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Dive into the research topics where David R. Bradney is active.

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Featured researches published by David R. Bradney.


Journal of Physics: Conference Series | 2016

Determining Diffuser Augmented Wind Turbine performance using a combined CFD/BEM method

Je Kesby; David R. Bradney; Philip Clausen

The optimisation of a Diffuser Augmented Wind Turbine has traditionally focused on maximising its power output. Optimising the design of the blade and the shape of the diffuser for maximum turbine power over a range of wind velocities is a complex process, as each will influence the others flow regime. In this paper we propose a method that combines the predictions of flow through a diffuser, using computational fluid dynamics, and the flow from a turbine blade using a modified blade element theory to predict the power output of a diffuser augmented wind turbine. Good agreement was found between the predictions from this new method and experimental data from the literature.


Journal of Physics: Conference Series | 2016

Aeroelastic measurements and simulations of a small wind turbine operating in the built environment

S.P. Evans; David R. Bradney; Philip Clausen

Small wind turbines, when compared to large commercial scale wind turbines, often lag behind with respect to research investment, technological development, and experimental verification of design standards. In this study we assess the simplified load equations outlined in IEC 61400.2-2013 for use in determining fatigue loading of small wind turbine blades. We compare these calculated loads to fatigue damage cycles from both measured in-service operation, and aeroelastic modelling of a small 5 kW Aerogenesis wind turbine. Damage cycle ranges and corresponding stress ratios show good agreement when comparing both aeroelastic simulations and operational measurements. Loads calculated from simplified load equations were shown to significantly overpredict load ranges while underpredicting the occurrence of damage cycles per minute of operation by 89%. Due to the difficulty in measuring and acquiring operational loading, we recommend the use of aeroelastic modelling as a method of mitigating the over-conservative simplified load equation for fatigue loading.


Journal of Fish Biology | 2017

Sawfishes stealth revealed using computational fluid dynamics

David R. Bradney; A. Davidson; S.P. Evans; Barbara E. Wueringer; D.L. Morgan; Philip Clausen

Detailed computational fluid dynamics simulations for the rostrum of three species of sawfish (Pristidae) revealed that negligible turbulent flow is generated from all rostra during lateral swipe prey manipulation and swimming. These results suggest that sawfishes are effective stealth hunters that may not be detected by their teleost preys lateral line sensory system during pursuits. Moreover, during lateral swipes, the rostra were found to induce little velocity into the surrounding fluid. Consistent with previous data of sawfish feeding behaviour, these data indicate that the rostrum is therefore unlikely to be used to stir up the bottom to uncover benthic prey. Whilst swimming with the rostrum inclined at a small angle to the horizontal, the coefficient of drag of the rostrum is relatively low and the coefficient of lift is zero.


Journal of Physics: Conference Series | 2016

Comparison of computational modelling and field testing of a small wind turbine operating in unsteady flows

David R. Bradney; S.P. Evans; M Salles Pereira Da Costa; Philip Clausen

Small horizontal-axis wind turbines are likely to operate in a broad range of operating flow conditions, often in highly turbulent flow, due, in part, to their varied site placements. This paper compares the computational simulations of the performance of a 5 kW horizontal-axis wind turbine to detailed field measurements, with a particular focus on the impact of unsteady operating conditions on the drivetrain performance and generator output. Results indicate that the current Blade Element Momentum Theory based aerodynamic models under-predict the effect of high turbine yaw on the rotor torque, leading to a difference between predicted and measured shaft speed and power production. Furthermore, the results show discrepancies between the predicted instantaneous turbine yaw performance and measurements.


Renewable Energy and Environmental Sustainability | 2017

The suitability of the IEC 61400-2 wind model for small wind turbines operating in the built environment

S.P. Evans; Anup Kc; David R. Bradney; Tania Urmee; Jonathan Whale; Philip Clausen


Renewable Energy | 2018

Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?

S.P. Evans; David R. Bradney; Philip Clausen


Journal of Wind Engineering and Industrial Aerodynamics | 2018

Development and experimental verification of a 5 kW small wind turbine aeroelastic model

S.P. Evans; David R. Bradney; Philip Clausen


Renewable Energy and Environmental Sustainability | 2017

A method to optimise the materials layout of small wind turbine blades

Mariana S.P. Costa; S.P. Evans; David R. Bradney; Philip Clausen


Renewable Energy and Environmental Sustainability | 2017

Determining the performance of a Diffuser Augmented Wind Turbine using a combined CFD/BEM method

Joss E. Kesby; David R. Bradney; Philip Clausen


Archive | 2015

Structural modelling of blades for small wind turbines

S.P. Evans; David R. Bradney; Philip Clausen

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S.P. Evans

University of Newcastle

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A. Davidson

University of Newcastle

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