# Numerical Study on Hydrogen Flow Behavior in Two Compartments with Different Connecting Pipes

Authors: HanChen Liu; XueWu Cao
Journal: Science and Technology of Nuclear Installations
 (2017)

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## Abstract

Hydrogen accumulation in the containment compartments under severe accidents would result in high concentration, which could lead to hydrogen deflagration or detonation. Therefore, getting detailed hydrogen flow and distribution is a key issue to arrange hydrogen removal equipment in the containment compartments. In this study, hydrogen flow behavior in local compartments has been investigated in two horizontal compartments. The analysis model is built by 3-dimensional CFD code in Cartesian coordinates based on the connection structure of the Advanced Pressurized Water Reactor (PWR) compartments. It consists of two cylindrical vessels, representing the Steam Generator compartment (SG) and Core Makeup Tank compartment (CMT). With standardk-ε turbulence model, the effects of the connecting pipe size and location on hydrogen concentration distribution are investigated. Results show that increasing the diameter of connection pipe (IP) which is located at 800 mm from 150 mm to 300 mm facilitates hydrogen flow between compartments. Decreasing the length of IP which is located at 800 mm from 1000 mm to 500 mm can also facilitate hydrogen flow between compartments. Lower IP is in favor of hydrogen mixing with air in non-source compartment. Higher IP is helpful for hydrogen flow to the non-source term compartment from source term compartment.


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## Body

## 1. Introduction

After the Fukushima nuclear accident in 2011, hydrogen risk and control issues in severe accidents of Nuclear Power Plants (NPPs) became the key problem of the industry. In the course of a hypothetical severe accident in NPPs, hydrogen is generated in primary loop by the reaction of steam and fuel-cladding and released with steam into the containment and compartments from the break location [1]. Such generated hydrogen is invariably transported into the compartments.Hydrogen distribution can be influenced by the complex channel structures inside the containment and the break location, which results in uniform hydrogen concentration. High local hydrogen concentrations may occur and create favorable conditions for combustion or detonation, which is a great threat to the integrity of the containment [2]. Moreover even local hydrogen burning, which cannot be a threat to containment integrity, may also be hazardous to the survivability of some important equipment or instruments. In TMI accident as a real example, 500 kg of hydrogen was released and 27 psig of peak pressure caused by H2 burning was measured in the containment [3]. In order to reduce the potential risk of hydrogen, the distribution, mixing, and stratification of light gases should be analyzed and understood firstly.As for containment atmosphere modeling, Lumped-Parameter (LP) codes and Computational Fluid Dynamics (CFD) codes are used. In recent years, CFD method has become a choice to analyze the hydrogen risk [4]. Three-dimensional transport equations of fluid mechanics can be numerically solved by finite volume method or finite element method in codes. Up till now, many CFD analytical works for hydrogen management have been conducted to investigate the hydrogen behavior in the containment. Cheng and Cao [5] used CFD mode to study the hydrogen distribution in the containment under different hydrogen production rates. Visser et al. [6] carried out the validation of FLUENT model for hydrogen distribution in the containment using THAI HM2 test. Royl et al. [7] used GASFLOW code to analyze the steam and hydrogen distribution with passive autocatalytic recombiners mitigation in German Konvoi-type NPP. GASFLOW is used to analyze hydrogen distribution for APR1400 containment under hypothetical LOCA [8] and LOFW accident [9]. Previous research shows that CFD method has been adopted to simulate hydrogen distribution in different scale geometric construction and has been verified with experimental data.In this paper, the hydrogen distribution in two compartments interconnected with different pipe is analyzed to investigate the hydrogen migration and distribution characteristics. The analysis model is built by 3-dimensional CFD code in Cartesian coordinates based on the connection structure of the Advanced Pressurized Water Reactor (PWR) compartments. It consists of two cylindrical vessels, representing the Steam Generator compartment (SG) and Core Makeup Tank compartment (CMT).


## 2. Validation of the Analysis Model

The analysis model built in this paper is validated by the same model built with GASFLOW, which has been successfully validated in a large number of benchmark exercises, for example, the ISP-47 [10]. Therefore, the effectiveness of the analysis model is analyzed by comparing the simulation results obtained by both codes.


### 2.1. Geometrical Modeling

Figure1 shows the geometrical model built in Cartesian coordinates and mesh division. The model consists of interconnected compartments with the pipe located at elevation 3200 mm, and the origin of coordinates is located in the bottom center of the left vessel. Each cylindrical vessel has a height of 4 m, a diameter of 2 m, and inner volume of 11.5 m3. To make the shape and volume of local compartment as accurate as possible, the geometrical model is built in 3D Cartesian structured meshes with 224,528 cells in analysis model and with 95,700 cells for the model built with GASFLOW.Figure 1
Geometric model built by both codes.
(a)
Analysis model and mesh
(b)
Compared model with GASFLOW


### 2.2. Turbulence Model

Turbulence is crucial to hydrogen flow distribution. In simulation, appropriate choice of turbulence model has significant effect on hydrogen distribution in local compartments. The standardk-ε model took into account the full buoyancy effects which is treated as a useful model for plum simulation. Wang and Cao [11] carried out the validation of k-ε model for hydrogen distribution in the containment using THAI HM2 test. Hou et al. [12] used k-ε model to study the hydrogen distribution in the containment of Large-Scale Gas Mixing Facility (LSGMF); compared with the experiment data, it is found that the distribution of hydrogen concentration when adopting the standard k-ε turbulence model is closest to the experiment results. Based on the existing research result about turbulence model, k-ε turbulence model is used in this simulation.Thek-ε models belong to the class of two-equation RANS turbulence models. In the k-ε models, turbulence is modeled with the transport equation for the turbulent kinetic energy (k) and its dissipation rate (ε) [6].Reynolds stress is calculated based on Boussinesq hypothesis by obtaining eddy viscosity ink-ε turbulence model. In k-ε model, dynamic turbulent viscosity is shown as follows:(1)μt=ρCμk2ε,where ρ is density, Cμ is constant 0.05, k is turbulence kinetic energy, and ε is turbulent dissipation rate [13].The values ofk and ε come directly from the differential transport equations for the turbulence kinetic energy and turbulence dissipation rate:(2)∂ρk∂t+∂∂xjρUjk=∂∂xjμ+μtσk∂k∂xj+Pk-ρε+Pkb∂ρε∂t+∂∂xjρUjε=∂∂xjμ+μtσε∂ε∂xj+εkCε1Pk-Cε2ρε+Cε1Pεb,where Uj represents velocity, t represents time, Cε1 is constant 1.44, Cε2 is constant 1.92, σk is constant 1.0, σε is constant 1.3, μ is the molecular viscosity, and μt is the turbulence viscosity. Pkb and Pεb represent the influence of the buoyancy forces. Pk is the turbulence production due to viscous forces.


### 2.3. Validation Results

Hydrogen is vertically injected from the central position at the elevation of 800 mm from the vessel bottom. The mass flow rate of hydrogen released from injection pipe is 0.1 g/s. The diameter of injection pipe is 30 mm. At the initial time (t=0s), air in the multiple compartments is 1 atm. Two measure lines, named measure line 1 and line 2, are set to measure the hydrogen concentration in both compartments. In the process of modeling, the coordinate origin is located at the bottom center of the source term compartment, as shown in Figure 1. Line 1 is located at the source term compartment, the coordinates of the starting point are x = 0.5 m, y = 0 m, and z = 0.07 m, and the endpoint coordinates are x = 0.5 m, y = 0 m, and z = 3.93 m. Line 2 is located at central line in non-source term compartment.Figure2 shows hydrogen concentration distribution in source term compartment. The result shows that the hydrogen concentration is in agreement with the two compared models. However, the results are different below the injection area with the hydrogen concentration difference value of no more than 0.01, showing that hydrogen dispersion is strong under the GASFLOW model, while the hydrogen concentrations in the upper space of the two compartments are in good agreement with each other. Figure 3 shows hydrogen concentration distribution in non-source term compartment. Result shows that the hydrogen concentration predicted with analysis model is slightly lower than that of GASFLOW model at the time of 1000 s in the whole non-source term compartment, which means less hydrogen transfers into the non-source term compartment at that time in analysis model, while, at the time of 1800 s, the hydrogen concentration reaches the same value in the upper space. Therefore, the analysis model can be used to simulate hydrogen flow behaviors.Figure 2
Hydrogen concentration distribution in source term compartment.Figure 3
Hydrogen concentration distribution in non-source term compartment.


## 2.1. Geometrical Modeling

Figure1 shows the geometrical model built in Cartesian coordinates and mesh division. The model consists of interconnected compartments with the pipe located at elevation 3200 mm, and the origin of coordinates is located in the bottom center of the left vessel. Each cylindrical vessel has a height of 4 m, a diameter of 2 m, and inner volume of 11.5 m3. To make the shape and volume of local compartment as accurate as possible, the geometrical model is built in 3D Cartesian structured meshes with 224,528 cells in analysis model and with 95,700 cells for the model built with GASFLOW.Figure 1
Geometric model built by both codes.
(a)
Analysis model and mesh
(b)
Compared model with GASFLOW


## 2.2. Turbulence Model

Turbulence is crucial to hydrogen flow distribution. In simulation, appropriate choice of turbulence model has significant effect on hydrogen distribution in local compartments. The standardk-ε model took into account the full buoyancy effects which is treated as a useful model for plum simulation. Wang and Cao [11] carried out the validation of k-ε model for hydrogen distribution in the containment using THAI HM2 test. Hou et al. [12] used k-ε model to study the hydrogen distribution in the containment of Large-Scale Gas Mixing Facility (LSGMF); compared with the experiment data, it is found that the distribution of hydrogen concentration when adopting the standard k-ε turbulence model is closest to the experiment results. Based on the existing research result about turbulence model, k-ε turbulence model is used in this simulation.Thek-ε models belong to the class of two-equation RANS turbulence models. In the k-ε models, turbulence is modeled with the transport equation for the turbulent kinetic energy (k) and its dissipation rate (ε) [6].Reynolds stress is calculated based on Boussinesq hypothesis by obtaining eddy viscosity ink-ε turbulence model. In k-ε model, dynamic turbulent viscosity is shown as follows:(1)μt=ρCμk2ε,where ρ is density, Cμ is constant 0.05, k is turbulence kinetic energy, and ε is turbulent dissipation rate [13].The values ofk and ε come directly from the differential transport equations for the turbulence kinetic energy and turbulence dissipation rate:(2)∂ρk∂t+∂∂xjρUjk=∂∂xjμ+μtσk∂k∂xj+Pk-ρε+Pkb∂ρε∂t+∂∂xjρUjε=∂∂xjμ+μtσε∂ε∂xj+εkCε1Pk-Cε2ρε+Cε1Pεb,where Uj represents velocity, t represents time, Cε1 is constant 1.44, Cε2 is constant 1.92, σk is constant 1.0, σε is constant 1.3, μ is the molecular viscosity, and μt is the turbulence viscosity. Pkb and Pεb represent the influence of the buoyancy forces. Pk is the turbulence production due to viscous forces.


## 2.3. Validation Results

Hydrogen is vertically injected from the central position at the elevation of 800 mm from the vessel bottom. The mass flow rate of hydrogen released from injection pipe is 0.1 g/s. The diameter of injection pipe is 30 mm. At the initial time (t=0s), air in the multiple compartments is 1 atm. Two measure lines, named measure line 1 and line 2, are set to measure the hydrogen concentration in both compartments. In the process of modeling, the coordinate origin is located at the bottom center of the source term compartment, as shown in Figure 1. Line 1 is located at the source term compartment, the coordinates of the starting point are x = 0.5 m, y = 0 m, and z = 0.07 m, and the endpoint coordinates are x = 0.5 m, y = 0 m, and z = 3.93 m. Line 2 is located at central line in non-source term compartment.Figure2 shows hydrogen concentration distribution in source term compartment. The result shows that the hydrogen concentration is in agreement with the two compared models. However, the results are different below the injection area with the hydrogen concentration difference value of no more than 0.01, showing that hydrogen dispersion is strong under the GASFLOW model, while the hydrogen concentrations in the upper space of the two compartments are in good agreement with each other. Figure 3 shows hydrogen concentration distribution in non-source term compartment. Result shows that the hydrogen concentration predicted with analysis model is slightly lower than that of GASFLOW model at the time of 1000 s in the whole non-source term compartment, which means less hydrogen transfers into the non-source term compartment at that time in analysis model, while, at the time of 1800 s, the hydrogen concentration reaches the same value in the upper space. Therefore, the analysis model can be used to simulate hydrogen flow behaviors.Figure 2
Hydrogen concentration distribution in source term compartment.Figure 3
Hydrogen concentration distribution in non-source term compartment.


## 3. Hydrogen Flow Behavior in Two Compartments

### 3.1. Cases Selection

Considering the effect factors on hydrogen flow behavior, the analysis cases are selected with different interconnection pipe (IP) diameters, lengths, and locations, shown in Figure4. In case 1, the pipe diameter is 150 mm and the length is 1000 mm. In case 2, the pipe diameter is 150 mm and the length is 500 mm. In case 3, the pipe diameter is 300 mm and the length is 1000 mm. In case 4, the pipe diameter is 150 mm and the length is 1000 mm. In cases 1, 2, and 3, the IP is located at 800 mm. In case 4, the IP is located at 3200 mm. In all cases, hydrogen is horizontally injected from the side of the source term compartment bottom at the elevation of 800 mm. For each case, two measure lines are named, in which line 1 is located at central line in source term compartment and line 2 is located at central line in non-source term compartment.Figure 4
Geometric model of two compartments.


### 3.2. Sensitivity Analyses

Mesh sensitivity study and influence of the time step should be investigated before simulation. The sensitivity analysis is given under case1, which is similar to the other cases.Three kinds of structure meshes are in the range from a few tens of thousands of cells to a few hundreds of thousands to evaluate the grid independence of the solution. The fluid domain is discretized in about 85,735 cells, 219,692 cells, and 415,335 cells, respectively, to simulate the hydrogen concentration vertical distribution in line 1 with standardk-ε model and the results are summarized in Figure 5. Comparing the results of fine mesh and medium mesh, hydrogen concentrations are similar to each other. The little difference of hydrogen concentration is in the upper space of source term compartment, while the hydrogen concentration predicted with coarse mesh is lower than that of the other mesh. Considering the computational time and accuracy, the medium mesh can be selected to simulate the hydrogen transport in the next study.Figure 5
Hydrogen distribution for mesh sensitivity on line 1 in source term compartment of case1.Different time steps of 0.01 s, 0.03 s, 0.05 s, and 0.10 s are used to simulate the hydrogen concentration by standardk-ε model. Hydrogen concentration distribution on line 1 at 500 s is shown in Figure 6, which shows that the hydrogen concentrations with different time steps are in agreement. With the time step size increasing from 0.01 s to 0.05 s, the calculation time is decreased. With the time step size increasing from 0.05 s to 0.10 s, due to the increase of iterations number, the calculation time is increased. When the time step size exceeds about 0.10 s, the computational stability is affected and it is hard to converge. Therefore, the time step 0.05 s is used in the next study.Figure 6
Hydrogen concentration for different time steps on line 1 in source term compartment of case1.


### 3.3. Changed IP Size

Hydrogen concentration in source term compartment is higher than that in non-source compartment for cases1, 2, and 3, as shown in Figure 7. Hydrogen flow behavior in source term compartment is similar due to the same injection mass flow rate and injection pipe diameter. Hydrogen flows upward along the wall from the injection and transports into the upper space. When the upstream gas is resisted by the dome, hydrogen flow direction will be changed, starting to flow around along the wall of the dome and then fill the whole upper space gradually. Hydrogen concentration stratification is established due to the effect of buoyancy. With continuous hydrogen injection, hydrogen distribution in source term compartment is homogeneous gradually due to the effect of diffusion. Hydrogen starts to diffuse into noncompartment when hydrogen flows to the entrance of the IP at the source term compartment with the similar flow phenomenon due to the lower position of the IP [14].Figure 7
Hydrogen concentration at times 400 s and 1000 s in different cases.Figure8 shows the velocity vector in the IP for case 1. A counterflow is observed in the IP. The gas mixture leaves source term compartment through the top of the IP to non-source term compartment where it moves upwards under the effect of buoyancy due to the effect of gas density difference in the two compartments. Air in non-source term compartment is transported with a reversed flow through the IP [14].Figure 8
Velocity vector in IP in case1.Figure9 shows the quantitative comparison of the dispersion process, showing the change in hydrogen concentration at different heights in two compartments. It can be observed that the hydrogen concentration at the compartments is increased over the time with the hydrogen injection. The simulation results with cases 1, 2, and 3 have the same tendency, with different hydrogen concentration at different heights in two compartments. Hydrogen concentration is relatively low in the area below the location of the IP. Comparing the results of case 1 and case 2, the values of hydrogen concentration in the upper space of two compartments are similar except for the area below the location of the IP. Due to the decrease of pipe length, hydrogen migration velocity is increased near the IP position, as a result of lower hydrogen concentration in case 2. Compared with case 1, hydrogen concentration in non-source term compartment is higher after the hydrogen flows into non-source term compartment in case 3.Figure 9
Hydrogen concentration at different positions in two compartments.This shows that the diameter increase from 150 mm to 300 mm of the IP located at 800 mm facilitates hydrogen flow between two compartments resulting in an increase of about 13% of hydrogen molar quantity in the non-source term compartment at the end of the simulation. Decreasing the length from 1000 mm to 500 mm of the IP located at 800 mm can also facilitate hydrogen flow between two compartments, resulting in an increase of about 3.5% of hydrogen molar quantity in the non-source term compartment at the end of the simulation. Compared with the change of pipe diameter, the effect of pipe length change to the distribution of hydrogen in two compartments is not significant.


### 3.4. Changed IP Location

Figure10 shows the hydrogen concentration distribution at 3000 s for case 4. Hydrogen is accumulated in the upper space of non-source term compartment. With the effect of the pipe location at 3200 mm, hydrogen source transports into non-source term compartment earlier compared with case 1.Figure 10
Hydrogen concentration in case4.Figure11 shows the quantitative comparison of the dispersion process in case 1 and case 4, showing the change in hydrogen concentration at different heights in two compartments. It can be observed that hydrogen is mainly distributed in the upper space of non-source term compartment in case 4 due to higher IP location, while hydrogen flow behavior is weak in the area below the IP in non-source term compartment because of the weak diffusion process. At the time of 3000 s, the highest hydrogen concentration in the upper space is about 7%. On the contrary, for case 1, hydrogen concentration distribution in non-source term compartment is uniform. Besides, the hydrogen concentration is lower in source term compartment in case 4 than that in case 1, because of an increase of about 7.7% of hydrogen molar quantity flowing into the non-source term compartment when the IP location is changed from 800 mm to 3200 mm at the end of the simulation.Figure 11
Hydrogen concentration at different positions in the compartment.Higher IP location facilitates hydrogen to diffuse to the non-source term compartment from the source term compartment, so that hydrogen in the source term compartment is more easily discharged. But hydrogen may be accumulated in the upper space in the non-source term compartment if there is not enough upper space in the non-source term compartment. Lower IP location is in favor of hydrogen mixing with air in non-source term compartment due to the effect of the buoyancy.


## 3.1. Cases Selection

Considering the effect factors on hydrogen flow behavior, the analysis cases are selected with different interconnection pipe (IP) diameters, lengths, and locations, shown in Figure4. In case 1, the pipe diameter is 150 mm and the length is 1000 mm. In case 2, the pipe diameter is 150 mm and the length is 500 mm. In case 3, the pipe diameter is 300 mm and the length is 1000 mm. In case 4, the pipe diameter is 150 mm and the length is 1000 mm. In cases 1, 2, and 3, the IP is located at 800 mm. In case 4, the IP is located at 3200 mm. In all cases, hydrogen is horizontally injected from the side of the source term compartment bottom at the elevation of 800 mm. For each case, two measure lines are named, in which line 1 is located at central line in source term compartment and line 2 is located at central line in non-source term compartment.Figure 4
Geometric model of two compartments.


## 3.2. Sensitivity Analyses

Mesh sensitivity study and influence of the time step should be investigated before simulation. The sensitivity analysis is given under case1, which is similar to the other cases.Three kinds of structure meshes are in the range from a few tens of thousands of cells to a few hundreds of thousands to evaluate the grid independence of the solution. The fluid domain is discretized in about 85,735 cells, 219,692 cells, and 415,335 cells, respectively, to simulate the hydrogen concentration vertical distribution in line 1 with standardk-ε model and the results are summarized in Figure 5. Comparing the results of fine mesh and medium mesh, hydrogen concentrations are similar to each other. The little difference of hydrogen concentration is in the upper space of source term compartment, while the hydrogen concentration predicted with coarse mesh is lower than that of the other mesh. Considering the computational time and accuracy, the medium mesh can be selected to simulate the hydrogen transport in the next study.Figure 5
Hydrogen distribution for mesh sensitivity on line 1 in source term compartment of case1.Different time steps of 0.01 s, 0.03 s, 0.05 s, and 0.10 s are used to simulate the hydrogen concentration by standardk-ε model. Hydrogen concentration distribution on line 1 at 500 s is shown in Figure 6, which shows that the hydrogen concentrations with different time steps are in agreement. With the time step size increasing from 0.01 s to 0.05 s, the calculation time is decreased. With the time step size increasing from 0.05 s to 0.10 s, due to the increase of iterations number, the calculation time is increased. When the time step size exceeds about 0.10 s, the computational stability is affected and it is hard to converge. Therefore, the time step 0.05 s is used in the next study.Figure 6
Hydrogen concentration for different time steps on line 1 in source term compartment of case1.


## 3.3. Changed IP Size

Hydrogen concentration in source term compartment is higher than that in non-source compartment for cases1, 2, and 3, as shown in Figure 7. Hydrogen flow behavior in source term compartment is similar due to the same injection mass flow rate and injection pipe diameter. Hydrogen flows upward along the wall from the injection and transports into the upper space. When the upstream gas is resisted by the dome, hydrogen flow direction will be changed, starting to flow around along the wall of the dome and then fill the whole upper space gradually. Hydrogen concentration stratification is established due to the effect of buoyancy. With continuous hydrogen injection, hydrogen distribution in source term compartment is homogeneous gradually due to the effect of diffusion. Hydrogen starts to diffuse into noncompartment when hydrogen flows to the entrance of the IP at the source term compartment with the similar flow phenomenon due to the lower position of the IP [14].Figure 7
Hydrogen concentration at times 400 s and 1000 s in different cases.Figure8 shows the velocity vector in the IP for case 1. A counterflow is observed in the IP. The gas mixture leaves source term compartment through the top of the IP to non-source term compartment where it moves upwards under the effect of buoyancy due to the effect of gas density difference in the two compartments. Air in non-source term compartment is transported with a reversed flow through the IP [14].Figure 8
Velocity vector in IP in case1.Figure9 shows the quantitative comparison of the dispersion process, showing the change in hydrogen concentration at different heights in two compartments. It can be observed that the hydrogen concentration at the compartments is increased over the time with the hydrogen injection. The simulation results with cases 1, 2, and 3 have the same tendency, with different hydrogen concentration at different heights in two compartments. Hydrogen concentration is relatively low in the area below the location of the IP. Comparing the results of case 1 and case 2, the values of hydrogen concentration in the upper space of two compartments are similar except for the area below the location of the IP. Due to the decrease of pipe length, hydrogen migration velocity is increased near the IP position, as a result of lower hydrogen concentration in case 2. Compared with case 1, hydrogen concentration in non-source term compartment is higher after the hydrogen flows into non-source term compartment in case 3.Figure 9
Hydrogen concentration at different positions in two compartments.This shows that the diameter increase from 150 mm to 300 mm of the IP located at 800 mm facilitates hydrogen flow between two compartments resulting in an increase of about 13% of hydrogen molar quantity in the non-source term compartment at the end of the simulation. Decreasing the length from 1000 mm to 500 mm of the IP located at 800 mm can also facilitate hydrogen flow between two compartments, resulting in an increase of about 3.5% of hydrogen molar quantity in the non-source term compartment at the end of the simulation. Compared with the change of pipe diameter, the effect of pipe length change to the distribution of hydrogen in two compartments is not significant.


## 3.4. Changed IP Location

Figure10 shows the hydrogen concentration distribution at 3000 s for case 4. Hydrogen is accumulated in the upper space of non-source term compartment. With the effect of the pipe location at 3200 mm, hydrogen source transports into non-source term compartment earlier compared with case 1.Figure 10
Hydrogen concentration in case4.Figure11 shows the quantitative comparison of the dispersion process in case 1 and case 4, showing the change in hydrogen concentration at different heights in two compartments. It can be observed that hydrogen is mainly distributed in the upper space of non-source term compartment in case 4 due to higher IP location, while hydrogen flow behavior is weak in the area below the IP in non-source term compartment because of the weak diffusion process. At the time of 3000 s, the highest hydrogen concentration in the upper space is about 7%. On the contrary, for case 1, hydrogen concentration distribution in non-source term compartment is uniform. Besides, the hydrogen concentration is lower in source term compartment in case 4 than that in case 1, because of an increase of about 7.7% of hydrogen molar quantity flowing into the non-source term compartment when the IP location is changed from 800 mm to 3200 mm at the end of the simulation.Figure 11
Hydrogen concentration at different positions in the compartment.Higher IP location facilitates hydrogen to diffuse to the non-source term compartment from the source term compartment, so that hydrogen in the source term compartment is more easily discharged. But hydrogen may be accumulated in the upper space in the non-source term compartment if there is not enough upper space in the non-source term compartment. Lower IP location is in favor of hydrogen mixing with air in non-source term compartment due to the effect of the buoyancy.


## 4. Conclusion

This paper presents the simulation results in two compartments considering different interconnection pipe diameter, length, and location. With standardk-ε turbulence model, the effects of the connecting pipe size and location on hydrogen concentration distribution are investigated.From the comparative study, the results can be obtained:(1)
The diameter increase from 150 mm to 300 mm of the IP located at 800 mm facilitates hydrogen flow between two compartments resulting in an increase of about 13% of hydrogen molar quantity in the non-source term compartment at the end of the simulation.(2)
Decreasing the length from 1000 mm to 500 mm of the IP located at 800 mm can also facilitate hydrogen flow between two compartments, resulting in an increase of about 3.5% of hydrogen molar quantity in the non-source term compartment at the end of the simulation.(3)
Higher IP location facilitates hydrogen to diffuse to the non-source term compartment from the source term compartment, so that hydrogen in the source term compartment is more easily discharged. Lower IP location is in favor of hydrogen mixing with air in non-source term compartment due to the effect of the buoyancy.



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*Source: 4709503-2017-12-14.xml*