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...
The National Science Foundation (NSF) awarded a $190,402 Project Grant under the Engineering program (CFDA 47.041) to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This collaborative research project develops a novel adaptive data collection framework to enable reliable data collection under severe time and resource constraints for automated post-disaster rapid damage assessment. The system leverages a Bayesian probabilistic modeling approach to dynamically...
The National Science Foundation (NSF) provided a $400,000 Project Grant from its Engineering program (CFDA 47.041) to Tufts University for a 3-year collaborative research effort to develop new techniques for modeling complex cyber-physical systems. The project aims to combine data-driven machine learning approaches with physics-based modeling to create abstract yet quantitative models that can improve human interaction with engineered systems, including critical infrastructure like energy...
The National Science Foundation (NSF) awarded a $159,860 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This 3-year grant supports the development of efficient algorithms to rigorously quantify uncertainties in state estimation and network topology identification for smart electricity distribution systems. The project aims to enable more accurate modeling and secure, cost-effective...
This $393,890 federal Project Grant, awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), aims to advance the autonomy of power grids by developing innovative strategies to enhance decision-making speed, resilience, and sustainability awareness in distributed grid management models and algorithms. The key products and services to be delivered through this 5-year award include: 1) Novel machine learning-assisted optimizers to rapidly solve complex...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Engineering program (CFDA 47.041) to the Trustees of the Stevens Institute of Technology in Hoboken, NJ. The award will fund research to characterize the nanoscale interactions between biomass-derived carboxylic acids and a platinum catalyst in aqueous reforming processes. This work aims to provide insights on how to design deactivation-resistant catalysts for converting biomass waste streams into renewable hydrogen...
This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program grant, under CFDA 47.041 Engineering, aims to develop energy engineering solutions that incorporate the preferences and needs of diverse residential electricity consumers. The $500,000 award to Arizona State University, received on Aug 1, 2024, will fund research to enable the co-management of utility-owned and customer-owned distributed energy assets using artificial intelligence algorithms. The project...
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...
The National Science Foundation awarded a $265,702 Project Grant to the Rochester Institute of Technology under the Engineering program (CFDA 47.041) to develop an integrated systems model linking consumer activities, expenditures, and energy use from April 1, 2023 to March 31, 2026. The research will construct a holistic model of U.S. energy demand considering how consumer actions simultaneously impact multiple sectors, including residences, vehicles, commercial buildings, server networks,...
The National Science Foundation (NSF) awarded a $250,000 Project Grant to Carnegie Mellon University (CMU) under the Engineering program (CFDA 47.041). The grant supports the development of a "Collaborative Research: Scalable Circuit Theoretic Framework for Large Grid Simulations and Optimizations" project. The project aims to create a generalized distributed framework for solving large-scale power grid problems that are both fast and robust, enabling transformative changes in future...