Project Grant 2228873

Award Date 8/1/23
Completion Date 7/31/26
Dollars Obligated $240K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Albany, NY 12222, USA
Similar Awards
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $239,503 Project Grant to The University Of Kentucky Research Foundation under the NSF's Engineering grant program (CFDA 47.041). The purpose of the grant is to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability and enable wider adoption in future power systems and transportation electrification. Specifically, the project will establish an...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund $294,929 of research at New York University (NYU) from September 1, 2024 to August 31, 2027. The research aims to establish a new framework for digital twin modeling of urban energy delivery strategies, grounded in logistics and platform economics. It will leverage both model-based and data-driven approaches, along with a living lab and industry collaboration, to address challenges...
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 project grant of $187,599 awarded to The Research Foundation for the State University of New York supports research at SUNY Oswego titled "ERI: A NOVEL SOLUTION TO ENABLE HIGH-VOLTAGE DC-LINKS IN ELECTRIC VEHICLES." The award period is January 1, 2022 through December 31, 2023. The research is funded under the NSF Engineering program (CFDA 47.041) and aims to foster innovation in engineering through developing a novel solution to enable higher voltage...
This NSF Directorate for Engineering (CFDA 47.041) project grant award to the New Jersey Institute of Technology (NJIT) for $1,499,991 from September 1, 2023 to August 31, 2027 aims to develop a unified framework for modernizing power systems and integrating multiple renewable energy resources. The project, titled "ASCENT: From Sensors to Multiscale Digital Twin to Autonomous Operation of Resilient Electric Power Grids," will leverage advancements in control, power electronics, and...
This Project Grant award of $1,233,079.00 from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) aims to develop a comprehensive theoretical framework for modeling, designing, sensing, and controlling the post-fault stability of future power systems with varying levels of inverter-based resources and synchronous generators. The key products and services to be delivered under this grant include: Establishing the theoretical foundations of energy functions for...
This $239,384 National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award supports the development of a high-performance computational framework for power system transient stability simulations. The project, titled "HYPERTRAN: HIGH-PERFORMANCE TRANSIENT STABILITY SIMULATION OF POWER SYSTEMS ON MODERN PARALLEL COMPUTING HARDWARE," aims to accelerate the building and solving of differential-algebraic equations used in power system modeling through parallel...
The National Science Foundation awarded a $401,696 Project Grant to the University of Texas at Dallas under the Engineering program (CFDA 47.041) for the period of October 1, 2022 to April 30, 2025. The award will support research to characterize, model, and mitigate the accelerated aging of electrical insulation systems exposed to high slew rate and repetitive voltage pulses generated by emerging wide bandgap power electronics. The grantee will conduct experimental investigations to...
This National Science Foundation Project Grant of $993,643 will fund the acquisition of a large-scale real-time digital simulator for cyber-physical energy systems at the University of Nevada, Reno from September 1, 2022 to August 31, 2025. The simulator will allow researchers to model power grids incorporating events like natural disasters, communication failures and cyberattacks. This equipment, called a real-time digital simulator, will enable multi-disciplinary research, education and...
This Project Grant from the National Science Foundation will fund the development of a level-set-based, multi-physics and multi-material topology optimization software for electric machine design. The $550,000 award, made under the NSF Technology, Innovation, and Partnerships program, will support work at Stony Brook University from August 1, 2022 to July 31, 2025. The software aims to improve electric generator and motor designs through parametric topology optimization of magnets. This will...

The National Science Foundation (NSF) Directorate for Engineering has awarded The Research Foundation for the State University of New York (RF-SUNY) a $240,497 Project Grant under the Engineering program (CFDA 47.041) to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability.

The key objectives of this 3-year project are to: 1) develop online health monitoring and diagnostics capabilities to predict and prevent failures of SST components, including semiconductor modules and high-frequency transformers; and 2) create a novel data-driven digital twin modeling approach to computationally estimate SST health performance and degradation. The research aims to significantly enhance the reliability of SSTs for safety-critical power systems and electrified transportation applications, while also advancing power electronics education through the integration of artificial intelligence techniques. The project will be led by RF-SUNY, utilizing its expertise in power electronics, reliability modeling, and data analytics.

Generated 4/30/24, 1:50 PM