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Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site

  • Michael Hartnett
  • Sun Yat-Sen University
  • Southern Marine Science and Engineering Guangdong Laboratory

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

Abstract

Galway Bay has one of the worlds few open water marine renewable test sites and so is of national and international interest. A high frequency radar system has been deployed in Galway Bay area to monitor near real time surface currents and waves since July 2011. In this research, a soft computing approach was applied to estimate surface vector fields using the observed radar data. Results indicate that soft computing is a novel and promising method to estimate surface vector fields. It provides a potential way to obtain useful information of coastal water body for marine renewable energy development and assessment. (C) 2019 Published by Elsevier Ltd.
Original languageEnglish (Ireland)
Pages (from-to)874-877
Number of pages4
JournalEnergy Reports
Volume6
DOIs
Publication statusPublished - 1 Feb 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

Keywords

  • Galway Bay
  • High Frequency radar
  • Marine renewable energy
  • Remote sensing
  • Soft computing
  • Surface currents

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Ren, L,Miao, JM,Hartnett, M

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