Statistics Seminars: Durham Risk Day - Risk and reliability modelling of energy systems
24 November 2011 09:00 in the Senate Suite, Durham Castle
Risk and reliability modelling is an area of increasing interest and importance in energy systems. This is due to both the advent of new technologies (e.g. high penetrations of renewable generation, and increased storage and other parts of the smartgrid paradigm), and increased pressure for energy systems to be run in a 'lean' manner (which often requires planning and operational decisions to be risk-based, as opposed to relying on more traditional conservative heuristic approaches.)
This meeting will bring together researchers in the field to present state-of-the-art methods in risk and reliability modelling, including both engineers working in energy systems, and also mathematicians and statisticians with key relevant expertise and an interest in energy system applications. The scope of the meeting includes probabilistic risk assessment and associated statistical modelling, the broad range of analytical techniques which may be required for assessing and mitigating system stability risk (particularly major disturbances), and economic risk as seen by system operators (for instance network planning for renewables integration and real time system operation).
The day will be held in spectacular surroundings of the Senate Suite at Durham Castle (click here for a virtual tour.) The Castle is the main building of University College, the founding College of Durham University.
Contact Frank Coolen