One challenge of fire and explosion dynamics is how to identify leak locations in order to aid decision makers in emergency response. In the event of a release, it is also important to know the current and future spatial extent of concentration as well as its location. Hence, reliable release and dispersion models are extremely important.
Early detection near places of strategic importance for release and model potential consequence from fires and explosions, coupled with large-scale dispersion and fire testing if possible.
Relevant concentration sensors are required to detect the chemical where they can form a network of static sensors on the ground to estimate the source term. The source term estimation from these sensor measurements is a problem in inverse modelling which is highly nonlinear. The fire and explosion consequence will be estimated by using both CFD modeling and large-scale testing in scenarios such as LNG/LPG pool fires, vapor cloud explosion, and hydrogen explosion of deflagration to detonation transition. The TEEX Brayton Fire Field at Texas A&M University provides a large-scale outdoor facility for fire, explosion, release and dispersion experiments.
(1) Suppression Behavior of Water Mist Containing Compound Additives on Lithium-ion Batteries Fire, Process Safety and Environmental Protection 2022, 161, 476-487. DOI: 10.1016/j.psep.2022.03.062
(2) Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review, Journal of Loss Prevention in the Process Industries 2020, 67, 104252. DOI: 10.1016/j.jlp.2020.104252
(3) Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution, Process Safety and Environmental Protection 2018, 117, 498-510. DOI: 10.1016/j.psep.2018.05.028
(4) Consequence analysis of accidental release of supercritical carbon dioxide from high pressure pipelines, International Journal of Greenhouse Gas Control 2016, 55, 166–176. DOI: 10.1016/j.ijggc.2016.10.010
(5) Optimization of Water Mist Droplet Size by Using CFD Modeling for Fire Suppressions, Journal of Loss Prevention in the Process Industries 2016, 44, 626–632. DOI: 10.1016/j.jlp.2016.04.010