This Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems provides $284,564 to develop an advanced optical sensor using background-oriented schlieren tomography to characterize wildfire dynamics. Funded under the NSF Engineering program (CFDA 47.041), the research aims to perform time-resolved, volumetric measurements of wildfire combustion processes through a physics-informed closure for tomographic reconstruction. The...
This $370,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The University of Alabama in Huntsville to improve understanding of wildfire behavior in heterogeneous fuel mixtures from July 2022 to June 2025. The research aims to identify key physical and chemical processes controlling ignition and spread of fire in mixtures of living and dead fuels through controlled experiments and computational simulations. Lasers and other...
This $400,000 two-year Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Worcester Polytechnic Institute to better understand the role of non-steady winds on wildfire spread. Specifically, the award will support examination of the physical mechanisms by which gusting winds interact with flame-driven wildfire spread and firebrand spotting. Novel imaging methods will also be used to measure these...
The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
This Project Grant award of $219,022.00 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to establish fundamental knowledge on heat transfer mechanisms involved in the spot fire ignition process during wildfires. The primary objectives are to: 1) conduct numerical simulations to identify the effects of firebrand properties and their interactions within the boundary layer on deposition patterns over an inert flat surface; 2) incorporate surface fuel morphology and...
This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to develop a technological solution called "Ember Intelligence" to detect, track, and forecast ember movement during wildfires using drone-mounted infrared sensors, edge computing, and artificial intelligence. The $250,000 award to the University of Illinois will fund the creation of a distributed system for real-time data collection and spatiotemporal modeling of...
The National Science Foundation awarded a $900,000 Project Grant to the George Washington University under the Geosciences federal grant program (CFDA 47.050) from September 1, 2022 to August 31, 2026. The grant will support research to develop a risk-informed decision-making platform that integrates wildfire prediction and modeling in Alaska with analysis of impacts to energy infrastructure and community vulnerability. Key outcomes will include advancing scientific understanding of interactions...
Florida State University was awarded a $500,000 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041). The award will support research from March 2021 to February 2026 on multiscale firebrand transport in turbulent boundary layers to advance fire science. As part of its mission to improve engineering research and innovation, the NSF Engineering program funds...
The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $383,716 Project Grant to The Regents of the University of Colorado to improve understanding and predictive modeling of soot formation in wildfires. The 3-year project under the NSF Engineering program (CFDA 47.041) will utilize advanced experimental techniques to investigate the chemical precursors and growth mechanisms for soot particles emitted from the pyrolysis and...
This $599,974 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the creation of a physics-based computational model for predicting structural ignition risks from wildfires at the University of Michigan from January 2023 through December 2025. The model will simulate ignition from firebrands on structures using a probabilistic multiphase Eulerian approach for transport and the discrete element method for firebrand fracture and mass loss. It will be...