Browsing College of Engineering and Informatics by Author "Mannion, Brian"
Now showing items 1-5 of 5
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A CFD investigation of a variable-pitch vertical axis hydrokinetic turbine with incorporated flow acceleration
Mannion, Brian; McCormack, Vincent; Leen, Sean B.; Nash, Stephen (Springer, 2019-02-18)This paper presents the numerical modelling of a novel vertical axis tidal turbine that incorporates localised flow acceleration and variable-pitch blades. The focus is to develop a computational fluid dynamics model of a ... -
Development and assessment of a blade element momentum theory model for high solidity vertical axis tidal turbines
Mannion, Brian; Leen, Sean B.; Nash, Stephen (Elsevier, 2020-01-20)Tidal energy is an attractive renewable resource given its predictability. The production of reliable, efficient and cost-effective tidal energy turbines requires the development of computer models for assessment and design ... -
An experimental study of a flow-accelerating hydrokinetic device
Mannion, Brian; McCormack, Vincent; Kennedy, Ciaran; Leen, Sean B.; Nash, Stephen (SAGE Publications, 2018-05-01)Tidal energy researchers and developers use experimental testing of scaled devices as a method of evaluating device performance. Much of the focus to date has been on horizontal axis turbines. This study is focused on a ... -
A two and three-dimensional CFD investigation into performance prediction and wake characterisation of a vertical axis turbine
Mannion, Brian; Leen, Sean B.; Nash, Stephen (AIP Publishing, 2018-05-24)The emergence of tidal energy as a key renewable energy source requires the development of computational design models for accurate prediction of turbine performance and wake effects whilst also being computationally ... -
A two and three-dimensional CFD investigation into performance prediction and wake characterisation of a vertical axis turbine
Mannion, Brian; Leen, Sean B.; Nash, Stephen (AIP Publishing, 2018-05-24)The emergence of tidal energy as a key renewable energy source requires the development of computational design models for accurate prediction of turbine performance and wake effects whilst also being computationally ...