Performance evaluation of empirical models for vented lean hydrogen explosions

Sinha, Anubhav; Rao, Vendra C. Madhav; Wen, Jennifer X.

doi:10.1016/j.ijhydene.2018.09.101

Cited by 25 publications

(8 citation statements)

References 20 publications

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“…where is the enclosure length, is the vent area, is the enclosure surface area, and x is defined in Eq. (16). Similarly, Eq.…”

Section: Model Formulation and Simplificationmentioning

confidence: 88%

“…Obstacles in the flame path are a very common configuration in realistic accidents. However, as pointed out in our recent review [1], most available models do not account for them. While the HySEA experiments [2] show that the presence of obstacles increases the overpressure significantly, as compared to an empty enclosure.…”

Section: Effect Of Obstaclesmentioning

confidence: 95%

“…To account for the effect of obstacle, the flame surface area around an obstacle is calculated and added to the flame surface area obtained in Eq. (15). The wrapped flame surface area is calculated as:…”

Section: Effect Of Obstaclesmentioning

confidence: 99%

“…Generally, the leaked gases form a stratified mixture and don't get enough time to mix uniformly. This is an important practical configuration which is often overlooked in modelling investigations [1]. The present study aims at developing a model which will be simple to use and also incorporate realistic conditions like stratified mixture.…”

Section: Effect Of Fuel Stratificationmentioning

confidence: 99%

“…It will also be easier to assess each sub-model or constituent framework of the model against experimental data. The performance of these models and their limitations for practical conditions are highlighted in our recent reviews [1,15,16].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Modular phenomenological model for vented explosions and its validation with experimental and computational results

Sinha

Rao

Wen

2019

Journal of Loss Prevention in the Process Industries

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The present study reports a modular engineering model for predicting peak pressure in vented explosions. Modelling assumptions are explained in detail and model components are validated against experimental and computational results. A basic version of this model is reported in our earlier paper (Sinha et al. [1]). Previous experimental and modelling efforts on vented explosion have primarily focussed on idealized condition of empty container with uniformly mixed fuel. However, in real accidents, there are often obstacles in flame path, and a leaked fuel may not get enough time to mix uniformly. These realistic accidental scenarios are accounted for in this extended model. The model is further simplified, and a final equation is proposed which depend on two fuel related parameters and two geometric parameters. Fuel parameters are pre-tabulated, and geometric parameters are easy to compute. Procedure to compute pressure generated by external explosion and internal pressure are outlined in detail. Experimental results available in open literature are used to evaluate model prediction capabilities. The model, in principle should be applicable for any gaseous fuel. However, the focus of the present investigation is to assess it for hydrogen explosions. In parallel to the modelling effort, a dedicated in-house solver HyFOAM is developed utilizing OpenFOAM platform. The HyFOAM predictions are validated against experimental results from the recently published test data involving hydrogen explosion in a 20-feet ISO container (Skjold et al. [2-4]). Moreover, as experimental investigations are expensive and require significant testing and safety infrastructure, a limited number of scenarios can be tested experimentally. In 2 addition to the experimental results, few more cases are simulated using HyFOAM and engineering model results are compared with the CFD results, and a reasonably good match is observed.

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“…where is the enclosure length, is the vent area, is the enclosure surface area, and x is defined in Eq. (16). Similarly, Eq.…”

Section: Model Formulation and Simplificationmentioning

confidence: 88%

Section: Effect Of Obstaclesmentioning

confidence: 95%

Section: Effect Of Obstaclesmentioning

confidence: 99%

Section: Effect Of Fuel Stratificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%