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The effect of bed roughness uncertainty on tidal stream power estimates for the Pentland Firth

  • M. J. Kreitmair*
  • , T. A.A. Adcock
  • , A. G.L. Borthwick
  • , S. Draper
  • , den Bremer TS van
  • *Corresponding author for this work
  • University of Edinburgh
  • University of Oxford
  • University of Western Australia

Research output: Contribution to journalArticlepeer-review

Abstract

<jats:p> Uncertainty affects estimates of the power potential of tidal currents, resulting in large ranges in values reported for sites such as the Pentland Firth, UK. Kreitmair <jats:italic>et al.</jats:italic> (2019, <jats:italic>R. Soc. open sci.</jats:italic> <jats:bold>6</jats:bold> , 180941. ( <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://dx.doi.org/10.1098/rsos.191127">doi:10.1098/rsos.191127</jats:ext-link> )) have examined the effect of uncertainty in bottom friction on tidal power estimates by considering idealized theoretical models. The present paper considers the role of bottom friction uncertainty in a realistic numerical model of the Pentland Firth spanned by different fence configurations. We find that uncertainty in removable power estimates resulting from bed roughness uncertainty depends on the case considered, with relative uncertainty between 2% (for a fully spanned channel with small values of mean roughness and input uncertainty) and 44% (for an asymmetrically confined channel with high values of bed roughness and input uncertainty). Relative uncertainty in power estimates is generally smaller than (input) relative uncertainty in bottom friction by a factor of between 0.2 and 0.7, except for low turbine deployments and very high mean values of friction. This paper makes a start at quantifying uncertainty in tidal stream power estimates, and motivates further work for proper characterization of the resource, accounting for uncertainty inherent in resource modelling. </jats:p>
Original languageEnglish
Pages (from-to)191127-191127
Number of pages0
JournalRoyal Society Open Science
Volume7
Issue number1
DOIs
Publication statusPublished - Jan 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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