Post-optimum sensitivity analysis with automatically tuned numerical gradients applied to swept wind turbine blades

HIGHLIGHTS

• who: Michael Kenneth McWilliam et al. from the Department of Wind and Energy System, Technical University of Denmark, Frederiksborgvej , have published the research work: Post-Optimum Sensitivity Analysis with Automatically Tuned Numerical Gradients Applied to Swept Wind Turbine Blades, in the Journal: Energies 2022, 15, 2998. of /2022/
• what: This paper will demonstrate POSA on both the straight and swept blade optimization solutions of_[28], to understand how the design drivers change when sweeping is introduced. This research has developed a statistical technique for automatically tuning numerical gradients based on polynomial regression and the coefficient . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.