# Non-Boussinesq Integral Model for Horizontal Turbulent Buoyant Round Jets

Authors: J. Xiao; J.R. Travis; W. Breitung
Journal: Science and Technology of Nuclear Installations
 (2009)

---

## Abstract

Horizontal buoyant jet is a fundamental flow regime for hydrogen safety analysis in power industry. The purpose of this study is to develop a fast non-Boussinesq engineering model the horizontal buoyant round jets. Verification of this integral model is established with available experimental data and comparisons over a large range of density variations with the CFD codes GASFLOW. The model has proved to be an efficient engineering tool for predicting horizontal strongly buoyant round jets.


---

## Body

## 1. Introduction

Turbulent buoyant jet is a fundamental flow regime in hydrogen safety analysis since it affects hydrogen distribution and mitigation measures when accidents occur [1]. Recent works on the numerical simulation of helium and steam jet release experiments in the German THAI facility have shown that the Helium distribution (simulating hydrogen) may depend sensitively on the jet modeling [2]. A systematic investigation was therefore started on numerical modeling of horizontal turbulent buoyant jets [3].Few experimental data and calculations on horizontal turbulent buoyant jet with large density variation can be found in the open literatures. Most of the experiments were carried out for the small density variation when the Boussinesq approximation is valid. Pantokratoras [4] modified the integral Fan-Brooks model [5] to calculate the horizontal penetration of inclined thermal buoyant water jets, and the modified model predictions are in a good agreement with the trajectory measurements. Jirka [6, 7] formulated integral model, namely, CorJet for turbulent buoyant jets (round and planar) in unbounded stratified flows, that is, the pure jet, the pure plume, the pure wake. Guerra [8] simulated horizontal buoyant jets (64% helium into air with various inlet velocity) using CFD code FLOVENT, but unfortunately his work is only from calculation results and he did not provide any experiment data for this case. Swain [9, 10] studied horizontal round hydrogen jets and determined the maximum horizontal distance at which a horizontal hydrogen leak can be ignited. Houf and Schefer [11] developed a model to study the small leaks of hydrogen in the Froude number range where both buoyant and inertial forces are important.In this study non-Boussinesq integral model for horizontal buoyant round jet was derived with the modified entrainment hypothesis. The system of conservation equations of the integral model was solved by a forth order Runge-Kutta method to obtain numerical solutions in the transition region from jet-like to plume-like.The problem description and modeling efforts are presented in Sections2 and 3. Sections 4 and 5 documents the validation and modeling uncertainties of the integral model. The concluding remarks are given in Section 6.


## 2. Problem Description

The horizontal buoyant jet formed from a round orifice is discharged into the unbounded stagnant uniform ambient, as shown in Figure1. The density of the ambient is ρ
a. The axis of the jet is taken as a parametrical coordinate s, and the coordinate n is taken to be normal to the axis s. θ is the angle of s-axis with the horizontal direction. The initial density, velocity, and diameter in the orifice are ρ
0, U
0, r
0. The density and velocity along the s-axis are ρ
s , u
s.Figure 1
Definition diagram for horizontal buoyant jet discharges from round orifice into the unstratified ambient.


## 3. Formulation of Horizontal Buoyant Jets

### 3.1. Basic Governing Equations

In this study, the pressure across the flow is assumed to be uniform and equal to the ambient pressure outside of the boundary. The basic governing equations (neglecting the dissipation and turbulent transport in comparison with the mean flow) consist of mass, momentum, energy, and concentration conservation equations,(1)
∇
·
(
ρ
u
⇀
)
=
0
,
∂
(
ρ
u
u
i
)
∂
x
=
0
,
∂
(
ρ
u
u
j
)
∂
y
=
Δ
ρ
g
,
∇
·
(
ρ
u
⇀
h
)
=
0
,
∇
·
(
ρ
u
⇀
ϕ
m
)
=
0
,
where h is the specific enthalpy and Φ
m is the mass concentration.The divergence theorem is applied, and the basic governing equations become(2)
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
)
r
d
r
d
φ
=
2
π
β
j
-
p
b
ρ
a
u
s
=
E
m
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
u
cos
θ
)
r
d
r
d
φ
=
0
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
u
sin
θ
)
r
d
r
d
φ
=
∫
0
2
π
∫
0
∞
(
ρ
a
-
ρ
)
g
r
d
r
d
φ
,
d
d
s
∫
0
2
π
∫
0
∞
[
ρ
u
(
C
P
T
-
C
P
a
T
a
)
]
r
d
r
d
φ
=
0
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
ϕ
m
)
r
d
r
d
φ
=
0
,
d
x
d
s
=
cos
θ
,
d
y
d
s
=
sin
θ
,
where E
m is the local mass entrainment rate and  α
j
-
p is the local mass entrainment coefficient.A system of first-order ordinary differential equations was obtained after the integration, where the seven unknowns are the density, velocity, temperature along the trajectory,ρ
s, u
s, T
s, the  characteristic jet width b, the local angle of the jet with respect to the horizontal axis θ, and the local coordinates of the jet trajectory x, y. With initial conditions, the system of ordinary differential equations was solved by aforth order Runga-Kutta method to obtain the horizontal buoyant jet trajectory, the velocity, the density, the temperature and the tracer concentration.


### 3.2. Basic Assumptions

The general assumptions made in this investigation are as follows.(1)
The flow is fully turbulent which means there is no Reynold number dependence.
(2)
The profiles of velocity, density, and temperature are similar at all cross-sections normal to the jet trajectory.
(3)
Longitudinal turbulent transport is small compared with latitudinal convective transport.


### 3.3. Profiles of Velocity, Density, and Temperature

Velocity profile is assumed to be Gaussian distribution:(3)
u
=
u
s
e
-
r
2
/
b
2
,
where b is a characteristic jet width.Density deficiency profile with respect to the ambient density in a uniform ambient is assumed to be Gaussian:(4)
ρ
a
-
ρ
ρ
a
=
(
ρ
a
-
ρ
s
ρ
a
)
e
-
r
2
/
(
λ
b
)
2
,
where λ
b is the characteristic length of the profiles; λ
2 is the turbulent Schmidt number, which is assumed to be constant and is usually found to be somewhat larger than 1 for small density ratio cases. In this study λ is 1.2. It should be noted that λ
2 is not necessarily constant as the buoyant jet evolves from jet-like to plume-like.Due to the large density or temperature variation between the jet and the ambient considered in the non-Boussinesq model, the density in the trajectoryρ
s is the function of temperature T
s and mass faction Φ
m
s. Therefore, the energy equation should be solved. It is well known that the cross-sectional profiles of normalized mean axial velocity and concentration are Gaussian-like in the zone of established flow (ZEF). In this study, the profile of temperature is also assumed to be Gaussian distribution:(5)
T
a
-
T
T
a
=
(
T
a
-
T
s
T
a
)
e
-
r
2
/
(
λ
b
)
2
,


### 3.4. Entrainment Hypothesis

To close the equations system, the mass entrainment rate should be specified. The entrainment relation for the horizontal round jet is given by:(6)
E
m
=
2
π
b
ρ
a
u
e
=
2
π
α
j
-
p
b
ρ
a
u
s
,
where E
m is the local mass entrainment rate, u
e is the local entrainment velocity, u
s is the characteristic velocity along s-axis, ρ
s is the local density along s-axis, ρ
a is the density of ambient, and α
j
-
p is the local mass entrainment coefficient .For low-momentum buoyant jets, experimental data indicates that the local rate of entrainment increases as the jets leaves the momentum-dominated region and enters a region where the effects of buoyancy become more pronounced. In Jirka’s paper [6], the local rate of entrainment is specified as(7)
E
m
=
2
π
b
U
s
(
α
j
+
α
p
F
r
p
2
F
r
s
2
sin
θ
)
.List summarized much of the work on the entrainment hypothesis and proposed values ofα
j
=
0.052
±
0.003 for the pure jets and α
p
=
0.0833
±
0.0042 for the pure plumes [12]. To model the entrainment in the region of transition from jet-like to plume-like, an empirical function for the vertical plane jet proposed,(8)
α
j
-
p
=
α
j
+
(
α
p
-
α
j
)
(
R
i
j
-
p
R
i
p
)
2
,
R
i
j
-
p is the local Richardson number in the trajectory which is defined as(9)
R
i
j
-
p
=
m
β
1
/
2
m
o
5
/
4
,
where m is the mass flux, mo is the momentum flux, β is the local buoyancy flux. The Richardson number in the pure plume region R
i
p is a constant.In the non-Boussinesq model, the effect of large density variation should be considered in the entrainment coefficient. In this study the local entrainment coefficient for the horizontal buoyant jet is assumed as:(10)
α
j
-
p
=
[
α
j
+
(
α
p
-
α
j
)
(
R
i
j
-
p
R
i
p
)
2
sin
θ
]
*
(
ρ
s
ρ
a
)
1
/
2
for the round jet, the exponent is 1
/
2, α
j
=
0.055 for the pure jets and α
p
=
0.085 for the pure plume. We should note that the value of α
j here is obtained from the flow with low velocity. For the flow with high velocity, α
j may be varied. It will be discussed in the section of modeling uncertainties.


## 3.1. Basic Governing Equations

In this study, the pressure across the flow is assumed to be uniform and equal to the ambient pressure outside of the boundary. The basic governing equations (neglecting the dissipation and turbulent transport in comparison with the mean flow) consist of mass, momentum, energy, and concentration conservation equations,(1)
∇
·
(
ρ
u
⇀
)
=
0
,
∂
(
ρ
u
u
i
)
∂
x
=
0
,
∂
(
ρ
u
u
j
)
∂
y
=
Δ
ρ
g
,
∇
·
(
ρ
u
⇀
h
)
=
0
,
∇
·
(
ρ
u
⇀
ϕ
m
)
=
0
,
where h is the specific enthalpy and Φ
m is the mass concentration.The divergence theorem is applied, and the basic governing equations become(2)
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
)
r
d
r
d
φ
=
2
π
β
j
-
p
b
ρ
a
u
s
=
E
m
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
u
cos
θ
)
r
d
r
d
φ
=
0
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
u
sin
θ
)
r
d
r
d
φ
=
∫
0
2
π
∫
0
∞
(
ρ
a
-
ρ
)
g
r
d
r
d
φ
,
d
d
s
∫
0
2
π
∫
0
∞
[
ρ
u
(
C
P
T
-
C
P
a
T
a
)
]
r
d
r
d
φ
=
0
,
d
d
s
∫
0
2
π
∫
0
∞
(
ρ
u
ϕ
m
)
r
d
r
d
φ
=
0
,
d
x
d
s
=
cos
θ
,
d
y
d
s
=
sin
θ
,
where E
m is the local mass entrainment rate and  α
j
-
p is the local mass entrainment coefficient.A system of first-order ordinary differential equations was obtained after the integration, where the seven unknowns are the density, velocity, temperature along the trajectory,ρ
s, u
s, T
s, the  characteristic jet width b, the local angle of the jet with respect to the horizontal axis θ, and the local coordinates of the jet trajectory x, y. With initial conditions, the system of ordinary differential equations was solved by aforth order Runga-Kutta method to obtain the horizontal buoyant jet trajectory, the velocity, the density, the temperature and the tracer concentration.


## 3.2. Basic Assumptions

The general assumptions made in this investigation are as follows.(1)
The flow is fully turbulent which means there is no Reynold number dependence.
(2)
The profiles of velocity, density, and temperature are similar at all cross-sections normal to the jet trajectory.
(3)
Longitudinal turbulent transport is small compared with latitudinal convective transport.


## 3.3. Profiles of Velocity, Density, and Temperature

Velocity profile is assumed to be Gaussian distribution:(3)
u
=
u
s
e
-
r
2
/
b
2
,
where b is a characteristic jet width.Density deficiency profile with respect to the ambient density in a uniform ambient is assumed to be Gaussian:(4)
ρ
a
-
ρ
ρ
a
=
(
ρ
a
-
ρ
s
ρ
a
)
e
-
r
2
/
(
λ
b
)
2
,
where λ
b is the characteristic length of the profiles; λ
2 is the turbulent Schmidt number, which is assumed to be constant and is usually found to be somewhat larger than 1 for small density ratio cases. In this study λ is 1.2. It should be noted that λ
2 is not necessarily constant as the buoyant jet evolves from jet-like to plume-like.Due to the large density or temperature variation between the jet and the ambient considered in the non-Boussinesq model, the density in the trajectoryρ
s is the function of temperature T
s and mass faction Φ
m
s. Therefore, the energy equation should be solved. It is well known that the cross-sectional profiles of normalized mean axial velocity and concentration are Gaussian-like in the zone of established flow (ZEF). In this study, the profile of temperature is also assumed to be Gaussian distribution:(5)
T
a
-
T
T
a
=
(
T
a
-
T
s
T
a
)
e
-
r
2
/
(
λ
b
)
2
,


## 3.4. Entrainment Hypothesis

To close the equations system, the mass entrainment rate should be specified. The entrainment relation for the horizontal round jet is given by:(6)
E
m
=
2
π
b
ρ
a
u
e
=
2
π
α
j
-
p
b
ρ
a
u
s
,
where E
m is the local mass entrainment rate, u
e is the local entrainment velocity, u
s is the characteristic velocity along s-axis, ρ
s is the local density along s-axis, ρ
a is the density of ambient, and α
j
-
p is the local mass entrainment coefficient .For low-momentum buoyant jets, experimental data indicates that the local rate of entrainment increases as the jets leaves the momentum-dominated region and enters a region where the effects of buoyancy become more pronounced. In Jirka’s paper [6], the local rate of entrainment is specified as(7)
E
m
=
2
π
b
U
s
(
α
j
+
α
p
F
r
p
2
F
r
s
2
sin
θ
)
.List summarized much of the work on the entrainment hypothesis and proposed values ofα
j
=
0.052
±
0.003 for the pure jets and α
p
=
0.0833
±
0.0042 for the pure plumes [12]. To model the entrainment in the region of transition from jet-like to plume-like, an empirical function for the vertical plane jet proposed,(8)
α
j
-
p
=
α
j
+
(
α
p
-
α
j
)
(
R
i
j
-
p
R
i
p
)
2
,
R
i
j
-
p is the local Richardson number in the trajectory which is defined as(9)
R
i
j
-
p
=
m
β
1
/
2
m
o
5
/
4
,
where m is the mass flux, mo is the momentum flux, β is the local buoyancy flux. The Richardson number in the pure plume region R
i
p is a constant.In the non-Boussinesq model, the effect of large density variation should be considered in the entrainment coefficient. In this study the local entrainment coefficient for the horizontal buoyant jet is assumed as:(10)
α
j
-
p
=
[
α
j
+
(
α
p
-
α
j
)
(
R
i
j
-
p
R
i
p
)
2
sin
θ
]
*
(
ρ
s
ρ
a
)
1
/
2
for the round jet, the exponent is 1
/
2, α
j
=
0.055 for the pure jets and α
p
=
0.085 for the pure plume. We should note that the value of α
j here is obtained from the flow with low velocity. For the flow with high velocity, α
j may be varied. It will be discussed in the section of modeling uncertainties.


## 4. Validations

### 4.1. Pure Jet

For the pure jet(
θ
=
0
°
,
ρ
a
=
ρ
0
), there is no buoyancy acting on the flow and the jet is only dominated by the momentum. The conservation equations of the pure jet can be expressed as:(11)
d
d
s
(
π
ρ
a
u
s
b
s
2
)
=
2
π
α
jet
ρ
a
u
s
b
s
,
d
d
s
(
π
2
ρ
a
u
s
2
b
s
2
)
=
0
,
d
d
s
(
π
λ
2
1
+
λ
2
c
s
u
s
b
s
2
)
=
0
.
The ratio of u
s and the initial velocity U
0 is,(12)
u
s
U
0
=
2
4
α
j
(
s
D
0
)
-
1
.
The centerline dilution is,(13)
1
+
λ
2
λ
2
S
c
=
(
8
π
α
j
)
s
D
0
.
The centerline velocity decay and concentration dilution are shown in Figures 2 and 3. When α
jet and λ are 0.055 and 1.2, the results of the non-Boussiensq integral model developed in this study have good agreement with the experimental data and the analytical solutions in (12) and (13).Figure 2
Centerline velocity decay for pure jets.Figure 3
Concentration decay along the centerline for pure jets.


### 4.2. Bouyant Jet with Small Density Variation

The horizontal buoyant jets with small density variations (<5–10%) are predicted with the non-Boussinesq integral model. The nitrogen (300 K, 1 bar) is injected horizontally into the ambient (300 K, 1 bar) with various initial Froude numbers. Figure 4 shows the normalized vertical trajectory Y
/
L
M as a function of X
/
L
M for a variety of experimental conditions and the comparisons of the non-Boussinesq integral model and the Boussinesq-based CorJet model.Figure 4
Normalized trajectories of horizontal buoyant jet.The length scaleL
M for the transition of horizontal buoyant round jet to plume is defined as(14)
L
M
=
m
o
0
3
/
4
j
0
1
/
2
,
where(15)
m
o
0
=
U
0
2
A
0
,
j
0
=
U
0
(
(
ρ
a
-
ρ
0
)
g
ρ
0
)
A
0
.The  normalized centerline dilutionSc
/
Fr
0 as a function of Y
/
L
M is depicted in Figure 5. The Froude number is:(16)
F
r
0
=
U
0
(
(
ρ
a
-
ρ
0
)
g
/
ρ
0
)
R
0
.Figure 5
Normalized centerline dilutions of horizontal buoyant jet.The predictions of non-Boussinsq model agree well with the experimental data. When the initial Froude numberFr
0 is high enough the non-Boussinesq model’s results will collapse to the CorJet model. It indicates that in high Froude number flow the influence of small density variation can be neglected. However in the flows with low Froude numbers it seems that the effects of the buoyancy should be considered. The normalized trajectory will not collapse when the Froude number is small which means the Boussinesq approximation is invalid when the buoyancy effect is comparative with the momentum effect.The non-Boussinesq integral model provides a satisfactory transition behavior for the horizontal buoyant jets with small density variations from the jet-like to plume-like region. Figures6, 7, and 8 depict the predictions of non-Boussineq integral model: the decays of velocities, Froude numbers, and the entrainment coefficients along the centerline of the horizontal buoyant jets.Figure 6
Velocity decay of horizontal buoyant jet.Figure 7
Froude number decay of horizontal buoyant jet.Figure 8
Entrainment coefficients of horizontal buoyant jet.


### 4.3. Buoyant Jet with Large Density Variation

The horizontal buoyant jets with large density variations, for instance hydrogen or helium injecting into air, have not received sufficient research before, and almost no experimental data could be found in the open literature. CFD code GASFLOW [13, 14] was used to validate the non-Boussinesq integral model. Helium at 300 K, 1 bar is injected into the air (300 K, 1 bar) with various efflux velocities. The diameter of the orifice is 0.0845 m.Figure9 shows the trajectories of the horizontal buoyant jets. The non-Boussinesq integral model also provides good transition behavior for the horizontal buoyant jets with large density variations. The decays of the velocity and concentration along the trajectory are shown in Figures 10 and 11. Although small discrepancies exist between the results of the integral model and CFD code GASFLOW, the non-Boussinesq integral model is capable of predicting the horizontal buoyant jets with large density variations. Experimental data are expected for the further validation of the model.Figure 9
Trajectories of horizontal buoyant jet with large density variations.Figure 10
Velocity decay of horizontal buoyant jet with large density variations.Figure 11
Concentration decay of horizontal buoyant jet with large density variations.


## 4.1. Pure Jet

For the pure jet(
θ
=
0
°
,
ρ
a
=
ρ
0
), there is no buoyancy acting on the flow and the jet is only dominated by the momentum. The conservation equations of the pure jet can be expressed as:(11)
d
d
s
(
π
ρ
a
u
s
b
s
2
)
=
2
π
α
jet
ρ
a
u
s
b
s
,
d
d
s
(
π
2
ρ
a
u
s
2
b
s
2
)
=
0
,
d
d
s
(
π
λ
2
1
+
λ
2
c
s
u
s
b
s
2
)
=
0
.
The ratio of u
s and the initial velocity U
0 is,(12)
u
s
U
0
=
2
4
α
j
(
s
D
0
)
-
1
.
The centerline dilution is,(13)
1
+
λ
2
λ
2
S
c
=
(
8
π
α
j
)
s
D
0
.
The centerline velocity decay and concentration dilution are shown in Figures 2 and 3. When α
jet and λ are 0.055 and 1.2, the results of the non-Boussiensq integral model developed in this study have good agreement with the experimental data and the analytical solutions in (12) and (13).Figure 2
Centerline velocity decay for pure jets.Figure 3
Concentration decay along the centerline for pure jets.


## 4.2. Bouyant Jet with Small Density Variation

The horizontal buoyant jets with small density variations (<5–10%) are predicted with the non-Boussinesq integral model. The nitrogen (300 K, 1 bar) is injected horizontally into the ambient (300 K, 1 bar) with various initial Froude numbers. Figure 4 shows the normalized vertical trajectory Y
/
L
M as a function of X
/
L
M for a variety of experimental conditions and the comparisons of the non-Boussinesq integral model and the Boussinesq-based CorJet model.Figure 4
Normalized trajectories of horizontal buoyant jet.The length scaleL
M for the transition of horizontal buoyant round jet to plume is defined as(14)
L
M
=
m
o
0
3
/
4
j
0
1
/
2
,
where(15)
m
o
0
=
U
0
2
A
0
,
j
0
=
U
0
(
(
ρ
a
-
ρ
0
)
g
ρ
0
)
A
0
.The  normalized centerline dilutionSc
/
Fr
0 as a function of Y
/
L
M is depicted in Figure 5. The Froude number is:(16)
F
r
0
=
U
0
(
(
ρ
a
-
ρ
0
)
g
/
ρ
0
)
R
0
.Figure 5
Normalized centerline dilutions of horizontal buoyant jet.The predictions of non-Boussinsq model agree well with the experimental data. When the initial Froude numberFr
0 is high enough the non-Boussinesq model’s results will collapse to the CorJet model. It indicates that in high Froude number flow the influence of small density variation can be neglected. However in the flows with low Froude numbers it seems that the effects of the buoyancy should be considered. The normalized trajectory will not collapse when the Froude number is small which means the Boussinesq approximation is invalid when the buoyancy effect is comparative with the momentum effect.The non-Boussinesq integral model provides a satisfactory transition behavior for the horizontal buoyant jets with small density variations from the jet-like to plume-like region. Figures6, 7, and 8 depict the predictions of non-Boussineq integral model: the decays of velocities, Froude numbers, and the entrainment coefficients along the centerline of the horizontal buoyant jets.Figure 6
Velocity decay of horizontal buoyant jet.Figure 7
Froude number decay of horizontal buoyant jet.Figure 8
Entrainment coefficients of horizontal buoyant jet.


## 4.3. Buoyant Jet with Large Density Variation

The horizontal buoyant jets with large density variations, for instance hydrogen or helium injecting into air, have not received sufficient research before, and almost no experimental data could be found in the open literature. CFD code GASFLOW [13, 14] was used to validate the non-Boussinesq integral model. Helium at 300 K, 1 bar is injected into the air (300 K, 1 bar) with various efflux velocities. The diameter of the orifice is 0.0845 m.Figure9 shows the trajectories of the horizontal buoyant jets. The non-Boussinesq integral model also provides good transition behavior for the horizontal buoyant jets with large density variations. The decays of the velocity and concentration along the trajectory are shown in Figures 10 and 11. Although small discrepancies exist between the results of the integral model and CFD code GASFLOW, the non-Boussinesq integral model is capable of predicting the horizontal buoyant jets with large density variations. Experimental data are expected for the further validation of the model.Figure 9
Trajectories of horizontal buoyant jet with large density variations.Figure 10
Velocity decay of horizontal buoyant jet with large density variations.Figure 11
Concentration decay of horizontal buoyant jet with large density variations.


## 5. Modeling Uncertainties

Before the Gaussian profiles are reached, the initial unsheared profiles undergo changes in form of peripherally growing axis symmetric mixing layers. This initial region is called the zone of flow establishment which lacks of self-similarity. The transition in this region is complex and rapid, and the distance is up to 5–10 diameter of the orifice. A distance of 5–10 diameters from the orifice is shifted in the study.The mass entrainment coefficients in this study were obtained under the experimental conditions when the velocity and density variation are not so high. How the high velocity and large density variation affect the entrainment coefficient is not clear. In the recent simulation of the underexpanded hydrogen jet [15], it indicates that the entrainment coefficient for the pure jet, α
j, increases from 0.055 to 0.065–0.07 when the velocity is sonic or supersonic.The mechanisms of these uncertainties needs further study in the future work.


## 6. Concluding Remarks

This non-Boussinesq integral model developed in the study is a fast engineering model to solve the horizontal buoyant round jets problems. The model was validated by the pure jet, horizontal buoyant jets with small/large density variations, and good agreements with the experimental data, and CFD predictions were obtained.For strongly buoyant jet the Boussinesq approximation is violated which will over-predict the mass entrainment and under-estimate the buoyancy effect [16]. It reveals that the Boussinesq approximation is valid when the density variation is less than 10%.The entrainment assumption is a key requirement for the integral model. The entrainment assumption taking into account the Richard number and the angleθ was used in the integral model, and satisfactory predictions for the modeling of horizontal buoyant jets were provided. The effects of large density variation and high velocity on the entrainment coefficient need further study in the future.



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*Source: 862934-2009-07-26.xml*