Abstract
Air pollution is simply defined as the presence of any substances such as solids, liquids and gases in the atmosphere, in the adequate amount and time that endangers the life of humans and other living creatures, or damages monuments or properties. In recent years, rapid development of industries including oil and gas industries has led to emit a considerable amount of various gaseous pollutants into the atmosphere. Therefore, developing a reliable model to predict distribution of gaseous pollutants in urban and industrial zones has become an interesting subject among environmental experts. In this study, the distribution of gaseous pollutants emitted from twenty-three stacks of different units located in Shiraz oil refining company is simulated based on the principles of Computational Fluid Dynamics (CFD). To obtain a pattern of pollutants dispersion around the Shiraz refinery, pollutants such as CO, HC, SO2 and NO are considered. To validate the proposed model, concentration of some pollutants is measured at several points of inside and outside of the refinery area and compared with the corresponding values predicted by the proposed model. Results show that there is a good agreement between the measured data and those obtained from the CFD simulation within 6.3% accuracy. Additionally, the concentrations of SO2 and HC in outside of refinery are sometimes more than their standard concentrations.
Highlights
Development of industries with the growth of population leads to the investigation of environmental pollutants transportation and distribution that has become a major concern especially in urban areas
Five turbulence Schmidt numbers were evaluated using statistical parameters to choose the best result related to SO2 (Table 2)
Schmidt number (Sct)=0.4 gives the better result than the other values of Sct
Summary
Development of industries with the growth of population leads to the investigation of environmental pollutants transportation and distribution that has become a major concern especially in urban areas. The Gaussian plume model is the most well-known analytic model for predicting the distribution of air pollutants It is computationally much more affordable, compared with other models in terms of time and modeling efforts in large scale studies [3]. A Case Study of Shiraz Oil Refining Company hardware capacity and numerical algorithms, the CFD models have become one of the common tools to simulate and predict gaseous pollutants distribution in real areas [6,7,8]. A lot of input data and much time are required, the numerical method using CFD simulation is a beneficial tool in air quality assessment Such models can define the distribution of gaseous pollutants if they are properly set up, and boundary conditions are correctly applied [3]. The effect of different parameters including wind velocity, ambient temperature and surface roughness upon gaseous dispersion is elucidated
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Environmental Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
