Results 31 to 40 of about 5,130 (264)
Multi-fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations. [PDF]
Flow Turbul CombustImproving the power output from wind farms is vital in transitioning to renewable electricity generation. However, in wind farms, wind turbines often operate in the wake of other turbines, leading to a reduction in the wind speed and the resulting power ...
Mole A, Laizet S.
europepmc +3 more sources
Enabling control co-design of the next generation of wind power plants [PDF]
Wind Energy Science, 2023 Layout design and wake steering through wind plant control are important and complex components in the design and operation of modern wind power plants.
A. P. J. Stanley +3 more
doaj +1 more source
The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows [PDF]
Wind Energy Science, 2021 Wind turbine wake models typically require approximations, such as wake superposition and deflection models, to accurately describe wake physics. However, capturing the phenomena of interest, such as the curled wake and interaction of multiple wakes, in ...
L. A. Martínez-Tossas +7 more
doaj +1 more source
Journal of Clinical and Translational Science, 2023 OBJECTIVES/GOALS: Empowering the Participant Voice (EPV) is a Rockefeller-led 6-CTSA consortium that aims to collect research participant feedback through new Research Participant Perception Survey (RPPS)/REDCap infrastructure and data aggregation to a ...
Rhonda G. Kost +6 more
doaj +1 more source
Wake-Fin Tailoring for Projectile Steering
28th AIAA Applied Aerodynamics Conference, 2010 Proof-of-concept experiments and computational simulations were conducted to investigate the feasibility of an active flow control concept, called wake-fin tailoring (WaFT), to improve the steering performance and attitude control of projectiles. The concept is based on the use of mechanical flow control actuators located at a position well upstream of
Chuanbo Yang, Terry Ng
openaire +2 more sources
A physically interpretable statistical wake steering model [PDF]
, 2021 Abstract. Wake steering models for control purposes are typically based on analytical wake descriptions tuned to match experimental or numerical data. This study explores the potential of a data-driven statistical wake steering model with a high degree of physical interpretation.
Balthazar Sengers +4 more
openaire +1 more source
A physically interpretable data-driven surrogate model for wake steering [PDF]
Wind Energy Science, 2022 Wake steering models for control purposes are typically based on analytical wake descriptions tuned to match experimental or numerical data. This study explores whether a data-driven surrogate model with a high degree of physical interpretation can ...
B. A. M. Sengers +4 more
doaj +1 more source
Machine learning enables national assessment of wind plant controls with implications for land use
Wind Energy, 2022 Summary As deployment of wind energy continues to expand, computationally efficient tools for predicting wind plant performance over a wide range of layout designs, technology innovations, and spatial locations are increasingly important for policy and ...
Dylan Harrison‐Atlas +2 more
doaj +1 more source
, 2023 Selection of the data in the following paper: Sengers, B. A. M., Steinfeld, G., Hulsman, P., & Kuehn, M. (2023). Validation of an interpretable data-driven wake model using lidar measurements from a free-field wake steering experiment.
Sengers, Balthazar Arnoldus Maria
core +1 more source
Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions [PDF]
Wind Energy Science, 2020 Strategies for wake loss mitigation through the use of dynamic closed-loop wake steering are investigated using large eddy simulations of conventionally neutral atmospheric boundary layer conditions in which the neutral boundary layer is capped by an ...
M. F. Howland +5 more
doaj +1 more source