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: 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.

“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.

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.

“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.

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.

Knowledge Modeling for Asset Management Evaluation

2004 ◽  
Author(s):  
Catherine E. Bauby ◽  
Philippe Hai¨k ◽  
Emmanuel Remy ◽  
Benoiˆt Ricard
Keyword(s):  
Asset Management ◽  
Expert Knowledge ◽  
Software Tool ◽  
Decision Makers ◽  
Evaluation Methodology ◽  
Knowledge Modeling ◽  
Plant Operation ◽  
Management Evaluation ◽  
Management Domain

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 remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003, this methodology provides decision-makers with indicators to evaluate the status of a plant. The 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). Identifying what might occur to ageing plant components, how operations or maintenance decisions might influence these occurrences and what the consequences of these decisions and events might have on plant operation, is definitely an expert task. In order to gather, preserve, share, maintain and exploit this expert knowledge, we therefore relied on a “knowledge modeling” activity. This activity is used to support the asset management evaluation methodology. We detail the knowledge model — an entity/relation expert description of the plant life-management domain — on which our three-level methodology relies. Lastly, we focus on the software tool that implements this model in order to allow decision-makers to define, analyze and evaluate long-term plant operation and maintenance policies.

Investigation of a New Approach to Predict Water Quality Extremes with a Case Study of Chemical Determinands in Stream Water

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Probability Distributions ◽  
Management Strategies ◽  
Hybrid Modelling ◽  
Trend Model ◽  
Environmental Extremes ◽  
Modelling Approach

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.

scholarly journals Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)

2021 ◽  
Vol 13 (3) ◽  
pp. 1514
Author(s):  
Rebecca Peters ◽  
Jürgen Berlekamp ◽  
Ana Lucía ◽  
Vittoria Stefani ◽  
Klement Tockner ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Planning Process ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Catchment Scale ◽  
Northern Greece ◽  
Hydropower Plants ◽  
Hydropower Planning

Mitigating climate change, while human population and economy are growing globally, requires a bold shift to renewable energy sources. Among renewables, hydropower is currently the most economic and efficient technique. However, due to a lack of impact assessments at the catchment scale in the planning process, the construction of hydropower plants (HPP) may have unexpected ecological, socioeconomic, and political ramifications in the short and in the long term. The Vjosa River, draining parts of Northern Greece and Albania, is one of the few predominantly free-flowing rivers left in Europe; at the same time its catchment is identified an important resource for future hydropower development. While current hydropower plants are located along tributaries, planned HPP would highly impact the free-flowing main stem. Taking the Vjosa catchment as a case study, the aim of this study was to develop a transferable impact assessment that ranks potential hydropower sites according to their projected impacts on a catchment scale. Therefore, we integrated established ecological, social, and economic indicators for all HPP planned in the river catchment, while considering their capacity, and developed a ranking method based on impact categories. For the Vjosa catchment, ten hydropower sites were ranked as very harmful to the environment as well as to society. A sensitivity analysis revealed that this ranking is dependent upon the selection of indicators. Small HPP showed higher cumulative impacts than large HPP, when normalized to capacity. This study empowers decision-makers to compare both the ranked impacts and the generated energy of planned dam projects at the catchment scale.

scholarly journals A Compact Muon Tracker for Dynamic Tomography of Density Based on a Thin Time Projection Chamber with Micromegas Readout

Particles ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 333-342
Author(s):  
Ignacio Lázaro Roche
Keyword(s):  
Time Projection Chamber ◽  
Wide Field ◽  
Track Reconstruction ◽  
Long Term Stability ◽  
Societal Issues ◽  
Primary Signal ◽  
And Performance ◽  
Time Projection

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as a geophysics tool over the past decade. It allows us to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or the wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.

Sign in / Sign up

Export Citation Format

Share Document