Cooperative Agreement 2437233
- 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 $194,280 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a robust framework for delivering reliable frequency support to the electric grid from wind farms, while considering grid stability and the longevity of wind turbines. The key objectives include: (i) forecasting power output for multi-megawatt wind turbines using wind profile data and remote sensing measurements; (ii) ensuring safe electromechanical operation...
- This Project Grant award from the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041 - Engineering) provides $306,177 to Portland State University to conduct collaborative research on wind farm wake interactions. The research aims to quantify and model the production and recovery of momentum deficits generated by individual wind farms, as well as how these wake effects impact downstream wind farms. The project will...
- This NSF Engineering (CFDA 47.041) Project Grant, awarded to the University of Utah, aims to develop models and relationships for understanding the interactions between neighboring wind farms and their impact on electricity production. The $289,463 award, running from June 1, 2025 to May 31, 2028, will use a combination of laboratory experiments and numerical simulations to quantify the momentum deficits and entrainment processes that occur when the wake from one wind farm affects the...
- 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...
- Wayne State University received a $224,999 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on August 1, 2021 to support research titled "COLLABORATIVE RESEARCH: GENERATION VERSUS DEGRADATION: STRIKING THE OPTIMAL BALANCE FOR WIND FARM PROFITABILITY VIA DIGITIZATION, PREDICTIVE AND PRESCRIPTIVE ANALYTICS." The research is funded under the National Science Foundation's Engineering program (CFDA 47.041), which supports...
- 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)...
- The National Science Foundation (NSF) awarded a $249,994 Project Grant under its Office of International Science and Engineering (CFDA 47.079) program to Cornell University. The goal of this 2-year award is to reduce the cost of energy for wind-generated electricity and enhance the reliability of wind turbines by addressing leading edge erosion (LEE), a key challenge facing the wind energy industry. The researchers will take a multi-disciplinary approach to improve forecasting of LEE, advance...
- The National Science Foundation awarded Activecharge LLC a $256,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an integrated, self-powered sensor node for wind turbine blade monitoring. The one-year project will address technical hurdles such as lack of reliable energy sources and logistical challenges replacing batteries inside blades. Activecharge will prototype a sensor node that reliably harvests electrical voltage from blade...
- This $1.5 million project grant from the National Science Foundation Office of International Science and Engineering will fund the development of a multi-domain, multi-scale, policy-aware digital twin modeling framework for offshore wind energy infrastructure from 2023 to 2025. The primary products will be an extensible and customizable joint modeling framework to enable short, medium, and long-term modeling, learning, and assessment of offshore wind farms through the integration of measured...
This $1,246,771 cooperative agreement, awarded on September 15, 2025 by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, supports research and development to improve the efficiency and profitability of wind farms. The project aims to demonstrate a novel "wake steering" control method that adjusts the yaw angles of upstream wind turbines to divert airflow and increase power output of downstream turbines, without requiring new hardware. The core innovation is an accelerated "log-of-power extremum seeking control" algorithm that can optimize wind farm performance in real-time without relying on detailed physical models. The project will refine this algorithm, implement it on a programmable controller, and conduct a field demonstration at a commercial wind farm using utility-scale turbines. The broader impact of this research is to reduce the cost of wind energy, improve its reliability, and support clean, renewable power generation for the U.S. economy and environment.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 9/8/25 |