Education & Training

 

The Chair is involved in a number of courses at various educational levels.

International Master of Nuclear Energy (MNE) courses

Ecole Centrale Paris courses

PhD school

 

 

Recent Plenary Lectures

LECTURE 1, Safety of Complex Energy Systems

The society depends on reliable and robust services provided by critical infrastructures (CIs). Physical-engineered CIs are characterized as large scale, spatially distributed, complex networks of a large number of interacting components. They show emergent properties difficult to anticipate from the knowledge of the behavior of the single components, are characterized by a large degree of adaptability to absorb random disruptions and are highly vulnerable to widespread failures. Indeed, small perturbations can trigger cascades and large-scale consequences in CIs. With respect to the energy transmission and distribution infrastructure, the impact of large-scale cascading failures has been demonstrated, for example, by the power outages in Italy and in the U.S. in 2003, and in Sweden due to the storms Gudrun in January 2005 and Per in January 2007. Furthermore, disruptions may also be caused by targeted malicious attacks.
The above mentioned complex system characteristics of CIs require that such systems be analyzed as a whole and make their holistic study highly challenging. A comprehensive vulnerability analysis requires not only the consideration of a large number of spatially distributed, interacting elements with nonlinear behavior and feedback loops, but also a broad spectrum of hazards and threats including failures and threats. A number of approaches can be undertaken for the vulnerability assessment of CIs depending on the type of system, the objective of the analysis and the available information. In this LEcture, an attempt is made to defining the characteristics of some of these approaches and to explaining them briefly.

Date: 21th, May, 2012
Location: Beihang university, Beijing, China
Presentation slides downloadable

 

LECTURE 2, PHM for Nuclear Application

Component Prognostics and Health Management (PHM) allows the timely planning of maintenance actions for preventing failures or mitigating their effects. The maintenance strategies so devised, have the potential of effectively coping with plant production availability targets and system safety requirements. Both these aspects are particularly relevant for high‐risk and high‐capital cost plants, such as the nuclear power plants. In the lecture, PHM methods will be presented in their application to real data from the nuclear power plant field. The applications will cover the different tasks involved in PHM, including:
- the timely detection of abnormal operation conditions (fault detection);
- the identification of the causes of abnormality (fault identification/diagnostics);
- the prediction of the remaining useful life in the given abnormal conditions (fault prognostics).

Date: 24th, May, 2012
Location: CATIC Hotel, Beijing, China
Presentation slides downloadable

 

LECTURE 3, Risk & Uncertainty

Risk assessment models are based on the knowledge on the phenomena involved. This knoweldge is typically incomplete so that uncertainty plays an important role. In this lecture, some of the frameworks for treating uncertainty are discussed as alternatives to the probabilistic approach; these include probability bound analysis, imprecise probability, random sets, possibility theory. A critical engineering point of view is undertaken in an effort to try to build a a process of faithful representation of information and introduction of knowledge in the risk assessment model.

Date: 28th May, 2012
Location: Beihang University, Beijing, China
Presentation slides downloadable

 

LECTURE 4, Prognostics and Health Management: methods and applications

Component Prognostics and Health Management (PHM) allows the timely planning of maintenance actions for preventing failures or mitigating their effects. The maintenance strategies so devised, have the potential of effectively coping with plant production availability targets and system safety requirements. In the lecture, PHM methods will be presented in their application to real data. The applications will cover the different tasks involved in PHM, including:
- the timely detection of abnormal operation conditions (fault detection);
- the identification of the causes of abnormality (fault identification/diagnostics);
- the prediction of the remaining useful life in the given abnormal conditions (fault prognostics).

Date: 30th May, 2012
Location: Beihang University, Beijing, China
Presentation slides downloadable