Wind Turbine Systematic Wake to Wake Analysis: Quantification of Turbulence and Statistical Analysis for Optimal Wind Farm Design
Heather Mark
Department of Mechanical Engineering, Portland State University, OR, USA.
Naveen Weerasekera
Department of Mechanical Engineering, University of Louisville, KY, USA.
Agnimitra Biswas
Department of Mechanical Engineering, National Institute of Technology, Silchar, AS, INDIA.
Siyua Cao *
Department of Mathematics and Statistics, Portland State University, OR, USA.
*Author to whom correspondence should be addressed.
Abstract
Through this work, we have analyzed wake to wake interactions between horizontal axis wind turbines located in line to each other. We have quantified wake interactions based on hot wire anemometric data and statistical correlations using a model wind farm fabricated inside a wind tunnel. The results of these measurements show that a high level of turbulent kinetic energy is generated at the region of intersection between rotor and stator wakes. Numerical models of wake interactions of wind turbines under varying turbulent inflow conditions using the actuator line technique and EllipSys3D Navier-Stokes solver were carried out to resolve dynamics of wake interactions. Our results showed good agreement with field measurements of wake deficit and turbulence intensity for inline and eccentric turbine arrangements.
Keywords: Renewable energy, wind turbine wakes, statistical correlations, hot wire anemometry