scispace - formally typeset
T

Thomas Kelly

Researcher at Dundalk Institute of Technology

Publications -  7
Citations -  75

Thomas Kelly is an academic researcher from Dundalk Institute of Technology. The author has contributed to research in topics: Oscillating Water Column & System identification. The author has an hindex of 3, co-authored 6 publications receiving 58 citations.

Papers
More filters

Using NEMOH for Modelling Wave Energy Converters: A Comparative Study with WAMIT

TL;DR: In this paper, the usefulness of the open-source boundary element method (BEM) solver NEMOH is compared with the commercially available BEM solver, WAMIT.
Journal ArticleDOI

Comparison of the Experimental and Numerical Results of Modelling a 32-Oscillating Water Column (OWC), V-Shaped Floating Wave Energy Converter

TL;DR: In this paper, the wave energy component is based on the well-established concept of the oscillating water column and a numerical model of this component has been developed in the frequency domain, and the results of this modelling and testing are compared to assess the validity and usefulness of the numerical model.
Journal ArticleDOI

Ocean Energy Systems Wave Energy Modeling Task 10.4: Numerical Modeling of a Fixed Oscillating Water Column

TL;DR: In this article, the authors present results for a breakwater-mounted Oscillating Water Column (OWC) device at scale 1:4 relative to a full-scale installation in a water depth of 12.8 m. The power-extracting air turbine is modeled by an orifice plate of 1-2% of the internal chamber surface area.

Modelling and results for an array of 32oscillating water columns

TL;DR: In this article, a 1:50 scale model of an offshore combined wind/wave energy converting platform, comprising one or more wind turbines mounted on a floating structure in which a number of oscillating water columns (OWCs) are embedded, is presented.
Journal ArticleDOI

Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device

TL;DR: In this article, the authors compare the performance of a global nonlinear model with an equivalent multi-linear model, both in terms of accuracy and computational complexity, compared to a range of linear models.