Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site. (February 2020)

• Record Type: Journal Article
• Authors: Ren, Lei; Miao, Jianming; Hartnett, Michael
• Is Part Of: Energy reports. Volume 6(2020)Supplement 1
• Page Start: 874
• Page End: 877
• Publication Date: 2020-02
• Subjects: Marine renewable energy -- Soft computing -- High Frequency radar -- Galway Bay -- Remote sensing -- Surface currents; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2019.11.022
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: 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.