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No. 3035
THE EFFECT OF VOID FRACTION
CORRELATION AND HEAT FLUX
ASSUMPTION ON REFRIGERANT CHARGE
INVENTORY PREDICTIONS
C.K. Rice, Ph.D.
ASHRAE
Member
ABSTRACT
Ten void fraction correlations and four heat flux assumptions are evaluated for their effect on refrigerant charge
inventory predictions. Comparisons between mass inventory predictions are made for condensers and evaporators over
representative heat pump operating ranges of saturation temperature, mass quality, and mass flux. The choice of void
fraction model is found to have a major effect on refrigerant inventory prediction. The maximum variation of predictions
ranges from a factor of 10 for low-ambient, heating-mode evaporators to 4.2 for cooling-mode evaporators and 1.7 for
high-ambient cooling-mode condensers assuming no subcooling. The correlations of Hughmark, Premoli, Tandon, and
Baroczy are found to give the highest predictions and closest agreement to measured total system charge. The choice of
heat flux assumption is shown to be insignificant for forced-flow evaporators and of secondary to possibly equal
importance to choice of void fraction model for condensers. Implications for charge balancing, off-design and transient
performance prediction, and unit reliability are discussed.
INTRODUCTION
Analytical prediction of the refrigerant charge inventory in a heat pump is a potentially valuable aid in system design
that has received limited attention to date. Most heat pump systems are charge-sensitive in the sense that the off-design
performance is determined, to some degree, by the amount of total charge in the unit. Finding the charge that gives good
operation at both design and off-design conditions has been largely a trial-and-error experimental evaluation. The
capability to model such off-design effects analytically opens the way to search for more optimal refrigerant charge/flow
control balances as a part of the initial system configuration studies rather than after a given hardware design has been
selected. This capability also provides a design tool for determining ways to minimize total system refrigerant charge. As
noted by Bonne et al. [ 19801, reductions in total unit charge should improve system cycling performance. Improved
recovery rates from defrost cycle reversal are also expected benefits, as well as improved compressor reliability from
minimization of compressor slugging conditions [Moore 19781.
A major difficulty in charge inventory analysis is proper prediction of the refrigerant mass in the two-phase regions of
the condenser and the evaporator. This is because of two basic uncertainties: the degree of vapor-to-liquid slip at each
cross section in the two-phase region, and the variation of refrigerant quality with length through the two-phase region.
The simplest approach is to assume zero slip (a slip ratio of 1) and constant heat flux (quality varying linearly with
length) in the two-phase region. Stoecker et al. [ 198 l] followed this approach with the further simplification of ignoring
the vapor contribution. Other modelers assuming zero slip include James and Marshall [ 19731, Daniels and Davies
-
C. Keith Rice is a research staff member in the Building Equipment Research Program, Efficiency and Renewables
Research Section, Energy Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee.
341
[1975], Dhar and Soedel [ 19791, Bonne et al. [ 1980; *], Farr,+ and MacArthur [ 19841. These investigators used a
variety of constant and discretely variable heat flux approaches in their heat exchanger analyses. Other researchers
[Otaki 1973; Otaki and Yoshii 1975; Rigot 1973; Ahrens 19831 have included slip effects but assumed constant heat
flux. Domanski and Didion [ 19831 included slip effects and computed the two-phase region in a tube-by-tube manner,
thus having discretely varying heat flux. Only Domanski and Otaki included comparisons of analytical charge inventory
results to experiment. Domanski found significant differences in both condenser and total inventory comparisons, while
Otaki’s results were generally within + 10% of measured total charge for a variety of vapor compression machines.
. The major emphasis of this paper is to survey and compare a wide variety of slip ratio models (more generally
represented by void fraction correlations) and four, different heat flux variation assumptions. Both void fraction
correlations developed for annular flow and those proposed as reasonably accurate without regard to flow regime are
included.
A
brief review of each correlation from the author’s perspective is provided followed by comparisons of their
predictions for cases of direct application to heat pump charge inventory analysis. This is done with regard to the effect
on refrigerant mass predictions over the two-phase region of condensers and evaporators operating at representative
conditions.
The basic equations for charge inventory calculation are given first for both single-phase and two-phase regions of a
heat exchanger. The relationship of void fraction correlation and heat flux assumption to these equations is developed
here. The various void fraction correlations to be considered are presented next along with sample predicted profiles vs.
mass quality. The specifics of the four considered heat flux assumptions are then developed followed by total two-phase
mass inventory predictions for the various correlations for a constant heat flux. The effect of variable heat flux on the
predictions is examined and compared to the influence of void fraction correlation. The results are compared with
available charge inventory measurements. Last, possible implications of the range of predictions and applications of the
results are discussed with regard to system charge inventory control and off-design and transient performance prediction.
BASIC EQUATIONS
Single-Phase Refrigerant Sections
The single-phase refrigerant mass,
m,
contained in a length of tubing,
L,
of cross-sectional area
A,
and total volume,
V is given by
(1)
where p is the local single-phase refrigerant density along the tube. Equation 1 can be rewritten as
where paye
is a suitably averaged* refrigerant density over the tube length. These equations would be used to calculate
the refrigerant mass in the subcooled liquid or superheated vapor sections of a heat exchanger.
l
Ulrich Bonne, Honeywell, Inc., Corporate Technology Center, Bloomington, MN, personal communication, 1982.
+Richard A. Farr, R&R Supply Company, Inc., Columbus, OH, personal communication, 1983.
*The choice of averaging method used for nonisothermal single-phase regions is of secondary importance when compared
to the uncertainties in the two-phase calculations.
342
Two-Phase Refrigerant Sections
The two-phase refrigerant mass contained in a length of tubing is obtained by summing the gas g and liquid f
contributions occupying each cross-sectional area over the length of the region. These contributions are given separately
by:
mg = s,L Pg’ dVg = PgsoLAg.dl ,
and
(2)
(3)
where
A,
= cross-sectional area occupied by vapor,
Af
= cross-sectional area occupied by liquid, and
4 =
A,
-I-
AJ
at each cross section.
Relationship to Void Fraction
Introducing the void fraction CY
=
A,/A,,
Equations 2 and 3 can be rewritten as:
“g
= ,ogAcjoL a.dZ ,
(4)
and
“2/
= p,A,JbL(l - a).dl . (5)
The total mass,
mr,
in the two-phase section can be obtained from Equations 4 and 5 in terms of tube volume V as:
Density Weighting Factors
The void fraction (Y is generalIy represented as some function of refrigerant quality, x. Therefore, to evaluate m1 from
Equation 6 for a given void fraction equation, i.e.,
CY = f,(x) 9
(7)
the tube length variable,
1,
must be related to mass quality, x, in some manner. This relationship is obtained from an
assumption regarding the heat flow variation,
dQ,
with differential length,
dl,
in the two-phase region, that is,
dQ = I;zrhjgdx = fe(x).dl , (8)
where
m, = refrigerant mass flow rate,
hrg = enthalpy of vaporization, and
fe(x) = assumed heat flux equation (i.e., equation for local heat flow per differential length*).
*Because the heat flow per differential length is functionally equivalent to the heat flux dependence in a tube assuming
no radial dependence,
heat
j7ux variation will be used herein instead of local heat flow per unit length.
343
In terms of the representations
foL(x)
and
fe(x)
given by Equations 7 and 8, Equation 6 can be rewritten as:
m, =
v* PgWg + P/O -
I wg>
1
7
where
w = JX:fJxVf~(x)dx
g j-XT l/fe(xMx ’
(94
C’b)
and xi and x, are inlet and outlet refrigerant qualities. The normalized integral
Wg
is the refrigerant gas density
weighting factor.* Thus the evaluation of the two-phase refrigerant mass is reduced to the problem of evaluating the
integrals given in Equation 9b for selected void fraction correlations [f
Jx ))s]
and heat flux assumptions [
fe(x ))s].
Since the refrigerant liquid term is the major contributor to the total mass in the heat exchanger, it is convenient for
discussion purposes to rewrite Equations 9a and 9b in terms of the refrigerant liquid density weighting factor,
WI,
i.e.,
mi = v PfWf + PgO -
1 Wf>
1
,
(104
where
Wf = J,“f dx)/fe(x)dx
j-%- l/fQ(x)dx ’
and
f
rWa(x) = 1 -
f,(x)
= liquid fraction (or holdup) correlation.
Equation 9a or 10a thus gives the total refrigerant mass in the two-phase section of a heat exchanger.
(lob)
VOID FRACTION REPRESENTATIONS
The void fraction is generally represented as a function of mass quality, x, and combinations of various types of property
indexes (which remain constant for a given average evaporator or condenser saturation temperature).
have dependences on mass flow rate been correlated. Existing correlations reviewed by the author
four categories:
Only in a few cases
were classified into
- homogeneous,
- slip-ratio-correlated,
- X*,-correlated, and
- mass-flux-dependent.
Homogeneous
The homogeneous model is the most simplified. The model considers the two phases as a homogeneous mixture,
thereby traveling at the same velocity. In this model, the relationship between void fraction, 01, and mass quality, x, is
straightforwardly derived as:
1
a=
I I
t
1 + -‘” P.Z., (11)
l Wg
can alternatively be described as the heat-flux-averaged void fraction over
a
given mass quality range.
344
where the property index
P.Z., = pg/pJ.
This formulation has been used by James [1973], Daniels [ 19751, Dhar
[ 19791, Stoecker [ 19811, Bonne [ 19801, and MacArthur [ 19841.
Slip-Ratio-Correlated
A slightly more involved approach is to assume that the liquid and vapor phases are separated into two streams that
flow through the tubes with different velocities, ug and uf, the ratio of which is given by the slip ratio S = ug/up A
modified form of Equation 11 has been used to include this effect,
i.e.,
1
1
a= eD t
(12)
1+ l-xPgs
I I
--. 1+
l--x P.Z.1.S
X
pr
[ I
X
where S
is
estimated differently by various investigators.
Rigot and Ahrens/Thom.
Rigot [ 1973) suggested using an average value of 2 for slip ratio for his intended
application. Ahrens [ 19831 recommended use of the steam/water data of Thorn [ 19641 suitably generalized by the
property index
P.Z. 2
given by:
(13)
In the Ahrens/Thom method, the slip ratio, S, is, in effect, dependent on the refrigerant operating pressure only and
is
thus independent of quality. The Thorn method was developed along the same lines as the more well known Martinelli-
Nelson [ 19481 approach for steam/water systems under boiling conditions. The Thorn method represents a more
extensive set of void fraction data and as such should be the preferred choice. Slip ratio values generalized from the
Thorn method in terms of
P.Z. 2
are given in Table 1. In Table 2, corresponding values of various property ratios
including
P.Z.z
are given for an appropriate range of R-22 saturation temperatures. From Tables 1 and 2, it can be seen
_*-’ -
----‘-that in the Thorn method, the &a ratio is predicted ^.
to range .from- about 1.5 at high condensing temperatures to about
2.5 at low evaporatemg temperatures.
Zivi.
Zivi [ 19641 developed a void fraction equation similar in form to Equation 12 where S is given by:
s = P.Z., -If3 .
I 1
(14)
This relationship was developed for annular flow based on principles of minimum entropy production under conditions of
zero wall friction and zero liquid entrainment (100% liquid entrainment gives a slip ratio of 1).
Smith.
Smith [1969] developed a correlation based on equal velocity heads of a homogeneous mixture center and an
annular liquid phase. He obtained an equation for slip ratio S, dependent on the density ratio
P.Z.l,
mass quality, and
entrainment ratio
K
given by:*
l/PJ1+K x
S
= K +
(1 -
K)
k-4
w
l-x
(15)
and where
K
= 0.4 was found to correlate well with the three sets of experimental data considered.
In summary, the slip-ratio-correlated equations all use Equation 12 for void fraction with the vapor slip ratio S given
alternatively by
s = 2, Rigot [ 19731,
*Zivi also developed more involved slip equations dependent on entrainment level and mass quality but did not attempt a
general correlation to existing data.
345
S = f(P.Z.2) in Table I, Ahrens/Thom [ 19831,
or
s = (P.Z. J-‘i3,
Zivi [ 19641,
or
S = f(P.1. r, x), Equation 15, Smith [ 19691.
X,-Correlated
Another group of correlations avoids the use of a form of the homogeneous equation by employing the Lockhart-
Martinelli (L-M) correlating parameter X,, defined as:
&t =
1 - x
I I
o.9
x P.I.p . (16)
Lockhart-Martinelli.
The well-known early L-M pressure drop work [ 19491 presented void fraction data as a function
of X,, on two-phase/two-component adiabatic flows near atmospheric conditions. These data were approximated by
equations developed by Wallis [ 19691 and refined by Domanski and Didion [ 19831 for X,, > 10. The equations are:
= cl +
xl10.8)-0.378
for X,, < 10 ,
(17)
= 0.823 - 0.157
In X,, for X,, > 10 . (18)
These equations were used by Domanski [ 19831 in a charge inventory model for heat pump simulation.
Baroczy.
A second general X,, correlation is that developed by Baroczy [ 196.51. He added a direct functional
dependence on the property index
P.I. 2,
i.e., (Y =
f(X,,,P.Z.&
beyond that already included in the L-M correlating
parameter, Xtt, as given by Equation 16. This correlation was developed over a wider range of conditions than the L-M
representation and like L-M is easily applied to different fluids through the property index formulation. The tabular
representation of the Baroczy method in terms of liquid fraction (1 - a) is given in Table 3.
Baroczy [ 19661 noted in his comparisons with experimental data [Staub and Zuber 19641 that there was also an
apparent mass flux effect that was not accounted for in his correlation. The observed effect of increased mass flux was to
increase void fraction values at any given quality. The remaining methods to be surveyed include a mass flux effect.
Mass-Flux-Dependent
The mass-flux-dependent methods include one physically based model for annular flow [Tandon et al. 19851 and two
empirically based correlations [Hughmark 1962; Premoli 19711.
Tandon.
The model developed by Tandon et al. [ 19853 is an improvement for annular flow over the Zivi [1964]
method in that the effect of wall friction is included. The Tandon method predicts void fraction results close to those of
Smith [ 19691 yet does include a small mass flux effect. The correlation is of the form
a = f(ReL,&) ,
where ReL is the liquid Reynolds number. The full equations are given in Appendix A for reference.
Premoli.
The empirical correlation developed by Premoli et al. [ 19711 is of interest because it was optimized to
minimize liquid density prediction errors.* Since density differences directly relate to refrigerant mass predictions, the
*The intended purpose was for determining reactivity effects of two-phase coolant in nuclear reactors.
346
approach could be well suited for the intended application. The model is developed in terms of the modified homogeneous
equation (Equation 12) where the slip ratio, S, is represented by
S = f(x,P.Z.,,ReL,We) ,
where
We
is the Weber number (dependent on mass flux, diameter, and surface tension). The complete correlation is
also given in Appendix
A.
The Premoli correlation was developed for a large variety of conditions for two-phase mixtures
flowing upwardly in vertical adiabatic channels.
Hughmark.
The empirical Hughmark [ 19621 correlation is a generalization of the work of Bankoff [1960], which
assumed a bubble flow regime with a radial gradient of bubbles across the channel. Hughmark was concerned with
prediction of liquid fraction (holdup), (1 - ar), in the pipes of oil refineries.
Although developed for vertical upward flow with air-liquid systems near atmospheric pressure, the correlation was
found by Hughmark to do equally well for horizontal flow, for much higher pressures, and for other flow regimes. This
approach has been used by Otaki [1973] and Otaki and Yoshii [I9751 for the prediction of the refrigerant charge in
refrigerating, air-conditioning, and heat pump systems.
In the correlation, void fraction is given by a correction factor
KH
to the homogeneous equation, i.e.,
&I
a=
I 1
9
1+
l--x P.I.,
x
(19)
where
KH
=
f
(2) given in Appendix A, and Z (also given in Appendix A) is dependent on a viscosity-averaged
Reynolds number, the Froude number, and the liquid volume fraction, i.e.,
where
G = mass flux,
Di
= tube inside diameter,
P = kinematic viscosity.
Since Z contains a dependence on void fraction (Y through the averaged Reynolds number, Equation 19 must be
iteratively evaluated to obtain the void fraction at each refrigerant quality.
Liquid Fraction (Holdup) Comparisons
Liquid fraction results are shown in Figures 1 and 2 as a function of refrigerant quality for a sampling of the
discussed void fraction methods. The results were generated for refrigerant saturation temperatures representing a low-
ambient heating-mode evaporator condition [ 5 F (- 15”C)] and a high-ambient cooling-mode condenser condition [ 130 F
(54.4”C)I. Liquid fraction is shown rather than void fraction, since the refrigerant mass contained in the two-phase
section of a coil is overwhelmingly determined by the liquid distribution (due to the order-of-magnitude density
difference).
From the comparisons, it is seen that the more involved models generally predict a larger liquid presence than the
homogeneous baseline. The only exception is at qualities less than 0.2 for the high-temperature, condensing case where
the Lockhart-Martinelli model predicts liquid fraction values lower than for the homogeneous case. This implies predicted
slip ratios of less than one for the L-M method at low qualities.
Comparison of the general levels between Figures 1 and 2 shows that at higher saturation pressures the heat
exchanger mass quality range is occupied by more liquid. This is because of an increase in the gas-to-liquid density ratio
(P.Z.
1) which decreases void fraction at a given quality level [from Equations 11 and 121.
The curves shown in Figures 1 and 2 represent the f~-~ (x) correlations to be used in Equation lob along with heat
flux weighting factors, fe(x))s, to obtain the two-phase mass inventory. Various choices of heat flux weighting factors to
be applied to these curves are described next.
347
TWO-PHASE HEAT FLUX ASSUMPTIONS
Constant Heat Flux
By far the most common heat flux assumption used is that of a constant heat flux [Otaki 1973; Rigot 1973; Otaki
and Yoshii 1975; Stoecker 1981; Ahrens 19831. From Equation 7, this assumption gives
dQ = lit,
hf,dx
=
fe(x)*dl
= constant.
dl ,
i.e., a linear relationship between quality and tube length. Since f~(x) = constant, each increment of refrigerant quality
is weighted equally in averaging the liquid fraction, given by fr -Jx), in Equation lob.
Constant Tube Wall Temperature
A second possible assumption is that of constant tube wall temperature along the tube length. Here
where fQ(x) can be given simply* by UR(x), the local refrigerant-side heat transfer coefficient. This approach was used
by Hiller and Glicksman [ 19761 in obtaining average heat transfer coefficients for two-phase regions of condensers and
evaporators.
Constant Average Air-to-Refrigerant AT
A third approach analyzed was to assume a constant average air-to-refrigerant
AT
along and across the tube length.+
By analogy with Equation 20, this sets fe(x) to UT(x), the local overall air-to-refrigerant heat transfer coefficient.
Variable Air-to-Refrigerant AT (With Constant Entering Air Temperature)
The effectiveness/NTU equation [Kays and London 19641 for a heat exchanger with one fluid at constant
temperature can be used to more accurately represent (under certain conditions) the air temperature change across a
single tube or parallel bank of tubes at each given tube cross section. For a uniform entering air temperature t,ir,in along
the tube length, the equation is:
dQ = [ 1 - ~-NTU’x’](tr - t,i,,i,) C,,. ~ , (21)
where
C& = air capacity rate,
NTU(x) = V,(x)*A/&,, and
A
= heat transfer surface area over which UT and C,, apply.
Elimination of the constant terms gives
j-Q(X) = 1 - e--NTU(x) .
Because of the variety of complex circuiting arrangements possible, it is difficult to generalize as to which of the
above methods is more representative when applied to the two-phase region of a heat exchanger as a whole. For certain
*This is because the term
ATre+t,,t,JL
is constant for constant tube wall and refrigerant temperatures and the constant
terms cancel out in Equation lob. Similarly, ye(x) can be given by 1.0 rather than a specific constant value for the
constant heat flux case.
+Since the refrigerant temperature is constant, this implies the use of a constant average air temperature for the analysis.
348
simplified heat exchanger circuiting assumptions [Hiller and Glicksman 19761, Equation 21 is the more exact treatment.
However, for circuiting arrangements where the tubes are serpentine in the airflow direction, Equation 21 is only
appropriate when applied one tube at a time with the proper average value of toir,in used for each tube. The approaches
used by Daniels and Davies [ 19751 and Domanski and Didion [ 19831 approximate this treatment by dividing the two-
phase region of the heat exchanger into sections or tube lengths and applying Equation 21 with an average NTU to each
section.
In summary, the four heat flux assumptions to be considered result in heat flux weighting factors fe(x) of:
1. j-e = 1 for constant heat flux (Q = constant),
2.
fQ = u,(x)
for a constant wall temperature,
3.
fQ = UT(x)
for a constant air-to-refrigerant
AT,
or
4. fQ = 1 - e-N=Wx) for a variable air-to-refrigerant
AT (Q oc [
1 - e-NTU(x)]) ,
for use in either Equation 9b or lob to compute integrated gas or liquid density weighting factors, respectively.
The latter three heat flux assumptions are attempts to account, in varying degrees, for the expectation that
proportionally more of the heat exchanger length (in the two-phase region) will be required for those sections that have
the lower refrigerant-side heat transfer coefficients. The application of these four heat flux assmptions show the range of
possible effects from a uniform weighting to a weighting inversely proportional to the local value of
UR.
Good heat
exchanger design practice is expected to keep the range of possible variation within these bounds and more toward the
constant-heat-flux-assumption end of the spectrum.
MASS INVENTORY PREDICTIONS
Constant Heat Flux, Quality Range of 0 to 1
The results to be shown for mass inventory predictions are given in the general terms of average two-phase refrigerant
density,
PTp,
which is directly proportional to the total refrigerant mass in the two-phase section of the heat exchanger,
i.e.,
PTP = mT/V ,
(22)
where the constant of proportionality is l/V, the inverse of the heat exchanger volume in the two-phase section. From
Equation lOa,
pTp
is given by:
PTP
= Pp-( + P*U - WJ-> 9
(23)
where
Wf
is the liquid density weighting factor. Because of the constant proportionality, average R-22 density and
refrigerant mass inventory are used synonymously in the following discussion.
Cumulative Values.
In Figure 3, the cumulative amounts of liquid, vapor, and total mass are shown for a condenser
condition for the two limiting* void fraction casesYhomogeneous and Hughmark for a low G value. The homogeneous
method predicts about 50% as much total mass as Hughmark with nearly 60% of that mass in the 0.0 to 0.30 mass
quality section of the heat exchanger. In contrast, Hughmark has a much larger liquid mass contribution above 30%
quality. Overall, liquid accounts for about 70% of the homogeneous total mass as compared to nearly 90% in the
Hughmark case.
Mass-Flux-Independent Comparisons.
In the next series of figures, the total R-22 inventory values predicted over the
quality range of 0.0 to 1.0 for the ten void fraction methods are compared. This is done for a range of saturation
temperatures and flow rates under a constant heat flux condition. The saturation temperature range chosen covers the
region of most application to heat pumps.
*Limiting based on total mass predictions as shown later.
349
The first comparisons in Figure 4 include the seven mass-flux-independent methods. For reference, the curves
representing pure R-22 vapor and liquid densities are included as lower and upper boundaries. The Baroczy and Zivi
methods are the highest-predicting of the group (and are nearly identical) giving low-temperature evaporator densities
more than 2.6 times larger than the homogeneous case. Condenser densities are predicted 40% to 50% larger than
homogeneous. The Smith prediction gives slightly lower values than the first two but with the same approximate slope as
all the methods except for Rigot and Lockhart-Martinelli. The Rigot method of a constant slip ratio of 2 matches the
Thorn method at 40 F (4.4OC)’ but overpredicts compared to Thorn at 130 F (54.4”C) where a slip ratio of only 1.44
is predicted.
The Lockhart-Martinelli method is seen to approach the homogeneous results at high condenser temperatures. This
follows from the Lockhart-Martinelli lower and then higher predictions of liquid fraction values (as compared to the
homogeneous), as shown earlier in Figure 2. The Thorn method more closely represents the alternative Martinelli-Nelson
[ 19481 approach, which contained interpolated curves more appropriate for such high-pressure applications than those of
Lockhart-Martinelli.
Mass-Flux-Dependent Comparisons.
The ranges of mass inventory predictions for the three mass-flux-dependenr
models are shown in Figure 5. The regions shown for each method are bounded by selected lower and upper limits of
mass
flux, G, for conceivable ranges of heat pump operation and coil circuiting. These values of G and corresponding
inner diameter,
Di,
values were set at:
low G = 2 X 1041bm/h.ft2(2.712 X 10’ kg/s.m2)
Di = 0.0458
ft (14.0 mm)
mid G = 1 X 1051bm/h.ft2(1.356 X lo2 kg/s.m*)
Di = 0.0367
ft (11.2 mm)
high G = 5 X lo5 lbm/h.ft*(6.781 X lo2 kg/s.m2)
Di = 0.258
ft (7.86 mm)
The results for the Lockhart-Martinelli and homogeneous methods from Figure 4 are repeated as reference lines.
Although not shown in Figure 5, the Zivi line from Figure 4 cuts diagonally across the Tandon region in Figure 5 from
just below the lower left corner to just above the upper rightmost corner.
The Tandon and Premoli methods are seen to give similar predictions for evaporator conditions with the Premoli
method consistently predicting higher values for condenser cases. The Hughmark method only agrees with the other two
mass-flux-dependent correlations at conditions of low evaporator temperature and high mass flux; elsewhere, the
Hughmark predictions are always higher-increasing in difference as the mass flux is lowered.
Summary Comparison of Methods.
The various two-phase density predictions for the case of constant heat flux and a
quality range of 0 to 1 are summarized in Figure 6. Here the Hughmark predictions are shown in more detail and form
the upper boundary of the density predictions. The mid-G Hughmark line is the most representative of average heat
pump flow rates and as such is the best line for comparison to the mass-flux-independent curves in general. However,
heat pump operation does tend to approach the low G values at low evaporator temperatures, which is toward the
direction of highest density prediction difference. Figure 6 once again emphasizes the disparate slope of the Lockhart-
Martinelli line. It is also of interest to note that the Zivi and especially the Baroczy results from Figure 4 coincide closely
with
the Hughmark curve for high mass flux.
Constant Heat Flux, Evaporator Quality of 0.2 to 1.0
Summary Comparison of Methods.
The curves shown in Figure 6 are repeated in Figure 7 with only the range of
integration changed for the evaporator conditions. For heat pump operation, the evaporator inlet quality, rather than 0.0,
is
typically around 0.2 after isenthalpic expansion from condenser exit conditions. The effect of this adjustment is to
further widen the range of predicted differences. The low-G Hughmark case is a factor of 10 above the homogeneous
case at the lowest evaporator temperature,t a factor of 6 above the Thorn method, and 2.7 times that of Lockhart-
Martinelli, whereas before in Figure 6 the ratios were 5, 3, and 2, respectively.
‘As can be checked using Tables 1 and 2.
t Where the low-G condition is most likely.
350
For typical cooling mode evaporator conditions of 45 F (7.2”C), the mass predictions of the more likely, mid-G
Hughmark line are ratios of 4.2, 2.9, and 1.8 over the homogeneous, Thorn, and Lockhart-Martinelli methods,
respectively. For high-temperature condenser conditions, the range of predictive differences narrows considerably where
the mid-G Hughmark ratios are 1.7, 1.4, and 1.6 over the homogeneous, Thorn, and Lockhart-Martinelli methods,
respectively.
In Figure 8, the remaining void fraction correlations of interest are shown for the evaporator quality range of 0.2 to
1.0. The Hughmark, Premoli, and Tandon methods are given for mid-G values for the most representative comparison to
the Baroczy and Smith methods.
The wide range of predicted evaporator densities shown in Figures 7 and 8 results in a similar variation in the
predicted proportions of mass to be found in the condenser relative to the evaporator. The ratios predicted by the various
methods for low and moderate ambient heating conditions and a high-ambient cooling condition are given in Table 4.
The condenser-to-evaporator mass ratios predicted range from a high of 7.46 to a low of 1.82 for the low-ambient
heating case with the range reducing to 4.95 to 1.74 for the high-ambient cooling case. The three mass-flux-dependent
methods along with the L-M method show the least change in ratio with change in operating conditions.
The curves in Figures 7 and 8 also show additional points worthy of mention. First, comparison of Figure 7 to
Figure 4 shows the Zivi and the Lockhart-Martinelli predictions switch order for evaporator inlet qualities of 0.2. The
Zivi method apparently obtains relatively more mass from the 0.0 to 0.2 quality range. The Lockhart-Martinelli and
Thorn (approximating Martinelli-Nelson) methods become noticeably more dissimilar in evaporator predictions than in
Figure 4. The Zivi and Baroczy methods show a similar widening of difference for evaporator conditions (comparing
Figures 7 and 8 to Figure 4).
Figures 7 and 8 provide an overview of the predictive variation of the ten considered void fraction models for possible
ranges of heat pump conditions with the assumption of
constant heat
frux. The relative effect of the second factor to be
considered-choice
of heat flux assumption-is
shown next.
;-- --J-T- _‘,-.3L,I_ ,. >.,. *
_ -__/-- A.
Heat FIux Wei&ing Factors
Assumptions.
In Figures 9 and 10, local heat flux weighting factors are given for representative condenser and
evaporator conditions. The curves were generated for the mid-G mass flux case and required use of mass-quality-
dependent and mass-flux-dependent, refrigerant-side heat transfer coefficients. The local condensing coefficients were
based on equations of Traviss et al. [ 19731. The local evaporator coefficients were based on the work of Chaddock and
Noerager [1966] for qualities up to 0.75 beyond which the heat transfer coefficient was assumed to fall off quadratically
(due to dryout) to the pure vapor coefficient at a quality of 1 [Fischer and Rice 19831. The dryout point of 0.75 was
estimated from the work of Sthapak et al. [1976]. The air-side heat transfer coefficients and the relative refrigerant-to-
air-side heat transfer areas, etc., were taken from the sample heat pump configuration given by Fischer and Rice [ 19831.
Condenser.
The local condenser weighting factors shown in Figure 9 reflect the effects of an increasing condensing
coefficient with increasing quality. This is because the weighting factors are the reciprocal of the U-dependent f@(x)
functions. Figure 9 shows that the constant wall temperature assumption (JQ = U,) results in, the strongest
weighting of the low mass quality region and the weakest in the high quality sections where the heat transfer coefficient
is highest and quality changes most rapidly with length. The constant average and constant entering air temperature
cases (fQ = UT and fe = 1 - e-NTU, respectively) are progressively closer to the constant heat flux line
since the constant air-side coefficients in UT tend to moderate the effect of the local U, variations.
Evaporator.
For the evaporator in Figure 10, the curves are similar in shape to those for the condenser until the point
of dryout (x = 0.75). At that point, the dropoff in heat transfer coefficient causes a switch from less than to greater
than unity weighting as the lower pure vapor coefficients are approached.
Variable Heat’Fhx, Low Mass Flux
The local heat flux weighting factors were applied through Equation lob to the void fraction distributions shown
earlier in Figures 1 and 2. Comparative results of the integration for average density are shown in Figures 11 and 12 for
the four heat flux assumptions for the homogeneous and Hughmark cases (which had the widest range of predictions for
the constant heat flux case).
351
Evaporator.
In Figure 11, both evaporator and condenser conditions are included for the case of low mass flux (as
defined earlier). The range of evaporator quality used was from 0.2 to 1. The results indicate that neither void fraction
method is significantly affected by the heat flux assumptions for the evaporator.
The different weightings throughout the evaporator quality range appear to approximately cancel each other. For the
Hughmark method, the higher liquid fraction predictions in the mid-quality region were the most strongly lowered by the
low weighting given by assumption 2. This made assumption 2 the lowest predicting of the four methods for the
Hughmark evaporator case in contrast to the three other sets of comparisons where assumption 2 was the highest
predicting. Note in all cases, however, that curves 3 and 4 move respectively closer to the constant heat flux case.
Condenser.
For the condenser situation in Figure 11, a more significant effect is seen to result from the variable heat
flux assumptions. The homogeneous results are increased up to 41% for curve 4 and up to 64% for
curve 2.
For the
Hughmark method, increases of at most 19% to 31%, respectively, are seen.
Variable Heat Flux, Moderate to High Mass Flux
Condenser.
In Figure 12, results for condenser conditions only are shown for moderate to high mass flux cases.
(Evaporator variations were again insignificant.) Compared to the similar curves in Figure 11, curves 3 and 4 move
downward closer to the constant heat flux curves. For mid-G conditions, curves 3 and 4 have moved almost equidistant
between 1 and 2. At high G, curves 3 and 4 have moved almost all the way back to curve 1. Note that the homogeneous
curves, 2, 3, and 4, are functions of mass flux through the dependence of the heat flux weighting factor on G. The shift
of curves 3 and 4 toward curve 1 at higher G values reflects the decreasing dependence of the overall U values on the
variable U, value-instead depending more on the constant air-side U values.
In summary, the various heat flux assumptions considered have minimal effect on evaporator mass inventory
predictions. For a condenser with low-G values, inventory values of at most 41% to 61% larger are predicted for the
homogeneous method and at most 19% to 31% for the Hughmark method. For larger G values, the differences remain
relatively constant for assumption 2 but reduce progressively to small values at high mass flux for assumptions 3 and 4.
DISCUSSION
From the preceding survey of possible methods, it is seen that the choice of void fraction model is of major significance
in determining two-phase refrigerant charge inventory accurately. This is especially so in the evaporator. However, the
choice of heat flux assumption appears to be insignificant for evaporators and of secondary to possibly equal importance
to choice of void fraction model for condensers.
Comparison with Experiments
With regard to comparisons to measured charge in operating condensers and evaporators, only two sources of
comparison were found.
Domanski and Didion [ 19831 compared total charge and condenser charge for one cooling mode condition with
results calculated from their heat pump simulation model. Their model used the Lockhart-Martinelli correlation and a
tube-by-tube heat exchanger model. As such, any inaccuracies due to heat flux approximations through the condenser
should have been minimal. Their model underpredicted the total refrigerant charge by 26.5% and that determined to be
in the condenser by 1 l%.* With subcooling accounting for probably 25% of the R-22 mass in the condenser, this would
imply about a 15% underprediction for the mass in the two-phase region. From Figures 4 and 5, the methods of Thorn
and Tandon would predict values about 15% higher than the L-M method.
*Their procedure for determining the amount of mass in the condenser may have underestimated the amount of charge
due to leakage past isolation valves.
352
Otaki [1973, 19751 made more extensive comparisons between model and experiment. He used the Hughmark
method and a constant heat flux assumption and calculated the fraction of the heat exchanger length occupied by
subcooled, two-phase, and superheated refrigerant. Comparisons of total charge only were made for one electric
refrigerator, six window-type air conditioners (0.6 to 1.5 kW), six air-source heat pumps (3.7 to 11 kW), one water-
source air conditioner (3.7 kW), one large bus cooler, and one trailer refrigeration unit. This gave a total of 17 units,
some R-12 and most R-22, over 32 operating points with total mass inventory ranging from 0.22 to 22 lbm (0.10 to 10
kg). Agreement on total charge of + 10% was found, except for two points where the actual charge was underpredicted
by about 15%. Some other comparisons were also made to specific heat exchanger tests, which suggested that the
Hughmark method may tend to overpredict mass flux effects.
From the analysis presented here, it seems possible that such good agreement on total charge could have resulted in
some part from canceling errors due to possible overprediction of condenser charge from the Hughmark method
combined with underprediction of condenser charge from the constant heat flux assumption (and/or underprediction of
the fraction of the condenser occupied by subcooled liquid). Similar results could possibly have been obtained with the
Tandon or Premoli methods and a tube-by-tube model using heat flux assumption 3 or 4 for each tube. However, the
results of Otaki certainly suggest that the higher predicting methods are likely to obtain better overall agreement. It is
unproven whether this is due to better agreement in the two-phase region of the heat exchangers or because of heat
exchanger inventory overprediction, which compensates for some- consistent relitive underprediction elsewhere in the
vapor compression system.
l
Recently, investigators have reported efforts to weigh the refrigerant charge in various individual components or
sections of operating heat pumps under steady-state [Miller 1986 ] and dynamic conditions [Belth and Tree 19861. These
data, as available, could be used to further assess which of the methods presented here predict most accurately both
absolute heat exchanger charge (compared to Figures 7 and 8) and relative condenser to evaporator charge (compared to
Table 4).
Design Use of Inventory Results
-.d, ---, Even though the specific preferred charge inventory method cannot be selected based on existing data, the indications
are that the Hughmark, Premoli, Tandon, and Baroczy methods are leading candidates. Assuming perhaps the Premoli
method as a reasonable average, Figure 8 and Table 4 could be used alone for charge inventory design considerations.
Given assumptions cm indoor and outdoor coil internal volumes and single-phase refrigerant fractions (especially the
subcooled condenser fraction), the required charge for heating and cooling conditions can be estimated. Necessary means
to reduce or eliminate charge inventory imbalance between heating and cooling (perhaps by adjusting indoor/outdoor coil
internal volume) could be studied, as could the effectiveness of various means to reduce total system charge.
Accumulators and receivers could be sized as a result of these considerations and those of conditions during defrost cycle
operation [Otaki and Yoshii 19751.
Effect on Steady-State Off-Design Predictions
For steady-state modeling purposes, the charge inventory calculation can be used as a way to constrain system
operating conditions to be consistent with the requirement of a single fixed refrigerant charge. Without such a
requirement, there can be regions of operation where simplifying assumptions, such as a fixed degree of compressor inlet
superheat, become inadequate. Proper off-design prediction of systems employing valves whose opening is dependent on
the level of superheat (TXVs and PWMs) especially require use of some type of charge inventory analysis [Stoecker
19811.
Experience to date of the author! and others [notably Domanski and Didion (1983) and also Ahrens (1983)] suggests
that absolute accuracy in charge prediction may be more important for dynamic heat pump models than for steady-state
off-design predictions. For capillary tube systems with accumulators, close agreement in absolute charge prediction does
not appear necessary for good off-design prediction [t; Domanski and Didion 19831, provided the predicted charge is
l
Otaki [ 19731 did account for solubility of refrigerant in the compressor oil.
tOngoing work on use of a charge inventory model with a steady-state heat pump design program [Fischer and Rice
19831 capable of handling capillary tubes, short-tube orifices, and TXV and PWM type expansion valves with or without
accumulators.
353
calibrated to a known compressor inlet superheat condition at a cooling mode design point. More analysis is needed to see
over what ranges and what flow control devices this calibration adjustment can be expected to suffice. Some
considerations for evaluating off-design prediction accuracy with different charge inventory models include:
-
the degree of effect of significantly different indoor and outdoor coil volumes on proportionality of charge
distribution between heating and cooling modes, (i.e., are the off-design predictions as accurate when one
coil has much more internal volume than the other);
- the degree of effect on valve openings in systems that control on superheat level, e.g., TXVs, TEVs, and
PWMs;
- the degree of effect in systems that are capacity modulated over wide flow ranges;
- the possible use of an additional calibration adjustment to heating-mode design condition.
Obviously, the more confidence that can be shown in the absolute agreement of a given method, the less are the concerns
for the generality and accuracy of off-design predictions. However, given the level of uncertainty shown by Figure 7, a
weak dependence of off-design predictions on the accuracy in predicting the absolute amount of charge would certainly
be desirable.
Effect on Transient Model Predictions
For dynamic modeling, the need for accurate prediction of the amount of refrigerant in each coil seems more
inescapable. Here the off-cycle transient phenomena (and probably reverse-cycle, as well) are directly tied to the time
required for refrigerant to flow into or out of the heat exchangers and adjoining accumulators and receivers, starting
from the steady-state charge distribution [Murphy 19861. Since there is this more direct interrelationship, it perhaps
would be possible to use the comparison between predicted and measured off-cycle transient behavior as a means to
determine the preferred void fraction model. These findings could be checked against absolute inventory data such as that
of Belth and Tree [ 19861 and Miller [ 19861 for initial confirmation. This approach could avoid the need for involved
component inventory measurements for each system against which inventory models were to be tested.
CONCLUSIONS
In summary, the following conclusions were reached.
1. The choice of two-phase void fraction model is of major significance in determining the absolute charge in
condensers and evaporators, especially the latter. Figures 7 and 8 can be used as a guide to the inventory predictions of
the various models. The fraction of the condenser occupied by subcooling and the relative size of the condenser and
evaporator must also be considered in determining the effect on total charge prediction.
2. The choice of heat flux assumption is insignificant for forced convection evaporators and of secondary to possibly
equal importance to choice of void fraction model for condensers. Ranges of possible effects are quantified in Figures 11
and 12.
3. Literature comparisons with experimental data suggest that the highest predicting void fraction models for
condensers (where most charge is located), such as Hughmark, Premoli, Tandon, and Baroczy, will give closest
agreement for total system charge. There are not sufficient data and independent comparisons at present to confidently
recommend any one method. However, the Premoli method gives an approximate average of the above methods. The
Hughmark method has been reported by one researcher to give good results.
4. For those currently using the homogeneous method, a switch at least to the Zivi method would be recommended
on the basis of simplicity, since it has the same functional dependences and requires only a minor change to implement.
Furthermore, for a constant heat flux assumption, the weighting factors
Ws
and
WJ
can be evaluated analytically
[Wedekind 19771, thereby saving significantly in computational time.
5. Modeling experience to date suggests that off-design
steady-state
performance prediction may not be critically
dependent on the absolute accuracy of charge predictions. The degree to which charge calibration to design conditions is
sufficient for off-design prediction requires further study for the complete range of flow control types, relative heat
exchanger sizes, and modulating conditions.
354
-
_
6. Accurate off-cycle and reverse-cycle
dynamic
predictions are expected to be most strongly dependent on accurate
steady-state charge distribution predictions. Comparison of measured system off-cycle transient characteristics to
predictions using the various inventory models is suggested as one approach to inventory method selection. This would be
easier to perform for a variety of systems (and less system intrusive) than direct heat exchanger charge weighing for
different systems.
It is hoped that this survey analysis will stimulate more open discussion and research on charge-inventory-related
topics in the HVAC community. More understanding of this aspect of heat pump modeling is seen as a prerequisite to
more extensive design consideration of flow control and charge inventory interactions, especially for modulating heat
pumps now under development. It is believed that accurate transient modeling will require better knowledge of the
charge inventory distribution than currently exists. A better understanding of control and refrigerant accumulator
requirements during transient operation relates directly to improved equipment reliability through the avoidance or
minimization of undesirable compressor operating conditions.
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ACKNOWLEDGMENTS
The author would like to acknowledge the assistance of K. H. Zimmerman in the development of the figures and tables
used herein. Helpful discussions and references provided by researchers in private industry as well as P. Domanski of the
National Bureau of Standards are gratefully acknowledged. Appreciation is also expressed to R. D. Ellison, now retired
from ORNL, for his support during the early stages of this work.
This research was sponsored by the Office of Buildings and Community Systems, U.S. Department of Energy under
contract DE-AC05-840R21400 with Martin Marietta Energy Systems, Inc.
357
APPENDIX A
REFERENCE EQUATIONS FOR THE MASS-FLUX-DEPENDENT VOID
FRACl2ON CORRELATIONS
Tandon
The void fraction equations of Tandon et al. [ 19851 are given by:
CY = [1 - 1.928 ReL-0.315
/F(X,,) -I- 0.9293 ReL-0.63/F(X11)2] , for 50 < ReL < 1125 ,
or
a = [l - 0.38 ReL-*~***/F(Xtr) i- 0.0361 ReL-0~‘76/F(X,,)2] , for ReL > 1125 ,
where
F(X,,) = 0.15( l/X,, + 2.85/X,,“.476) ,
GDi
Premoli
The equations of Premoli et al. [ 19711 are given in terms of the slip ratio S to be applied to Equation 12.
S=l+Fl Y
I I
w
1 + YF2 - yF2 7
where
F1 = 1.578 ReL-o“9(pf/Pg)0.22 ,
F2 = 0.0273
W~~ReL-o.5’(p~/pg)-o.08 ,
Y B
= 1-p’
and
ReL =
WeL =
a =
gc =
B =
GDi
liquid Reynolds number, - ,
G2Z
liquid Weber number, - ,
UPf 8c
surface tension,
gravitational constant,
volumetric quality, 1 + [&][$]
Hughmark
The equations for the Hughmark method involve use of another form of the homogeneous equation (Equation ll),
i.e.,
KH
a-
I I
= KFSB ,
1+
l--x P.Z.,
x
358
where
KH
is the added dependence differentiating from the homogeneous equation where
KH
= 1. The Hughmark flow
parameter
KH
is dependent on the correlating parameter Z, i.e.,
KH
= f(Z), in the manner given by Table A.l.
The parameter Z is in turn dependent on a viscosity-averaged, a-weighted Reynolds number, Re,, the Froude number
Fr,
and the liquid volume fraction yL, i.e.,
Z Re,‘j6
Fr ‘b
=
yL'/4
’
where
Re, =
DiG
Pf + &g - Pf) ’
V2
Fr = -
1 Gx2
=--
goi
I I
gDi PPg ’
1
YL =
I 1
=1-B.
1+ x-
pr
1 - x Pg
Combimng terms, 2 can be written as
z= DiG
Pf + ‘y (Pg - Pff)
This equation for Z is used with
KH = f(Z) , from Table A. 1,
and
to iteratively* evaluate (Y as f
(K~,x,B,~f,~~,p*,G,Di).
For a given saturation condition the property dependence is eliminated and this reduces to cy = f
(x,G,Di).
*Because of the need for iteration, the Hughmark method is the most difficult method to use of those considered here.
359
_.-
“^
TABLE 1
Slip Ratios S for Property Index Values
P.Z. 2
Generalized from Thorn’s Steam-Water Data [ 19641
P.z.2
0.00116 0.0154 0.0375 0.0878 0.187 0.446 1.0
S 6.45 2.48 1.92 1.57 1.35 1.15 1.00
TABLE 2
Various Property Ratio Indices for a Representative Range
of R-22 Saturation Temperatures for Heat Pump Operation
-20 (-28.9) 0 (-17.8) 30 (-1.1) 45 (7.2) 90 (32.2) 110 (43.3) 130 (54.4)
P.I., 0.00559 0.00869
0.0159 0.0210 0.0462 0.065 0.091
PIIPg
28.0 24.3 20.0 18.2 13.9 12.5 11.02
P.I.,
0.0109 0.0165 0.0289 0.0376 0.0782 0.107 0.146
TABLE 3
Generalized Liquid Fraction Correlation of Baroczy,
f,-n(X) = f(X,,,P.Z.
2)
PI.2
0.01 0.04 0.1 0.2 0.5 1 3 5 10 30 100
Liquid Fraction (1 - a)
0.00002
0.0001
0.0004
0.001
0.004
0.01
0.04
0.10
1.0
0.0015
0.0022 0.0072
0.0018 0.0066 0.0170
0.0043 0.0165 0.0370
0.0050 0.0210 0.0475
0.0056 0.0250 0.0590
0.0058 0.0268 0.0640
0.0060 0.0280 0.0720
0.0012 0.009
0.0054 0.030
0.180 0.066
0.0345 0.091
0.0650 0.134
0.0840 0.165
0.1050 0.215
0.1170 0.242
0.1400 0.320
0.068
0.104
0.142
0.170
0.222
0.262
0.330
0.380
0.500
0.17 0.22 0.30 0.47
0.23 0.29 0.38 0.57
0.28 0.35 0.45 0.67
0.32 0.40 0.50 0.72
0.39 0.48 0.58 0.80
0.44 0.53 0.63 0.84
0.53 0.63 0.72 0.90
0.60 0.70 0.78 0.92
0.75 0.85 0.90 0.94
360
0.71
0.79
0.85
0.88
0.92
0.94
0.96
0.98
0.994
TABLE 4
Comparison of Predicted Condenser to Evaporator Two-Phase
Inventory Ratios for Typical Heat Pump Conditions
Evaporator/Condenser Temperatures
Void Fraction
Method
Homogeneous
Thorn
Zivi
Smith
Baroczy
Premoli (mid G)
O/90 W 30/l 10 (F)
45/130(F)
-17.8/32.2 ("C)
- 1.1/43.3 (‘-2) 7.2/54.4 (“C)
Ptp,cond / Prp,e~ap~‘~
7.46 5.25 4.95
5.52 4.10 3.94
4.29 3.31 3.13
3.60 2.92 2.86
3.39 2.74 2.53
Tandon (mid G) 2.53 2.25 2.25
Lockhart-Martinelli 2.49 2.21 2.21
Hughmark (mid G)
Hughmark (low G)
‘Constant heat flux,
2.17 1.91 1.92
1.82 1.72 1.74
evaporator quality interval of 0.2 to 1.0,
condenser quality interval of 0.0 to 1.0.
b
ptp
= average two-phase R-22 density.
TABLE A.1
Hughmark Flow Parameter
K
as a Function of
Z,
KH = j-(Z)
Z
KH
1.3 0.185
1.5 0.225
2.0 0.325
3.0 0.49
4.0 0.605
5.0 0.675
6.0 0.72
8.0 0.767
10 0.78
15 0.808
20 0.83
40 0.88
70 0.93
130 0.98
361
0.7
u 0.6
=
z
0.5
F
8
E 0.4
cl
g 3
r4 i 0.3
0.2
0.1
0
SCALE
CHANGE
TSAT = 5°F I-WC)
H -HOMOGENEOUS
T - THOM
8 - BAROCZY
L-M - LOCKHART-MARTINELLI
HM - HUGHMARK
low G - 2 x lo4 Ibm/h ft2 (2.712 x 10’ kg/r. m2J
mid G - 1 x 1051bm/h. ft2 (1.356 x 102kg/r. m2)
HM- low G
0 0.05 0.10 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 0 0.05 0.10 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
MASS QUALITY X MASS QUALITY X
Figure 1. Comparison of local R-22 liquid fraction
(holdup) predictions at a low ambient,
heating-mode, evaporator condition
0.8
0.7
u
’ 0.6
‘-
f3
F 0.5
2
E
n 0.4
5
a
i 0.3
0.2
0.1
0
N
SCALE
CHANGE
TSAT = 130 ‘F (54.4”C)
H -HOMOGENEOUS
T -THOM
\
6 -8AROCZY
L-M - LOCKHART - MARTINELLI
low G - 2x lo4 lbmlh ft2 (2.712 x 10’ kg/r. m2)
mud G - 1 x lo5 Ibm/h ft2 (1.356 x lo2 kg/s. rn2)
Figure 2. Comparison of local R-22 liquid fraction
(holdup) predictions
at
a high ambient,
cooling-mode, condenser condition
_-
-
0
(,Hl”Jql) AllSN3Cl lNVkl301~33~ XVHd-OMl 3OVElAV
g8z $ Ei
0
c co (0 P cu
0 co (D 9
@WJql) AlISNilCl iNVEl9lkl33ki 3SVHd-OMl 39VtlMV
(lWlO1 SIl03N3DOWOH 01 Cl3ZIlVWk!ON)
ssvw zz-t( 3AllvlnWn3
(lVlO1 XHVWHDflH 0103ZIlVW~ON)
ssvw 22-M 3huvinwn3
363
80 1
R-22 SATURATtON TEMPERATURE (“Cl R-22 SATUUATfON TEMPERATURE (“C)
60 t
FORG.DEPENDENTCURVES
UPPER BOUNDARY IS low G = 2 X 1041bm/h- ft2
(2 712 X lO’kg/s-m’)
LOWER BOUNDARY IS high G = 5 X lo5 Ibm/h-11’
(6.761 X lO*kg/s-m*)
Constant heal flux (I0 -. 1)
QualIly range 01 0 0 to 1 0
0 10 20 30 40 50 60 70 80 SO 100 110 120 130
R-22 SATURATION TEMPERATURE (“F)
Figure 5. Range of R-22 two-phase density predictions
for mass-flux-dependent void fraction models:
fg = 1 and x = 0.0 to 1.0
PURE LIOUID
1
-80
low G = 2 X 1041bm/h-f12 (2.712 X lO’kg/s-I+?
mid G = 1 X 1051bm/h-ff* (1.356 X lO’kg/s-m2)
L-
high G = 5 X 1051bm/h-11’ (6 761 X lo* kg/s-&
60
- 40
- 20
- 10
- 6
- 6
- 4
- 2
4p 8
psi
A-----.-----.---.
Constant heat flux (lo = 1)
Quality range Of 0 0 to 1 .o
l.l
0 10 20 30 40 50 60 70 130 SO 100 110 120 130
R-22 SATURATION TEMPERATURE (“F)
- 40
- 20
Figure 6. Summary of R-22 two-phase density predic-
tions: fQ = 1 and x = 0.0 to 1.0
R-22 SATURATION TEMPERATURE (“0
PURE LIOUID
----I---y- 1
2 Y’ lo4 Ibm,h+2(2.712 X lO’kg/s-m’)
hfgh G = 5 X lo5 lbm,h-lt*(6.781 Z IO’kgis-m2)
+ EVAPORATOR --+ +-CONDENSER
4
-
QUALITY RANGE OF 0 2 TO 10 QUALITY RANGE OF 0 0 TO 10
2t
0 10 20 30 40 50 60 70 80 90 100 110 120 130
R-22 SATURATION TEMPERATURE (“F)
80
60 - 800
-
I- 80 g
4 i% %
z -60 ,Tj
P -
- 40
2
Figure 7. Summary of R-22 two-phase density predic-
tions: fQ = 1 and x = 0.2 to 1.0
R-22 SATURATION TEMPERATURE (“0
- 10 0 10 20 30 40 50
I I I I 1 I I
mid G = 1 X 1051bmih- ft2(l.356X 10’ kg/s-m*)
I-
EVAPORATOR --F/ + CONDENSER --j
QUALITY RANGE OF 0 2 TO 1.0 OUALITY RANGE OF 0.0 TO 1.0
/
Constant heal flux 0, i 1)
1-L-I-I- -A--- -
0 10 20 30 40 50 60 70 80 90 100 110 120 130
R-22 SATURATION TEMPERATURE (“F)
100
80
1
loo0
60
800
Figure 8. Supplemental comparisons of R-22 two-phase
density predictions:
fQ
= 1 and x = 0.2
to 1.0
Q 0 K 9 0
d ti
~Pv44/1/
Idh ‘8013Wj L)NllH313M kiOlWOdVA3 lV301
F
a
366
100
80
60
2
1
R-22 SATURATION TEMPERATURE (“C)
- 10 0 10 20 30 40 50
HEAT FLUX ASSUMPTIONS: VOID FRACTION METHOD:
l.f, = 1 - - - HUGHMARK
2. lo = IJ, - HOMOGENEOUS
3. fQ = UT
4. f, = I -e-NT” fggg
: -.--I
---====z=
==--
4
, --- _---
l-
EVAPORATOR - -I I+ CONDENSER -I
x = 02to10 x - 0.0t01.0
-____ --..-
2
3
4
1
:, 1’”
0 ‘0 20 30 40 50 60 70 80 90 100 110 120 130
R-22 SATURATION TEMPERATURE Y’F)
Figure tl. Effect of heat flux assumption on R-22 two-
phase density predictions: low G values,
x = 0.2 to 1.0 for evaporator and 0.0 to 1.0
for condenser
Figure 12.
R-22 SATURATION TEMPERATURE (“C)
30 40 50 60 30 40 50 60
I f 1 I I I ,
HEAT FLUX ASSUMPTIONS: VOID FRACTION METHOD:
l.fQ = 1 - - - HUGHMARK
2. f. = u, - HOMOGENEOUS
3. f,J = u,
4. f, = ,-e-NT”
CONDENSER+/ ’ k CONDENSER 4
x=o.oto1.o x=0.010 1.0
, 1 I I I I
90 110 130 90 110 130
R-22 SATURATION TEMPERATURE (“F)
Effect of heat flux assumption on R-22 two-
phase density predictions: mid to high G
values, condenser only
I
I
I
ACT10
TECHNICAL AND SYMPOSIUM PAPERS
PRESENTED AT THE
1987 WINTER M”EETING
IN iJEW YORK, NEW YORK
OF THE
AMERICAN SOCIETY OF-HEATING, REFRIGERATING
AND AIR-CONDITIONING ENGINEERS, INC.
1987
VOLUME 93, PART 1
l,lost Chapter: NewYork.. ............................................................................ x
Program Committee and Transactions Staff. ..............................................................
State of the Society Report by Frederick H. Kohloss ....................................................... i
Plenary Address by Donna R. Fitzpatrick ...................................................................
XIII
Abstracts
3013
3014
3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
@
3036
3037
3038
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
xvi
TECHNICAL PAPERS
FIRST TECHNICAL SESSION
Resistance to Flow of Round Galvanized Ducts (RP-383) by E.I. Griggs, W.B. Swim, and G.H. Henderson 3
Evaluation of Numerical Methods for Ductwork and Pipeline Optimization by R.J. Tsal and MS. Adler . . . . 17
Thermodynamic Properties of Lithium Bromide/Water Solutions by K.E. Herold and M.J. Moran . . . . . . . . 35
Effects of the Natural Convection in a Partially Supercooled Water Cell on the Release of Supercooling by T.
Kashiwagi, S. Itoh, Y. Kurosaki, and S. Hirose.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , . 49
Effectiveness of Finned-Tube Heat Exchanger Coated Hydrophilic-Type Film by M. Mimaki . . . . . . . . . . . . ., 62
SECOND TECHNICAL SESSION
Climatic Indicators for Estimating Residential Heating and Cooling Loads by J. Huang, R.L. Ritschard, J.C. Bull,
and L. Chang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
Estimation of Average-Day Solar Heat Gain Factors by A.S. Lau . . . . . . . . . . . . . . . . . . . . . . . . 112
Experimental Study of Heat Transfer in Attics with a Small-Scale Simulator by S. Katipamula, D. O’Neal, W.D.
Turner,andW.E. Murphy.................................................................... 122
A Simplified Estimation Method in Calculating Coolit@ and Heating Degree Hours by HT. Lin, K.H. Yang, and
R.C.Su . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135
Experimental Determination of the Z-Transfer Function Coefficients for Houses by S.A. Barakat . . . . . . 146
THIRD TECHNICAL SESSION
Demand-Controlled Economizers by S.T. Tom and K.H. Hawks , . . . . . . . . . . . . . . . . . . . . . . . . 162
Measurement of Combustion Products from Kerosene Space Heaters in a Two-Story House by G.T. Tamura 173
Research Requirements in the Evaporative Cooling Field by R.H. Turner and F.C. Chen . . . . . . . . . . . . . 185
Operating Experience of Plant Sizing and Controls by R.W. John and AC. Salvidge. . . . . : . . . . . . . . . . , . 197
Application of Numerical Simulation for Residential Room Air Conditioning by K. Yamazaki, M. Komatsu, and
M.Otsubo................................................................................ 210
FOURTH TECHNICAL SESSION
Precision and Correlation of In$truments that Measure Heat Transfer through Windows by M. Grasso, l?E. Horridge,
E. Woodson, and S. Khan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
The Impact of Glazing Orientation, Tilt, and Area on the Energy Performance of Room Apertures by J.W. Place,
J.P. Coutier, M.R. Fontoynont, R.C. Kammerud, B. Andersson, W.L. Carroll, M.A. Wahlig, F.S. Bauman, and T.L.
Webster.................................................................,................. 238
The Experimentally Measured Performance of a Linear Roof Aperture Daylighting System by ES. Bauman, J.W.
Place, B. Andersson, J. Thornton, and T.C. Howard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259
A Study of the Effects of Window Night Insulation and Low-Emissivity Coating on Heating Load and Comfort
by A.K. Athienitis and J.D. Dale . . . . . . . . . . . . . . . . . . . . . , . . . . . . . . . . . . . . . . . _ . . . . . . 279
Efficiency of a Solar Collector with Internal Boiling by D.A. Neeper. . . . . . . . . . . . . . . . . . . . . . . . . . 295
Experiences with Heat Meters for Evaluating Performance of Active Solar Energy Systems by G.R. Guinn, Sr.
and R.Quick . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..~................................. 310
FIFTH TECHNICAL SESSION
Characterizing Losses in Reversing Valves: Heat Transfer Losses by G. Damasceno, H. Nguyen, W. Lee, V.W.
Goldschmidt, and L. White . . , . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .‘. . . . . . . . . . . . . . . . . . 327
The Effect of Void Fraction Correlation and Heat Flux Assumption on Refrigerant Charge Inventory Predictions
byC.K. Rice.................................................................,............ 34
CD
An Analysis of Choked Flow Conditions in a Capillary Tube-Suction Line Heat Exchanger by M.B. Pate and D.R. Tree 368
Predicting Vibration and Noise Generated from Refrigerator Tubes by K. Nakanishi, K. Nagayasu, and T. Suzuki 381
A Survey of Refrigerant Heat Transfer and Pressure Drop Emljhasizing Oil Effects and In-Tube Augmentation
(RP-469) by L.M. Schlager, M.B. Pate, and A.E. Bergles . . . . . . . . . . : . . . . . . . . . . . . . . , . . . . . . 392
V
