Optimization of Wind Farm Configuration
Mentor 1
Ryoichi Amano
Location
Union Wisconsin Room
Start Date
5-4-2019 1:30 PM
End Date
5-4-2019 3:30 PM
Description
Abstract:
With the increasing popularity of wind farms, the question of what is the optimum turbine placement has arisen. This study aims at determining the minimum wind turbine spacing while maintaining maximum power generation. Performance will be judged by percentage of free stream velocity recovery as well as by the average turbine power coefficient (Cp). A model will be generated within Star CCM+ using Large Eddy Simulation (LES) and validated by wind tunnel testing. Historically, experiments have concluded that a spacing of 8 rotor diameters in an in-line configuration yields a free stream velocity recovery of 88%. This study will test staggered configurations which should increase the free stream velocity recovery, while allowing for smaller turbine spacing. The results will serve as a guide for designing future wind farms and predicting power output.
Optimization of Wind Farm Configuration
Union Wisconsin Room
Abstract:
With the increasing popularity of wind farms, the question of what is the optimum turbine placement has arisen. This study aims at determining the minimum wind turbine spacing while maintaining maximum power generation. Performance will be judged by percentage of free stream velocity recovery as well as by the average turbine power coefficient (Cp). A model will be generated within Star CCM+ using Large Eddy Simulation (LES) and validated by wind tunnel testing. Historically, experiments have concluded that a spacing of 8 rotor diameters in an in-line configuration yields a free stream velocity recovery of 88%. This study will test staggered configurations which should increase the free stream velocity recovery, while allowing for smaller turbine spacing. The results will serve as a guide for designing future wind farms and predicting power output.
