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EGG-GTH-5775
July 1981
"WET COOLING TOWERS: 'RULE-OF-THUMB'
DESIGN AND SIMULATION"
Stephen A. Leeper
U.S. Department of Energy
Idaho Operations Office Idaho National Engineering Laboratory
This is an informal report intended for use as a preliminaryor working document
Work supported by the U. S. Department
of Energy Assistant Secretary for Resource
Application, Office of Geothermal, under
DOE Contract No. DE-AC07-76ID01570.
R
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EGG-GTH-5775
EGG-GTH--577 5
DE82 012196
"WET COOLING TOWERS: 'RULE-OF-THUMB' DESIGN AND SIMULATION"
Stephen A. Leeper
July 1981
CONTENTS
Page
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i iABSTRACT
NOMENCLATURE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii i
. . . . . . . . . . . . . . . . . . . . . . . . . . . 1
11. DESIGN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
. . . . . . . . . . . . . . . . . . . . . . 4
I. INTRODUCTION
A. Problem Statement
B. Outlet Air Temperature . . . . . . . . . . . . . . . . . . . . 4
C. Tower Characteristic . . . . . . . . . . . . . . . . . . . . 5
D. Loading Factor . . . . . . . . . . . . . . . . . . . . . . . . 6
E. Tower Dimensions . . . . . . . . . . . . . . . . . . . . . . . 6
7F. Water Consumption . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . 8G. Power Requirements
. . . . . . . . . . . . . . . . . . . . . . . 10H. Cost Estimation
. . . . . . . . . . . . . . . . . . . . . . 1 1I. Sample Calculation
16111. SAMPLE CALCULATION . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19FIGURES 1 . .
24REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
i
Abstract
A survey of wet cooling tower literature was performed t o develop a
simplified method of cooling tower design and simulation for use i n power
p l a n t cycle optimization.
In the report the theory of heat exchange i n wet cooling towers i s
briefly sumnarized.
transfer i n wet cooling towers) i s presented and discussed.
f i l l constant (Ka) i s defined and values derived.
the optimized design of cooling towers is presented.
method provides information useful i n power plant cycle optimization, including
tower dimensions, water consumption rate, exit a i r temperature, power require-
ments and construction cost.
tower performance a t various operating conditions i s presented. This information
is also useful i n power plant cycle evaluation.
The Merkel equation (the fundamental equation of heat
The cooling tower
The rule-of-thumb design
A rule-of-thumb method for
In addition, a method for simulation of cooling
Using the information presented i n this report, i t will be possible t o
incorporate wet cooling tower design and simulation into a procedure t o evaluate
and optimize power plant cycles.
i i
NOMENCLATURE
a -
A -
B -
-
Bd
c -
-cP
D -
E -
F -
G -
h -
H -
-
HP
K -
Ka -
Kav
L
- --
L -
i -
L/G -
M -
P -
Q -
R -
t -
T -
2 3Specific Transfer Surface ( f t TA/ft fill)
Approach (T2 - twb; OF)
2Base Area ( f t g )
B1owdown (1bs HpO/hr)
A constant
Heat Capacity o f Water (Btu/l b°F)
D r i f t ( l b s H20/hr)
Evaporation (1bs H20/hr)
A i r Flow Rate (actual cubic feed per minute; acfm)
A i r Flow Rate (lbs air/hr)
Enthalpy o f A i r (Btu/lb dry a i r )
A i r Humidity ( l b H20/lb dry a i r )
Head of Pump ( f t )
A i r Mass Transfer Constant (lbs a i r / h r ftTA)
Volumetric A i r Mass Transfer Constant (lbs air/hr ftfill)
2
3
Tower Characteristic (1bs a i r / l b H20)
Water Flow Rate ( l b s H20/hr)
Loading Factor (1bs HpO/hr f t i )
Water-Air Flow Rate Ratio (lbs HpO/lb a i r )
Makeup ( l b s H20/hr)
Power (hp)
Heat Load (Btu/hr)
Range (Tl - T2; OF)
A i r Temperature (OF)
Water Temperature (OF)
TC - Tower Characteristic (Kav/c lbs a i r / l b H20)
iii
Page 2
3V - F i l l Volume, Total ( f t f i l l )
B - Specific Fill Volume (ftfil,/ftB)3 2
Z - Fill Height ( f t )
r7 - Fan Efficiency (dimensionless; $0.80)
P - Density (lb/ft3)
$ - Dollars
Subsymbols
-a
B -
calc -
des -
f i l l -
F -
mix -
OP -
P -
sa -
t -
T -
TA -
-W
wb -
1 -
2 -
Ai r
Base Area
Cal cul ated Value
Design
Fill Volume
Fan
Mixture of Air and Water Vapor
Operation
Pump
Saturated Air @ Water Temperature
A i r Temperature
Water Temperature
Transfer Area
Water Vapor
Wet Bulb Temperature
Inlet Condition
Exit Condition
, '
. , ., ...
0
f
i v
I . I NTRODUCTION
c
The design of wet cooling towers is a competitive field of technology, where
design methods and constants are proprietary information.
mate design of cooling towers using rules-of-thumb i s presented and provides
information suitable for use i n power plant cycle optimization, including tower
dimensions, water consumption rate, exit a i r temperature, power requirements
and construction cost.
a t various operating conditions is also presented.
However, the approxi-
A method for the simulation of cooling tower performance
Several types of wet cooling tower exist.
or mechanical draft. Mechanical d r a f t towers can be either forced or induced
draft. Air and water flow can be crosscurrent, countercurrent or both.
fundamentals of wet cooling are presented by McKelvey and Brooke (1). Mechanical
d r a f t cooling towers are the predominate types of cooling towers b u i l t i n the
United States.
subject of this paper.
Wet cooling towers can be natural
The
Therefore, the design of mechanical d r a f t cooling towers is the
In wet cooling towers, a i r and water are intimately mixed to provide heat trans-
fer. Therefore, psychometry is the basis for analysis of heat transfer i n wet
cooling towers. Air-water psychometric data and psychometry theory are pre-
sented i n several references (1, 2, 3 ) .
Heat transfer i n cooling towers occurs by two major mechanisms:
sensible heat from water t o a i r (convection) and transfer of latent heat by
the evaporation of water (diffusion).
air-water boundary layer. The total heat transfer is the sum of these two
boundary layer mechanisms. The total heat transfer can also be expressed i n
terms of the change i n enthalpy of each bulk phase.
boundary layer is equal t o the heat transfer i n the bulk phases.
ulation o f the terms, a fundamental equation o f heat transfer i n cooling towers
(the Merkel equation) i s obtained.
transfer of
Both of these mechanisms operate a t the
The heat transfer a t the
After manip-
1
The Merkel equation, named after F. Merkel who f i r s t derived i t , is:
T14
dT
KaB- = IT,hSa-ha
LcP
The theory of heat transfer i n wet cooling towers i s presented i n several
references (1, 3 , 4, 5).
i s presented by Kern (6). The enthalpy of the a i r stream i s ha. The a i r
stream is i n contact w i t h water a t a different temperature.
saturated a i r a t the water temperature i s hsa. Air does not reach this
enthalpy.
between the enthalpy of saturated a i r a t the water temperature and the
enthalpy of a i r a t the air temperature:
An especially clear derivation of the Merkel equation
The enthalpy of
The driving force i n the Merkel equation (AhDF) i s the difference
-"Driving Force" = AhDF - hsa - ha
Strictly speaking, enthalpy difference is not the driving force i n wet cooling.
The driving force in wet cooling i s actually the difference i n water
pressure between the water and air phases (7).
or design point i s determined by solving the right-hand
The tower
equation.
The Merkel equation i s presented differently by various authors.
the Merkel equation, care i s required to determine the units required by K.
As defined above, K i s an a i r mass transfer constant.
the water mass transfer constant (2) or the convective heat transfer coeffi-
cient (5). Also, C i s frequently left out of the Merkel equation since i t s
P
value i %1.0, a convention adopted i n this paper. The units of C cannot be
overlooked , however.
Before using
In other sources, K i s
P
The mass and heat transfer characteristics of cooling tower f i l l are described
by Ka, a volumetric mass transfer constant.
the wetted f i l l surface and on the surface of the drops. As a result, the
specific mass transfer surface (a) i s difficult to measure.
i s regarded as a single constant.
Mass and heat transfer occur on
Therefore, Ka
Ka i s a measure of the mass and heat
2
transfer rate through the boundary layer per u n i t of f i l l volume.
values of Ka reflect better mass and heat transfer characteristics of f i l l .
Larger
Cooling tower and f i l l vendors do not release values of Ka. However, Ka
values can be determined by back-calculation for existing towers.
towers built by Research-Cottrell (8), Ka values are between 64 and 140 w i t h
an average value of 95 -+ 35 (two standard deviations).
cooling towers (9), values of Ka varied from 49 to 152 w i t h 100 -+ 30 as the
average value. For conventional types of cooling tower f i l l , a Ka value of
100 gives reasonable f i l l heights (6, p.601).
as defined i n the above form of the Merkel equation.
constant, b u t is a complex function of several operating variables.
remain relatively constant over normal operating variable ranges.
For 16 cooling
For 39 Marley Company
This value of Ka applies to Ka
Ka is not strictly a
Ka does
1
Detailed design of cooling towers is a trial and error iterative procedure.
Once a set of design conditions is defined, designs are performed a t several
outlet a i r temperatures.
Optimization requires a trade-off between operating and construction costs.
More detailed discussions of cooling tower optimization for use w i t h power
plants can be found i n Dickey (9) and Clark (10).
These designs are compared to determine the optimum.
3
11. DESIGN PROCEDURE
A. Problem Statement
For a given cooling tower design, the quantity o'f water to be treat-
temperature (T2) is specified. The difference between the inlet&and
outlet water temperatures is the range (R). An ambient wet-bulb
temperature '(twb;tl)is chosen for design, such that i t is exceeded
only three to five percent of the time. The difference between the
wet-bulb temperature and the outlet water temperature is the approach (A).
The outlet water temperature approaches the air wet-bulb temperature,
which is the limiting temperature t o which-water can be cooled. Gen-
erally, cooling towers are designed with an approach of 10 to 15 de-
grees (Fahrenheit).
ed ( L ) and its inlet temperature (T1) are known. The outlet water i
.
The approach is seldom less than five degrees.
B. Outlet Air Temperature (t,)/Water-AirL Flow Rate Ratio (L/G).
For a given set of cooling tower design conditions, an optimum de-
sign (outlet a i r temperature/water-air flow rate ratio) exists.
optimum design will result i n minimum construction and operating
costs. A good correlation exists between the optimum outlet air
temperature and the inlet and outlet water temperatures:
The
- T1+ T2
2
t2 -
As is apparent i n Figures 1 (1, p.177) and 2 (9), the approximated
outlet air temperature is very close t o the actual design outlet air
temperature. The approximation for the outlet a i r temperature can
be used as a first guess for a detailed design or may be considered
as the optimum outlet air temperature i n a rule-of-thumb design.
When the approximation is used, air flow rate will be w i t h i n -+lo%
of the optimum design i n most cases.
4
Water is evaporated during the wet cooling process. For each 10°F
drop i n water temperature, approximately 1.0% of the treated water
evaporates ( 3 , p.757).
However, the evaporation rate i s small and i s commonly neglected,
yielding the following energy balance (11, p.589):
The water flow rate is not strictly constant.
The outlet a i r is usually saturated a t the outlet air temperature.
The enthalpies of the inlet and outlet are as found from a table
or chart of psychometric data. Therefore, by specifying an outlet
a i r temperature, the water-air flow rate ratio i s fixed.
c. Tower Characteristic
The tower characteristic is determined from the Merkel
equation:
Kaa - i' dT
- -
hsa - ha
-
L
T2
The right-hand side of the Merkel equation i s difficult t o integrate
directly because hsa - h is difficult to express explicitly i n terms
of T.
Simpson's rule (see sample calculation). The most commonly used computer
solution i s the Tchebycheff method (2, p.12-13). A nomograph is
also available for estimation of the tower characteristic (2, p.12-14).
a
However, i t can be graphically integrated or solved by
5
D. Loading Factor
The loading factor (L), specific water flow r a t e or water flow r a t e
density is the recommended water flow r a t e per u n i t of tower cross-
sectional area (base area; B). Through experience w i t h various types
of f i l l , optimum loading factors have been determined a s a function of
design wet-bul b temperature, range and approach.
cooling jobs (large range and/or close approach), a low loading factor
i s required and visa versa. Two graphical methods are presented f o r
determining the loading factor (Figures 3, 4, 5 and Figure 6).
4
For d i f f i c u l t
The loading factors determined from these two methods agree well,
but a r e lower than the loading factors used w i t h presently-used
fills.
available, however.
termined from the available, older loading factors. Therefore, the
available, older loading factors must be used when calculations are
performed using the recommended value o f Ka.
Methods f o r determining modern loading factors a r e not
The back-calculated value of Ka (100) was de-
E. Tower Dimensions
The required f i l l height (2) is equal t o the specific volume (q
and is determined from the tower characteristic:
The required base area o r cross-sectional area (B) is:
B = L / i
A larger loading factor will result i n both a smaller tower height
and i n a smaller base area. The f i l l volume (V) is:
V = B x Z
6
F. Water Consumption
Wet cooling towers consume water i n three major ways: evaporation,
d r i f t and blowdown. The evaporation r a t e ( E ) is approximately 1.0%
of the water flow rate
Drift (D) refers t o water which leaves the cooling tower entrained
i n the exiting a i r and is approximately 0.2% of the water flow r a t e
(3, p.757).
i n the cooling water.
system, and replaced by fresh water, t o prevent sol ids/chemicals
buildup i n the cooling water.
of the evaporation r a t e and depends upon the solids/chemicals con-
centration which can be tolerated i n the process i n which the cooling
water is being used and the solids/chemicals concentration of the
makeup water. Blowdown is usually about 20% of the evaporation rate.
Makeup (M) water is required t o replace the consumed water:
per each 10°F of cooling range ( 3 , p.757).
As water evaporates, sol ids and chemicals concentrate
Blowdown (Bd) is the water removed from the
Blowdown is expressed a s a percentage
Water Consumption Rate = M = E + D + Bd
E = .001 x R x L
D = ,002 L
M = (.0012 R + .002) L
The evaporation r a t e can also be determined from a mass balance
around the a i r stream:
E = (H2 - HI) G
In this case,
M = 1.26 (H2 - H1) + .002 L
7
This second method of determining the evaporation rate is more
accurate than the first method, but the first method is easier to
use because it involves fewer variables.
G. Power Requirements
Pump power (P ) is determined from the following equation:
P
L x H
--
6pp 1.98 x 1: x TI
The head (H ) is difficult to determine. Dickey (8, p.12) recommends
a 75 foot head.
75 foot head i s two t o two and a h a l f 'times greater than the require-
ment obtained from other approximations.
present the following approximation:
P
However, the power requirement obtained with a
McKelvey and Brooke (1, p. 178)
Fill Heiqht (Ft.)
20-24
24-28
hp/1000 gpm
7
8.5
hp/106 1bs/hr
14
17
The power requirements obtained from the above approximations tend
to be low.
head has been found to be:
From an analysis of data, a good estimate of the pump
Hp = Z + 10
This equation is convenient and allows the tower height to affect
the pump power requirements.
8
Fan power requirements can be estimated from the following approxima-
tions presented by McKelvey and Brooke (1, p.178):
Fill Heiqht ( f t . ) hp/1000 gpm hp/106 1bs/hr
20-24
24-28
14
12
28
24
Fan power requirements can also be estimated from the volume of
moist a i r moved by the fan.
of the inlet a i r is used i n the calculation. For induced draft
towers, use the volume of the exit air.
required for each 8,000 actual cubic feet of a i r per minute (acfm)
moved by the fan (1, p.178), the fan power is approximated from the
following formula:
For forced draft towers, the volume
Assuming that one hp i s
F
-
pF - 8,000 ’
where PF = Fan Power (hp)
F = Air Flow Rate (acfm)
Ht = Air Humidity @ t (lbs HpO/lb dry a i r )
G = Air Flow Rate (lbs air/hr)
P m i x , t = Density of Moist Air (3 t (lbs/ft3)
Pa,t
P W , t
42.6439
t + 460
--
= Density of Water Vapor (3 t (lbs/ft3)
-- 26.6525
H ( t + 460)
t
9
a r e derived from
w , tThe formulas f o r calculation of p
the ideal gas law.
w i t h data reported by Research - Cottrell (11).
and p
a ,t
The assumption of 1 hp/8,000 acfm is consistent
The total power is obtained by adding fan power and pump power.
McKelvey and Brooke (1, p.179) present a method f o r approximating
total power requirements from range, appoach, design wet-bul b temper-
ature and water flow rate.
H. Cost Estimation
Zanker (12) has derived an equation f o r the estimation o f cooling
tower construction cost:
Q--
$1967 C x A + 39.2R - 586
= 1967 dollars
where $1967
Q = Total Heat Load (Btu/hr)
R = Range (OF)
A = Approach ( O F )
279
C =
[1 t 0.0335 (85 - twb)1.143]
= Design Wet-Bul b Temperaturetwb
Multiplication of 1967 dollars by 2.7 [l.0813] will approximately
correct t o 1980 dollars.
Dickey (9) presents a method f o r estimation of cooling tower con-
struction costs. From analysis of 39 cooling towers b u i l t by
10
Marley Co, cooling tower construction cost was found t o be $14.45
(1978 dollars) per cooling tower u n i t (TU).
units in a given cooling tower are found as follows:
The number of tower
TU = Water Flow Rate (gpm) x Rating Factor. .
The rating factor is a measure of the cooling job difficulty.
the 39 Marley Co. cooling towers, a linear relationship (correlation
coefficient = .9844) was found between the Rating Factor and the
tower characteristic (TC) :
For
Rating Factor = .9964 x TC - .3843
A method of estimating cooling tower cost from the tower character-
i s t i c is therefore:
14.45~
-- L ( .9964 x TC - -3843)
$1978 500
To convert from 1978 dollars to 1980 dollars, multiply by 1.4.
the tower characteristic equation, a separate construction cost is
obtained for each design (outlet a i r temperature); whereas, the
Zanker equation yields only one cost for each set of design con-
ditions.
From
I. Sample Calculation (Example 1)
6Design a cooling tower to cool 120,000 gpm (60 x 10 lbs/hr) from
119'F to 89OF, when the wet-bulb temperature i s 75OF. Also, estimate
water consumption rate, power requirements and construction cost.
Assume Ka equals 100.
11
Solu t ion :
Estimate outlet a i r temperature (t2)and t/G:
= 104OF
T1+ T2
-
2t2 -
+(104°F, sat'd) = 79.31 Btu/lb dry air
= 75OF) = 38.62 Btu/lb dry a i r
hl(twb
79.31 - 38.62
(1.0)(119 - 89)
= 1.36--h2 - h l
L
G Cp (TI - T2)
Calculate tower characteristic by the Simpson rule.
range into five equal sections o f 6OF each, then
Divide
79.31 - 38.62
- = 8.139 Btu/lb air.
Aha - - 5
89 54.85 38.62 16.23 .0616
95 63.34 46.76 16.58 .0603
101 73.58 54.90 18.68 .0535
107 85.59 63.04 22.55 .0443
113 99.74 71.18 28.57 .0350
119 116.50 79.31 37.19 .0269
.2816
Ave = .0469
KaB 1
(T ) ~ ~ ~ ~= R x (hsa- ha) = 30 x .0469 = 1.408
ave
12
Determine the loading factor:
-
L = 2.75 gpm/fti
= 1375 lbS/hr/ftB2
Determine the tower dimensions:
1.408 x 13751KaV 1 L
- = 19.4 ft.x - -
100= Idc Ka
2
B = L / i = 120,000/2.75 = 43,636 ftg
3V = B x Z = 844,740 f t f i l l
13
Estimate pump power:
= Z + 10 = 29.4 f t .
H P
L x Hp (60 x lo6), 29.4
2 1100 hp---
pp 1.98 x lo6 TI - (1.98 x lO6)x(.8O)
Estimate fan power (Induced draft; t2 = 104OF):
42.6439
P -- = .0756 lbs/ft3
a , t t2 + 460
Ht = .0491 lbs H20/lb air
26.6525
P -- = .9624 1bs/ft3
w , t (t + 4 6 0 ) ~Ht
(1 + H t ) G
'mix,t
6 3F = = 10.52 x 10 acfm ( f t /min)
60
= 1300 hp
F
8000
-
'F -
Total power requirement is approximately 2400 hp.
14
Estimate construction cost:
6
14*45 L (.9964 x TC - .3843) = 1.77 x 10 dollars--
$1978 500
Estimate water consumption:
M = (.0012R + .002) L
6
= 3.36 x 10 lbs/hr
= 6720 gpm
15
I I I. SIMULATION CALCULATIONS
Cooling towers operate most of the time a t conditions different than their
design conditions.
ditions i s important i n the optimization o f power plant cycles. A change i n
one operation parameter changes the performance of the tower.
calculations are required t o determine the new operating state.
Prediction of cooling tower performance a t various con-
Simulation
The parameter which changes most often is the ambient wet-bulb temperature.
A change i n the wet-bulb temperature will affect the range and the approach
of the tower, but the tower characteristic - wi 11 remain unchanged.
The air flow rate i s also frequently changed by reducing the fan speed.
When the a i r flow rate i s changed, not only i s the approach affected, b u t the
tower characteristic is also changed. Water flow rate also affects the tower
characteristic. A change in the inlet water temperature does not affect the
tower characteristic, but does change the approach and can change the range.
(K;)
The tower characteristic (‘p-) i s a function of L/G by the following
re1ationship:
or
16
The slope (M) i s approximately equal t o -0.6 for most conditions (13, p.2.8).
If one point on the line is known (for instance,
the intercept (logloC) can be calculated and C determined.
mined, the tower characteristic can be determined for other L/G. The above
equation i s accurate w i t h i n the following range: - x (k)d;s TCdes
Mathematical solutions t o simulation problems must be solved by trial-and-error.
Two examples of arithmetically solved simulation problems are given below.
The solution of simulation problems using Cooling Tower Institute Performance
Curves (14) is given by the Cooling Tower Institute (15, 16).
KaV-
L
a t design L/G),
Once C is deter-
1 < - X ( k )3 .
des2 2
Example 2
A cooling tower is designed to cool 8950 gpm (4.475 x lo6 lbs/hr) from llO°F
t o 84OF ( R = 26) a t a wet-bulb temperature of 69OF (A = 15OF) w i t h a tower
characteristic of 1.49 (L/G = 1.30 and t2 = 97.3OF).
ature drops t o 6OoF, what will T1 and T2 be f o r L/G and range held constant?
When the wet-bulb temper-
Solution (Trial and Error)
hl (twb = 6OOF) = 26.46 Btu/lb a i r
Guess 1: T2 = 75OF (T1 = 101OF)
L
- T2) = 60.26 Btu/lb a i r
hsa (T = 75, sat'd) = 38.62 Btu/lb
(T = 101, sat'd) = 73.58 Btu/lbhsa
dT
hsa - ha
= 2.34
17
Guess 2: T2 = 8OoF (TI = 106OF)
h2 = 60.26OF
(F)= 1.43
2
Guess 3: Interpolation - T2 = 79OF (T1 = 105OF)
h2 = 60.26OF
(F)= 1.56
3
Guess 4: Interpolation - T p = 79.5OF (TI = 105.5OF)
h2 = 60.26OF
('<)4 = 1.49
0
0 0 T2 = 79.5OF and T1 = 105.5OF
Example 3
Consider the above cooling tower.
approximately 40% reduction i n a i r flow rate), what will T1 and T2 be
for twb = 6OoF and the range held constant?
If the fan rpm i s reduced 50% (an
18
Solution: (Trial and Error)
1.30
(:)op = &(:)des .60
= 2.17-- -
c = x (;>”des
= 1.7442
M
(F)op= C x(:) = 1.096
OP
dT
hsa - ha
0.0 1.096 = i1
T2
Solve by t r i a l and error a s i n Example 2.
T2 = 89.6OF and T1 = 115.6OF.
19
L L
0
I
110
a, 100
aJ
c,
c,
c
c,
J
na
O 90
L 70
60
b 50
aJ
c,
la
aJ
m
la
>
50 60 70 80 90 100 110
Air outlet temp., OF
FIGURE 1: Average o f water inlet and outlet
temperature vs. Design a i r outlet
[From McKelvey & Brook (1, p.17711
20
S
07
.C
v)
aJ
U
..(u
c,
I1
Q
Q
5
m
cu
c,
0
m
0
co
aJ
L
3
L)
5
L
aJ
Q
E
Q)
c1
.V
v)
>5
c,
aJa
LU
s
L).
..(u
21
35
30
25
LI,
0
QI 20
15
0,
S
lu
cc
10
200 400 600 800 1000 1200 _ _ _ . -
I
! l b
sq. ft/1000 U.S. gpm
FIGURE 3: 6OoF wet bulb - Design chart
for mechanical draft
Approach
[YOo15' 10' 5O
35
LL 300
e
aJ
CEI 25
20
z
15
10
towers
200 400 600 800 1000 1200.
sq. ft./1000 U.S. gpm
FIGURE 4: 70° wet bulb - Design chart
for mechanical draft towers
22
Approach
r I
I
0 0 I1 20' 15' 10 5
I
200 400 600 800 1000 1200
sq/ft.
FIGURE 5: 80' wet bulb - Design chart
f o r mechanical d r a f t towers
I 1000 U.S. gpm
FIGURE 6: Loading Factor (Water Concentration)
Determination Chart f o r Induced-Draf t
Cooling Towers
23
REFERENCES
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
K. K. McKelvey and M. Brooke, The Industrial Cooling Tower, Elsevier
Publishing Co., Amsterdam, 1959.
E. Bagnoli,
Evaporative Cooling, Air Conditioning and Refrigeration," Chemical
Engineers Handbook 5th Ed., R. H. Perry and C. H. Chilton, Editors,
McGraw-Hill Book Co., New York , 1973.
F. H. Fuller, V. J. Johnson and R. W. Norris, "Psychometry,
W. L. McCabe and J. C. Smith, Unit Operations of Chemical Engineering
3rd Ed., McGraw-Hill Book Co., New York, 1976.
W. S. Norman, Absorption, Distillation and Cooling Towers, Longmans,
Green and Co. , Ltd., London, 1961.
B. Woods and P. Betts, "A Temperature-Total Heat Diagram for Cooling
Tower Calculations, No. I," The Engineer 189 (4912), 337 (1950).
D. Q. Kern, Process Heat Transfer, McGraw-Hill Book Co., New York, 1950.
W. Gloyer, "Review o f Cooling Tower Calculation," Cooling Tower Institute -#TP-l94A, January 1978.
Research-Cottrell (Hamon Cooling Tower Division) U. S. Installation List,
1980; Obtained from Mr. Allen J. George, P. 0. Box 1500, Somerville, NJ
08876 (201) 685-4045.
J. B. Dickey, "Managing Waste Heat with the Water Cooling Tower, 3rd Ed.,"
Marley Cooling Tower Co., Mission, Kansas 66202, 1978.
S. D. Clark, "Sizing Cooling Towers to Optimize Plant Performance,"
Cooling Tower Institute - #TP-218A, January 1980.
Research-Cottrell (Hamon Cooling Tower Division), "Mechanical Draft
Cooling Tower Construction,'' Bound Brook, New Jersey 08805; data on the
city of Tallahassee's Arvah B. Hopkins Unit #2 given inside front cover,
1976.
A. Zanker, "Coolin Tawer Costs from Operating Data," Calculation and
Shortcut Handbook 907-X), McGraw-Hill Book Co., New York, pp.47-48.
Cooling 'Tower Institute, "Chapter 2: Basic Concepts of Cooling Tower
Operation," Cooling Tower Manual , Cooling Tower Institute, Houston,
Texas 77037, January 1977.
Cooling Tower Institute, Cooling Tower Performance Curves, 1967.
Cooling Tower Institute, "Acceptance Test Code for Water-Cooling Towers,"
CTI #ATC-105, February 1975.
Cooling Tower Institute, "Chapter 3:
Cooling Tower Manual, January 1977.
Cooling Tower Performance Variables,"
24

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Cooling tower calculation (1) (1)

  • 1. EGG-GTH-5775 July 1981 "WET COOLING TOWERS: 'RULE-OF-THUMB' DESIGN AND SIMULATION" Stephen A. Leeper U.S. Department of Energy Idaho Operations Office Idaho National Engineering Laboratory This is an informal report intended for use as a preliminaryor working document Work supported by the U. S. Department of Energy Assistant Secretary for Resource Application, Office of Geothermal, under DOE Contract No. DE-AC07-76ID01570. R https://plus.google.com/+ChemicalEngineeringCourses/posts https://plus.google.com/+ChemicalEngineeringAspenTech/posts
  • 2. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency Thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.
  • 3. DISCLAIMER Portions of this document may be illegible in electronic image products. Images are produced from the best available original document.
  • 4. EGG-GTH-5775 EGG-GTH--577 5 DE82 012196 "WET COOLING TOWERS: 'RULE-OF-THUMB' DESIGN AND SIMULATION" Stephen A. Leeper July 1981
  • 5. CONTENTS Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i iABSTRACT NOMENCLATURE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii i . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 11. DESIGN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 . . . . . . . . . . . . . . . . . . . . . . 4 I. INTRODUCTION A. Problem Statement B. Outlet Air Temperature . . . . . . . . . . . . . . . . . . . . 4 C. Tower Characteristic . . . . . . . . . . . . . . . . . . . . 5 D. Loading Factor . . . . . . . . . . . . . . . . . . . . . . . . 6 E. Tower Dimensions . . . . . . . . . . . . . . . . . . . . . . . 6 7F. Water Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8G. Power Requirements . . . . . . . . . . . . . . . . . . . . . . . 10H. Cost Estimation . . . . . . . . . . . . . . . . . . . . . . 1 1I. Sample Calculation 16111. SAMPLE CALCULATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19FIGURES 1 . . 24REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
  • 6. Abstract A survey of wet cooling tower literature was performed t o develop a simplified method of cooling tower design and simulation for use i n power p l a n t cycle optimization. In the report the theory of heat exchange i n wet cooling towers i s briefly sumnarized. transfer i n wet cooling towers) i s presented and discussed. f i l l constant (Ka) i s defined and values derived. the optimized design of cooling towers is presented. method provides information useful i n power plant cycle optimization, including tower dimensions, water consumption rate, exit a i r temperature, power require- ments and construction cost. tower performance a t various operating conditions i s presented. This information is also useful i n power plant cycle evaluation. The Merkel equation (the fundamental equation of heat The cooling tower The rule-of-thumb design A rule-of-thumb method for In addition, a method for simulation of cooling Using the information presented i n this report, i t will be possible t o incorporate wet cooling tower design and simulation into a procedure t o evaluate and optimize power plant cycles. i i
  • 7. NOMENCLATURE a - A - B - - Bd c - -cP D - E - F - G - h - H - - HP K - Ka - Kav L - -- L - i - L/G - M - P - Q - R - t - T - 2 3Specific Transfer Surface ( f t TA/ft fill) Approach (T2 - twb; OF) 2Base Area ( f t g ) B1owdown (1bs HpO/hr) A constant Heat Capacity o f Water (Btu/l b°F) D r i f t ( l b s H20/hr) Evaporation (1bs H20/hr) A i r Flow Rate (actual cubic feed per minute; acfm) A i r Flow Rate (lbs air/hr) Enthalpy o f A i r (Btu/lb dry a i r ) A i r Humidity ( l b H20/lb dry a i r ) Head of Pump ( f t ) A i r Mass Transfer Constant (lbs a i r / h r ftTA) Volumetric A i r Mass Transfer Constant (lbs air/hr ftfill) 2 3 Tower Characteristic (1bs a i r / l b H20) Water Flow Rate ( l b s H20/hr) Loading Factor (1bs HpO/hr f t i ) Water-Air Flow Rate Ratio (lbs HpO/lb a i r ) Makeup ( l b s H20/hr) Power (hp) Heat Load (Btu/hr) Range (Tl - T2; OF) A i r Temperature (OF) Water Temperature (OF) TC - Tower Characteristic (Kav/c lbs a i r / l b H20) iii
  • 8. Page 2 3V - F i l l Volume, Total ( f t f i l l ) B - Specific Fill Volume (ftfil,/ftB)3 2 Z - Fill Height ( f t ) r7 - Fan Efficiency (dimensionless; $0.80) P - Density (lb/ft3) $ - Dollars Subsymbols -a B - calc - des - f i l l - F - mix - OP - P - sa - t - T - TA - -W wb - 1 - 2 - Ai r Base Area Cal cul ated Value Design Fill Volume Fan Mixture of Air and Water Vapor Operation Pump Saturated Air @ Water Temperature A i r Temperature Water Temperature Transfer Area Water Vapor Wet Bulb Temperature Inlet Condition Exit Condition , ' . , ., ... 0 f i v
  • 9. I . I NTRODUCTION c The design of wet cooling towers is a competitive field of technology, where design methods and constants are proprietary information. mate design of cooling towers using rules-of-thumb i s presented and provides information suitable for use i n power plant cycle optimization, including tower dimensions, water consumption rate, exit a i r temperature, power requirements and construction cost. a t various operating conditions is also presented. However, the approxi- A method for the simulation of cooling tower performance Several types of wet cooling tower exist. or mechanical draft. Mechanical d r a f t towers can be either forced or induced draft. Air and water flow can be crosscurrent, countercurrent or both. fundamentals of wet cooling are presented by McKelvey and Brooke (1). Mechanical d r a f t cooling towers are the predominate types of cooling towers b u i l t i n the United States. subject of this paper. Wet cooling towers can be natural The Therefore, the design of mechanical d r a f t cooling towers is the In wet cooling towers, a i r and water are intimately mixed to provide heat trans- fer. Therefore, psychometry is the basis for analysis of heat transfer i n wet cooling towers. Air-water psychometric data and psychometry theory are pre- sented i n several references (1, 2, 3 ) . Heat transfer i n cooling towers occurs by two major mechanisms: sensible heat from water t o a i r (convection) and transfer of latent heat by the evaporation of water (diffusion). air-water boundary layer. The total heat transfer is the sum of these two boundary layer mechanisms. The total heat transfer can also be expressed i n terms of the change i n enthalpy of each bulk phase. boundary layer is equal t o the heat transfer i n the bulk phases. ulation o f the terms, a fundamental equation o f heat transfer i n cooling towers (the Merkel equation) i s obtained. transfer of Both of these mechanisms operate a t the The heat transfer a t the After manip- 1
  • 10. The Merkel equation, named after F. Merkel who f i r s t derived i t , is: T14 dT KaB- = IT,hSa-ha LcP The theory of heat transfer i n wet cooling towers i s presented i n several references (1, 3 , 4, 5). i s presented by Kern (6). The enthalpy of the a i r stream i s ha. The a i r stream is i n contact w i t h water a t a different temperature. saturated a i r a t the water temperature i s hsa. Air does not reach this enthalpy. between the enthalpy of saturated a i r a t the water temperature and the enthalpy of a i r a t the air temperature: An especially clear derivation of the Merkel equation The enthalpy of The driving force i n the Merkel equation (AhDF) i s the difference -"Driving Force" = AhDF - hsa - ha Strictly speaking, enthalpy difference is not the driving force i n wet cooling. The driving force in wet cooling i s actually the difference i n water pressure between the water and air phases (7). or design point i s determined by solving the right-hand The tower equation. The Merkel equation i s presented differently by various authors. the Merkel equation, care i s required to determine the units required by K. As defined above, K i s an a i r mass transfer constant. the water mass transfer constant (2) or the convective heat transfer coeffi- cient (5). Also, C i s frequently left out of the Merkel equation since i t s P value i %1.0, a convention adopted i n this paper. The units of C cannot be overlooked , however. Before using In other sources, K i s P The mass and heat transfer characteristics of cooling tower f i l l are described by Ka, a volumetric mass transfer constant. the wetted f i l l surface and on the surface of the drops. As a result, the specific mass transfer surface (a) i s difficult to measure. i s regarded as a single constant. Mass and heat transfer occur on Therefore, Ka Ka i s a measure of the mass and heat 2
  • 11. transfer rate through the boundary layer per u n i t of f i l l volume. values of Ka reflect better mass and heat transfer characteristics of f i l l . Larger Cooling tower and f i l l vendors do not release values of Ka. However, Ka values can be determined by back-calculation for existing towers. towers built by Research-Cottrell (8), Ka values are between 64 and 140 w i t h an average value of 95 -+ 35 (two standard deviations). cooling towers (9), values of Ka varied from 49 to 152 w i t h 100 -+ 30 as the average value. For conventional types of cooling tower f i l l , a Ka value of 100 gives reasonable f i l l heights (6, p.601). as defined i n the above form of the Merkel equation. constant, b u t is a complex function of several operating variables. remain relatively constant over normal operating variable ranges. For 16 cooling For 39 Marley Company This value of Ka applies to Ka Ka is not strictly a Ka does 1 Detailed design of cooling towers is a trial and error iterative procedure. Once a set of design conditions is defined, designs are performed a t several outlet a i r temperatures. Optimization requires a trade-off between operating and construction costs. More detailed discussions of cooling tower optimization for use w i t h power plants can be found i n Dickey (9) and Clark (10). These designs are compared to determine the optimum. 3
  • 12. 11. DESIGN PROCEDURE A. Problem Statement For a given cooling tower design, the quantity o'f water to be treat- temperature (T2) is specified. The difference between the inlet&and outlet water temperatures is the range (R). An ambient wet-bulb temperature '(twb;tl)is chosen for design, such that i t is exceeded only three to five percent of the time. The difference between the wet-bulb temperature and the outlet water temperature is the approach (A). The outlet water temperature approaches the air wet-bulb temperature, which is the limiting temperature t o which-water can be cooled. Gen- erally, cooling towers are designed with an approach of 10 to 15 de- grees (Fahrenheit). ed ( L ) and its inlet temperature (T1) are known. The outlet water i . The approach is seldom less than five degrees. B. Outlet Air Temperature (t,)/Water-AirL Flow Rate Ratio (L/G). For a given set of cooling tower design conditions, an optimum de- sign (outlet a i r temperature/water-air flow rate ratio) exists. optimum design will result i n minimum construction and operating costs. A good correlation exists between the optimum outlet air temperature and the inlet and outlet water temperatures: The - T1+ T2 2 t2 - As is apparent i n Figures 1 (1, p.177) and 2 (9), the approximated outlet air temperature is very close t o the actual design outlet air temperature. The approximation for the outlet a i r temperature can be used as a first guess for a detailed design or may be considered as the optimum outlet air temperature i n a rule-of-thumb design. When the approximation is used, air flow rate will be w i t h i n -+lo% of the optimum design i n most cases. 4
  • 13. Water is evaporated during the wet cooling process. For each 10°F drop i n water temperature, approximately 1.0% of the treated water evaporates ( 3 , p.757). However, the evaporation rate i s small and i s commonly neglected, yielding the following energy balance (11, p.589): The water flow rate is not strictly constant. The outlet a i r is usually saturated a t the outlet air temperature. The enthalpies of the inlet and outlet are as found from a table or chart of psychometric data. Therefore, by specifying an outlet a i r temperature, the water-air flow rate ratio i s fixed. c. Tower Characteristic The tower characteristic is determined from the Merkel equation: Kaa - i' dT - - hsa - ha - L T2 The right-hand side of the Merkel equation i s difficult t o integrate directly because hsa - h is difficult to express explicitly i n terms of T. Simpson's rule (see sample calculation). The most commonly used computer solution i s the Tchebycheff method (2, p.12-13). A nomograph is also available for estimation of the tower characteristic (2, p.12-14). a However, i t can be graphically integrated or solved by 5
  • 14. D. Loading Factor The loading factor (L), specific water flow r a t e or water flow r a t e density is the recommended water flow r a t e per u n i t of tower cross- sectional area (base area; B). Through experience w i t h various types of f i l l , optimum loading factors have been determined a s a function of design wet-bul b temperature, range and approach. cooling jobs (large range and/or close approach), a low loading factor i s required and visa versa. Two graphical methods are presented f o r determining the loading factor (Figures 3, 4, 5 and Figure 6). 4 For d i f f i c u l t The loading factors determined from these two methods agree well, but a r e lower than the loading factors used w i t h presently-used fills. available, however. termined from the available, older loading factors. Therefore, the available, older loading factors must be used when calculations are performed using the recommended value o f Ka. Methods f o r determining modern loading factors a r e not The back-calculated value of Ka (100) was de- E. Tower Dimensions The required f i l l height (2) is equal t o the specific volume (q and is determined from the tower characteristic: The required base area o r cross-sectional area (B) is: B = L / i A larger loading factor will result i n both a smaller tower height and i n a smaller base area. The f i l l volume (V) is: V = B x Z 6
  • 15. F. Water Consumption Wet cooling towers consume water i n three major ways: evaporation, d r i f t and blowdown. The evaporation r a t e ( E ) is approximately 1.0% of the water flow rate Drift (D) refers t o water which leaves the cooling tower entrained i n the exiting a i r and is approximately 0.2% of the water flow r a t e (3, p.757). i n the cooling water. system, and replaced by fresh water, t o prevent sol ids/chemicals buildup i n the cooling water. of the evaporation r a t e and depends upon the solids/chemicals con- centration which can be tolerated i n the process i n which the cooling water is being used and the solids/chemicals concentration of the makeup water. Blowdown is usually about 20% of the evaporation rate. Makeup (M) water is required t o replace the consumed water: per each 10°F of cooling range ( 3 , p.757). As water evaporates, sol ids and chemicals concentrate Blowdown (Bd) is the water removed from the Blowdown is expressed a s a percentage Water Consumption Rate = M = E + D + Bd E = .001 x R x L D = ,002 L M = (.0012 R + .002) L The evaporation r a t e can also be determined from a mass balance around the a i r stream: E = (H2 - HI) G In this case, M = 1.26 (H2 - H1) + .002 L 7
  • 16. This second method of determining the evaporation rate is more accurate than the first method, but the first method is easier to use because it involves fewer variables. G. Power Requirements Pump power (P ) is determined from the following equation: P L x H -- 6pp 1.98 x 1: x TI The head (H ) is difficult to determine. Dickey (8, p.12) recommends a 75 foot head. 75 foot head i s two t o two and a h a l f 'times greater than the require- ment obtained from other approximations. present the following approximation: P However, the power requirement obtained with a McKelvey and Brooke (1, p. 178) Fill Heiqht (Ft.) 20-24 24-28 hp/1000 gpm 7 8.5 hp/106 1bs/hr 14 17 The power requirements obtained from the above approximations tend to be low. head has been found to be: From an analysis of data, a good estimate of the pump Hp = Z + 10 This equation is convenient and allows the tower height to affect the pump power requirements. 8
  • 17. Fan power requirements can be estimated from the following approxima- tions presented by McKelvey and Brooke (1, p.178): Fill Heiqht ( f t . ) hp/1000 gpm hp/106 1bs/hr 20-24 24-28 14 12 28 24 Fan power requirements can also be estimated from the volume of moist a i r moved by the fan. of the inlet a i r is used i n the calculation. For induced draft towers, use the volume of the exit air. required for each 8,000 actual cubic feet of a i r per minute (acfm) moved by the fan (1, p.178), the fan power is approximated from the following formula: For forced draft towers, the volume Assuming that one hp i s F - pF - 8,000 ’ where PF = Fan Power (hp) F = Air Flow Rate (acfm) Ht = Air Humidity @ t (lbs HpO/lb dry a i r ) G = Air Flow Rate (lbs air/hr) P m i x , t = Density of Moist Air (3 t (lbs/ft3) Pa,t P W , t 42.6439 t + 460 -- = Density of Water Vapor (3 t (lbs/ft3) -- 26.6525 H ( t + 460) t 9
  • 18. a r e derived from w , tThe formulas f o r calculation of p the ideal gas law. w i t h data reported by Research - Cottrell (11). and p a ,t The assumption of 1 hp/8,000 acfm is consistent The total power is obtained by adding fan power and pump power. McKelvey and Brooke (1, p.179) present a method f o r approximating total power requirements from range, appoach, design wet-bul b temper- ature and water flow rate. H. Cost Estimation Zanker (12) has derived an equation f o r the estimation o f cooling tower construction cost: Q-- $1967 C x A + 39.2R - 586 = 1967 dollars where $1967 Q = Total Heat Load (Btu/hr) R = Range (OF) A = Approach ( O F ) 279 C = [1 t 0.0335 (85 - twb)1.143] = Design Wet-Bul b Temperaturetwb Multiplication of 1967 dollars by 2.7 [l.0813] will approximately correct t o 1980 dollars. Dickey (9) presents a method f o r estimation of cooling tower con- struction costs. From analysis of 39 cooling towers b u i l t by 10
  • 19. Marley Co, cooling tower construction cost was found t o be $14.45 (1978 dollars) per cooling tower u n i t (TU). units in a given cooling tower are found as follows: The number of tower TU = Water Flow Rate (gpm) x Rating Factor. . The rating factor is a measure of the cooling job difficulty. the 39 Marley Co. cooling towers, a linear relationship (correlation coefficient = .9844) was found between the Rating Factor and the tower characteristic (TC) : For Rating Factor = .9964 x TC - .3843 A method of estimating cooling tower cost from the tower character- i s t i c is therefore: 14.45~ -- L ( .9964 x TC - -3843) $1978 500 To convert from 1978 dollars to 1980 dollars, multiply by 1.4. the tower characteristic equation, a separate construction cost is obtained for each design (outlet a i r temperature); whereas, the Zanker equation yields only one cost for each set of design con- ditions. From I. Sample Calculation (Example 1) 6Design a cooling tower to cool 120,000 gpm (60 x 10 lbs/hr) from 119'F to 89OF, when the wet-bulb temperature i s 75OF. Also, estimate water consumption rate, power requirements and construction cost. Assume Ka equals 100. 11
  • 20. Solu t ion : Estimate outlet a i r temperature (t2)and t/G: = 104OF T1+ T2 - 2t2 - +(104°F, sat'd) = 79.31 Btu/lb dry air = 75OF) = 38.62 Btu/lb dry a i r hl(twb 79.31 - 38.62 (1.0)(119 - 89) = 1.36--h2 - h l L G Cp (TI - T2) Calculate tower characteristic by the Simpson rule. range into five equal sections o f 6OF each, then Divide 79.31 - 38.62 - = 8.139 Btu/lb air. Aha - - 5 89 54.85 38.62 16.23 .0616 95 63.34 46.76 16.58 .0603 101 73.58 54.90 18.68 .0535 107 85.59 63.04 22.55 .0443 113 99.74 71.18 28.57 .0350 119 116.50 79.31 37.19 .0269 .2816 Ave = .0469 KaB 1 (T ) ~ ~ ~ ~= R x (hsa- ha) = 30 x .0469 = 1.408 ave 12
  • 21. Determine the loading factor: - L = 2.75 gpm/fti = 1375 lbS/hr/ftB2 Determine the tower dimensions: 1.408 x 13751KaV 1 L - = 19.4 ft.x - - 100= Idc Ka 2 B = L / i = 120,000/2.75 = 43,636 ftg 3V = B x Z = 844,740 f t f i l l 13
  • 22. Estimate pump power: = Z + 10 = 29.4 f t . H P L x Hp (60 x lo6), 29.4 2 1100 hp--- pp 1.98 x lo6 TI - (1.98 x lO6)x(.8O) Estimate fan power (Induced draft; t2 = 104OF): 42.6439 P -- = .0756 lbs/ft3 a , t t2 + 460 Ht = .0491 lbs H20/lb air 26.6525 P -- = .9624 1bs/ft3 w , t (t + 4 6 0 ) ~Ht (1 + H t ) G 'mix,t 6 3F = = 10.52 x 10 acfm ( f t /min) 60 = 1300 hp F 8000 - 'F - Total power requirement is approximately 2400 hp. 14
  • 23. Estimate construction cost: 6 14*45 L (.9964 x TC - .3843) = 1.77 x 10 dollars-- $1978 500 Estimate water consumption: M = (.0012R + .002) L 6 = 3.36 x 10 lbs/hr = 6720 gpm 15
  • 24. I I I. SIMULATION CALCULATIONS Cooling towers operate most of the time a t conditions different than their design conditions. ditions i s important i n the optimization o f power plant cycles. A change i n one operation parameter changes the performance of the tower. calculations are required t o determine the new operating state. Prediction of cooling tower performance a t various con- Simulation The parameter which changes most often is the ambient wet-bulb temperature. A change i n the wet-bulb temperature will affect the range and the approach of the tower, but the tower characteristic - wi 11 remain unchanged. The air flow rate i s also frequently changed by reducing the fan speed. When the a i r flow rate i s changed, not only i s the approach affected, b u t the tower characteristic is also changed. Water flow rate also affects the tower characteristic. A change in the inlet water temperature does not affect the tower characteristic, but does change the approach and can change the range. (K;) The tower characteristic (‘p-) i s a function of L/G by the following re1ationship: or 16
  • 25. The slope (M) i s approximately equal t o -0.6 for most conditions (13, p.2.8). If one point on the line is known (for instance, the intercept (logloC) can be calculated and C determined. mined, the tower characteristic can be determined for other L/G. The above equation i s accurate w i t h i n the following range: - x (k)d;s TCdes Mathematical solutions t o simulation problems must be solved by trial-and-error. Two examples of arithmetically solved simulation problems are given below. The solution of simulation problems using Cooling Tower Institute Performance Curves (14) is given by the Cooling Tower Institute (15, 16). KaV- L a t design L/G), Once C is deter- 1 < - X ( k )3 . des2 2 Example 2 A cooling tower is designed to cool 8950 gpm (4.475 x lo6 lbs/hr) from llO°F t o 84OF ( R = 26) a t a wet-bulb temperature of 69OF (A = 15OF) w i t h a tower characteristic of 1.49 (L/G = 1.30 and t2 = 97.3OF). ature drops t o 6OoF, what will T1 and T2 be f o r L/G and range held constant? When the wet-bulb temper- Solution (Trial and Error) hl (twb = 6OOF) = 26.46 Btu/lb a i r Guess 1: T2 = 75OF (T1 = 101OF) L - T2) = 60.26 Btu/lb a i r hsa (T = 75, sat'd) = 38.62 Btu/lb (T = 101, sat'd) = 73.58 Btu/lbhsa dT hsa - ha = 2.34 17
  • 26. Guess 2: T2 = 8OoF (TI = 106OF) h2 = 60.26OF (F)= 1.43 2 Guess 3: Interpolation - T2 = 79OF (T1 = 105OF) h2 = 60.26OF (F)= 1.56 3 Guess 4: Interpolation - T p = 79.5OF (TI = 105.5OF) h2 = 60.26OF ('<)4 = 1.49 0 0 0 T2 = 79.5OF and T1 = 105.5OF Example 3 Consider the above cooling tower. approximately 40% reduction i n a i r flow rate), what will T1 and T2 be for twb = 6OoF and the range held constant? If the fan rpm i s reduced 50% (an 18
  • 27. Solution: (Trial and Error) 1.30 (:)op = &(:)des .60 = 2.17-- - c = x (;>”des = 1.7442 M (F)op= C x(:) = 1.096 OP dT hsa - ha 0.0 1.096 = i1 T2 Solve by t r i a l and error a s i n Example 2. T2 = 89.6OF and T1 = 115.6OF. 19
  • 28. L L 0 I 110 a, 100 aJ c, c, c c, J na O 90 L 70 60 b 50 aJ c, la aJ m la > 50 60 70 80 90 100 110 Air outlet temp., OF FIGURE 1: Average o f water inlet and outlet temperature vs. Design a i r outlet [From McKelvey & Brook (1, p.17711 20
  • 30. 35 30 25 LI, 0 QI 20 15 0, S lu cc 10 200 400 600 800 1000 1200 _ _ _ . - I ! l b sq. ft/1000 U.S. gpm FIGURE 3: 6OoF wet bulb - Design chart for mechanical draft Approach [YOo15' 10' 5O 35 LL 300 e aJ CEI 25 20 z 15 10 towers 200 400 600 800 1000 1200. sq. ft./1000 U.S. gpm FIGURE 4: 70° wet bulb - Design chart for mechanical draft towers 22
  • 31. Approach r I I 0 0 I1 20' 15' 10 5 I 200 400 600 800 1000 1200 sq/ft. FIGURE 5: 80' wet bulb - Design chart f o r mechanical d r a f t towers I 1000 U.S. gpm FIGURE 6: Loading Factor (Water Concentration) Determination Chart f o r Induced-Draf t Cooling Towers 23
  • 32. REFERENCES 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. K. K. McKelvey and M. Brooke, The Industrial Cooling Tower, Elsevier Publishing Co., Amsterdam, 1959. E. Bagnoli, Evaporative Cooling, Air Conditioning and Refrigeration," Chemical Engineers Handbook 5th Ed., R. H. Perry and C. H. Chilton, Editors, McGraw-Hill Book Co., New York , 1973. F. H. Fuller, V. J. Johnson and R. W. Norris, "Psychometry, W. L. McCabe and J. C. Smith, Unit Operations of Chemical Engineering 3rd Ed., McGraw-Hill Book Co., New York, 1976. W. S. Norman, Absorption, Distillation and Cooling Towers, Longmans, Green and Co. , Ltd., London, 1961. B. Woods and P. Betts, "A Temperature-Total Heat Diagram for Cooling Tower Calculations, No. I," The Engineer 189 (4912), 337 (1950). D. Q. Kern, Process Heat Transfer, McGraw-Hill Book Co., New York, 1950. W. Gloyer, "Review o f Cooling Tower Calculation," Cooling Tower Institute -#TP-l94A, January 1978. Research-Cottrell (Hamon Cooling Tower Division) U. S. Installation List, 1980; Obtained from Mr. Allen J. George, P. 0. Box 1500, Somerville, NJ 08876 (201) 685-4045. J. B. Dickey, "Managing Waste Heat with the Water Cooling Tower, 3rd Ed.," Marley Cooling Tower Co., Mission, Kansas 66202, 1978. S. D. Clark, "Sizing Cooling Towers to Optimize Plant Performance," Cooling Tower Institute - #TP-218A, January 1980. Research-Cottrell (Hamon Cooling Tower Division), "Mechanical Draft Cooling Tower Construction,'' Bound Brook, New Jersey 08805; data on the city of Tallahassee's Arvah B. Hopkins Unit #2 given inside front cover, 1976. A. Zanker, "Coolin Tawer Costs from Operating Data," Calculation and Shortcut Handbook 907-X), McGraw-Hill Book Co., New York, pp.47-48. Cooling 'Tower Institute, "Chapter 2: Basic Concepts of Cooling Tower Operation," Cooling Tower Manual , Cooling Tower Institute, Houston, Texas 77037, January 1977. Cooling Tower Institute, Cooling Tower Performance Curves, 1967. Cooling Tower Institute, "Acceptance Test Code for Water-Cooling Towers," CTI #ATC-105, February 1975. Cooling Tower Institute, "Chapter 3: Cooling Tower Manual, January 1977. Cooling Tower Performance Variables," 24