A5044724585- Wind Energy Research and Development
- Fluid Dynamics and Vibration Analysis
- Wind and Air Flow Studies
- Wind Turbine Control Systems
- Additive Manufacturing Materials and Processes
- Manufacturing Process and Optimization
- Fluid Dynamics and Turbulent Flows
- Additive Manufacturing and 3D Printing Technologies
- Turbomachinery Performance and Optimization
- Probabilistic and Robust Engineering Design
- Icing and De-icing Technologies
- Vibration and Dynamic Analysis
- Simulation Techniques and Applications
- Scientific Measurement and Uncertainty Evaluation
- Meteorological Phenomena and Simulations
- Energy Load and Power Forecasting
- Cavitation Phenomena in Pumps
- Real-time simulation and control systems
- Aerodynamics and Fluid Dynamics Research
- Advanced Multi-Objective Optimization Algorithms
- Aerospace Engineering and Energy Systems
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Bat Biology and Ecology Studies
- Marine animal studies overview
Sandia National Laboratories
2021-2025
Sandia National Laboratories California
2023-2024
Cornell University
2019-2020
Hollister (United States)
2019
Portland State University
2013
Summary The progression of wind turbine technology has led to turbines being incredibly optimized machines often approaching their theoretical maximum production capabilities. When placed together in arrays make farms, however, they are subject wake interference that greatly reduces downstream turbines' power production, increases structural loading and maintenance, lifetimes, ultimately the levelized cost energy. Development techniques manage wakes operate larger more efficiently is now a...
A reduction in wake effects large wind farms through wake-aware control has considerable potential to improve farm efficiency. This work examines the success of several emerging, empirically derived methods that modify turbine wakes (i.e., pulse method, helix and related methods) based on Strouhal numbers O(0.3). Drawing previous literature for jet bluff-body flows, analyses leverage normal-mode representation instabilities characterize large-scale meandering observed actuated wakes....
Abstract. Wind-farm control strategies aim to increase the efficiency, and therefore lower levelized cost of energy, a wind farm. This is done by using turbine settings such as yaw angle, blade pitch angles, or generator torque manipulate wake that negatively affects downstream turbines in Two inherently different wind-farm methods have been identified literature: steering (WS) mixing (WM). As one two companion papers focused on understanding practical aspects these large-eddy simulation...
Abstract. Recent advancements in the use of active wake mixing (AWM) to reduce effects on downstream turbines open new avenues for increasing power generation wind farms. However, a better understanding fluid dynamics underlying AWM is still needed make reliable strategy farm flow control. In this work, spectral proper orthogonal decomposition (SPOD) used analyze coherent structures that are induced through blade pitch actuation. The data generated using Exawind software suite perform large...
In previous work, comparisons were made between large-scale simulations of the American Wake ExperimeNt (AWAKEN) wind farms conducted using large-eddy simulation (LES) codes Nalu-Wind and Adaptive Mesh Refinement-Wind, engineering farm model FLOw Redirection Induction in Steady State (FLORIS), multi-scale Weather Research Forecasting model. Significant discrepancies observed modeled wake deficits, present paper investigates sources this variability new with single turbines smaller domains....
Advances in wind-plant control have often focused on more effectively balancing power between neighboring turbines. Wake steering is one such method that provides control-based improvements a quasi-static way, but this does little to fundamentally change the wake recovery process, and thus, it has limited potential. This study investigates use of another paradigm known as dynamic (DWC) excite mutual inductance instability adjacent tip-vortex structures, thereby accelerating breakdown...
View Video Presentation: https://doi.org/10.2514/6.2023-0969.vid This paper describes the methodology of designing a replacement blade tip and winglet for wind turbine to demonstrate potential additive-manufacturing energy. The team will later field-demonstrate this additive-manufactured, system-integrated (AMSIT) on turbine. aims reduce cost energy by improving aerodynamic performance reliability, while reducing transportation costs. focuses design modeling increased power production...
In this study, we consider the impact of large-scale, convective structures in an unstable atmospheric boundary layer on wind turbine wakes. Simulation data from a high-fidelity large-eddy simulation (LES) AWAKEN farm site matching conditions were analyzed, and both performance wake behavior affected based their location relative to structures. Turbines located updraft regions flow experienced lower inflow velocity generated less power, but wakes observed recover faster saw greater turbulent...
View Video Presentation: https://doi.org/10.2514/6.2021-1182.vid Advances in wind plant control have often focused on more effectively balancing power between neighboring turbines. Wake steering is one such method that provides control-based improvements a quasi-static way, but this fundamentally does not change the downstream wake deficit and thus, can only provide limited improvement. Another paradigm to leverage turbine as flow actuator dynamically excite unstable modes wake, thereby...
Abstract A large-scale numerical computation of five wind farms was performed as a part the American WAKE experimeNt (AWAKEN). This high-fidelity used ExaWind/AMR-Wind LES solver to simulate 100 km × domain containing 541 turbines under unstable atmospheric conditions matching previous measurements. The were represented by Joukowski and OpenFAST coupled actuator disk models. Results this qualitative comparison illustrate interactions with ABL structures in flow, well extent downstream wake...
ABSTRACT In this work, we develop a new analytical turbine induction model that can incorporate complex inflow conditions including cases where the wind velocity and temperature profiles vary as functions of height. This is derived from linearized Navier–Stokes leads to second‐order ODE be solved using Green's function formulation. The corresponding for several configurations are found infinite domain, semi‐infinite domain with ground plane, power law profile. results approach then compared...
Abstract. Experiments offer incredible value to science, but results must always come with an uncertainty quantification be meaningful. This requires grappling sources of and how reduce them. In wind energy, field experiments are sometimes conducted a control treatment. this scenario due bias errors can often neglected as they impact both treatment approximately equally. However, random propagates such that the in difference between is larger than individual measurements if uncorrelated. As...
The high rates of bat mortality caused by operating wind turbines is a concern for energy and wildlife stakeholders. One theory that explains the bats are not only killed impact trauma, but also barotrauma results from exposure to pressure variations rotating turbine blades. To date, no published research has calculated changes may be exposed when flying near then used these data estimate likelihood cause in bats. address this shortcoming, we performed computational fluid dynamics...
Abstract The need for mid-fidelity wind turbine simulations is increasing due to their balance of accuracy and computational efficiency. A common form code the free wake vortex method (FVWM), but these are known inaccurately represent far-wake depending on implementation. Herein, we compare CACTUS, a FVWM code, Nalu-Wind, an actuator line model large eddy simulation (ALM-LES) with particular focus far wake. Specifically, one CACTUS simulation, which necessarily has steady uniform inflow,...
Abstract. The use of active wake mixing (AWM) to mitigate downstream turbine wakes has created new opportunities for reducing power losses in wind farms. However, many current analytical or semi-empirical models do not capture the flow instabilities which are excited through blade pitch actuation. In this work, we develop a framework modeling AWM accounts impacts large-scale coherent structures and turbulence on mean flow. uses triple-decomposition approach unsteady field, fine-scale...
The Additively-Manufactured, System-Integrated Tip (AMSIT) project is leveraging the flexibility of 3D printing to integrate several technologies in a wind turbine blade tip, while reducing levelized cost electricity (LCOE) produced. design integration demonstrated for 200 kilowatt-scale with 13-meter blades, outer 15% replaced 3D-printed design. Aerodynamic performance enhanced through inclusion winglet and surface texturing, both challenging traditional manufacturing. Longevity durability...
Abstract The Rotor Aerodynamics, Aeroelastics, and Wake (RAAW) project’s main objective was collecting data for validation of aerodynamic aeroelastic codes large, flexible rotors. These come from scanning lidars the inflow wake, met tower, profiling lidar, blade deflection photogrammetry, turbine SCADA (including root bending loads), hub-mounted SpinnerLidar measurements. goal present work is to analyze various methods align in time space with individual loading. would prove a way analyzing...
ABSTRACT The Additively‐Manufactured, System‐Integrated Tip (AMSIT) project is leveraging the flexibility of 3D printing to integrate several technologies in a wind turbine blade tip, while reducing levelized cost electricity (LCOE) produced. design integration demonstrated for 200‐kW–scale with 13‐m blades, outer 15% replaced 3D‐printed design. Aerodynamic performance enhanced without increasing swept area through inclusion winglet and surface texturing, both challenging traditional...
To validate the second-by-second dynamics of turbines in field experiments, it is necessary to accurately reconstruct winds going into turbine. Current time-resolved inflow reconstruction techniques estimate wind behavior unobserved regions using relatively simple spectral-based models atmosphere. Here, we develop a technique for that rooted large-eddy simulation model Our "large-eddy reconstruction" blends observations and atmospheric information through diffusion machine learning...