• Medientyp: E-Artikel
  • Titel: Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site
  • Beteiligte: Ren, Lei [Verfasser:in]; Miao, Jianming [Verfasser:in]; Hartnett, Michael [Verfasser:in]
  • Erschienen: 2020
  • Erschienen in: Energy reports ; 6(2020), 1 vom: Feb., Seite 874-877
  • Sprache: Englisch
  • DOI: 10.1016/j.egyr.2019.11.022
  • Identifikator:
  • Schlagwörter: Galway Bay ; High Frequency radar ; Marine renewable energy ; Remote sensing ; Soft computing ; Surface currents ; Aufsatz in Zeitschrift ; Kongressbeitrag
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Galway Bay has one of the world's 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.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Nicht-kommerziell - Keine Bearbeitung (CC BY-NC-ND)