Blade planform design optimization to enhance turbine wake control. Issue 5 (13th January 2022)

• Record Type: Journal Article
• Authors: Allen, Jeffery; Young, Ethan; Bortolotti, Pietro; King, Ryan; Barter, Garrett
• Is Part Of: Wind energy. Volume 25:Issue 5(2022)
• Page Start: 811
• Page End: 830
• Publication Date: 2022-01-13
• Subjects: adjoint optimization -- wind plant controls -- wake steering -- blade design; Wind power -- Periodicals; 621.312136
• DOI: 10.1002/we.2699
• Languages: English
• ISSNs: 1095-4244

Abstract

Abstract: This study considers optimizing the planform of wind turbine blades to ultimately enhance wind plant controls, namely, wake steering strategies. Adjoint‐enabled unsteady actuator line simulations are carried out to obtain gradients for optimization of several different performance objectives with respect to blade chord length at 10 locations along blade span. We demonstrate different blade design optimizations that can maximize time‐averaged lateral wake deflection, entrainment of kinetic energy, or total power of multiple turbines. Our optimized designs can produce a 4+% increase in wake deflection, a 4× increase in vertical kinetic energy entrainment, or a 3.6% increase in power when compared with the baseline case. While lateral wake deflection is only modestly sensitive to chord changes, we find that increasing the outboard chord length can dramatically increase kinetic energy entrainment, resulting in faster wake recovery and gains in net power. While this work develops only a few case studies emphasizing relative performance improvements and general trends, these results show the promise of a framework that combines mid‐fidelity computation with adjoint‐based optimization for control and design problems.