The Effect of Uncertainty on Tidal Stream Energy Resource Estimates / Springer Theses (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Monika Johanna Kreitmair
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.
Bibliographische Angaben
- Autor: Monika Johanna Kreitmair
- 2020, 1st ed. 2021, 115 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030576582
- ISBN-13: 9783030576585
- Erscheinungsdatum: 23.10.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 3.76 MB
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Sprache:
Englisch
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