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,...
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...
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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support a research project at the University of Vermont & State Agricultural College to improve computational methods for analyzing the environmental impacts of renewable energy hub systems. The $200,000 award, effective June 1, 2025 through May 31, 2027, will integrate life cycle analysis and system dynamic modeling to enable accurate, efficient, and accessible evaluation of...
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...
Georgia Tech Research Corporation was awarded a $399,495 project grant by the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund collaborative research between U.S. and Australian researchers to develop responsible artificial intelligence frameworks, techniques, and algorithms for enabling an equitable Internet of Energy. Specifically, the researchers...
The National Science Foundation (NSF) awarded a $418,561 federal Project Grant to The Trustees of the Stevens Institute of Technology under the Engineering program (CFDA 47.041). The 5-year project, titled "CAREER: Evaluating Cooperative Intelligence in Connected Communities", is exploring how groups of buildings can autonomously share and manage distributed energy resources such as solar panels, batteries, and generators to enhance energy efficiency and sustainability. Through a...
This $330,000 National Science Foundation project grant supports research at Purdue University from November 2022 through July 2025 to develop analytics and a prototype system for adaptive, human-centric coordination of demand-side flexibility at scale in electric power distribution networks. The goal is to enable actionable demand-side flexibility through adequate representation of consumer constraints and interactions with the energy system and provider. Researchers will develop learning...
This federal Project Grant award, with a total funding amount of $199,999, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of an "Interaction-Aware Management Framework to Improve the Efficiency and Sustainability of Electric Transportation and Power Systems." The key products and services to be delivered through this 3-year project (01/01/2025 - 12/31/2027)...
This three-year, $234,197 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund the development of an integrated systems model to understand and predict energy futures. Awarded to Georgia Tech Research Corporation on April 1, 2023 and set to be completed by March 31, 2026, this grant is part of the NSF Engineering program (CFDA 47.041).
The grant recipients will develop a holistic model of energy demand that considers how consumer actions simultaneously impact multiple sectors, such as residences, vehicles, commercial buildings, server networks, and purchased goods production. This will be achieved by integrating government microdata on consumer behavior and modern data analysis methods. A set of models will then map consumer attributes to energy use and carbon emissions across these sectors. Outreach activities include workshops, an energy demand game, and a summer camp for underrepresented high school students. The integrated dataset and holistic modeling framework will provide policymakers with a more comprehensive understanding of broader energy demand impacts.