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Fergal Hourigan

Researcher at University of Limerick

Publications -  5
Citations -  72

Fergal Hourigan is an academic researcher from University of Limerick. The author has contributed to research in topics: Turbine & Computational fluid dynamics. The author has an hindex of 4, co-authored 5 publications receiving 69 citations.

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Journal ArticleDOI

Computational fluid dynamics analysis of a 0.6 m, 0.6 hub-to-tip ratio impulse turbine with fixed guide vanes

TL;DR: In this article, a 3D model of the Impulse turbine with fixed guide vanes was used to evaluate the performance of the turbine using CFD and with a view to integrating CFD into the design process.
Journal ArticleDOI

Modeling and scaling of the impulse turbine for wave power applications

TL;DR: In this paper, the authors address the dimensional analysis of experimental data for the impulse turbine and the use of that data to create a model to predict the performance characteristics of any size of turbine under a range operating conditions.
Journal ArticleDOI

A comparison of two meshing schemes for CFD analysis of the impulse turbine for wave energy applications

TL;DR: In this article, the results of two three-dimensional CFD models of the 0.6 m diameter, 1.6 hub-to-tip ratio Impulse Turbine are compared qualitatively and quantitatively with experimental data for a geometrically similar turbine under similar conditions.
Journal ArticleDOI

Computational fluid dynamics benchmark of an impulse turbine with fixed guide vanes

TL;DR: In this article, a 3D CFD analysis of a 0.6 m impulse turbine with fixed guide vanes for wave energy power conversion is presented, where a hybrid meshing scheme was used with hexahedral cells in near blade region and tetrahedral and pyramid cells in the rest of the domain.
Proceedings ArticleDOI

Modelling and Scaling of the Impulse Turbine for Wave Power Applications

TL;DR: In this paper, the authors address the dimensional analysis of experimental data for the Impulse Turbine and the use of that data to create a model to predict the performance characteristics of an arbitrarily sized turbine under arbitrary operating conditions.