Turbine wake characterization

Principal Investigators:

Dr. Joel Culina, CulOcean Consulting Ltd.

Start Date: November 2016

End Date: July 2017

Wakes arise downstream of immersed or partially immersed obstacles including islands, seabed forms, and turbines. The spatial footprint of a turbine is not dominated by the turbine itself, rather by its wake and the associated velocity deficits and increased turbulence. Turbine wakes represent a critical constraint on turbine placement. In the context of an environmental assessment, there is a clear need to properly characterize turbine wake and its near field impact on the flow regime.

The project objective is to use different tools and techniques to improve understanding of wake behaviour, for use by industry in optimizing turbine placements in an array. As a first step, the project team will deploy instrumentation to quantify and measure the wake velocity and length scales for the recently deployed turbine at the FORCE site. The collected field data will be modelled to simulate real turbine wakes and compared against data sets collected through other means such as X-band radar, ADCP transects, and the two recent FORCE – FAST (Fundy Applied Sensor Technologies) platform deployments. New spatial and temporal maps will be produced, including an ‘eddy atlas’, that collectively, can be used as wake prediction and characterization tools for turbine array planning.