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...
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...
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 Cooperative Agreement award of $1,040,545 by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) will support a project to develop a detailed simulation model of the U.S. energy sector at the firm level. The model will analyze technological progress, investment dynamics, and market mechanisms to understand how the energy system will evolve over the next 20 years under different government policies and private investment strategies. The goal is to...
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 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $500,000 to assess the potential for implementing transactive energy services in rural New Hampshire communities. The project aims to study the technical and social factors that influence rural residents' willingness to participate in such energy-sharing, real-time pricing markets. It will examine the features and factors required to develop a socially...
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...
The National Science Foundation awarded a $198,740 project grant under the Engineering (47.041) program to South Dakota School of Mines & Technology from January 1, 2024 to December 31, 2025. The grant supports research to develop a new data-driven approach for modeling residential power demand behavior using singular value decomposition analysis of 15-minute smart meter data matched with customer surveys, property data and meteorological information. Key outcomes include a...
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 $197,828 awarded to Arizona State University on September 1, 2022 will fund research into causal theory of residential electricity consumption and production through August 31, 2024. The grant is part of NSF's Engineering Directorate 47.041 CFDA program. The project aims to enhance resident interactions with smart energy systems and empower all to benefit from new opportunities in smart electric grids. Through causal learning and analysis of...
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, and purchased goods. Key products include merging microdata from multiple federal surveys on time use, energy consumption, travel, and expenditures using modern analysis; models mapping consumer attributes to energy use and emissions across sectors; and a regression model linking commercial building energy use to consumer and employee area use. Outreach deliverables are a workshop, energy demand game, and student camp. The model and merged dataset will advance comprehensive energy demand modeling and policy analysis.