Project Grant 2318519
Award Date
5/1/24
Completion Date
4/30/27
Dollars Obligated
$150K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Washington, DC 20052, USA
Similar Awards
This $1,000,000 RAISE (Rapid Advancement in Process Intensification Deployment) Project Grant awarded by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) will support Washington State University's research to develop a community-focused power grid wildfire resilience planning framework. The key products and services to be delivered include: An advanced wildfire simulator and outage prediction model that integrates diverse landscapes, community characteristics, and ignition...
The National Science Foundation awarded a $900,000 Project Grant to the George Washington University under the Geosciences federal grant program (CFDA 47.050) from September 1, 2022 to August 31, 2026. The grant will support research to develop a risk-informed decision-making platform that integrates wildfire prediction and modeling in Alaska with analysis of impacts to energy infrastructure and community vulnerability. Key outcomes will include advancing scientific understanding of interactions...
This $344,324 project grant from the National Science Foundation's Office of Integrative Activities will fund the development of a risk-informed decision-making platform to improve wildfire resilience in Alaska's energy sector. Awarded under the Geosciences program (CFDA 47.050), the grant will support Washington State University researchers to advance understanding of wildfire interactions among Alaska's natural environment, energy infrastructure, and social systems. The researchers will...
This $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...
This $200,000 Project Grant from the National Science Foundation Division of Mathematical Sciences will support research at Wayne State University to develop stochastic algorithms for early detection and risk prediction of hidden contingencies in modern power systems. Funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the scientific enterprise through increasing knowledge and understanding of major national problems, this three-year award...
This Project Grant award of $199,940.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program is supporting research by Rensselaer Polytechnic Institute (RPI) to develop algorithms that can quickly predict and rectify large-scale disruptions in power systems. The key objectives are: 1) Quickly and reliably detect ambient-level anomalies in power systems and distinguish them from random noise; 2) Localize any detected anomalies; and 3) Determine the...
This $299,900 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research by Virginia Polytechnic Institute & State University (Virginia Tech) on renewable energy integration and grid resiliency. The project focuses on developing new mathematical frameworks and computational strategies to enhance the modeling, monitoring, and analysis of power networks. This work aims to improve the management of...
This $326,900 project grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program, supports the development of novel combinatorial optimization techniques for smart grids and power networks at William Marsh Rice University. The key objectives are to advance the knowledge base in microgrids and their utility within the electrical grid structure, create computationally efficient algorithms to address challenges related to...
This Department of Energy Project Grant award, valued at $76,960,488 and running from February 1, 2025 to January 31, 2030, seeks to deploy a suite of advanced wildfire risk mitigation technologies within utilities facing wildfire risk challenges in the Western United States. The goal is to serve as a catalyst for widespread adoption of similar technologies across the region. A coalition of utilities, service providers, technology providers, academic institutions, and national labs has been...
This $181,004 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will develop computational tools to model, monitor, and optimize power system dynamics. The project aims to transform grid dynamic modeling, inference, and stability-enforcing solutions by leveraging synchrophasor data and advanced machine learning techniques. Key research activities include: 1) Correlating synchrophasor data to efficiently unveil power grid impulse response, 2)...