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.
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