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The Effect of Uncertainty on Tidal Stream Energy Resource Estimates

  • Book
  • © 2021

Overview

  • Introduces three approaches for transferring uncertainty through physical models
  • Gives insight in the underlying mechanisms within the modelled systems
  • Utilises examples and applications to demonstrate the approaches explored

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (7 chapters)

Keywords

About this book

This thesis is focused on river and tidal stream power assessment, focussing particularly on uncertainties in power estimates resulting from inaccurate characterisation of bed roughness and turbine drag. It presents analytical and numerical models for the transfer of these uncertainties through to turbine power uncertainty in a strait, exploring how this affects metrics such as mean power and its standard deviation. Perturbation methods are used to determine the leading-order effects of friction and drag uncertainty in tidal stream power assessment.


The methods for uncertainty transfer presented in this thesis could readily be applied to numerous other problems encountered in hydraulic engineering, such as flow routing, urban flood risk, and reservoir sedimentation. It will therefore be of interest to researchers, engineers, and students in these fields.

Authors and Affiliations

  • Department of Engineering, University of Cambridge, Cambridge, UK

    Monika Johanna Kreitmair

About the author

Dr Monika Johanna Kreitmair is a Research Associate in the Department of Engineering at the University of Cambridge. She received her MPhys from the University of Oxford in 2012, and her MSc and PhD from the University of Edinburgh in 2014 and 2019 respectively. She has published several research papers in journals and conference proceedings and has taught a number of undergraduate courses on engineering hydrology and hydrodynamics.

Bibliographic Information

  • Book Title: The Effect of Uncertainty on Tidal Stream Energy Resource Estimates

  • Authors: Monika Johanna Kreitmair

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-030-57658-5

  • Publisher: Springer Cham

  • eBook Packages: Energy, Energy (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-57657-8Published: 24 October 2020

  • Softcover ISBN: 978-3-030-57660-8Published: 25 October 2021

  • eBook ISBN: 978-3-030-57658-5Published: 23 October 2020

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XVIII, 115

  • Number of Illustrations: 11 b/w illustrations, 31 illustrations in colour

  • Topics: Renewable and Green Energy, Offshore Engineering, Engineering Mathematics

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