The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Vermont & State Agricultural College (UVM) to develop a generalized distributed framework for solving large-scale power grid problems. The project aims to advance the state-of-the-art in nonlinear programming, physics-inspired graph-partitioning, and combinatorial optimization to enable fast and robust simulations and optimizations of the future power...
The University of Vermont received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of NSF's Engineering program (CFDA 47.041) and will fund research from March 2021 through February 2026 to enable grid-aware aggregation and real-time control of distributed energy resources in electric power distribution systems. Specifically, the University will conduct research to improve the quality and economic...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $125,000 to The Research Foundation For The State University Of New York (RF SUNY) to develop sustainable and environmentally friendly software systems. The key products and services to be delivered include: Comprehensive analysis of energy-draining "code smells" and the impact of refactoring them to reduce energy consumption and carbon emissions in high-performance computing...
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 awarded $318,188 under the Engineering (47.041) federal grant program to the University of Nevada, Las Vegas for a project titled "CAREER: GEOSPATIAL LIFE CYCLE CLIMATE CHANGE IMPACTS OF SOLAR AND OCEAN RENEWABLE ENERGY SYSTEMS." The award period is from October 1, 2022 through July 31, 2026. The project will develop geospatial life cycle assessment modeling methods to more precisely determine the climate change impacts of conventional and renewable...
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...
This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...
This NSF Engineering program Project Grant, awarded to Rochester Institute of Technology (RIT), aims to develop novel modeling and optimization approaches to enable more efficient utilization of renewable energy and energy storage resources (ESRs) for low-carbon power grid operation. The $395,783 award, with a funding period from July 1, 2024 to June 30, 2029, will support research to create ESR market participation models, formulation tightening techniques, and optimization methods to address...
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...
This National Science Foundation (NSF) Project Grant, awarded under the Engineering (CFDA 47.041) program, aims to create an AI-powered framework to help designers evaluate and optimize the environmental impact of their product designs. The $274,959 award to Florida International University will implement several key innovations: (1) Develop novel graph attention network algorithms to extract lifecycle inventory data for sustainability analysis by leveraging similarities with existing product...