Cover Image

Wind farm yaw control set-point optimization under model parameter uncertainty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Howland, Michael F.
Format:	Preprint
Published:	2021
Subjects:	Fluid Dynamics Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Experimental jet control with Bayesian optimization and persistent data topology
by: Reumschüssel, Johann Moritz, et al.
Published: (2024)

Optimal wind farm energy and reserve scheduling incorporating wake interactions
by: Mabboux-Fort, Marin, et al.
Published: (2026)

Topology optimization for particle flow problems using Eulerian-Eulerian model with a finite difference method
by: Chen, Chih-Hsiang, et al.
Published: (2024)

Determination of Navier's slip parameter using data assimilation
by: Jarolímová, Alena, et al.
Published: (2024)

Modeling and optimization for arrays of water turbine OWC devices
by: Gambarini, M., et al.
Published: (2024)

Multi-objective optimization of the magnetic wiping process in dip-coating
by: Pino, Fabio, et al.
Published: (2024)

Topology optimization of passively moving rigid bodies in unsteady flows
by: Tanabe, Yuta, et al.
Published: (2026)

Topology optimization for microchannel heat sinks with nanofluids using an Eulerian-Eulerian approach
by: Chen, Chih-Hsiang, et al.
Published: (2025)

Topology optimization of two-fluid turbulent heat exchangers: A Darcy flow-based multifidelity approach
by: Kawabe, Hiroki, et al.
Published: (2026)

Expensive control of long-time averages using sum of squares and its application to a laminar wake flow
by: Huang, Deqing, et al.
Published: (2016)

Efficient data-driven flow modeling for accurate passive scalar advection in submesoscale domains
by: Jakac, Karlo, et al.
Published: (2025)

Control of flow behavior in complex fluids using automatic differentiation
by: Alhashim, Mohammed, et al.
Published: (2024)

Optimal control for a class of linear transport-dominated systems via the shifted proper orthogonal decomposition
by: Breiten, Tobias, et al.
Published: (2024)

Sparse Narrow-Band Topology Optimization for Large-Scale Thermal-Fluid Applications
by: Pimanov, Vladislav, et al.
Published: (2025)

Boundary control for optimal mixing via Stokes flows and numerical implementation
by: Hu, Weiwei, et al.
Published: (2021)

DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations
by: Wan, Ruyin, et al.
Published: (2025)

Learning rheological parameters of non-Newtonian fluids from velocimetry data
by: Kontogiannis, Alexandros, et al.
Published: (2024)

Control of the Fluidic Pinball using the Quadratic-Quadratic Regulator
by: Bouland, Ali, et al.
Published: (2026)

Adaptive Computing for Scale-up Problems
by: Griffin, Kevin Patrick, et al.
Published: (2024)

A Mathematical Framework for Spatio-Temporal Control in Industrial Drying
by: Náraigh, Lennon Ó
Published: (2024)

Approximation of sea surface velocity field by fitting surrogate two-dimensional flow to scattered measurements
by: Jakac, Karlo, et al.
Published: (2024)

Iterative Methods for Navier--Stokes Inverse Problems
by: O'Connor, Liam, et al.
Published: (2024)

BOATS: Bayesian Optimization for Active Control of ThermoacousticS
by: Dharmaputra, Bayu, et al.
Published: (2024)

Analytic Full Potential Adjoint Solution for Two-dimensional Subcritical Flows
by: Lozano, Carlos, et al.
Published: (2025)

Maximum Likelihood Filtering for Particle Tracking in Turbulent Flows
by: Kearney, Griffin M., et al.
Published: (2023)

Adjoint-Based Enforcement of State Constraints in PDE Optimization Problems
by: Matharu, Pritpal, et al.
Published: (2023)

Elliptic Relaxation Strategies to Support Numerical Stability of Segregated Continuous Adjoint Flow Solvers
by: Kühl, Niklas
Published: (2025)

What makes a steady flow to favour kinematic magnetic field generation: A statistical analysis
by: de Almeida, Francisco Stefano, et al.
Published: (2024)

Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
by: Kontogiannis, Alexandros, et al.
Published: (2024)

Mean field control of droplet dynamics with high order finite element computations
by: Fu, Guosheng, et al.
Published: (2024)

Controlled transport of fluid particles by microrotors in a Stokes flow using linear transfer operators
by: Buzhardt, Jake, et al.
Published: (2023)

Turbulence modeling over riblets via domain transformation
by: Naseri, Mohammadamin, et al.
Published: (2025)

Bayesian inference of mean velocity fields and turbulence models from flow MRI
by: Kontogiannis, A., et al.
Published: (2024)

Learning parameter-dependent shear viscosity from data, with application to sea and land ice
by: de Diego, Gonzalo G., et al.
Published: (2025)

A non-iterative reconstruction method for an inverse problem modeled by a Stokes-Brinkmann equations
by: Hrizi, Mourad, et al.
Published: (2019)

Reducing base drag on road vehicles using pulsed jets optimized by hybrid genetic algorithms
by: Robledo, Isaac, et al.
Published: (2025)

Boundary Control for Suppressing Chaotic Response to Dynamic Hydrogen Blending in a Gas Pipeline
by: Baker, Luke S., et al.
Published: (2023)

Nonlinear optimals and their role in sustaining turbulence in channel flow
by: Klingenberg, Dario, et al.
Published: (2025)

An $rp$-adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking
by: Dong, Huijing, et al.
Published: (2025)

A Variational Computational-based Framework for Unsteady Incompressible Flows
by: Sababha, H., et al.
Published: (2024)