This $1.5 million Project Grant from the National Science Foundation Office of International Science and Engineering, under the CFDA 47.079 Office of International Science and Engineering program, funds research and education activities focused on building decarbonization through artificial intelligence-empowered district heat pump systems. Specifically, the awardee Texas A&M Engineering Experiment Station and sub-awardees Temple University, Arizona State University, and Drexel University...
This $275,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program will support Community Energy Labs Inc.'s development of an advanced building management system using model predictive control and machine learning techniques. The system aims to automate complex aspects of energy-efficient building control to simplify setup and implementation for small to mid-sized commercial building owners. By reducing costs and complexity, the technology...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $294,457 to The Leland Stanford Junior University (Stanford University) explores the feasibility of using generative artificial intelligence (AI) language models to automate the creation of building energy models. The key objectives are to: 1) test the feasibility of applying generative AI to various steps of the building energy modeling process, and 2) quantify the performance and time trade-offs...
The University of Oregon was awarded a $549,999 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop new tools for decarbonizing space cooling and heating in buildings. The university will create marketable design software, design services, and system control hardware for dynamic passive building systems that utilize climatic resources like solar heat, cool air, and cold night skies to reduce...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop energy-efficient and scalable artificial intelligence (AI) systems. The $134,992 award to Rensselaer Polytechnic Institute aims to reduce unnecessary computations and data movements in AI models by enabling dynamic connectivity and elastic processing. The research will focus on three key objectives: 1) leveraging dynamic...
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 National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $587,250 to The Pennsylvania State University, doing business as Penn State, will support research to create and evaluate new methods for incorporating decision support through artificial intelligence during early building design. The project aims to develop flexible machine learning models that can predict key building performance metrics, enable interactive human-computer collaboration on design exploration,...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Rensselaer Polytechnic Institute a $120,956 Project Grant under the Engineering (47.041) federal grant program. The grant will support collaborative research on chalcogenide perovskite light emitting diodes to fill the green gap from May 2021 through April 2024. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering...
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) Directorate for Engineering's "Engineering" program (CFDA 47.041) awarded a $735,872 Project Grant to the University of Pittsburgh to develop a novel digital twin modeling framework for evaluating and minimizing greenhouse gas emissions associated with vertical infrastructure operations. The grant will support research to create high-fidelity 3D digital representations of buildings augmented with real-time sensor data, enabling the analysis of...