CFD predictions for hazardous area classification

Andrey Oliveira de Souza; Aurélio Moreira Luiz; Antônio Tavernard Pereira Neto; Antônio Carlos Brandao de Araujo; Heleno Bispo da Silva; Sidinei Kebler da Silva; Jose Jailson Nicacio Alves

doi:10.1016/j.cjche.2018.06.002

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CFD predictions for hazardous area classification

Fluid Dynamics and Transport Phenomena | Updated：2026-01-06

- CFD predictions for hazardous area classification
- CFD predictions for hazardous area classification
- 中国化学工程学报（英文版） 2019年27卷第1期页码：21-31
- Affiliations：
  
  1. Campina Grande,PB,Brazil,432-300
  2. 2 Petrobras-Petróleo Brasileiro S. A., Av. Henrique Valadares, 28, Centro, CEP:20231- Rio De Janeiro,RJ,Brazil,030
  3. 3 Federal University of Campina Grande, Av. Aprigio Veloso, 882, CEP 58429-972, Campina Grande,PB,Brazil
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.06.002
  中图分类号：
- 纸质出版：2019
- Accepted：
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Andrey Oliveira de Souza, Aurélio Moreira Luiz, Antônio Tavernard Pereira Neto, 等. CFD predictions for hazardous area classification[J]. 中国化学工程学报（英文版）, 2019,27(1):21-31.

Andrey Oliveira de Souza, Aurélio Moreira Luiz, Antônio Tavernard Pereira Neto, Antônio Carlos Brandao de Araujo, Heleno Bispo da Silva, Sidinei Kebler da Silva, Jose Jailson Nicacio Alves. CFD predictions for hazardous area classification[J]. Chin.J.Chem.Eng., 2019, 27(1): 21-31.
Andrey Oliveira de Souza, Aurélio Moreira Luiz, Antônio Tavernard Pereira Neto, 等. CFD predictions for hazardous area classification[J]. 中国化学工程学报（英文版）, 2019,27(1):21-31. DOI： 10.1016/j.cjche.2018.06.002.

Andrey Oliveira de Souza, Aurélio Moreira Luiz, Antônio Tavernard Pereira Neto, Antônio Carlos Brandao de Araujo, Heleno Bispo da Silva, Sidinei Kebler da Silva, Jose Jailson Nicacio Alves. CFD predictions for hazardous area classification[J]. Chin.J.Chem.Eng., 2019, 27(1): 21-31. DOI： 10.1016/j.cjche.2018.06.002.

摘要

Abstract

This study aimed to describe a Computational Fluid Dynamics (CFD) procedure using the ANSYS CFX software 16.1 and Design of Experiments for the determination of volume and extension of explosive atmospheres due to fugitive emissions of flammable gases. The multidimensional statistical sampling technique Latin Hypercube was used

which defined 100 simulations of random methane gas leak conditions. The CFD model proved to be robust in predicting the extension and volume of the explosive atmosphere for orifice diameters from 0.1 to 2.5 mm

pressure from 0.1 MPa to 12 MPa and temperatures from 0℃ to 400℃. It was found that the calculation domain must be parameterized 8 m in length for each millimeter of the diameter of the source of release to ensure the predictions. In order not to lose precision for very small diameters

the mesh was parameterized with 50 elements along the orifice diameter. It was proved that gravity does not influence the extension and volume of the explosive atmosphere at sonic emissions. The deviation from the ideal gas behavior in the reservoir

achieved by applying the Soave-Redlich-Kwong equation of state

also has not significantly influenced the extension and volume of the explosive atmosphere. The results showed that the size of the explosive atmosphere varies directly with the diameter of the source emission and reservoir pressure

and inversely with the temperature of the reservoir. The diameter of the source is the parameter that has the major effect on the extension of the explosive atmosphere

followed by the pressure and lastly the temperature of the reservoir.

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