Project Grant 2611526
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded Louisiana Tech University $181,856 under the Engineering program (CFDA 47.041) through an Engineering Research Initiation (ERI) grant, effective October 1, 2025, through September 30, 2027. The project delivers a control algorithm and theoretical framework for active power filters to compensate reactive and unbalanced currents in three-phase induction motors operating...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $129,783 Project Grant to Mississippi State University to explore the foundation and take initial steps toward establishing a taxonomy of optimal control architectures and design algorithms for power electronic converters used to integrate diverse energy systems, such as solar photovoltaics, wind, and battery energy storage, into the electricity network. The project aims to develop transformative control...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana State University $586,625 on January 1, 2027, under the Engineering program (CFDA 47.041) to conduct research on hurricane surge, wave, and debris-induced forces affecting non-stationary urban shorelines. The research establishes a new direction to understand how building damage from hurricane storm surge affects flooding and forces on remaining coastal structures in urban areas. The...
- Federal Project Grant Award Summary Louisiana State University received a $363,915 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), effective October 1, 2025, through September 30, 2028. The award funds the development of robust multiparticle quantum plasmonic sensing technologies designed to create a new generation of quantum sensors that operate effectively in real-world,...
- The National Science Foundation awarded Louisiana State University a $262,535 Project Grant under the Engineering federal grant program (CFDA 47.041) to develop a neural network-based optimal control framework for colloidal self-assembly. The university will use machine learning and optimal control theory to tackle the challenges of controlling the stochastic, high-dimensional process of small particle self-assembly driven by an external electric field. Specifically, the university aims to...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant to Northeastern University under the Engineering program (CFDA 47.041) to develop a robust and efficient state estimator that can trace the fast dynamics of inverter-based renewable energy sources. The project aims to enable effective control feedback signals and facilitate the integration of these renewable sources into power grids, resulting in cleaner, less costly, and more reliable energy delivery. Key aspects of the...
- Federal Project Grant Award Summary Louisiana State University (LSU) received a $600,000 Project Grant from the U.S. Department of Energy (DOE) Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049), awarded September 1, 2025, with an ultimate completion date of February 28, 2027. The project, titled "Pathways to Assembly of Anisotropic Particles in AC Electric Fields," will be conducted at LSU's Baton Rouge, Louisiana facility. This award supports...
- The National Science Foundation awarded a $255,558 Project Grant to Ocean Motion Technologies Inc. under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant supports the company's efforts to leverage machine learning techniques to optimize the efficiency and energy capture of ocean-based renewable power generation. Specifically, the company will utilize reinforcement learning to develop an advanced control model that adjusts wave energy capture device hardware based...
- The National Science Foundation (NSF) awarded a $484,965 project grant under the Engineering (CFDA 47.041) program to New York University (NYU) to develop transformative concepts and methodologies to enhance situational awareness of electric power distribution systems. The project aims to address challenges in integrating distributed renewable energy generation by enabling real-time tracking of distribution system operating states. Key objectives include learning-based continuous-time system...
- This National Science Foundation (NSF) Project Grant award, funded under the NSF Engineering (CFDA 47.041) program, aims to develop quantum computing-inspired algorithms to address optimization challenges in critical infrastructure systems, with a focus on power systems. The $449,922 award to Louisiana State University (LSU), to be completed by September 30, 2026, will integrate machine learning and distributed computing with quantum computing techniques to enable the solution of complex...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Louisiana State University $445,503 on August 15, 2026, under the Engineering program (CFDA 47.041) to develop physics-informed, data-driven control frameworks for wave energy converters that enable reliable grid integration. The project addresses variability in ocean wave energy conversion by combining predictive wave-force modeling, reinforcement-learned virtual inertia control, and coordinated multi-device operation with hybrid energy storage to smooth power output and support grid stability. The work encompasses forecast-aware control methods for wave energy systems, coordinated operation of multiple power converters and energy storage devices, and adaptive grid-forming control that uses wave-power forecasting to improve voltage and frequency stability. The system under study comprises an array of direct-drive linear-generator wave energy conversion devices, hybrid supercapacitor and undersea energy storage, and power electronic converters interfacing the wave-energy array and storage systems. The research advances wave energy as a reliable electricity resource for coastal, islanded, and remote communities while creating educational and research opportunities in marine energy, power electronics, machine learning, and power-system control. Performance occurs in Baton Rouge, Louisiana, with a period of performance through July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $445.5k | 8/6/26 |