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Dispersion Modeling of Air Pollutants from Gas Flares

Mirrezaei, Mohammad Amin | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 47185 (53)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Arhami, Mohammad
  7. Abstract:
  8. In the current study, the dispersion of four major air pollutants, sulphur dioxide, nitrogen oxide, carbon monoxide, and particulate matter from gas flares of an oil field, in Iran, was investigated for year 2011 by application of a conventional steady state Gaussian dispersion model, AERMOD. Two scenarios were applied in modeling, first application of flare parameters based on technologies that exist and the other one using new technologies in flares such as steam assisted with better combustion efficiency. Due to the complexity of meteorological parameters in modeling area, CALPUFF model was used in this study. CALPUFF which is a more advanced model that considers the effect of meteorological parameters in coastal area was applied with meteorological and geophysical parameters produced by WRF model for selected days of modeling period to investigate the impact of these parameters on modeling results. Since there is no option in both models for flare, flare parameters including emission rate and effective height and diameter were calculated based on EPA method to better simulating the real condition of flaring. The major goal of this study is to make a comparison of the results produced by this modeling system with standard limits of this pollutant to determine ambient air quality around flaring activity. The results of study for the first case revealed that predicted concentration of SO2 and PM was higher than Iranian petroleum air quality standard for both 24 hour and annual averages. For the second case, the results showed reduction in maximum predicted concentration in both time averages. The predicted SO2 ground level concentration was still higher than standard threshold but the number of places with unhealthy condition reduced considerably. PM predicted ground level concentration was lower than standard limits for both time averages in the second scenario that showed great impact of new flare technologies on reduction of air pollutant from flares. CALPUFF model showed good compatibility with WRF meteorological data and could properly account for the effect of meteorological and terrain parameters on dispersion modeling
  9. Keywords:
  10. Dispersion ; Flare Gases ; Weather Research and Forecasting (WRF)Modeling System ; AMS/EPA Regulatory Model (AERMOD) ; CALPUFF Model

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