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A scaling analysis of transient natural convection in a reservoir model induced by iso-flux heating

Published online by Cambridge University Press:  23 December 2014

Peng Yu*
Affiliation:
School of Civil Engineering, University of Sydney, Sydney, NSW 2006, Australia
John C. Patterson
Affiliation:
School of Civil Engineering, University of Sydney, Sydney, NSW 2006, Australia
Chengwang Lei
Affiliation:
School of Civil Engineering, University of Sydney, Sydney, NSW 2006, Australia
*
†Present address: Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Republic of Singapore. Email address for correspondence: yup@ihpc.a-star.edu.sg
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Abstract

This study presents a detailed scaling analysis quantifying the transient behaviour of natural convection in a reservoir model induced by iso-flux surface heating. It is found that horizontal conduction, which has often been neglected in previous analyses, plays an important role in the development of the flow. Depending on the Rayleigh number, three possible pathways through which the flow develops towards the final steady state are identified. A thermal boundary layer initially grows downwards from the surface. When the thermal boundary layer reaches the sloping bottom and becomes indistinct, a horizontal temperature gradient establishes due to the increasing water depth in the offshore direction. A flow is then driven towards the offshore direction by a buoyancy-induced horizontal pressure gradient, which convects away the heat input from the water surface. On the other hand, the horizontal temperature gradient also conducts heat away. The flow behaviour is determined by the interaction between the horizontal conduction and convection. An interesting flow feature revealed by the present scaling analysis is that the region across which the thermal boundary layer encompasses the full water depth shrinks over time at a certain stage of the flow development. The shrinking process eventually stops when this region coincides with a conduction-dominated subregion. The present scaling results are verified by corresponding numerical simulations.

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Papers
Copyright
© 2014 Cambridge University Press 
Figure 0

Figure 1. Schematic of the reservoir model. The symbol $L$ denotes the total length of the reservoir. A very small tip region ($x<0.008L$) is cut off to avoid singularity at the tip.

Figure 1

Table 1. Possible development pathways of the flow.

Figure 2

Figure 2. Schematic of possible flow development pathways towards the final quasi-steady state. The horizontal axis denotes the distance from the tip for the slope region. Here $t_{d}$ is the time scale for the thermal boundary layer to reach the sloping bottom; $t_{h}$ is the time scale to reach the quasi-steady state in the conduction-dominated subregion; $t_{cL}$ and $t_{cR}$ are the time scales at which the convection balance is achieved; and $t_{m}$ is the time scale for the discharge flow.

Figure 3

Figure 3. Schematic of the movement of the interfaces between different flow regions: (a) $t; (b) $t_{B}; (c) $t>t_{F}$. Here $t_{B}$ denotes the time scale when the convection balance initially occurs, and $t_{F}$ denotes the time scale when the right boundary of the conduction-dominated subregion meets the left boundary of the convection-dominated subregion. The dashed lines denotes the interfaces: $x_{d}$ denotes the interface between the distinct and indistinct thermal boundary layer regions; $x_{h}$ denotes the right boundary of the conduction-dominated subregion; $x_{cL}$ and $x_{dR}$ denote the left and right boundaries of the convection-dominated subregion, respectively; $x_{B}$ denotes the position where the convection balance initially occurs; $x_{F}$ denotes the position where the left boundary of the convection-dominated subregion and the right boundary of the conduction-dominated subregion meet each other; $x_{D}$ denotes the position of the right boundary of the convection-dominated subregion at the quasi-steady state. The dash-dotted line denotes the boundary layer. The arrow indicates the direction of the movement.

Figure 4

Figure 4. Sketch of the velocity profile along the $x$ direction. Here $u_{m}$ denotes the peak velocity and $x_{u}$ denotes the corresponding location of $u_{m}$. Initially, with the passage of time, the peak velocity increases and its location moves in the offshore direction. The solid line denotes data at the water surface ($y=0$) from numerical simulation, whereas the dash-dotted line denotes data from scaling analysis.

Figure 5

Figure 5. Variation of $x_{B}$, $x_{F}$ and $x_{D}$ with Ra (see the caption of figure 3 for the definitions of $x_{B}$, $x_{F}$ and $x_{D}$). For $x_{B}$, the solid, dotted and dash-dotted-dotted lines denote the numerical solution of (3.21), the asymptotic solution and the approximate solution given by (3.22), respectively.

Figure 6

Table 2. Effect of mesh size and time step on the predicted maximum velocity at the quasi-steady state.

Figure 7

Table 3. Rayleigh numbers adopted in the numerical validation.

Figure 8

Figure 6. Horizontal velocity profiles along the water surface at different times for $\mathit{Ra}=0.14$. The symbols on the plots are used to distinguish the curves at different times instead of representing the $x$ locations where the $U$ velocity is sampled. The arrows indicate the locations of the peak velocity.

Figure 9

Figure 7. The transient behaviour of the position of the peak $U$ velocity along the surface: (a) time history of the position; (b) validation of the scale for $t; (c) validation of the scale for $t_{B}; (d) validation of the scale for the quasi-steady state ($\mathit{Ra}>1$). The Rayleigh numbers are indicated in the panels. The symbols denote the numerical results and the solid line is a linear fit in (b–d).

Figure 10

Figure 8. Time histories of (a) the peak $U$ velocity along the water surface and (b) the $u$ velocity at two fixed locations on the water surface. The Rayleigh numbers are indicated in the panels. The velocity and time are normalized as shown.

Figure 11

Figure 9. Profiles of the $U$ velocity along the water surface from the simulation.

Figure 12

Figure 10. Isotherms in the reservoir at different time instants for $\mathit{Ra}=2.1\times 10^{5}$. Isotherms at: (a) $t=0.005$ with an interval of 0.02; (b) $t=0.01$ with an interval of 0.05; (c) $t=0.05$ with an interval of 0.1; (d) $t=0.25$ with an interval of 0.2; (e) $t=0.5$ with an interval of 0.5; (f) $t=1$ with an interval of 0.5.

Figure 13

Figure 11. Profiles of the horizontal convection (solid lines) and conduction (dashed lines) heat transfer rates averaged over the local water depth at different time instants for (a) $\mathit{Ra}=2.1\times 10^{3}$ and (b) $\mathit{Ra}=2.1\times 10^{4}$.

Figure 14

Figure 12. (a) Time history of the $x$ coordinate of the intersection of the horizontal convection and conduction heat transfer curves $X_{i}$ from the numerical simulation for $\mathit{Ra}=2.1\times 10^{3}$ and $2.1\times 10^{4}$. (b) The locations of $X_{i}$ at the quasi-steady state from the simulation versus the scaling predictions at various Rayleigh numbers ($\mathit{Ra}>1$). The symbols denote the numerical results whereas the solid lines are linear fits.

Figure 15

Figure 13. Time history of (a) the $U$ velocity and (b) the renormalized $u$ velocity at fixed locations on the water surface. The locations and the Rayleigh numbers are indicated in the panels. The velocity and time are normalized as shown.

Figure 16

Figure 14. Profiles of the $U$ velocity along the water surface from the numerical simulation normalized by the relevant scale for the convection-dominated subregion.