Project Grant 2528585

Award Date 6/1/25
Completion Date 5/31/28
Dollars Obligated $306K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Portland, OR 97201, USA
Similar Awards
This Project Grant award of $289,463 from the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) program (CFDA 47.041 - Engineering) supports collaborative research between U.S. and U.K. investigators to develop models and conduct experiments focused on unwinding the complex entrainment processes in wind farm to wind farm interactions. The research aims to quantify and model the momentum deficit and recovery in the wake of a...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award to Portland State University (PSU) totaling $330,669 will develop and apply novel computational and experimental tools to study complex fluid dynamics interactions between floating wind turbine wakes, prevailing winds, and ocean waves. Key goals include: (i) Developing improved surface flux parameterizations for large eddy simulations (LES) of the marine boundary layer above ocean waves, using a...
The National Science Foundation awarded Portland State University a $278,667 project grant under the Engineering federal grant program (CFDA 47.041) to conduct collaborative research from April 1, 2023 to March 31, 2026. The university will investigate transport and mixing processes in turbulent boundary layers over ground-elevated surface roughness, such as flows over different types of surface roughness configurations. Researchers will utilize innovative large-eddy simulations and particle...
The National Science Foundation awarded Portland State University a $388,018 project grant under the Engineering program (CFDA 47.041) for the period of June 1, 2021 through May 31, 2024. The grant funds collaborative research to systematically characterize the dynamics of floating wind turbine arrays through empirical testing and analysis. This work will empower the development of next generation offshore wind farms. As the sole awardee, Portland State University will leverage the funding to...
This $199,355 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Massachusetts Boston to address fundamental issues in integrating offshore wind energy and other marine energy systems. The key objectives are to: 1) Rigorously evaluate the impact of wake effects and farm-to-farm interactions on the efficiency of using marine space for power production, 2) Identify areas less suited for offshore wind but...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $365,447 to the University of Massachusetts to conduct research on modeling the influence of turbulence on flow-induced instabilities of large flexible structures, with a focus on wind turbine blades. The project aims to develop a novel dynamic model for fluid-structure interaction systems that can accurately account for the effects of turbulence on the onset and post-critical behavior...
This $500,419 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of new computational simulations to analyze the interactions between offshore wind turbines and air-water flows in complex bathymetry. The project, titled "COUPLED AIR-SEA DYNAMICS IN OFFSHORE WIND TURBINE FLOWS WITH COMPLEX BATHYMETRY", will validate a coupled wind-sea numerical framework, characterize the dependence of turbine power and...
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $303,839 Project Grant to the Massachusetts Institute of Technology under the Engineering federal grant program (CFDA 47.041) from October 1, 2022 to September 30, 2025. The grant will support research to characterize and model the impacts of Coriolis forces and atmospheric stability effects on wind turbine wake dynamics. The grantee will conduct large eddy simulation...
This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) totaling $256,000 was awarded to Arctura, Inc. to develop a model-free approach to maximizing annual energy production at wind farms through wake steering control of wind turbines. Specifically, the grantee will introduce an extremum seeking control strategy that allows arrays of turbines to work together to minimize power losses by steering the wakes of upstream turbines away from downwind rows. This...
This $399,968 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to The Johns Hopkins University supports a collaborative research effort to develop improved computational and experimental tools for studying the complex fluid dynamic interactions between floating wind turbines, winds, and ocean waves. The key objectives are to: (i) develop enhanced surface flux parameterizations for large eddy simulations of the marine boundary layer, (ii)...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $306,177 to Portland State University to conduct collaborative research on unwinding entrainment processes in wind farm to wind farm interactions. The key objectives are to: (I) quantify and develop models for the production and recovery of momentum deficit that a single wind farm generates at its downstream outflow, and (II) understand how this outflow interacts with downstream wind farms. The research will utilize a combination of detailed laboratory experiments and high-fidelity numerical simulations to consider various real-world conditions, including changes in ground surface roughness, Coriolis force, thermal stratification, global blockage, and entrainment between the atmospheric boundary layer and wind farm wakes. This 3-year project, commencing on June 1, 2025, aims to increase the accuracy and efficiency of current wind farm engineering flow-tools, ultimately contributing to more accurate planning of wind farms.

Generated 7/15/25, 10:18 AM