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Engineering Laboratory

Fire Research Division

Projects/Programs

Displaying 1 - 25 of 28

Advanced Fire Modeling

Ongoing
The Fire Research Division develops and maintains a set of computational tools to analyze fire behavior. These tools include the Consolidated Fire and Smoke

Design Fires for Structures Project

Ongoing
This project will address upcoming needs and take advantage of new resources associated with the completion of National Fire Research Laboratory (NFRL). The
FireEPS

Engineered Fire Safe Products

Ongoing
The Engineered Fire Safe Products (EFSP) Project is developing a database (the NIST Material Flammability Database) to maintain the tools (experimental and
The National Fire Research Laboratory (NFRL) will be used as a test bed for green house gas emissions, at near industrial-scale, for performance evaluation and calibration of instruments used for CEMS and relative accuracy testing audits (RATA)

Greenhouse Gas Emissions and Transport

Ongoing
The capabilities of the NIST National Fire Research Laboratory (NFRL) will be extended to provide a test bed for performance evaluation of instruments and test

Low Heat Release Upholstered Furniture

Ongoing
To reduce the flammability of residential upholstered furniture (RUF), the fire safety community has developed test methods and mitigation strategies based on

NIST/NRC Fire Research Collaborations

Ongoing
Since 2005, the NIST Fire Research Division has engaged in a collaborative research effort with the Office of Nuclear Regulatory Research of the US Nuclear

Public Health Risks to First Responders

Ongoing
There is growing evidence that firefighters (FF) are being exposed to per- and polyfluoroalkyl substances (PFAS) associated with their gear. The source of the

Residential Fire Safety Innovation

Ongoing
Residential fire losses substantially dominate the total fire losses in the U.S. accounting for 83% of the 2855 deaths, 78% or the 16500 injuries, and 58% of

Safety of Building Occupants Project

Ongoing
NIST will develop a model to predict evacuation decision-making during fires through a better understanding and quantification of the risk perceived by