This document presents a rule-of-thumb design procedure for wet cooling towers that can be used for power plant cycle optimization. It begins with defining the design problem and specifying inlet/outlet water temperatures and ambient wet-bulb temperature. It then provides methods to calculate the outlet air temperature, tower characteristic, loading factor, and other key parameters. These include using the average of inlet/outlet water temperatures to approximate outlet air temperature, graphically integrating the Merkel equation to determine tower characteristic, and using graphs to determine the optimum loading factor based on design conditions. The goal is to provide simplified methods for estimating cooling tower dimensions, performance, costs and other details needed for power plant analysis without requiring detailed iterative design calculations.
Fouling, in technical language, it is the general term of unwanted material which is accumulating on surfaces, such as inside pipes, machines or heat exchanger.
Fouling, in technical language, it is the general term of unwanted material which is accumulating on surfaces, such as inside pipes, machines or heat exchanger.
Engineers often use softwares to perform gas compressor calculations to estimate compressor duty, temperatures, adiabatic & polytropic efficiencies, driver & cooler duty. In the following exercise, gas compressor calculations for a pipeline composition are shown as an example case study.
Air Cooled Heat Exchanger Design
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 SUITABILITY FOR AIR COOLING
4.1 Options Available For Cooling
4.2 Choice of Cooling System
5 SPECIFICATION OF AN AIR COOLED HEAT
EXCHANGER
5.1 Description and Terminology
5.2 General
5.3 Thermal Duty and Design Margins
5.4 Process Pressure Drop
5.5 Design Ambient Conditions
5.6 Process Physical Properties
5.7 Mechanical Design Constraints
5.8 Arrangement
5.9 Air Side Fouling
5.10 Economic Factors in Design
6 CONTROL
7 PRESSURE RELIEF
8 ASSESSMENT OF OFFERS
8.1 General
8.2 Manual Checking Of Designs
8.3 Computer Assessment
8.4 Bid Comparison
9 FOULING AND CORROSION
9.1 Fouling
9.2 Corrosion
10 OPERATION AND MAINTENANCE
10.1 Performance Testing
10.2 Air-Side Cleaning
10.3 Mechanical Maintenance
10.4 Tube side Access
11 REFERENCES
Solution Manual – Heat and Mass Transfer: Fundamentals and Application, 5th e...kl kl
Solution Manual – Heat and Mass Transfer: Fundamentals and Application, 5th edition
Author: Yunus A. Cengel, Afshin J. Ghajar
Publisher: McGraw-Hill Education
ISBN of textbook: 978-007-339818-1
Selection and Design of Condensers
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 CHOICE OF COOLANT
5 LAYOUT CONSIDERATIONS
5.1 Distillation Column Condensers
5.2 Other Process Condensers
6 CONTROL
6.1 Distillation Columns
6.2 Water Cooled Condensers
6.3 Refrigerant Condensers
7 GENERAL DESIGN CONSIDERATIONS
7.1 Heat Transfer Resistances
7.2 Pressure Drop
7.3 Handling of Inerts
7.4 Vapor Inlet Design
7.5 Drainage of Condensate
8 SUMMARY OF TYPES AVAILABLE
8.1 Direct Contact Condensers
8.2 Shell and Tube Exchangers
8.3 Air Cooled Heat Exchangers
8.4 Spiral Plate Heat Exchangers
8.5 Internal Condensers
8.6 Plate Heat Exchangers
8.7 Plate-Fin Heat Exchangers
8.8 Other Compact Designs
9 BIBLIOGRAPHY
FIGURES
1 DIRECT CONTACT CONDENSER WITH INDIRECT COOLER FOR RECYCLED CONDENSATE
2 SPRAY CONDENSER
3 TRAY TYPE CONDENSER
4 THREE PASS TUBE SIDE CONDENSER WITH INTERPASS LUTING FOR CONDENSATE DRAINAGE
5 CROSS FLOW CONDENSER WITH SINGLE PASS COOLANT
DESIGN AND FABRICATION OF HELICAL TUBE IN COIL TYPE HEAT EXCHANGERhemantnehete
Heat exchangers are the important engineering systems with wide variety of applications including power plants, nuclear reactors, refrigeration and air-conditioning systems, heat recovery systems, chemical processing and food industries. Helical coil configuration is very effective for heat exchangers and chemical reactors because they can accommodate a large heat transfer area in a small space, with high heat transfer coefficients. This project focus on an increase in the effectiveness of a heat exchanger and analysis of various parameters that affect the effectiveness of a heat exchanger and also deals with the performance analysis of heat exchanger by varying various parameters like number of coils, flow rate and temperature. The results of the helical tube heat exchanger are compared with the straight tube heat exchanger in both parallel and counter flow by varying parameters like temperature, flow rate of cold water and number of turns of helical coil.
Engineers often use softwares to perform gas compressor calculations to estimate compressor duty, temperatures, adiabatic & polytropic efficiencies, driver & cooler duty. In the following exercise, gas compressor calculations for a pipeline composition are shown as an example case study.
Air Cooled Heat Exchanger Design
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 SUITABILITY FOR AIR COOLING
4.1 Options Available For Cooling
4.2 Choice of Cooling System
5 SPECIFICATION OF AN AIR COOLED HEAT
EXCHANGER
5.1 Description and Terminology
5.2 General
5.3 Thermal Duty and Design Margins
5.4 Process Pressure Drop
5.5 Design Ambient Conditions
5.6 Process Physical Properties
5.7 Mechanical Design Constraints
5.8 Arrangement
5.9 Air Side Fouling
5.10 Economic Factors in Design
6 CONTROL
7 PRESSURE RELIEF
8 ASSESSMENT OF OFFERS
8.1 General
8.2 Manual Checking Of Designs
8.3 Computer Assessment
8.4 Bid Comparison
9 FOULING AND CORROSION
9.1 Fouling
9.2 Corrosion
10 OPERATION AND MAINTENANCE
10.1 Performance Testing
10.2 Air-Side Cleaning
10.3 Mechanical Maintenance
10.4 Tube side Access
11 REFERENCES
Solution Manual – Heat and Mass Transfer: Fundamentals and Application, 5th e...kl kl
Solution Manual – Heat and Mass Transfer: Fundamentals and Application, 5th edition
Author: Yunus A. Cengel, Afshin J. Ghajar
Publisher: McGraw-Hill Education
ISBN of textbook: 978-007-339818-1
Selection and Design of Condensers
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 CHOICE OF COOLANT
5 LAYOUT CONSIDERATIONS
5.1 Distillation Column Condensers
5.2 Other Process Condensers
6 CONTROL
6.1 Distillation Columns
6.2 Water Cooled Condensers
6.3 Refrigerant Condensers
7 GENERAL DESIGN CONSIDERATIONS
7.1 Heat Transfer Resistances
7.2 Pressure Drop
7.3 Handling of Inerts
7.4 Vapor Inlet Design
7.5 Drainage of Condensate
8 SUMMARY OF TYPES AVAILABLE
8.1 Direct Contact Condensers
8.2 Shell and Tube Exchangers
8.3 Air Cooled Heat Exchangers
8.4 Spiral Plate Heat Exchangers
8.5 Internal Condensers
8.6 Plate Heat Exchangers
8.7 Plate-Fin Heat Exchangers
8.8 Other Compact Designs
9 BIBLIOGRAPHY
FIGURES
1 DIRECT CONTACT CONDENSER WITH INDIRECT COOLER FOR RECYCLED CONDENSATE
2 SPRAY CONDENSER
3 TRAY TYPE CONDENSER
4 THREE PASS TUBE SIDE CONDENSER WITH INTERPASS LUTING FOR CONDENSATE DRAINAGE
5 CROSS FLOW CONDENSER WITH SINGLE PASS COOLANT
DESIGN AND FABRICATION OF HELICAL TUBE IN COIL TYPE HEAT EXCHANGERhemantnehete
Heat exchangers are the important engineering systems with wide variety of applications including power plants, nuclear reactors, refrigeration and air-conditioning systems, heat recovery systems, chemical processing and food industries. Helical coil configuration is very effective for heat exchangers and chemical reactors because they can accommodate a large heat transfer area in a small space, with high heat transfer coefficients. This project focus on an increase in the effectiveness of a heat exchanger and analysis of various parameters that affect the effectiveness of a heat exchanger and also deals with the performance analysis of heat exchanger by varying various parameters like number of coils, flow rate and temperature. The results of the helical tube heat exchanger are compared with the straight tube heat exchanger in both parallel and counter flow by varying parameters like temperature, flow rate of cold water and number of turns of helical coil.
Optimization of Air Preheater for compactness of shell by evaluating performa...Nemish Kanwar
Designing of an Air Preheater with increased performance from an existing design through alteration in baffle placement. Analysis of 4 Baffle designs for segmented Baffle case was done using Ansys Fluent. The net heat recovery rate was computed by subtracting pump work from heat recovered. Based on the result, Air Preheater design was recommended.
Thermal Analysis of Cooling Tower using Computational Fluid Dynamicsijtsrd
The automotive, chemical and other plants employs use of cooling tower dissipating heat from water in to the atmosphere. The performance of cooling tower can be enhanced by various water modelling and energy consumption analysis. The current research reviews previous studies conducted in determination of effectiveness of cooling tower subjected to different operating conditions. The analytical equations are presented along with experimental data on evaluation and improvement of cooling tower performance. P Chandra Shekhar | Sudhir Singh Rajput "Thermal Analysis of Cooling Tower using Computational Fluid Dynamics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49160.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/49160/thermal-analysis-of-cooling-tower-using-computational-fluid-dynamics/p-chandra-shekhar
CFD Analysis of Plate Fin Tube Heat Exchanger for Various Fin InclinationsIJERA Editor
ANSYS Fluent software is used for three dimensional CFD simulations to investigate heat transfer and fluid flow characteristics of six different fin angles with plain fin tube heat exchangers. The numerical simulation of the fin tube heat exchanger was performed by using a three dimensional numerical computation technique. Geometry of model is created and meshed by using ANSYS Workbench software. To solve the equation for the fluid flow and heat transfer analysis ANSYS FLUENT was used in the fin-tube heat exchanger. The fluid flow and heat transfer are simulated and result compared for both laminar and turbulent flow models k-epsilon and SST k-omega, with steady state solvers to calculate heat transfer, flow velocity and temperature fields of variable inclined fin angles (Ɵ = 00,100 , 200, 300, 400,500). Model is validate by comparing the simulated value of velocity, temperature and colburn factor with experimental and numerical results investigated by WANG [1] and GHORI KIRAR [10]. Reasonable agreement is found between the simulations and other results, and the ANSYS Fluent software is sufficient for simulating the flow fields in tube fin heat exchanger.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Student information management system project report ii.pdfKamal Acharya
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
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Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
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.
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