Hostname: page-component-7b7567c8c-mnklg Total loading time: 0 Render date: 2026-11-12T06:27:19.451Z Has data issue: false hasContentIssue false

Decomposition of available potential energy for networks of connected volumes

Published online by Cambridge University Press:  09 June 2021

John Craske*
Affiliation:
Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
*
†Email address for correspondence: john.craske07@imperial.ac.uk

Abstract

A decomposition of available potential energy is derived for Boussinesq fluid flow in networks of connected control volumes. The two constituent parts of the decomposition are positive definite and therefore meaningful representations of available energy. The first (inner) part accounts for available potential energy that is intrinsic to each control volume, while the second (outer) part accounts for the context provided by the larger parent volume to which each smaller control volume belongs. While the intended application casts the control volumes as connected rooms in a building, the formulation can be applied to any domain that is partitioned by either physical boundaries or abstract zones and can be invoked recursively to clarify the hierarchical dependence of available potential energy on scale and context. By deriving budgets for the decomposition, two ways in which available potential energy can be redistributed between its inner and outer parts are identified. The first accounts for an apparent generation of available potential energy due to diapycnal mixing within a control volume that is constrained by removable boundaries. The second involves the reversible conversion between inner and outer parts that occurs when mass or heat is transported between control volumes and accounts for the concomitant change in context. Analytical expressions are derived for the hierarchy of contributions to available potential energy in an example involving three connected spaces, before budgets for the decomposition from a direct numerical simulation are analysed. Finally, the dependence of mixing efficiency on remote regions that was identified by Davies Wykes et al. (J. Fluid Mech., vol. 781, 2015, pp. 261–275) is revisited to demonstrate the precise way in which the proposed decomposition quantifies context.

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.An example of the space $\varOmega$ in a building as a set of connected control volumes $\omega _{1},\ldots ,\omega _{5}$ that partition $\varOmega$ and are therefore subvolumes. The buoyancy within each subvolume can be adiabatically rearranged to produce reference states $b_{*}(\omega _{1}),\ldots ,b_{*}(\omega _{5})$ to minimise (and therefore release) APE within each subvolume, termed ‘inner’ APE in § 2. The reference states themselves can be rearranged globally, with respect to the larger parent volume $\varOmega$ into $b_{*}(\varOmega )$ to minimise (and therefore release) APE over the entire domain $\varOmega$, termed ‘outer’ APE in § 2. The sum of inner and outer APE over all subvolumes $\omega _{1},\ldots ,\omega _{5}$ corresponds to the system's global APE (as defined by Winters et al.1995).

Figure 1

Figure 2.Simple examples where context is crucial in understanding the APE of subvolumes. Example (a) illustrates that the potential energy of a domain whose horizontal sections are not path connected can possess multiple local minima. In example (b) both sides of the tank initially contain a stable two-layer density profile. Irreversible diapycnal mixing of $\omega _{1}$, enhanced by stirring, gives $\omega _{1}$ a higher centre of mass than $\omega _{2}$, which would lead to counter-clockwise circulation between the tanks if openings were added in the partition. Example (c) is from Davies Wykes, Hughes & Dalziel (2015), who considered mixing of the (unstably) stratified fluid in region $\omega _{1}$ (thick red line) to produce a uniform buoyancy (thin red line). Here, APE depends on whether $\omega _{1}$ is considered in isolation or as part of $\varOmega =\omega _{1}\cup \omega _{2}$, in spite of the fact that the APE associated with $\omega _{2}$ is zero because its initial distribution of buoyancy is also its reference state. The reason is that individual reference states for $\omega _{1}$ and $\omega _{2}$ (thin dashed blue line) possess APE with respect to the global reference state over $\varOmega$ (thick dashed grey line).

Figure 2

Figure 3.Geometric ‘proof’ that (2.2) is positive definite when $b_{*}$ is a monotonically increasing function with $b_{*}(z_{*})=b$. Panel (a) illustrates a case for which $b_{*}(z)< b$ (and therefore $z< z_{*}(b)$) and (b) illustrates a case for which $b< b_{*}(z)$ (and therefore $z_{*}(b)< z$).

Figure 3

Figure 4.The arrangement of connected volumes $\varOmega = \omega _{1}\cup \omega _{2}\cup \omega _{3}$, whose power set $\mathscr {T}(\varOmega )=\{\varnothing ,\omega _{1},\omega _{2}, \omega _{3}, \omega _{1}\cup \omega _{2},\omega _{2}\cup \omega _{3},\omega _{3}\cup \omega _{1},\varOmega \}$, is displayed in the Hasse diagram in figure 5. The length of $\varOmega$ is $L$ (i.e. $\lambda +\mu +\nu =1$) and the bar on the right corresponds to the global reference state $b_{*}(\varOmega )$ when $0\leqslant b_{1}\leqslant b_{2}\leqslant 1$.

Figure 4

Figure 5.The Hasse diagram of the partially ordered power set $\mathscr {T}(\varOmega )$ corresponding to all combinations of the rooms in figure 4. An arrow from a set $X\in \mathscr {T}$ to a set $Y\in \mathscr {T}$, where $X\subset Y$, represents the outer APE $A(Y|X)$ that characterises the context provided by $Y$ for $X$. Each node of the diagram represents the inner APE associated with a given set (i.e. subvolume), which can be decomposed into various different components by following the arrows and nodes downwards. The bottom of the diagram represents infinitesimal points as empty sets, which have zero inner APE, as discussed further in § 6.2.

Figure 5

Figure 6.Components of the APE associated with figure 4. Panel (a) displays the effect of changing the relative width $\lambda$ of volume $\omega _{1}$ without changing $\mu =1/3$ such that $\nu =2/3-\lambda$ with $b_{1}=1/2$ and $b_{2}=3/4$. Panel (b) displays the effect of changing the relative width $\nu$ and buoyancy $b_{2}$ of subvolume $\omega _{3}$ without changing the APE $A(\omega _{2}\cup \omega _{3})=1/16$ and $\lambda =1/3$ with $b_{1}=1/2$. The vertical line in the centre of panel (a) is placed at $\lambda =1/3$ for comparison with § 5.

Figure 6

Figure 7.Diagram illustrating two ways in which inner APE can be converted into outer APE. The first, $D(\varOmega |\omega )$, is discussed in § 4.2 and accounts for diapycnal mixing that increases the outer APE at the expense of inner APE in example 2(b). The second, $X(\sigma ,\omega )$, accounts for the change in context that occurs when fluxes $J(\varOmega |\sigma ,\varOmega |\omega )$ and $J(\sigma ,\omega )$ transport heat or mass from $\sigma$ into $\omega$. The conversion $X(\omega ,\sigma )$ is dashed because if all pointwise fluxes from $\sigma$ to $\omega$ are positive then $X(\omega ,\sigma )=0$, as described in the paragraph below (4.12). An example of $X$ can be found in the large-scale circulation driven by outer APE that is discussed in § 5 (see figure 8), whose transport of buoyancy creates (or removes) inner APE from individual subvolumes.

Figure 7

Figure 8.The instantaneous buoyancy field from the numerical simulation described in § 5 and figure 4 with geometrical parameters $L=3$ and $\gamma =\mu =\nu =1/3$, and initial conditions $b_{1}=1/2$ and $b_{2}=3/4$. The colour map is from ‘3 Wave Colormaps’ at ‘https://sciviscolor.org’ and was selected to highlight regions of mixing around $b=0.25$ and $b=0.75$ in blue and yellow, respectively (see, e.g. Samsel et al.2019).

Figure 8

Figure 9.Probability density functions for the buoyancy field shown in each panel of figure 8 in each subvolume. Note that the histograms corresponding to $\omega _{1}$, $\omega _{2}$ and $\omega _{3}$ represent probability densities because the subvolumes, unlike their sum $\varOmega$, have unit volume. Also note that the scale used on the vertical axes is different in each row of the figure.

Figure 9

Figure 10.The temporal evolution of outer APE $A(\varOmega |\omega )$, inner APE $A(\omega )$ and their sum $A(\omega |\varOmega )$ for subvolumes $\omega _{1}$, $\omega _{2}$ and $\omega _{3}$. The shaded region corresponds to $A(\varOmega )/3$ and therefore represents the volume-averaged global APE to which contributions within each subvolume can be compared.

Figure 10

Figure 11.Terms in the budget of inner APE (4.15) for each subvolume (for the definitions of individual terms see (4.5) and (4.12)). The light grey shaded region corresponds to the temporal derivative of inner APE and the dark shaded region corresponds to the residual numerical error that is left when the terms in (4.15) are added together. The vertical line corresponds to the upper limit of the time domain used in figure 12.

Figure 11

Figure 12.Terms in the budget of outer APE (4.16) for each subvolume (for the definitions of individual terms see (4.7), (4.12) and (4.14)). The light grey shaded region corresponds to the temporal derivative of outer APE and the dark shaded region corresponds to the residual numerical error that is left when the terms in (4.16) are added together. Note that $D$ corresponds to the outer dissipation $D(\varOmega |\omega )=D(\omega |\varOmega )-D(\omega )$ in (4.16) and that $X$ corresponds to $\sum X(\sigma ,\omega )$ in (4.16), and therefore appears in this figure with an opposite sign to the $-X$ that appears in figure 11.

Figure 12

Figure 13.The local (pointwise) contribution to the (inner) APE dissipation $D(\omega )$ in each subvolume $\omega$ is displayed in (a) and the (outer) APE dissipation $D(\varOmega |\omega )=D(\omega |\varOmega )-D(\omega )$ is displayed in (b) (note the factor 10 difference in the scales used for the colormaps). The local (pointwise) contributions to $D(\omega )$ and $D(\varOmega |\omega )$ can be found in (4.5) and (4.7), respectively. The (outer) APE dissipation $D(\varOmega |\omega )$ represents a conversion between inner and outer APE (see figure 7 for reference). All variables are plotted at $t=9.8$, after the initial condition shown in figure 4 (cf. figure 8g). The colour map for $(a)$ is part of the ‘Outlier-Focused Colormaps’ found at ‘https://sciviscolor.org’, which provides the ‘Colormoves’ interface that was used to construct the colour map in (b) (see, e.g. Samsel et al.2019).

Figure 13

Figure 14.A conceptual illustration of the partitioning of a system's APE using the decomposition developed in § 2 and expressed in the recursive relation (2.11). The contribution of subvolume $\omega _{1}$ to the global APE $A(\varOmega )$ comprises inner APE $A(\omega _{1})$ and outer APE $A(\varOmega |\omega _{1})$, which sum to give the total APE $A(\omega _{1}|\varOmega )$ of $\omega _{1}$. As shown on the left-hand side, a given subvolume $\omega _{1}$ can itself be partitioned into $\omega _{11},\ldots ,\omega _{16}$, which allows the decomposition to be applied recursively, as explained in § 6.2.

Figure 14

Figure 15.The recursive application of (2.11) to compute the global APE $A(\varOmega )$ as a nested sum of outer APE contributions from exponentially smaller volumes (second column). As the volumes tend to zero, the contribution from inner APE tends to zero (first column).

Figure 15

Table 1.Inner and outer contributions to APE based on the initial conditions depicted in figure 4 and presented in figure 6. The entries marked ‘*’ correspond to volumes that are not spatially adjacent (see figure 5) but are included here for completeness and to aid calculation.