Abstract
A numerical modeling analysis of a pulse train diffusion, representing an odorant injection in a natural gas pipeline, was carried out and compared with experimental data from a real pipeline. The main purpose of this study is to evaluate how the odorant dispersion occurs along the pipe. Due to technical limitations, the odorant is injected in the line as a pulse and it is important to find out the point in the pipeline where the oscillating concentration of odorant fits into a range of values that meet both the legislation and the interests of customers who may have the quality of their products affected by this oscillation. Since the natural gas pipelines do not have strong streamline curvatures and the flow is always turbulent, it is relatively easy to determine the velocity and concentration fields using the Computational Fluid Dynamics techniques. In this study the RANS (Reynolds Average Navier-Stokes) equations with the k − ε turbulence model was used to build the mathematical model. Comparisons of the experimental data and numerical results show a strong agreement for the studied cases. Based on the results, it was possible to know the minimum and maximum values of odorant concentration along the pipelines.
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Abbreviations
- k :
-
Turbulent kinetic energy (m2 s−2).
- c :
-
Species concentration (mol/m3).
- D eff :
-
Effective diffusion coefficient (m2/s).
- D:
-
Diffusion coefficient (m2/s).
- D T :
-
Turbulent diffusion coefficient (m2/s).
- U :
-
Time-averaged velocity vector (m/s).
- Sc T :
-
Turbulent Schmidt number.
- ε :
-
Rate of turbulent kinetic energy dissipation (m2 s−3).
- μ :
-
Dynamic viscosity (kg m−1 s−1).
- μ T :
-
Turbulent viscosity (kg m−1 s−1).
- ρ :
-
Density (kg m−3).
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Gross, R., Fontana, E., Silva, A. et al. Dispersion of odorants in natural gas distribution networks. Heat Mass Transfer 54, 2827–2834 (2018). https://doi.org/10.1007/s00231-018-2323-5
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DOI: https://doi.org/10.1007/s00231-018-2323-5