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ENCIT 2018
Brazilian Congress of Thermal Sciences and Engineering
SIMULATION OF AIR POLLUTANTS DISPERSION IN THE MICRO REGION OF THE MUNICIPALITY OF RIO DE JANEIRO IN REAL SCALE
Submission Author:
Javier Aliaga Rivera , RJ , Brazil
Co-Authors:
Javier Aliaga Rivera, Marcos Sebastião de Paula Gomes
Presenter: Javier Aliaga Rivera
doi://10.26678/ABCM.ENCIT2018.CIT18-0459
Abstract
In the city of Rio de Janeiro, for reasons of economic and administrative character, the number of measurement points of the air quality monitoring network is limited and especially the spatial arrangement of them may not have been adequate. Therefore, to support the concentration measurements and to know their evolution, in this study it was used models based on computational fluid dynamics. The area surrounding the Tijuca station was chosen as the study site and it was investigated the dispersion of pollutants emitted by vehicular sources: carbon monoxide, nitrogen dioxide and sulfur dioxide. This was performed in a neutral atmospheric condition, more common in the winter months. It was used the commercial package Fluent version 17.1 and the RANS transport equations were closed with the standard k-ε turbulence model. Among the most important tasks it can be mentioned: to support a developed atmospheric boundary layer over the computational domain, to develop the appropriate settings of boundary conditions, to define the model constants, the modification of the law of the wall constants and to perform the computational grid tests based on convergence criteria for an increase in the mesh density. The study allowed us to analyze the influence of the turbulent kinetic energy generated by the movement of vehicles on the tracks over the behavior of the plume, and to determine which is the turbulent Schmidt number for the model that best fits the real dispersion profiles. The results obtained in the simulations were compared between each other and with available experimental data from the Tijuca monitoring station, observing good agreement with the data.
Keywords
Air quality, exhaust emission, Numerical simulation, CFD, ANSYS Fluent
