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i n t e r n a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3
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Calculations on performance characteristics of counterflowreversibly used cooling towers
Quan Zhang a,b, Jiasheng Wua,b, Guoqiang Zhang a,b,*, Jin Zhou a,b, Yonghui Guo a,b,Wei Shen a,b
aCollege of Civil Engineering, Hunan University, Changsha 410082, ChinabKey Lab of Building Safety and Energy Efficiency, Hunan University, Ministry of Education, China
a r t i c l e i n f o
Article history:
Received 1 August 2011
Received in revised form
23 October 2011
Accepted 29 October 2011
Available online 6 November 2011
Keywords:
Cooling tower
Reversible
Counterflow
Heating
Heat transfer
Mass transfer
Numerical analysis
* Corresponding author. College of Civil Engi88821005.
E-mail address: [email protected] (G. Zh0140-7007/$ e see front matter ª 2011 Elsevdoi:10.1016/j.ijrefrig.2011.10.016
a b s t r a c t
This paper aims at developing an analytical model for the coupled heat and mass transfer
processes in a counterflow Reversibly Used Cooling Tower (RUCT) based on operating
conditions, which is more realistic than most conventionally adopted Merkel approxima-
tions. Temperature and moisture content differences are chosen as the driving forces of
heat and mass transfer correspondingly and a system of specific difference equations is
developed to solve the model more efficiently. The model is investigated by using an
iterative algorithm, which is validated with the experimental data reported. The analytical
model also accommodates the direct and quick calculation of air and water temperature
profiles, moisture content of air and the water mass flow rate change along the vertical
length of the RUCT. With the aid of the developed model, the thermal behavior of the
counterflow RUCT under various operating and environmental conditions is also studied in
this paper. The results reveal that the proposed model can provide a theoretical foundation
for practical design and performance evaluation of counterflow RUCT.
ª 2011 Elsevier Ltd and IIR. All rights reserved.
Calcul des caracteristiques de performance des tours derefroidissement reversibles a contre-courant
Mots cles : Tour de refroidissement ; Reversible ; Contre-courant ; Chauffage ; Transfert de chaleur ; Transfert de masse ; Analyse
numerique
neering, Hunan University, Changsha 410082, China. Tel.: þ86 731 88825398; fax: þ86 731
ang).ier Ltd and IIR. All rights reserved.
Nomenclature
A area (m2)
Patm atmospheric pressure (kPa)
a surface area per unit volume (m�1)
cp specific heat at constant pressure (J kg�1 K�1)
cda specific heat of dry air (J kg�1 K�1)
cv specific heat of water vapor (J kg�1 K�1)
cp,a specific heat of moist air (J kg�1 K�1)
ma mass flow rate of moist air (kg s�1)
mda mass flow rate of dry air (kg s�1)
mw mass flow rate of water (kg s�1)
mw,i mass flow rate of inlet water (kg s�1)
mw,o mass flow rate of outlet water (kg s�1)
hc heat transfer coefficient (W m�2 K�1)
hm mass transfer coefficient (kg m�2 s�1)
i specific enthalpy (J kg�1)
isv(Tw) specific enthalpy of water vapor condensating to
the water (J kg�1)
L length (m)
H width (m)
Z width (m)
Q heat absorption capacity (kW)
T temperature (�C)Ta air temperature (�C)Ta,i air inlet temperature (�C)Ta,o air outlet temperature (�C)Twb,i wet bulb temperature of the inlet air (�C)Tw water temperature (�C)Tw,i water inlet temperature (�C)Tw,o water outlet temperature (�C)ua humidity ratio of saturated moist air (kgw kgda
�1)
us humidity ratio of saturated moist air at water
temperature (kgw kgda�1)
ua,i air inlet humidity ratio (kgw kgda�1)
ua,o air outlet humidity ratio (kgw kgda�1)
r0 latent heat of condensation of water at 0 �C (J kg�1)
rw(Tw) latent heat of condensation of water at water
temperature (J kg�1)
r correlation coefficient (dimensionless)
R2 absolute fraction of variance (dimensionless)
RMSE root mean square error
ANN Artificial Neural Network
Le Lewis number
Greek symbols
u humidity ratio (kgw kgda�1)
h heating efficiency (dimensionless)
Subscripts
a moist air
da dry air
db dry-bulb
wb wet-bulb
s saturation
c convective
i inlet
o outlet
v water vapor
sv saturated water vapor
w water
Superscripts
i the ith control unit
j the jth control unit
i n t e rn a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3 425
1. Introduction
Mechanical draft cooling towers are generally employed in
large scale air-conditioning systems to release the heat
withdrawn from the building (Hajidavalloo et al., 2010; Jin
et al., 2007; Khan et al., 2003; Lemouari and Boumaza, 2010).
However, a mechanical draft cooling tower may also be
reversibly used as part of a heat pump system extracting free
heat from ambient air in cold seasons to generate hot water
for buildings (Deng et al., 1998). Recently, a number of new
desuperheater heat recovery systems that include a Revers-
ibly Used Cooling Tower (RUCT) have been installed in Main-
land China, and have been operating satisfactorily for several
years (Song et al., 2011; Wu et al., 2011a; Zhang et al., 2010).
The heat and mass transfer characteristics of a standard
water cooling tower have been well understood and docu-
mented when it is normally used to dissipate heat to the
atmosphere (Al-Waked and Behnia, 2006; Heidarinejad et al.,
2009; Klimanek and Bialecki, 2009; Milosavljevic and
Heikkila, 2001; Ren, 2008). However, when it is operated in
a reverse mode to extract heat from the ambient air as part of
a heat pump system for hot water supply, its operational
characteristics are expected to be significantly different from
that of a standard water cooling tower, and should be
investigated (Tan and Deng, 2002; Wen et al., 2011). These
differences include reduced latent heat exchange and
increased chilled water flow rate when chilled water exits
from a RUCT. Previous related work included carrying out an
extensive literature review on applying desuperheater to
recover heat for hot water supply (Tan, 2000) and for devel-
oping an analytical method for evaluating the heat and mass
transfer characteristics in a RUCT (Tan and Deng, 2002).
Furthermore, field experimental results from a RUCT installed
in a sub-tropical region in China indicated that the developed
method could be used to evaluate the thermal performance of
the RUCT with an acceptable error. However, this method
cannot be used to determine the air and water states at any
intermediate horizontal sections along the vertical length of
the RUCT. Tan andDeng (2003) presented a numerical analysis
by which the air and water states at any horizontal sections
along the tower height may be determined. The numerical
analysis is based on the heat and mass exchange within the
tower, which was also partially validated by the on-site
experimental data. However, they did not consider the effect
of Lewis number, and the results are only applicable to Lewis
number equal to one. Wu et al. (2011b) presented an Artificial
Neural Network (ANN) model that can be used effectively to
predict the performance characteristics of the RUCT under
i n t e r n a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3426
cross flow conditions, providing a theoretical basis on the
research of heat and mass transfer inside RUCT. To under-
stand the heating process and the related heat and mass
exchanges for accessing optimal operating conditions, it is
necessary to develop a realistic model for predicting the
thermal behavior of the counterflow RUCT.
The objective of this paper is to develop a model for anal-
ysis of the combined heat andmass transfers in a counterflow
RUCT. In this model, the effects of Lewis number, the aire-
water interface temperature, the variation of water mass flow
rate, and the effect of water vapor condensation on the air
process states, and along the vertical length of the RUCT are
considered together. Furthermore, a comparison of analytical
and numerical results will be provided, which reveals good
agreements with experimental data reported by Tan andDeng
(2002). The proposed model will also be used to analyze the
distribution of the water and air temperatures inside the
RUCT aswell as the air humidity and to predict the quantity of
the water gain during the condensation phase. Finally, the
thermal behavior of the RUCT under various operating and
environmental conditions is also studied.
2. Mathematical model and solution ofcounterflow heat and mass transfer process
In a counterflow RUCT, inside of the tower is packed with
packing material providing a large surface area for heat and
mass transfer from air to water droplets, as shown in Fig. 1,
the chilled water to be heated is sprayed into an upward
flowing air stream using a number of nozzles. The nozzles are
arranged in such a way that the water is uniformly distributed
over the fill material. Due to heat and mass transfer, the
temperature of water is increased while the air enthalpy
decreases because the air is cooled and dehumidified by the
water as it flows up.
2.1. Assumptions
The theoretical model of the RUCT is based on the following
assumptions and simplifications:
Fig. 1 e Schematic of heat andmass transfer in counterflow
RUCT.
1. The thermal effects of the RUCT packing material are
negligible.
2. Both air andwater inlet flow rates are steady and uniform.
3. Both the air and chilled water have constant physical
properties.
4. The interface of contact between the water and air is
considerable.
5. No thermal losses from all sides of the RUCT.
6. Temperature has no influence on the transfer coefficients.
7. Thermal dispersion effects are negligible in both air and
chilled water domains.
8. Operating parameters of the RUCT are varying only in the
vertical direction.
9. The variation of water mass flow due to condensation
cannot be neglected.
10. The interface temperature between water film and air is
assumed to be equal to the water film temperature.
2.2. Governing equations of heat and mass transfer inthe RUCT
The driving potential for mass transfer is the humidity ratio
difference between the saturated air at the airewater inter-
face and the moist air, thus dmw can be written as
dmw ¼ hmðua � usÞdA (1)
where us is the humidity of air at the water temperature, ua is
the air humidity in the bulk air flow and hm is mass transfer
coefficient.
On the other hand, the quantity of water vapor con-
densated is equal to the air flowmultiplied by the air humidity
variation. The air side water-vapor mass balance can be
written as (Stabat and Marchio, 2004)
�mdadua ¼ hmðua � usÞdA (2)
At steady-state conditions, the energy balance between air
and water, including condensation, is given by the following
relation
�mdacdaTa;iþmdaua;i
�cvTa;iþr0
���½mdacdaTa;oþmdaua;oðcvTa;oþr0Þ�¼mdadua
�cvTw;iþr0
�þhcðTa�TwÞdA(3)
Then, equation (3) can be reduced as�cdamdaTa;i þ cvmdaua;iTa;i
�� ðcdamdaTa;o þ cvmdaua;oTa;oÞ¼ cvmdaduaTw;i þ hcðTa � TwÞdA (4)
The energy transferred from the air to water due to conden-
sation of mass and heat convection is balanced with the
increase of the enthalpy of the water
cwmw;oTw;o � cwmw;iTw;i ¼ hcðTa � TwÞdAþ dmwisvðTwÞ (5)
dQ ¼ hcðTa � TwÞdAþ dmwhsvðTwÞ (6)
where isv(Tw) is the enthalpy of water vapor condensating to
the water. This quantity is evaluated at the bulk water
temperature Tw and can be expressed as
isvðTwÞ ¼ cwTw þ rwðTwÞ (7)
i n t e rn a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3 427
Substituting equation (7) into energy balance equation (5)
produces
cwmw;i
�Tw;o � Tw;i
�þ cwðTw;o � TwÞdmw
¼ hcðTa � TwÞdAþ rwðTwÞdmw (8)
By substituting Tw,i for Tw into equation (8), we can obtain
cwmw;i
�Tw;o�Tw;i
�þcw�Tw;o�Tw;i
�dmw
¼hcðTa�TwÞdAþrwðTwÞdmw (9)
By substituting dTw¼Tw;o�Tw;i into equation (9), we can obtain
cwmw;i
�Tw;o�Tw;i
�þcwdmwdTw¼hcðTa�TwÞdAþrwðTwÞdmw (10)
dmwdTw is infinitesimal of higher order, which is negligible.
Equation (10) is then modified to
cwmw;i
�Tw;o � Tw;i
� ¼ hcðTa � TwÞdAþ rwðTwÞdmw (11)
The water and air energy balance in terms of the heat and
mass transfer coefficients is given by equation (11).
The equations (1), (2), (4) and (11) are the basic heat and
mass transfer equations between water and air in a counter-
flow RUCT. The heat transfer coefficient hc and mass transfer
coefficient hm reflect the intensity of the thermal-hydraulic
process within the RUCT, which can be calculated as follows
(Wang et al., 2010)
hc ¼cp;a,ma,
�Ta;i � Ta;o
�ðTa;av � Tw;avÞ,A (12)
Ta;av ¼ �Ta;i þ Ta;o
��2 (13)
Tw;av ¼ �Tw;i þ Tw;o
��2 (14)
cp;a ¼ 1:005þ 1:842,ua (15)
where ua is the moisture content of inlet air stream deter-
mined by air inlet dry and wet bulb temperature.
hm ¼ mw
k,V
ZTw;i
Tw;o
cwh00 � h
dT (16)
Fig. 2 e Directions of water and air flows, divided segment
of padding.
where “h” is the enthalpy of saturated water vapor evaluated
at Tw, k is a coefficient determined by Tw,o and is resulted from
water vapor condensated from the tower which can also get
a portion of heat. The expression of k for the whole tower is
given by Shi (1990)
k ¼ 1� cp;w,Tw;o
586� 0:56ðTw;o � 20Þ (17)
2.3. Numerical method
To depict air and water temperature profiles, moisture
content of air and the water mass flow rate change within the
RUCT, as shown in Fig. 2, we divided the whole process into
finite sections, each with an area of dA. Sectionm is filled with
water which enters the section at the temperature of Twi and
exit at Twiþ1. Section n is filled with water at the inlet temper-
ature of Twj and outlet temperature of Tw
jþ1, which has no
influence on computational results as operating parameters of
the counterflow RUCT vary only in the vertical direction. In
each stage, an iterative computation is developed in each
differential section according to the initial conditions. The
governing equations could be cast in the form of differential
equations and solved by a finite difference method (Hao et al.,
2003; Qi et al., 2007). In each differential section, the outlet
parameter can be obtained according to the inlet parameter.
After solving all steps, we can get the condition parameter of
the water and air in each position. Only if the step length is
short enough and in the vertical direction, the method is
dependable. In each step, the foregoing equations can be
discretized and solved using the finite difference method.
Eventually, water temperature, water mass flow rate and
moisture content for the air at each spot within the counter-
flow RUCT can be obtained.
The conservation equations are accompanied with two
relationships describing the kinetics of condensation through
the airewater interface of the water film. The area of the
interface is
dA ¼ Ai;j ¼ Ln� Hm
(18)
The equations (1)e(2), (4) and (11) can be reformulated as
miþ1;jw �mi;j
w ¼ hm
�ui;j
a � ui;js
�Ai;j (19)
mda
�uiþ1;j
a � ui;ja
� ¼ hm
�ui;j
a � ui;js
�Ai;j (20)
�cdamdaT
iþ1;ja þ cvmdau
iþ1;ja Tiþ1;j
a
���cdamdaT
i;ja þ cvmdau
i;ja T
i;ja
�
¼ cvmda
�uiþ1;j
a � ui;ja
�Ti;jw þ hc
�Ti;ja � Ti;j
w
�Ai;j (21)
cwmi;jw
�Tiþ1;jw � Ti;j
w
�¼ hc
�Ti;ja � Ti;j
w
�Ai;j þ ri;jw
�miþ1;j
w �mi;jw
�(22)
The number of model equations above (equations (19)e(22))
is four, but the number of variables is six, and because the
humidity ratio of saturated moist air at water temperature us
and latent heat of condensation of water at water temperature
rw are the function of Tw (Hao et al., 2003), the function relation
to us, rw and Tw must be obtained by simulation. It is known
that humidity ratio of saturated moist air and latent heat of
Table 1 e Comparison of the measured and calculatedresults obtainedwithmethod by Tan andDeng (2002) andpresented approach.
La Ga Tdba Twb
a Tw,ia Ta,o
a Tw,oa Tw,o
b Db Tw,oc Dc Lec
kg/s kg/s �C �C �C �C �C �C �C �C �C
1.48 9.2 11.8 10.7 7.3 9.8 8.7 8.93 0.23 8.98 0.28 0.91
1.48 9.2 15.2 13.5 7.5 11.8 10.0 10.58 0.58 10.78 0.78 0.91
1.48 9.7 17.5 16.6 7.6 14.8 12.5 12.93 0.43 12.88 0.38 0.91
1.48 9.9 21.7 20.7 7.6 18.4 17.6 16.02 1.58 15.63 1.97 0.91
1.48 10.2 25.5 23.5 7.2 20.4 18.3 18.37 0.07 18.36 0.06 0.91
2.22 9.0 11.8 10.7 7.5 9.5 8.6 8.86 0.26 8.70 0.10 0.91
2.22 9.0 15.2 13.5 7.8 11.4 9.8 10.38 0.58 10.60 0.80 0.91
2.22 9.3 17.5 16.6 7.9 14.1 12.4 12.47 0.07 12.74 0.34 0.91
2.22 9.5 21.7 20.7 8.3 17.5 17.0 15.51 1.49 15.64 1.36 0.91
2.22 9.9 25.5 23.5 7.8 19.7 17.9 17.54 0.36 17.47 0.43 0.91
2.96 8.7 11.8 10.7 7.6 9.2 8.4 8.80 0.4 8.50 0.10 0.91
2.96 8.8 15.2 13.5 8.0 11.0 9.7 10.29 0.59 10.33 0.63 0.91
2.96 9.0 17.5 16.6 8.1 13.8 12.4 12.18 0.22 12.42 0.02 0.91
2.96 9.0 21.7 20.7 9.4 16.8 16.4 15.55 0.85 15.94 0.46 0.91
2.96 9.3 25.5 23.5 8.9 18.6 17.5 17.37 0.13 17.84 0.34 0.91
3.70 8.5 11.8 10.7 7.8 9.0 8.5 8.84 0.34 8.47 0.03 0.90
3.70 8.3 15.2 13.5 8.5 10.9 9.5 10.45 0.95 10.17 0.67 0.90
3.70 8.4 17.5 16.6 8.7 12.8 12.9 12.26 0.64 13.09 0.19 0.90
3.70 8.5 21.7 20.7 11.1 16.1 16.5 16.16 0.34 16.90 0.40 0.91
3.70 9.0 25.5 23.5 10.2 17.8 17.6 17.63 0.03 18.43 0.83 0.91
4.44 8.5 11.8 10.7 8.2 9.0 8.8 9.05 0.25 9.21 0.41 0.90
4.44 8.0 15.2 13.5 8.9 10.5 9.6 10.60 1.00 10.29 0.69 0.90
4.44 7.9 17.5 16.6 9.8 13.0 13.0 12.74 0.26 13.27 0.27 0.90
4.44 8.1 21.7 20.7 12.0 15.6 16.8 16.40 0.40 17.28 0.48 0.90
4.44 8.6 25.5 23.5 12.2 17.6 17.8 18.39 0.59 18.13 0.33 0.90
a The experimental values by Tan and Deng (2002).
b The calculated values by Tan for the RUCT water outlet
temperature.
c The calculated values by improved model for the RUCT water
outlet temperature.
i n t e r n a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3428
evaporation of water at water temperature are related to
temperature as well as pressure, leading to difficulty in three
dimensions regression. However, generally pressure of the
tower is 101.325 kPa, which makes the usage of two dimen-
sions regress feasible. Two regression equations related to us,
rw and Tw, obtained by Matlab software at the pressure of
101.325 kPa and thewater temperature between 0 �C and 60 �C,
are as follows
ui;js ¼
h0:0144
�Ti;jw
�4�0:7461
�Ti;jw
�3þ33:6887
�Ti;jw
�2þ50:0495 Ti;j
w
þ 4266:8615i� 10�3 ð23Þ
ri;jw ¼h� 2:377
�Ti;jw
�þ 2500:6737
i� 103 (24)
The accuracy of the results obtained from regression
formulas is evaluated through comparison between the
calculated values and the standard values in ASHRAE
Handbook (2009a, 2009b). Therein, the results of us obtained
from equation (23) yield a correlation coefficient (r) of 0.9999,
an absolute fraction of variance (R2) of 0.9999 and a Root Mean
Square Error (RMSE) of 0.23 g kg�1 with the standard values
(ASHRAE Handbook, 2009a). And an r of 0.9999, a R2 of 0.9999
and an RMSE of 0.34 kJ kg�1 are revealed between rw obtained
from equation (24) and the standard values (ASHRAE
Handbook, 2009b).
Combining equations (19)e(24) gives
miþ1;jw ¼ mi;j
w þ hm
�ui;j
a � ui;js
�Ai;j (25)
uiþ1;ja ¼ ui;j
a þ hm
mda
�ui;j
a � ui;js
�Ai;j (26)
Tiþ1;ja ¼
�cdaþcvu
i;ja
�mdaT
i;ja þcvmda
�u
iþ1;ja �u
i;ja
�Ti;jwþhc
�Ti;ja �Ti;j
w
�Ai;j
�cdaþcvu
iþ1;ja
�mda
(27)
Tiþ1;jw ¼ Ti;j
w þhc
�Ti;ja � Ti;j
w
�Ai;j þ ri;jw
�miþ1;j
w �mi;jw
�
cwmi;jw
(28)
Equations (25)e(28) are iteratively solved from top to bottomof
the counterflow RUCT.
3. Model validation
To validate the proposed model, the outputs of the improved
model are compared with model provided by Tan and Deng
(2002). The experimental parameters of the RUCT are given
as follows:
Table 1 lists the calculated value of water outlet tempera-
tures (Tw,ob ) by Tan and (Tw,o
c ) by improved model at various
chilled water flow rates under five different inlet air temper-
atures. Furthermore, Table 1 also lists the measured water
outlet temperatures (Tw,oa ) from the field experimental work on
the RUCT by Tan and Deng (2002). Results of Lewis number
ðLe ¼ hc=ðhm,cdaÞÞ are also presented in Table 1, in order to
demonstrate the improvement of accuracy with the analytical
procedure presented in this paper implemented. The results
reveal that Lewis number varies from 0.90 to 0.91.
The accuracy of the model was evaluated based on the
regression analysis between the calculated values and the
experimental values. Figs. 3 and 4 present the comparison
between the experimental values and calculated values by
twomodels respectively. In order to depict the accuracy of the
models, Figs. 3 and 4 are provided with a straight line indi-
cating perfect prediction and a �5% error band. As shown in
Fig. 3, the calculated water outlet temperatures by Tan yield
an r of 0.9885, a R2 of 0.9772, and an RMSE of 0.53 �C with the
experimental data. Comparison of the RUCT water outlet
temperatures by proposed model with experimental data is
showed in Fig. 4. For this parameter, the improved model
yields an r of 0.9862, a R2 of 0.9726 and an RMSE of 0.60 �C with
the experimental data. According to the Figs. 3 and 4, the
results of two models are almost the same.
However, the accuracy of current model is slightly lower
than that of the model proposed by Tan and Deng (2003). In
order to simplify the calculation of the current model, it
assumes that water side heat transfer resistance in the RUCT
can be neglected and the watereair interface temperature is
approximately equal to water temperature. Therefore, the
enthalpy of saturated air at interface is evaluated at water
temperature. However, in the model proposed by Tan and
Fig. 3 e The calculated values by Tan for the RUCT water
outlet temperature vs. the experimental values.
i n t e rn a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3 429
Deng (2003), the water side heat transfer resistance is signifi-
cant and cannot be neglected. The hypothesis is proposed that
the interface temperature is an algebraic average of the bulk
air temperature and the bulk water temperature. The slight
discrepancy should be due to the application of different
integration techniques, the governing differential equations
of the counterflow RUCT are discretized by finite difference
method in this research. Another source of discrepancy may
be different functions representing temperature dependence
Fig. 4 e The improved model calculated values for the
RUCT water outlet temperature vs. the experimental
values.
of specific heats and saturation pressure. However, presented
validation of heat and mass transfer model conducted on the
entire counterflow RUCT analysis show good agreement
between data obtained with the model proposed by Tan and
Deng (2003) and the proposed approach. This confirms that
the proposed approach is properly implemented and equiva-
lent to the Tan and Deng (2003) analysis and can also predict
the performance of the RUCT very well.
In summary, the advantages of the proposed model are
simple, flexible, relative accurate, and easy for engineering
applications.
4. Results and discussion
4.1. Performance characteristics of the counterflowRUCT
Heat absorption capacity and heating efficiency of the RUCT
are adopted to describe the heat and mass transfer perfor-
mance (Wu et al., 2011b). In a counterflow RUCT analysis, the
heat transfer rate obtained by Merkel approach isQ ¼ mwcp;w
�Tw;o � Tw;i
�(29)
where the effect of the change in chilled water mass flow rate
is not considered in the energy balance. If the air is super-
saturated inside the counterflow RUCT, then the mass flow
rate of the condensated water could be determined by the
following equation
mv ¼ mda
�ua;i � ua;o
�(30)
where ua,i and ua,o represent the specific humidity of air at the
entry and the exit of the RUCT.
However, another equation for the heat absorption
capacity, according to the Merkel approach, in which the
water gain, due to condensation, is considered in the energy
equation
Q ¼ mwcp;w�Tw;o � Tw;i
�þmvcpwTw;o (31)
The heating efficiency (h) of the counterflow RUCT, is the ratio
of the actual water temperature variance of the water passing
through the counterflow RUCT to its variation under ideal
conditions, which is
h ¼ Tw;o � Tw;i
Twb;i � Tw;i(32)
where Tw,i and Tw,o are the inlet and outlet water temperature
respectively, Twb,i is the wet bulb temperature of the inlet air
stream, which is also the heating limit of circulating water.
4.2. Detailed numerical analysis within the counterflowRUCT
The proposed analytical model can be used to determine the
water and air states at any intermediate horizontal sections
along the tower height within the counterflow RUCT.
The boundary conditions at the bottom of the RUCT (Z¼H )
are the air inlet temperature (Ta,i ¼ 17.5 �C), inlet humidity
ratio (ua,i ¼ 11.4 gw kgda�1) and the air inlet mass flow rate
(ma,i ¼ 9.0 kg s�1) (Tan and Deng, 2003). The boundary
Fig. 5 e Air and water temperature distributions in the fill. Fig. 7 e Water mass flow rate distribution in the fill.
i n t e r n a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3430
conditions at the top of the RUCT (Z ¼ 0) are the inlet water
temperature (Tw,i ¼ 8.1 �C), and the water inlet mass flow rate
(mw,i¼ 2.96 kg s�1) (Tan andDeng, 2003). The RUCT volume can
be divided randomly. 10 to 20 sections will suffice for the
required accuracy of the calculation results (Ismail and
Mahmoud, 1994; Tan and Deng, 2003). In this study, the
RUCT fill height was equally divided into 10 portions. The
results of the analysis are graphically plotted versus the RUCT
height and shown in Figs. 5e7.
As can be seen from Fig. 5, the temperature of air flowing
upwards steadily decreases to the top, and the temperature of
water increases continuously as it flows downwards to the
bottom so that the heating process continues. Fig. 6 shows the
humidity ratio distributions. The humidity ratio of air flowing
upwards also steadily decreases to the top. The distribution of
the mass flow rate of the water is plotted in Fig. 7, which
increases from the top of the fill to bottom. Since the water
vapor partial pressure at the interface between the air and the
water is lower than the water vapor partial pressure in the air,
there is a transfer of water vapor into the water. This mass
transfer brings a heat transfer related to the condensation,
Fig. 6 e Distribution of air humidity ratio in the fill.
which is called transfer of latent heat. At the same time,
because of the difference in temperature between surface of
the water and the air, there is transfer of heat by convection.
4.3. Effect of inlet parameters on the performance
The proposed analytical model of the heat and mass transfer
process in the RUCTwas verified by applying the experimental
data of Tan (Tan, 2000; Tan and Deng, 2002). The comparison
of the results obtained by proposed method and by Tan
showed very good agreement in the validation computations.
Therefore, the proposed model can be used to predict the
properties of the water outlet temperature, water mass flow
rate change and heating efficiency of the counterflow RUCT
for given design and operating conditions.
The performance of a counterflow RUCT will change with
environmental conditions, which will affect the water outlet
temperature. Investigation of the thermal behavior of the
RUCT at different environmental conditions allows the
prediction of its performance at different atmospheric
conditions. Fig. 8 shows the effect of the air inlet wet bulb
Fig. 8 e Effect of air inlet wet bulb temperature on water
outlet temperature at different watereair flow rate ratios.
Fig. 9 e Effect of air inlet wet bulb temperature on heating
efficiency at different watereair flow rate ratios.
i n t e rn a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3 431
temperature on water outlet temperature at different water-
eair flow rate ratios. Fig. 9 is a plot between heating efficiency
(h) and air inlet wet bulb temperature, for different values of
themass flow rate ratio (mw/ma). Fig. 10 shows the effect of the
air inlet wet bulb temperature on water mass flow rate at
different watereair flow rate ratios. These plots are generated
based on the following input data: Patm ¼ 101.325 kPa;
Tw,i ¼ 7 �C; Ta,i ¼ 20 �C; ma ¼ 8 kg s�1.
As shown in Fig. 8, when the air inlet wet bulb temperature
is 10 �C and mw/ma ¼ 1.5, the RUCT can supply water at
a temperature of 7.73 �C. With an increase of 10 �C in the air
inlet wet bulb temperature (20 �C), the temperature of
the water from the tower increases to 9.70 �C. However, for
mw/ma ¼ 0.5, when the air inlet wet bulb temperature is 10 �C,the supply water temperature is 8.92 �C, then with an increase
of 10 �C in the air inlet wet bulb temperature (20 �C), the water
outlet temperature increases to 13.92 �C. It is obvious that the
water outlet temperature increases as the air inlet wet bulb
temperature increases at different watereair flow rate ratios.
Futhermore, Fig. 8 implies that the changes in watereair flow
Fig. 10 e Effect of air inlet wet bulb temperature on water
mass flow rate at different watereair flow rate ratios.
rate ratio has relatively more effect on water outlet tempera-
ture compared to changes in the air inlet wet bulb tempera-
ture for the same RUCT.
The variation of heating efficiency of the RUCT is shown in
Fig. 9 for the above input simulated data. This figure shows
thatwhen thewatereair flow rate ratio reduces from1.5 to 0.5,
the heating efficiency of the RUCT increases obviously.
However when the watereair flow rate ratio remains
unchanged, the variations of the air inlet wet bulb tempera-
ture have little influence on the value of heating efficiency. On
the other hand, in contrast to the water outlet temperature as
shown in Fig. 8, the changes in watereair flow rate ratio also
have relatively more effect on heating efficiency compared to
changes in the air inlet wet bulb temperature for the same
RUCT.
Fig. 10 offers the opportunity to understand the change of
inlet and outlet of water mass flow rate. At the air inlet of the
RUCT, the incoming moist air meets chilled water from
evaporator. Depending on the dew point temperature of the
entering moist air, it may experience two different processes
in the RUCT (Aya and Nariai, 1991; Celata et al., 1991; Ibrahim
et al., 1995; Lekic and Ford, 1980; Li et al., 2006; Shah et al.,
2010; Song et al., 2009). Basically, the heat and mass transfer
between the moist air and the chilled water in an RUCT
depends on the temperature difference of the two fluids and
the vapor partial pressure difference between the water
surface and the moist air.
As shown in Fig. 10, the RUCT inlet water temperature
remains constant (7 �C) and the air inlet dry-bulb temperature
remains constant (20 �C), the values of the air inlet wet bulb
temperature vary from 20 to 10 �C. Fig. 10 shows that when
mw/ma ¼ 0.5 and mw/ma ¼ 1.5, the increase in the quantity of
condensedwater are 0.027 and 0.032 kg s�1, respectively, given
the air inlet wet bulb temperature is 20 �C. The quantity of
condensed water increases as the mass flow rate ratio
increases.
As the air inlet wet bulb temperature decrease, the reduc-
tion in condensed water quantity is close to zero. This is
reasonable because the temperature of inlet water is close to
dew point temperature of the entering moist air. As the wet
Fig. 11 e Effect of watereair flow rate ratio on heat
absorption capacity at different water inlet temperature.
Fig. 12 e Effect of watereair flow rate ratio on heating
efficiency at different water inlet temperature.
i n t e r n a t i o n a l j o u r n a l o f r e f r i g e r a t i o n 3 5 ( 2 0 1 2 ) 4 2 4e4 3 3432
bulb temperature of inlet air continually decreases, the water
loss continues due to water evaporation. As explained above,
the water vapor condensation in the RUCT occurs when the
inlet water temperature is lower than the air dew point
temperature; otherwise, the evaporation of water occurs.
The heat absorption capacity of the counterflow RUCT
versus watereair flow rate ratios at different water inlet
temperatures is shown in Fig. 11. These plots are generated
based on the following data: Patm ¼ 101.325 kPa; Ta,i ¼ 20 �C;Twb,i ¼ 18 �C; ma ¼ 8 kg s�1. In this case, it demonstrates that
when the watereair flow rate ratio is 0.5, the heat absorption
accomplished by the RUCT is 127.36 kW at a water inlet
temperature of 3 �C, and the heat absorption is 54.60 kW for
a water inlet temperature of 12 �C at the same watereair flow
rate ratio. In conclusion, the rate of heat absorption capacity
continues to decrease at higher water inlet temperatures. In
other words, when the inlet chilled water has a low temper-
ature and relative highwatereair flow rate ratio, the RUCT can
absorb more heat from the air.
Fig. 12 shows the performance of RUCT in terms of heat
absorption efficiency and watereair flow rate ratios at
different water inlet temperatures. The input data used in this
figure is the same as that in Fig. 11. A high degree of the RUCT
effectiveness corresponds to a better heating performance
and higher heat absorption. It can be seen in Fig. 12 that when
the inlet chilled water has a low temperature and high
watereair flow rate ratio, the value of heating efficiency
decreases rapidly.
5. Conclusions
Based on the findings of this work the following conclusions
can be drawn:
1. A more realistic detail mathematical model based on heat
and mass transfer characteristics is found to be practically
applicable to a reversibly used mechanical draft cooling
tower under counterflow conditions for the steady-state
operation. In this model, we have considered the effects
of the airewater interface temperature, the water vapor
condensation, the variation of water mass flow rate along
the vertical length of the RUCT and the non-unity of the
Lewis number.
2. The proposed heat and mass transfer model of RUCT was
validated with the experimental data reported by Tan and
Deng (2002). Furthermore, the comparison between the
results by the proposedmodel and by Tan showed very good
agreement in the validation computations. Furthermore, the
model alsoaccommodates thedirect andquick calculationof
air and water temperature profiles, moisture content of air
and thewatermassflowrate changealong thevertical length
of the RUCT. It can be concluded that themodel developed in
this work can provide a theoretical foundation for practical
design and performance evaluation of counterflow RUCT.
3. When the temperatures of the entering chilled water and
the air dry-bulb are constant, the water outlet temperature
and heating efficiency of the RUCT aremainly controlled by
the mass rate ratio of water and air along with the air inlet
wet bulb temperature. The changes in watereair flow rate
ratio has relatively significant effect on water outlet
temperature and heating efficiency compared to changes in
the air inlet wet bulb temperature. When the temperatures
of the entering air dry-bulb and wet bulb are constant, the
heat absorption capacity and heating efficiency of the RUCT
are mainly controlled by the temperature of the entering
chilled water and the watereair flow rate ratio. With low
temperature inlet water and relative high watereair flow
rate ratio, the RUCT can absorb more heat from the air,
while the heating efficiency decreases.
Acknowledgements
The research reported herein has been carried out with the
help of the National Key Technologies R&D Program of China
during the 11th Five-year Plan Period (No. 2006BAJ04A13) and
Research Project from Guangdong Province (No.
2010B090400301). Besides, we are grateful to Prof. Deng
Shiming and Dr. Tan Kunxiong of Hong Kong Polytechnic
University for their helpful experimental results and sugges-
tions in the mathematical model elaboration, and Dr. Ding Jie
of Texas Tech University for his advice on language expres-
sion. These supports are gratefully acknowledged.
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