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Eingeladener Vortrag
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Industrial fire and explosion hazards are most often also associated with the dispersion of toxic substances.
These substances can be gases, liquids, solids or in form of aerosols. The critical toxic exposure limits to People and enviroment from such substances are regulated by the concerned authorities of the countries. In order to comply with the defined regulation estimation of such critical limits must be carried out by different semi-empirical and phenomenological models/methods for risk assessment.
Many of such methods provide a qualitative estimation of time and space dependent extrimities of toxicity. The overwhelm development of computational capacity has made it possible to perform Computational Fluid Dynamics (CFD) simulation by solving the three-dimensional transport equations for mass momentum and species in lower and upper atmosphere, respectively. CFD simulation not only provides a detailed 3D distribution of toxic particulates/gases in the neighbourhood of the plant but also helps to study the worst-case sceanrios. In the past several small- and large-scale accidents occured in oil and gas plants in different parts of the world including the recent one in Rheinland refinery near Cologne in Germany. This work deals with this accident and provides a methodology to predict the critical exposure limits of smoke emitted by a toluene tank fire by means of CFD simulation.
Organic peroxides are energetic substances liable to decompose due to exothermic reactions when exposed to uncontrolled temperature, contamination, confinement and quantity. Their safe storage and transportation are the prime concern and chemical industries and regulating authorities. Their accidental release may and most often lead to shape of a pool. In present study, safety distances from such large pool fires (diameter d = 3.4 m) of organic peroxides are numerically predicted by solving the reactive, 3-D time dependent Navier-Stokes equations with reliable assumptions. The present model is validated against the data on buoyant turbulent diffusion flames. The safety distances predicted by simulation assume three regions in a fully developed fire i.e. hot spot, luminous zone and a flame surface. The time averaged data of temperatures of these regions lead to better estimation of irradiances against the measured data. A developed sphere analogy method (for a special class of organic peroxides) for maximum surface emissive power prediction is also verified.