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In light of the 2018 special report on climate change compiled by the United Nations, there is a renewed urgency to the rapid adoption of renewable energy technologies. A key roadblock to the large-scale/commercial conversion of tidal energy is the question concerning the operational efficiency of existing technologies in the non-homogeneous, turbulent and corrosive marine environment. A thorough understanding of the aforementioned aspects of full-scale deployment is vital in developing robust and cost-effective turbine designs and farm layouts. The current experimental work at Lehigh University aims to better the understanding of turbine performance and near-wake statistics in homogeneous and non-homogeneous turbulent flows, similar to actual marine conditions. A 1:20 laboratory scale tidal turbine model with a rotor diameter of 0.28m is used in the experiments and an active grid type turbulence generator, designed in-house, is employed to generate both homogeneous and non-homogeneous turbulent inflow conditions. To the knowledge of the authors, this is the first experimental study to explore the effects of non-homogeneous inflow turbulence on tidal turbines. From the data collected it was observed that the non-homogeneous inflow condition led to a considerable drop (15-20%) in the measured thrust coefficient. They also resulted in larger torque and thrust fluctuations on the rotor (~40% under the tested conditions). The effect of inflow non-homogeneity was evident in the asymmetric near-wake characteristics as well. Turbulence intensity and Reynolds stresses measured in the wake of the rotor were found to adapt quicker to inflow non-homogeneity than the wake velocity deficit and integral length scales. 

Experiments with a three-bladed, constant chord tidal turbine were undertaken to understand the influence of free surface proximity on blockage effects and near-wake flow field. The turbine was placed at various depths as rotational speeds were varied; thrust and torque data were acquired through a submerged sensor. Blockage effects were quantified in terms of changes in power coefficient and were found to be dependent on tip speed ratio and free surface to blade tip clearance. Flow acceleration near turbine rotation plane was attributed to blockage offered by the rotor, wake, and free surface deformation. In addition, particle image velocimetry was carried out in the turbine near-wake using time- and phase-averaged techniques to understand the mechanism responsible for the variation of power coefficient with rotational speed and free surface proximity. Slower wake propagation for higher rotational velocities and increased asymmetry in the wake with increasing free surface proximity was observed. Improved performance at high rotational speed was attributed to enhanced wake blockage, and performance enhancement with free surface proximity was due to the additional blockage effects caused by the free surface deformation. Proper orthogonal decomposition analysis revealed a downward moving wake for the turbine placed in near free surface proximity.