STUDIES ON THE CHEMICAL BEHAVIOUR OF SODIUM FIRE AEROSOLS DURING ATMOSPHERIC DISPERSION A. PLANTAMP, T. GILARDI, C. PERRAIS CEA, DEN, Cadarache, DTN/SMTA/LIPC 13108 Saint-Paul-Lez-Durance - France H. MUHR LRGP CNRS UMR 7274, ENSIC/Université de Lorraine 1 rue Grandville, BP 20451, 54 001 NANCY - France EXTENDED ABSTRACT The use of liquid sodium, as a coolant in Sodium cooled Fast Reactors (SFR) circuits, requires to study the consequences of a sodium fire for safety analysis, and particularly the toxicological impact of sodium fire aerosols, which can be potentially released in the atmosphere. More particularly, the carbonation of sodium fire aerosols from sodium hydroxide (NaOH) to sodium carbonate (Na2CO3) is investigated. The sodium fire aerosols initially composed of sodium oxides (Na2O and Na2O2) are quickly converted into sodium hydroxide by hydration with air moisture, and then into sodium carbonate with atmospheric CO2. A kinetic model based on a shrinking core description is developed to calculate the chemical conversion from NaOH to Na2CO3 during atmospheric dispersion and validated with several experiments for small particles (mean diameter around one micron) and relative humidity higher than 20% [1]. This first model takes into account the internal diffusion of CO2 through the product layer as the limiting step of the carbonation kinetics. The impact of the particle expansion is also added, even if the layer porosity is not considered. Different improvements of this model are developed. The first one deals with the hydration equilibrium of sodium hydroxide particles with moisture. We take into account the influence of relative humidity on the size and density of NaOH initial particles, due to the hygroscopic and deliquescent properties of this compound. The calculation is made considering thermodynamic equilibrium of H2O content between gas phase and the particle surface [2] and using, in particular, the water activity coefficient in an electrolyte solution of NaOH, determined experimentally [3-4]. Secondly, the integration into the model of the external transport as a limitation of the CO 2 transfer enables to take into account a possible change of kinetic regime depending on the dispersion conditions and the aerosol characteristics. It is shown that the surface reaction is not a limiting step, by calculating the Thiele modulus (greater than 100 for particle diameter greater than 1 micron) from kinetic data in liquid phase [5]. Finally, the aerosol porosity is incorporated in the model, within the sodium carbonate density and the CO2 effective diffusivity in the sodium carbonate layer. The evaluation of this last parameter is made from a theoretical model based on the molecular diffusion of CO2 in air and on the influence of the porous layer microstructure. Indeed, as a first approach, it is assumed that the pores of the sodium carbonate layer are filled with air. This kinetic model, is adapted to the experimental results [6-8], using an adjusted value of the effective coefficient De of 2.10-10 m²/s and a porosity of 50% to fit with these experimental data. Figure 1 shows the comparison graph of the kinetic model results with the experimental results of Cherdron et al. [6]. For the kinetic model calculations, the value of the non-hydrated initial diameter of the particles is taken at 0.65 micron. The values of the kinetic model are consistent with those experiments, for relative humidities greater than 20%. Indeed, the kinetic model is available when hydrated NaOH is a liquid phase, i.e. for relative humidity greater than 7 % (corresponding to the solubility limit of NaOH in water at 20 °C). Conversion rate XNaOH 1 0.8 Model RH = 3% Cherdron RH < 3% Model RH = 20% Cherdron RH = 20 % Model RH = 50 % Cherdron RH > 50 % 0.6 0.4 0.2 0 0 100 200 300 400 500 600 Time (s) Figure 1. Comparison of the kinetic model with the experimental data of Cherdon et al. [6] It is necessary to improve the model through a better estimation of the aerosol porosity and the effective diffusion coefficient, since so far, there is no direct measurement of these aerosol properties. Therefore, a sensitivity analysis on these two parameters is shown below, and the experimental program described below includes aerosol characterization and measurement of the effective diffusion coefficient De. The sensitivity study on the two major model parameters (porosity and effective diffusivity) shows that porosity has a moderate influence on the full conversion time, ttotal while the influence of the effective diffusivity is more significant considering the possible range of variation. Table 1 presents the data of the full conversion time calculated for values of effective diffusivity between 5.10-6 and 1.10-10 m²/s, and by setting the values of relative humidity (50%), porosity (50%) and tortuosity (2) : De (m²/s) 5.10-6 1.10-6 5.10-7 1.10-7 5.10-8 1.10-8 5.10-9 1.10-9 1.10-10 t total (s) 0,048 0,241 0,482 2,41 4,82 24,1 48,2 240,8 2408 Table 1. Influence of the effective diffusion coefficient De on full conversion time of NaOH aerosols Therefore, the value of the effective diffusivity (currently based on the molecular diffusivity of CO2 in air) must be confirmed. The adjusted value for the kinetic model of the effective coefficient De (2.10-10 m²/s) corresponds to a range of usual diffusivity in liquid phase. But, the validation of kinetic model is only partial: the experimental results validate the model only for small particles diameter (<1 micron), while particles of several microns are observed in some cases. An experimental study is investigated to obtain the missing data of the kinetic model namely: the microstructure of aerosols from a sodium fire (especially the porosity) and the direct measurement of the effective diffusion coefficient of CO2 in air through a porous sodium carbonate, representative of aerosol microstructure in a dedicated experiment. The material considered to represent sodium aerosols is the product of sodium carbonation using a treatment process for waste containing sodium [9]. References [1] [2] [3] [4] [5] [6] [7] [8] [9] Gilardi, T., Chassery, A., Baskaran, R., Subramanian, V., Latgé, C., Perrais, C., (2013). 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