Project Grant 2234630
- The National Science Foundation awarded a $100,003 project grant under the Engineering (47.041) federal grant program to Rensselaer Polytechnic Institute for research developing advanced artificial intelligence and machine learning techniques to intelligently control passive and hybrid conditioning systems in buildings. Specifically, the grantee will create climate- and occupant-responsive control strategies leveraging natural resources like sunlight and outdoor air to condition indoor spaces....
- 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 $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...
- The University of Oregon received a $646,563 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The three-year award beginning September 1, 2021 will support research to develop a metamaterial design platform and dynamic building blocks for manipulating mechanical waves in non-equilibrium systems violating symmetry properties. The University will leverage the funding to advance...
- This $500,000 Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) aims to develop simulation tools, partnerships, and collaboration networks to create an incubator for enhanced geothermal systems (EGS) for direct geothermal energy use, primarily for district heating and cooling. The project, which runs from August 1, 2025 to July 31, 2027, focuses on the Northeast U.S. region which experiences high-frequency and low-predictability...
- The University of North Carolina at Charlotte received a $100,000 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an energy conservation network software that simultaneously audits, monitors, and manages energy use in buildings in real-time. The software aims to improve energy management of commercial buildings through three main functions: an auditing functionality using pattern recognition to...
- This Project Grant award of $199,917 was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of Massachusetts Lowell (UML). The project aims to develop a novel method for assessing the sustainability of urban networked geothermal systems, which can improve energy efficiency and reduce reliance on fossil fuels in buildings. The research will implement a dynamic model to evaluate the environmental, economic, and social impacts of these systems...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Mimic Systems Inc. aims to develop a refrigerant-free heat pump technology using high-performance thermoelectric materials and methods. The project seeks to increase the efficiency and cost-effectiveness of traditional solid-state heat pumps by leveraging new thermoelectric materials and manufacturing processes. The goal is to surpass the performance of traditional...
- This National Science Foundation (NSF) Engineering program award to the University of Cincinnati aims to investigate the environmental and equity impacts of building decarbonization retrofits using a novel predictive modeling framework. The $414,396 project, running from January 1, 2024 to December 31, 2028, has three research objectives: (1) quantifying the benefits and burdens of building decarbonization retrofits by climate and grid region, (2) analyzing the interactions between retrofits and...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $1,196,135.00 to the University of Nebraska to develop an intelligent building control framework that uses causal reinforcement learning to reduce energy use and maintain occupant comfort in buildings. The key products and services to be delivered under this 3-year award include: Scalable methods for constructing structural causal models that describe...
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 energy loads for heating and cooling. The tools aim to address the complexity of designing and controlling these systems for different US climate regions. The university will integrate numerical optimization procedures into existing building energy modeling programs to develop a practical design tool, and use deep reinforcement learning methods to train climate- and weather-responsive agents to develop a robust control tool for operating dynamic building elements. The project will generate proof-of-concept prototypes and evaluate the tools' abilities to lower heating and cooling loads through simulations and testbeds. The Project Grant was awarded on June 15, 2023 for a completion date of May 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $550.0k | 5/4/23 |