The adjoint method is used for high-fidelity aerodynamic shape optimization and is an
efficient approach for computing the derivatives of a function of interest with respect to a …

As international efforts to address climate change grow, an increasing number of countries
and companies have put forward a clear “net zero” goal through accelerated renewable …

Multidisciplinary design optimization (MDO) is concerned with solving design problems
involving coupled numerical models of complex engineering systems. While various MDO …

Load identification is the premise of wind turbine blade design and control. In wind farms,
due to the lack of a thorough understanding of the blade loads, catastrophic accidents occur …

One of the challenges in computational modeling is coupling models to solve
multidisciplinary problems. Flow-based computational frameworks alleviate part of the …

The development of large-scale wind turbines is challenged by loads, mass, and cost
growth, and more flexible blades that impact power and tower clearance. Further, the long …

Computational fluid dynamics (CFD) is increasingly used to analyze wind turbines, and the
next logical step is to develop CFD‐based optimization to enable further gains in …

The wind energy industry relies heavily on computational fluid dynamics (CFD) to analyze
new turbine designs. To utilize CFD earlier in the design process, where lower-fidelity …

The wind farm layout optimization problem is notoriously difficult to solve because of the
large number of design variables and extreme multimodality of the design space. Because …

Downwind force angles are small for current turbines systems (1–5 MW) such that they may
be readily accommodated by conventional upwind configurations. However, analysis …