Project Grant DEFE0032484
Award Date
7/23/24
Completion Date
7/22/27
Dollars Obligated
$1.5M
Funding Federal Agency
Office of Fossil Energy
Awarding Federal Agency
National Energy Technology Lab
Federal Grant Program
81.089
Assistance Type
Project Grant
Place of Performance
El Paso, TX 79968, USA
Similar Awards
The Department of Energy's Office of Fossil Energy and Carbon Management, under the Fossil Energy Research and Development program (CFDA 81.089), awarded a $865,961 Cooperative Agreement to Baker Hughes Energy Transition LLC to develop a digital twin framework for hydrogen-blended natural gas turbine systems with point-source carbon capture technology. The objectives include validating a digital twin architecture for "blue hydrogen" with carbon capture from natural gas turbines,...
The Department of Energy's Office of Fossil Energy and Carbon Management awarded a $874,964 Cooperative Agreement to the Electric Power Research Institute (EPRI) under the Fossil Energy Research and Development (CFDA 81.089) federal grant program. The award supports the development of a physics-based digital twin and surrogate model for a hydrogen-blend combined cycle gas turbine with post-combustion carbon capture. The goal is to enhance operational efficiency, optimize flexible operations, and...
This $256,000 National Science Foundation Engineering Directorate Project Grant supports the development of a digital twin composition method by Diamond Age Technology LLC. The awardee will develop techniques to efficiently combine disparate data sources describing industrial process facilities into a single digital representation with sub-centimeter accuracy. This digital twin can then be projected into spatial computing environments like virtual and augmented reality. The goal is to encode...
This Project Grant award from the National Science Foundation (NSF) under program CFDA 47.041 Engineering will establish a new framework for digital twin modeling of urban energy delivery strategies. The $269,164 award to Purdue University will address challenges in integrating electric mobility into urban infrastructure to ensure efficient energy delivery while promoting sustainability and economic viability. The research consists of three thrusts: 1) designing a three-sided market modeling...
This Cooperative Agreement award from the U.S. Department of Energy's (DOE) Fossil Energy Research and Development (CFDA 81.089) program, totaling $3,692,531, aims to demonstrate the feasibility of integrating Laser-Induced Breakdown Spectroscopy (LIBS) with machine learning (ML) to provide real-time monitoring and control of feedstock characteristics for hydrogen-producing gasifiers. The prime awardee, Lehigh University, will lead the project to: 1) assemble a material inventory and sampling...
This National Science Foundation Project Grant of $283,099 will support the development of new stochastic optimization methods to calibrate digital twins using large datasets. Awarded under the Engineering program (CFDA 47.041), the grant will fund research at the University of Michigan from January 2023 through December 2025. Specifically, the university researchers will develop computational approaches using statistical theories to guide simulation experiments and identify optimal subsets of...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund $294,929 of research at New York University (NYU) from September 1, 2024 to August 31, 2027. The research aims to establish a new framework for digital twin modeling of urban energy delivery strategies, grounded in logistics and platform economics. It will leverage both model-based and data-driven approaches, along with a living lab and industry collaboration, to address challenges...
The National Science Foundation (NSF) Directorate for Engineering has awarded The Research Foundation for the State University of New York (RF-SUNY) a $240,497 Project Grant under the Engineering program (CFDA 47.041) to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability. The key objectives of this 3-year project are to: 1) develop online health monitoring and diagnostics capabilities to predict and prevent failures of SST components,...
Fpolisolutions, LLC was awarded a $200,000 Project Grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to develop a Digital-Twin Enterprise Infrastructure for Plant Asset Monitoring and Predictive Maintenance. The grant aims to fund the creation of a digital twin system that will allow for monitoring and predictive analysis of industrial plant assets to optimize maintenance. This aligns with the Office of Science's...
This Project Grant award of $200,000 from the National Science Foundation's Engineering program (CFDA 47.041) will support the establishment of the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM) at the University of Michigan. The center will conduct fundamental research to advance the development, deployment, maintenance, and evaluation of digital twins in manufacturing domains. Key focus areas include digital twin frameworks and standards, digital...