A review on modeling and simulation of blowdown from pressurized vessels and pipelines

Shafiq, Umar; Shariff, Azmi Mohd; Babar, Muhammad; Azeem, Babar; Ali, Abulhassan; Bustam, Mohamad Azmi

doi:10.1016/j.psep.2019.10.035

Cited by 17 publications

(6 citation statements)

References 55 publications

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“…liquid gas (8) where η is the mass fraction of the liquid phase. ρ liquid and ρ gas are the densities of liquid and gas.…”

Section: Theoretical Modelingmentioning

confidence: 99%

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Theoretical Study on the Influence of the Multistage Throttling Structure during the Venting Operation

Yu,

Yan,

et al. 2024

Ind. Eng. Chem. Res.

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“…liquid gas (8) where η is the mass fraction of the liquid phase. ρ liquid and ρ gas are the densities of liquid and gas.…”

Section: Theoretical Modelingmentioning

confidence: 99%

“…5,6 The safety of CO 2 migration is highly demanding because potential CO 2 leakage could cause numerous environmental issues. 7,8 Overpressure is a common threat to the safe operation of long-distance pipelines. The artificial venting operation is essential to keep the pressure of the pipeline within the normal range.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Study on the Influence of the Multistage Throttling Structure during the Venting Operation

Yu,

Yan,

et al. 2024

Ind. Eng. Chem. Res.

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“…A single tool has been identified, which is free (as in beer), but still closed source (Kuroki et al, 2021). Below is a partial list of tools, which have comparable capabilities as HydDown -for review of more codes, please refer to Shafiq et al (2020).…”

Section: Statement Of Needmentioning

confidence: 99%

HydDown: A Python package for calculation of hydrogen (or other gas) pressure vessel filling and discharge

Andreasen¹

2021

JOSS

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HydDown (Andreasen, 2021) is a Python package for calculation of pressure vessel behaviour during filling (pressurisation) or discharge (depressurisation/blow-down). More specifically, the software allows calculation of vessel pressure, fluid inventory temperature as well as vessel wall temperature as a function of time during either filling or discharge operations. The applications are manifold and some examples are:

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“…The extensive use of fossil fuels causes severe environmental issues such as global warming, ozone layer depletion due to stratospheric pollution, and rapid climate changes [1][2][3]. It is forecast that the existing production systems will not fulfill global energy demand due to the depletion of fossil fuels, which may lead to exponential prices of fossil fuels [4,5]. These issues require immediate attention to find alternative fuels with a minimal negative environmental impact [6,7].…”

Section: Introductionmentioning

confidence: 99%

Process optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without catalyst

et al. 2023

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This study reports optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without the use of any catalyst. Although the catalyst enhances the reaction rate but due to the presence of water contents in waste cooking oil, the use of catalyst could cause a negative impact on the biodiesel yield. The transesterification reaction without catalyst also offers the advantage of the reduction of pretreatment cost. This study comprises of two steps; first step involves the development and validation of process simulation scheme. The second step involves the optimization using Response Surface Methodology. Face-centered central composite design of experiments is used for experimental matrix development and subsequent statistical analysis of the results. Analysis of variance (ANOVA) is employed for optimization purpose. In addition, a sensitivity study of the process parameters including pressure, temperature, and molar ration of oil-to-methanol was conducted. The statistical analysis reveals that temperature is the most influential process parameter as compared to pressure and oil-to-methanol molar ratio. The optimization study results in the maximum biodiesel yield (94.16%) at an optimum temperature of 274.8°C, 7.02 bar pressure, and an oil-to-methanol molar ratio of 12.43.

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A review on modeling and simulation of blowdown from pressurized vessels and pipelines

Cited by 17 publications

References 55 publications

Theoretical Study on the Influence of the Multistage Throttling Structure during the Venting Operation

Theoretical Study on the Influence of the Multistage Throttling Structure during the Venting Operation

HydDown: A Python package for calculation of hydrogen (or other gas) pressure vessel filling and discharge

Process optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without catalyst

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