cfd modeling of particulate matter dispersion from kerman cement plant
Authors
abstract
backgrounds and objectives: the dispersion of particulate matter has been known as the most serious environmental pollution of cement plants. in the present work, dispersion of the particulate matter from stack of kerman cement plant was investigated using computational fluid dynamics (cfd) modeling.materials and methods: in order to study the dispersion of particulate matter from the stack, a calculation domain with dimensions of 8000m × 800m × 400m was considered. the domain was divided to 936781 tetrahedral control volumes. the mixture two-phase model was employed to model the interaction of the particulate matter (dispersed phase) and air (continuous phase). the large eddy simulation (les) method was used for turbulence modeling.results: the concentration of particulate matter in the whole calculation domain was computed. the predicted concentrations were compared to the measured values from the literature and a good agreement was observed. the predicted concentration profiles at different cross sections were analyzed.conclusion:the results of the present work showed that cfd is a useful tool for understanding the dispersion of particulate matter in air. although the obtained results were promising, more investigations on the properties of the dispersed phase, turbulent parameters and the boundary layer effect is needed to obtain more accurate results.
similar resources
A Detailed Investigation of Particulate Dispersion from Kerman Cement Plant
The aim of this study was to investigate the particulate dispersion from Kerman Cement Plant. The upwind – downwind method was used to measure particle concentration and a cascade impactor was applied to determine particle size distribution. An Eulerian model, Gaussian plume model and an artificial neural network have been used to compute and predict concentration of PM10 from Ke...
full textمدلسازی پخش ذرات معلق کارخانه سیمان کرمان با استفاده از دینامیک سیالات محاسباتی
Backgrounds and Objectives: The dispersion of particulate matter has been known as the most serious environmental pollution of cement plants. In the present work, dispersion of the particulate matter from stack of Kerman Cement Plant was investigated using Computational Fluid Dynamics (CFD) modeling.Materials and Methods: In order to study the dispersion of particulate matter from the stack, a ...
full textModeling of CO dispersion from the Stack of an Iranian cement industry
The objective of our study was to simulation of carbon monoxide (CO) dispersion exited from the stacks of a cement industry of Doroud, Iran by Gaussian Model (GM). Four sampling period was conducted to measurement of CO from the factory's three-stack flow during one year. The input parameters for were the rate of CO emission, meteorological data, factors of related to the stack, and factors of ...
full textEffect of ventilation air velocities on diesel particulate matter dispersion in underground coal mines
This paper presents a detailed account of computational fluid dynamics (CFD) simulations undertaken to investigate the influence of intake (ventilation) air velocities on the flow patterns of diesel particulate matter (DPM) generated by a man-riding vehicle operating in a straight rectangular cross section tunnel in an underground coal mine. The simulation results are validated against an earli...
full textApplication of AERMOD to local scale diffusion and dispersion modeling of air pollutants from cement factory stacks (Case study: Abyek Cement Factory)
Today, the cement industry is one of the major air polluting industries in the world. Hence, in this study, owing to the importance and role of contaminants from the plant, an appraisal of the emission contributions in addition to other factors have been discussed. There are several reasons behind the importance of modeling air pollutants. First, the assessment of standards for air pollution, a...
full textmodeling of co dispersion from the stack of an iranian cement industry
the objective of this study was to simulate carbon monoxide (co) dispersion exited from the stacks of a cement industry in doroud, iran by gaussian model (gm). four sampling period was conducted for the measurement of co from the factory's three-stack flow during a period of one year. the input parameters were the rate of co emission, meteorological data, factors related to the stack, and...
full textMy Resources
Save resource for easier access later
Journal title:
سلامت و محیط زیستجلد ۳، شماره ۱، صفحات ۶۷-۷۴
Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023