai¨k ◽  
K. Fessart ◽  
E. Remy ◽  
J. Lonchampt
Keyword(s):  
Life Cycle ◽  
Case Studies ◽  
Asset Management ◽  
Capital Investment ◽  
Life Cycle Management ◽  
Software Tools ◽  
Decision Makers ◽  
Operation And Maintenance ◽  
Plant Level

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) which take into account multiple criteria including safety (which is paramount) and performance. In this context, EDF “PWR Durability I & II” research projects have consecutively been launched, since 2001, at EDF - Research & Development in order to develop methods and tools for EDF fleet. The aim of this paper is to summarize and analyze the research work that has been performed by EDF - R&D (in the field of decision making for nuclear power plant maintenance and operation) during the past seven year, in order to characterize the issues that have been or could be addressed with the developed methodology and tools. As a result, in this paper, we first remind the reader of the EDF overall methodology for asset management and its adaptations to plant-level life cycle management and to fleet-level component major replacement or capital investment management. We then focus on the three software tools that implement this methodology in order to allow decision makers, in several different contexts (life-cycle management, plant level operation and maintenance optimization, major component replacement ...) to define, evaluate and analyze long term plant operation and maintenance policies, major component replacement policies and capital investment strategies. We also show how the methodology and the software tools were used, from 2003 to 2007, on several pilot case studies. Examples of technical and economic results obtained for two pilot case studies (one at the plant level, the other at the fleet level) are described as well as the kinds of conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies or compare different plants. We also analyze the added value of probabilistic evaluations and of our “rolling-up” process that allows to take into account interactions between the components of the plant or between the plants. Finally, we propose a classification of issues that can be addressed with our methodology and tools and introduce some perspectives for our future work.

“Adaptative” User Interface as a Support for Evaluation Analysis in the Context of Asset Management

2008 ◽  
Author(s):  
P. Hai¨k ◽  
S. Parfouru ◽  
K. Fessart ◽  
J. Lonchampt ◽  
E. Remy
Keyword(s):  
User Interface ◽  
Case Studies ◽  
Asset Management ◽  
Capital Investment ◽  
Management Strategies ◽  
Research Work ◽  
Software Tools ◽  
Decision Makers ◽  
Plant Level

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) which take into account multiple criteria including safety (which is paramount) and performance. In this context, EDF “PWR Durability I & II” research projects have consecutively been launched, since 2001, at EDF – Research & Development in order to develop methods and tools for EDF fleet. The aim of this paper is: • to summarize and analyze the research work that has been performed by EDF – R&D in the field of decision making for nuclear power plant maintenance and operation during the past seven year; • to highlight the strong and weak points of the developed methodology and tools and to identify the research work needed in order to ensure their use by EDF decision makers; • to introduce and illustrate our last development based on the use of an “adaptative” man/machine user interface in order to allows technical/strategic experts and decision makers to consult the useful pieces of knowledge in a context dependent way and, thus, facilitate the validation of the knowledge-base content and the analysis of the processed results. As a result, in this paper, we first remind the reader of the EDF overall methodology for asset management and its adaptations to plant-level life cycle management and to fleet-level component major replacement or capital investment management. We then focus on the three software tools that implement this methodology in order to allow decision makers, in several different contexts to define, evaluate and analyze long term plant operation and maintenance policies, major component replacement policies and capital investment strategies. We also show how the methodology and the software tools were used, from 2003 to 2007, on several pilot case studies. Examples of technical and economic results obtained for plant level pilot case study is quickly described as well as the kinds of conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies or compare different plants. We then present the opinion of EDF’s decision makers about the developedmethodology and tools — and their use — and our understanding of their feedback. Lastly, we illustrate, using examples of technical and economic knowledge, data and results obtained from our previous pilot case studies, how the concept of an “adaptative” man/machine user interface could be used in order to facilitate the mastering of the methodology and tools’ complexity and to support decision makers’ evaluation and analysis of long term asset management strategies.

Asset Management Evaluation: Extended Pilot Case Studies

2007 ◽  
Author(s):  
P. Hai¨k ◽  
C. Bauby ◽  
J. Lonchampt ◽  
E. Remy
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Added Value ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

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) which 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 03 [1] and PVP 04 [2], 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 tools — introduced in PVP 04 [2] and PVP 05 [4] — that implement 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, in 2006, on two pilot case studies. Examples of 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 or compare different plants. We also analyze the added value of probabilistic evaluations and of our “rolling-up” process that allows to take into account interactions existing between the components of the plant. Finally, we introduce some of the possible uses of our methodology and tools.

Asset Management Evaluation: A Pilot Case Study

2006 ◽  
Vol 129 (1) ◽  
pp. 148-154
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

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.

Asset Management Evaluation: A Pilot Case Study

2005 ◽  
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

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) which 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.

Asset Management Evaluation Methods: The EDF Perspective

2003 ◽  
Author(s):  
Catherine E. Bauby ◽  
Vale´ry E. Just ◽  
Caroline Garreau
Keyword(s):  
Asset Management ◽  
Economic Assessment ◽  
Decision Makers ◽  
Component Level ◽  
Technical Management ◽  
Management Evaluation ◽  
Equipment Reliability ◽  
Plant Level ◽  
And Performance

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 (until the end of the life of the asset) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we describe the French context where EDF (Electricite´ de France) is both Plant Owner and Operator of a fleet of 58 PWRs. We introduce a three-level methodology for asset management: 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 theoretical and practical links one can draw between the component level and the plant level. We describe several plant-wide indicators that are used to assess the value of the asset and we show how they can be inferred from the component-level technical and economic assessment (long-term equipment reliability, maintenance strategies, ...) by « rolling up » component level plans into a plant-wide decision process while taking into account the various sources of uncertainty associated with this assessment. We finally exemplify how this process could be applied to the life management of nuclear assets. To conclude, it appears asset management can be a major means for assessing and enhancing the long term value of a production unit while meeting everyday constraints.

scholarly journals Symbiosis of life-cycle structural design and asset management based on Building Information Modeling: Application for industrial facility equipment

2020 ◽  
Vol 12 (1) ◽  
pp. 2170-2180
Author(s):  
Lisa Lenz ◽  
Kai Christian Weist ◽  
Marvin Hoepfner ◽  
Panagiotis Spyridis ◽  
Mike Gralla
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Large Scale ◽  
Fatigue Loading ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Cycle Performance ◽  
Industrial Facilities ◽  
Building Information ◽  
Time Dependencies

AbstractIn the last few years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implemented – such as industrial facilities – the design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building information modelling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue-relevant loading in concrete.

Linking Scientific Research to Development Agenda

2018 ◽  
pp. 374-391
Author(s):  
P. K. Kenabatho ◽  
B. P. Parida ◽  
B. Matlhodi ◽  
D.B. Moalafhi
Keyword(s):  
Case Studies ◽  
Scientific Community ◽  
Scientific Research ◽  
Decision Makers ◽  
Knowledge Generation ◽  
Policy Makers ◽  
Scientific Investigations ◽  
Development Agenda ◽  
The Impact

In recent years, the scientific community has been urged to undertake research that can immediately have impact on development issues, including national policies, strategies, and people's livelihoods, among others. While this is a fair call from decision makers, it should also be realized that science by nature is about innovation, discovery and knowledge generation. In this context, there is need for a balance between long term scientific investigations and short term scientific applications. With regard to the former, researchers spend years investigating (or need data of sufficient record length) to provide sound and reliable solutions to a problem at hand while in the latter, it is possible to reach a solution with few selected analyses. In all cases, it is advisable that researchers, where possible should link their studies to topical development issues in their case studies. In this paper, we use a hydrometeorological project in the Notwane catchment, Botswana, to show the importance of linking research to development agenda for mutual benefit of researchers and policy makers. The results indicate that some key development issues are being addressed by the Project and the scope exists to improve the impact of the project.

Asset Life Cycle Plans

2017 ◽  
pp. 259-287 ◽  
Author(s):  
R. J. (Richard) Ruitenburg ◽  
A. J. J. (Jan) Braaksma ◽  
L. A. M. (Leo) van Dongen
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Life Cycle Management ◽  
Business Value ◽  
Life Cycle Approach ◽  
Strategic Decisions ◽  
Management Standards ◽  
Complete Life Cycle ◽  
Physical Assets ◽  
Multidisciplinary Perspective

Effective management of physical assets should deliver maximum business value. Therefore, Asset Management standards such as PAS 55 and ISO 55000 ask for a life cycle approach. However, most existing methods focus only on the short term of the asset's life or the estimation of its remaining life. These methods do not consider alignment to changing corporate objectives in a variable context, nor do they adopt a multidisciplinary perspective. This chapter argues that, to create maximum value, Asset Management should be a multidisciplinary and strategic practice that considers the complete life cycle of the asset: Asset Life Cycle Management. A practical twelve-step approach is presented to develop an Asset Life Cycle Plan (ALCP) in which expert sessions are used to identify the main lifetime impacts that influence the creation of business value from the use of the asset. The steps are illustrated with an example from practice. The chapter concludes that the ALCP supports asset managers in making long-term strategic decisions in a timely and effective manner.

“Adaptative” User Interface for Expert Knowledge Validation and Evaluations Interpretation in an Asset Management Process

2007 ◽  
Author(s):  
P. Hai¨k ◽  
S. Parfouru ◽  
C. Bauby ◽  
S. Mahe
Keyword(s):  
User Interface ◽  
Asset Management ◽  
Expert Knowledge ◽  
Decision Makers ◽  
Technical Management ◽  
Base Content ◽  
Maintenance Policies ◽  
And Performance

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) which 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. We then focus on the knowledge model and on the software tools that implement this methodology in order to gather, preserve, share, maintain and exploit the expert knowledge needed for asset management and to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly, as the quality of the processed plant level evaluations (operation & maintenance strategies are evaluated, at a plantlevel, through a set of technical and economic indicators) and their interpretation relies on the quality of the knowledge captured in the tools, we focus on the definition of a “adaptative” user interface — based on Electronic Structured Documents — that allows technical/strategic experts and decision makers to consult the useful pieces of knowledge in a context dependent way. Such an interface, which, in a near future, should be fully implemented in the tools will facilitate the validation of the knowledge-base content and the analysis of the processed results.

Prospect for Implementation of Road Infrastructure Asset Management

2017 ◽  
Vol 21 ◽  
pp. 366-371
Author(s):  
Hiroshi Yokota ◽  
Kohei Nagai ◽  
Koji Matsumoto ◽  
Yi Yi Mon
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Life Cycle Management ◽  
Structural Performance ◽  
Infrastructure Management ◽  
Structural Members ◽  
Engineering Work ◽  
Subsequent Loss ◽  
Long Life ◽  
Support Engineering

Infrastructure has to be adequately planned, designed, executed and maintained to keep its structural performance over respective requirements throughout its life-cycle. However, infrastructure suffering from serious deterioration in structural members and subsequent loss in performance have been often found due to various reasons. To meet these facts, it is extremely important to pursue coordination of engineering work in the stages of design, execution and maintenance. The infrastructure management including the concepts of the life-cycle management and the asset management is an organized system to support engineering-based decision making for ensuring sufficient structural performance and long life of a structure at the design, execution, maintenance, and all related work during its life-cycle. This paper deals with infrastructure management system and an example of its application for a road bridge from seriously deteriorated.

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