Spatial variability of waves within a marine energy site using in-situ measurements and a high resolution spectral wave model

I. Ashton*, J. C.C. Van-Nieuwkoop-McCall, H. C.M. Smith, L. Johanning

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A high resolution spectral wave model is used to quantify the spatial wave climate on geographical scales relevant to intra-site variability for marine renewable energy installations. For the first time, results are compared to in-situ data from an array of four floating wave buoys, and demonstrate the ability of the spectral wave model SWAN (Simulating WAves Nearshore) to resolve spatial differences in the wave climate. Examination of the model source terms highlights bottom friction and refraction as the primary processes contributing to the observed differences across the site. Wave models for climate assessments for marine renewable energy are not commonly operated at sufficient spatial resolution to accurately resolve intra-site variability. This study demonstrates that high spatial resolution spectral wave models, nested into a larger model domain, have the potential to provide an accurate and detailed prediction of the spatial variability of wave conditions across a marine renewable energy site. As such, they could be implemented to provide a more accurate resource assessment for wave energy array deployments, but also for engineering assessments of other marine energy technologies.

Original languageEnglish
Pages (from-to)699-710
Number of pages12
JournalEnergy
Volume66
DOIs
Publication statusPublished - 1 Mar 2014

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Modeling and Simulation
  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Pollution
  • General Energy
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law
  • Electrical and Electronic Engineering

Keywords

  • Marine renewable energy
  • Resource assessment
  • Spatial variability
  • SWAN (Simulating WAves Nearshore)

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