Titel: Perspectives on Engineering Uncertainty: Civil Nuclear Energy Safety and Efficiency
Verlag: Springer
Erscheinungsjahr: 2025
Sprache: Englisch
ISBN-10: 3031832531
ISBN-13: 9783031832536
Einband: Hardcover
Zustand: New

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Inhaltsangabe

This open access book considers the role of uncertainty in the design and development of large-scale engineering systems. The focus of the book is the safe behaviour of nuclear power plants in both routine operations and in incident situations. The book introduces various types of uncertainty and addresses the extent to which uncertainties may be reduced. The role of multiple dimensions of uncertainty is discussed, as is the importance of modern computational techniques in handling large data sets. Modern IT also provides engineers with new tools, such as digital twins with the potential to greatly reduce cost both in design and in operations. The book focuses on both system safety and efficiency and, to do this, reference is made to the Advanced Gas-Cooled Reactor (AGR). The AGR is a mature established system through which the book elucidates various key concepts and ideas.

As well as being of interest to those working in the nuclear industry, the book is likely to appeal to those working in other safety critical engineering sectors and, for example, reference is made to experiences in aviation and railway engineering. This is neither a text book nor a review, it is a primer for those seeking an introduction to modern approaches to uncertainty.

�ber die Autorin bzw. den Autor

This book is a monograph with five authors. Corresponding author, William J. Nuttall is a technology and policy specialist with particular expertise in energy systems. He is Professor of Energy Policy and Transformation at the University of Bristol, having previously been Professor of Energy at The Open University, based in Milton Keynes, UK from 2012 to 2024.

This work is an output of the EMEANSS project, a UKRI-funded collaboration led by nuclear engineering specialist Professor Simon Middleburgh from Bangor University. Professor Edoardo Patelli from the University of Strathclyde brings much experience of quantitative uncertainty analysis, while Ewan Smith and David Webbe-Wood have provided research assistance to this book in all its aspects as well as to the EMEANSS project more generally

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