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- ANSYS CFX (1)
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- Computational fluid dynamics (CFD) (1)
- Cone calorimeter (1)
- Energy carriers (1)
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- Fire dynamics simulator (FDS) (1)
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Approaches towards a generic methodology for storage of hazardous energy carriers and waste products
(2013)
Energy carriers – either conventional or 'new' ones – have to be provided in large amounts to meet the requirements of permanent availability and reliable supply of electricity. Depending on their state of aggregation, energy carriers are either stored in large masses (if solid or liquid) or at elevated pressures (if gaseous). Both impose the hazard of large-scale fire, in the latter case additionally the danger of explosion or unintended release. Very similar hazards occur for wastes. Solid wastes are present in large masses and only a small part is recycled. Most of the solid wastes are used in energy conversion. The main gaseous waste is CO2. During capturing also the hazard of unintended release exists. In this article, existing approaches for safe storage and fire prevention are discussed and a generic methodology is outlined. This methodology consists of the following steps:
gaining knowledge about the behaviour of the material stored (reactivity, thermal stability, etc.),
assessing the environmental conditions for the storage site (neighbourhood, safety distances, etc.),
assessment of prospective consequences of an incident and
development of individual loss prevention conceptions.
All steps require both experimental testing and theoretical considerations about accident scenarios as integral parts of the methodology.
CFD modeling approach of smoke toxicity and opacity for flaming and non-flaming combustion processes
(2016)
Current engineer’s methods of fire safety design include various approaches to calculate the fire Propagation and smoke spread in buildings by means of computational fluid dynamics (CFD). Because of the increased computational capacity, CFD is commonly used for prediction of time-dependent safety parameters such as critical temperature, smoke layer height, rescue times, distributions of chemical products, and smoke toxicity and visibility. The analysis of smoke components with CFD is particularly complex, because the composition of the fire gases and also the smoke quantities depends on material properties and also on ambient and burning conditions. Oxygen concentrations and the temperature distribution in the compartment affect smoke production and smoke gas toxicity qualitatively and quantitatively. For safety designs,
it can be necessary to take these influences into account. Current smoke models in CFD often use a constant smoke yield that does not vary with different fire conditions. If smoke gas toxicity is considered, a simple approach with the focus on carbon monoxide is often used. On the basis of a large set of experimental data, a numerical smoke model has been developed. The developed numerical smoke model includes optical properties, production, and toxic potential of smoke under different conditions. For the setup of the numerical model, experimental data were used for calculation of chemical components and evaluation of smoke toxicity under different combustion conditions. Therefore, averaged reaction equations were developed from experimental measurements and implemented in ANSYS CFX 14.0.
The amount of heat, which is released by fire loads during the combustion
process, depends on the material characteristics, the ventilation
conditions, the storage density and the distribution. To evaluate the
structural stability of buildings in case of fire, the fire load has to be
quantified. In Germany, the fire load is quantified by using the combustion
factor m, while internationally the combustion efficiency χ is
applied. Both factors assess the burning behavior of materials, but the
determination is carried out in different ways. Since the testing facility
was abolished fifteen years ago, it is not possible to determine the combustion
factor m anymore. So, it should be found out, if the combustion
efficiency χ is a convenient method to quantify the fire load under the
consideration of the German standards. As a part of the research, combustion
efficiencies χ were determined for eight materials in the cone
calorimeter and the single burning item test at different heat fluxes.
The values of the combustion efficiencies χ as well as the corresponding
combustion factors m were discussed and compared to the values of the
literature. The results show an influence of the testing facility on the
combustion efficiency. The values of the combustion efficiency determined
in the single burning item test were higher than the values from
the cone calorimeter.
The Fractional Effective Dose model was used to predict the fire smoke toxicity numerically. In this context fire tests were carried out for three different building materials: polyurethane, flame retardant polyurethane and polyvinyl chloride. The fire tests were performed for flaming and smoldering combustion. The aim of the fire tests was to determine the light extinction, the smoke density and the combustion products at varying oxygen concentrations, different temperatures and different irradiance levels. The fire tests were performed in the German DIN-tube and also in the Cone Calorimeter. Stoichiometric coefficients at varying oxygen concentrations and temperatures were determined from measurements. With these stoichiometric coefficients reaction equations were defined and implemented in the Computational Fluid Dynamics (CFD) program, ANSYS CFX. The implemented reaction equations were used to account for different ventilation and temperature conditions in the simulation. The fire and smoke propagation was calculated numerically with CFD in the room corner test geometry. Equations to account for toxicity and light extinction were also implemented and were used to analyse the toxicity and the optical properties of fire smoke with CFD.