American Journal of Environmental Science and Engineering

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Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company

Received: Jan. 13, 2020    Accepted: Feb. 24, 2020    Published: May 29, 2020
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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.

DOI 10.11648/j.ajese.20200402.12
Published in American Journal of Environmental Science and Engineering ( Volume 4, Issue 2, June 2020 )
Page(s) 17-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Air Pollution, CFD, Gaseous Pollutants Dispersion, Shiraz Oil Refining Company

References
[1] Odigure J. O., “Safety Loss and Pollution Control in Chemical Process Industries,” pp. 80–93, 1998.
[2] Perry R. H., Chemical Engineers Hand Book, 7th ed. USA: Mc - Graw Hill International USA, 1984.
[3] M. Bady, “Evaluation of Gaussian Plume Model against CFD Simulations through the Estimation of CO and NO Concentrations in an Urban Area,” Am. J. Environ. Sci., vol. 13, pp. 93–102, 2017.
[4] P. Goyal and T. V. B. P. S. Rama Krishna, “Dispersion of pollutants in convective low wind: A case study of Delhi,” Atmos. Environ., vol. 36, no. 12, pp. 2071–2079, 2002.
[5] A. Namdeo, G. Mitchell, and R. Dixon, “TEMMS: an Integrated Package for Modelling and Mapping Urban Traffic Emissions and Air Quality,” Environ. Model. Softw., vol. 17, no. 2, pp. 177–188, 2009.
[6] S. M. Tauseef, D. Rashtchian, and S. A. Abbasi, “CFD-based simulation of dense gas dispersion in presence of obstacles,” J. Loss Prev. Process Ind., vol. 24, no. 4, pp. 371–376, 2011.
[7] B. R. Cormier, R. Qi, G. W. Yun, Y. Zhang, and M. Sam Mannan, “Application of computational fluid dynamics for LNG vapor dispersion modeling: A study of key parameters,” J. Loss Prev. Process Ind., vol. 22, no. 3, pp. 332–352, 2009.
[8] S. Sklavounos and F. Rigas, “Simulation of Coyote series trials—Part I:,” Chem. Eng. Sci., vol. 61, no. 5, pp. 1434–1443, 2005.
[9] S. Baroutian, A. Mohebbi, and A. S. Goharrizi, “Measuring and modeling particulate dispersion : A case study of Kerman Cement Plant,” J. Hazard. Mater., vol. 136, pp. 468–474, 2006.
[10] X. Xie, Z. Huang, and J. S. Wang, “Impact of building configuration on air quality in street canyon,” Atmos. Environ., vol. 39, no. 25, pp. 4519–4530, 2005.
[11] Y. Tominaga and T. Stathopoulos, “CFD modeling of pollution dispersion in a street canyon: Comparison between LES and RANS,” J. Wind Eng. Ind. Aerodyn., vol. 99, no. 4, pp. 340–348, 2011.
[12] P. Taylor, A. Rahimi, T. Tavakoli, and S. Zahiri, “Computational Fluid Dynamics (CFD) Modeling of Gaseous Pollutants Dispersion in Low Wind Speed Condition: Isfahan Refinery, a Case Study,” Pet. Sci. Technol., no. 32, pp. 1318–1326, 2014.
[13] H. A. Olvera, A. R. Choudhuri, and W. W. Li, “Effects of plume buoyancy and momentum on the near-wake flow structure and dispersion behind an idealized building,” J. Wind Eng. Ind. Aerodyn., vol. 96, no. 2, pp. 209–228, 2008.
[14] P. Neofytou, A. G. Venetsanos, D. Vlachogiannis, J. G. Bartzis, and A. Scaperdas, “CFD simulations of the wind environment around an airport terminal building,” Environ. Model. Softw., vol. 21, no. 4, pp. 520–524, 2006.
[15] KonradKoeltzsch, “The height dependence of the turbulent Schmidt number within the boundary layer,” Atmos. Environ., vol. 34, no. 7, pp. 1147–1151, 2000.
[16] A. Luketa-Hanlin, R. P. Koopman, and D. L. Ermak, “On the application of computational fluid dynamics codes for liquefied natural gas dispersion,” J. Hazard. Mater., vol. 140, no. 3, pp. 504–517, 2007.
[17] D. Parrish, S. T. Schneider, J. Healey, K. Lunde, J. O. Conner, and S. Compton, “Fluent 6 User’s Guide,” 2002.
[18] M. Bady, S. Kato, and H. Huang, “Towards the application of indoor ventilation efficiency indices to evaluate the air quality of urban areas,” Build. Environ., vol. 43, no. 12, pp. 1991–2004, 2008.
[19] M. Pontiggia and D. Appolonia, “CFD model simulation of LPG dispersion in urban areas,” J. Hazard. Mater., vol. 176, pp. 589–596, 2010.
[20] H. Huang, R. Ooka, and S. Kato, “Urban thermal environment measurements and numerical simulation for an actual complex urban area covering a large district heating and cooling system in summer,” Atmos. Environ., vol. 39, no. 34, pp. 6362–6375, 2005.
[21] S. R. Hanna, J. C. Chang, and D. G. Strimaitis, “HAZARDOUS GAS M O D E L EVALUATION WITH,” Atmos. Environ., vol. 27, no. 15, pp. 2265–2285, 1993.
[22] J. C. Chang and S. R. Hanna, “Air quality model performance evaluation,” Meteorol. Atmos. Phys., vol. 87, no. 1–3, pp. 167–196, 2004.
[23] M. Milliez and B. Carissimo, “Numerical simulations of pollutant dispersion in an idealized urban area, for different meteorological conditions,” Boundary-Layer Meteorol., vol. 122, no. 2, pp. 321–342, 2007.
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    Shiva Hashemi, Dariush Mowla, Fereidoun Esmaeilzadeh. (2020). Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company. American Journal of Environmental Science and Engineering, 4(2), 17-23. https://doi.org/10.11648/j.ajese.20200402.12

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    ACS Style

    Shiva Hashemi; Dariush Mowla; Fereidoun Esmaeilzadeh. Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company. Am. J. Environ. Sci. Eng. 2020, 4(2), 17-23. doi: 10.11648/j.ajese.20200402.12

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    AMA Style

    Shiva Hashemi, Dariush Mowla, Fereidoun Esmaeilzadeh. Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company. Am J Environ Sci Eng. 2020;4(2):17-23. doi: 10.11648/j.ajese.20200402.12

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  • @article{10.11648/j.ajese.20200402.12,
      author = {Shiva Hashemi and Dariush Mowla and Fereidoun Esmaeilzadeh},
      title = {Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company},
      journal = {American Journal of Environmental Science and Engineering},
      volume = {4},
      number = {2},
      pages = {17-23},
      doi = {10.11648/j.ajese.20200402.12},
      url = {https://doi.org/10.11648/j.ajese.20200402.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajese.20200402.12},
      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.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company
    AU  - Shiva Hashemi
    AU  - Dariush Mowla
    AU  - Fereidoun Esmaeilzadeh
    Y1  - 2020/05/29
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajese.20200402.12
    DO  - 10.11648/j.ajese.20200402.12
    T2  - American Journal of Environmental Science and Engineering
    JF  - American Journal of Environmental Science and Engineering
    JO  - American Journal of Environmental Science and Engineering
    SP  - 17
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2578-7993
    UR  - https://doi.org/10.11648/j.ajese.20200402.12
    AB  - 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.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran

  • School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran; Environmental Research Center in Petroleum and Petrochemical Industries, Shiraz University, Shiraz, Iran

  • School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran

  • Section