This document discusses estimating the hottest spot temperature in power transformer windings using different cooling methods. It presents the mathematical formulation of the heat conduction equation for solving temperature distribution numerically using the finite element method. The selected model is a 32MVA transformer with two cooling methods: Non-Directed Oil-Forced (NDOF) cooling and Directed Oil-Forced (DOF) cooling. Equations are provided for calculating heat transfer coefficients, boundary conditions, and temperature gradients needed to solve the heat conduction equation.
Heat transfer from extended surfaces (or fins)tmuliya
This file contains slides on Heat Transfer from Extended Surfaces (FINS). The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
Contents: Governing differential eqn – different boundary conditions – temp. distribution and heat transfer rate for: infinitely long fin, fin with insulated end, fin losing heat from its end, and fin with specified temperatures at its ends – performance of fins - ‘fin efficiency’ and ‘fin effectiveness’ – fins of non-uniform cross-section- thermal resistance and total surface efficiency of fins – estimation of error in temperature measurement - Problems
This file contains slides on Transient Heat conduction: Part-I
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010. Contents: Lumped system analysis – criteria for lumped system analysis – Biot and Fourier Numbers – Response time of a thermocouple - One-dimensional transient conduction in large plane walls, long cylinders and spheres when Bi > 0.1 – one-term approximation - Heisler and Grober charts- Problems
This file contains slides on One-dimensional, steady state heat conduction without heat generation. The slides were prepared while teaching Heat Transfer course to the M.Tech. students.
Topics covered: Plane slab - composite slabs – contact resistance – cylindrical Systems – composite cylinders - spherical systems – composite spheres - critical thickness of insulation – optimum thickness – systems with variable thermal conductivity
Mathcad Functions for Conduction heat transfer calculationstmuliya
This file contains notes on Mathcad Functions for Conduction heat transfer calculations. Some problems are also included.
These notes were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
It is hoped that these notes will be useful to teachers, students, researchers and professionals working in this field.
Introduction to transient Heat conduction, Lamped System Analysis, Approxiamate Analytical and graphical method and Numerical method for one and two dimensional heat conduction by using Explicit and Implicit method
Heat transfer from extended surfaces (or fins)tmuliya
This file contains slides on Heat Transfer from Extended Surfaces (FINS). The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
Contents: Governing differential eqn – different boundary conditions – temp. distribution and heat transfer rate for: infinitely long fin, fin with insulated end, fin losing heat from its end, and fin with specified temperatures at its ends – performance of fins - ‘fin efficiency’ and ‘fin effectiveness’ – fins of non-uniform cross-section- thermal resistance and total surface efficiency of fins – estimation of error in temperature measurement - Problems
This file contains slides on Transient Heat conduction: Part-I
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010. Contents: Lumped system analysis – criteria for lumped system analysis – Biot and Fourier Numbers – Response time of a thermocouple - One-dimensional transient conduction in large plane walls, long cylinders and spheres when Bi > 0.1 – one-term approximation - Heisler and Grober charts- Problems
This file contains slides on One-dimensional, steady state heat conduction without heat generation. The slides were prepared while teaching Heat Transfer course to the M.Tech. students.
Topics covered: Plane slab - composite slabs – contact resistance – cylindrical Systems – composite cylinders - spherical systems – composite spheres - critical thickness of insulation – optimum thickness – systems with variable thermal conductivity
Mathcad Functions for Conduction heat transfer calculationstmuliya
This file contains notes on Mathcad Functions for Conduction heat transfer calculations. Some problems are also included.
These notes were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
It is hoped that these notes will be useful to teachers, students, researchers and professionals working in this field.
Introduction to transient Heat conduction, Lamped System Analysis, Approxiamate Analytical and graphical method and Numerical method for one and two dimensional heat conduction by using Explicit and Implicit method
This file contains slides on Transient Heat conduction: Part-II
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in the year 2010.
Contents: Semi-infinite solids with different BC’s - Problems - Product solution for multi-dimension systems -
Summary of Basic relations for transient conduction
One dim, steady-state, heat conduction_with_heat_generationtmuliya
This file contains slides on One-dimensional, steady-state heat conduction with heat generation.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010.
It is hoped that these Slides will be useful to teachers, students, researchers and professionals working in this field.
This chapter contains:-.
Analytical Methods of two dimensional steady state heat conduction
Finite difference Method application on two dimensional steady state heat conduction.
Finite difference method on irregular shape of a system
Natural convection heat transfer flow visualization of perforated fin arrays ...eSAT Journals
Abstract
The present paper reports, the validation of results of modeling and simulation in CFD by experiment on the fluid flow and heat
transfer characteristics of a fin arrays with lateral circular perforation and its external dimensionally equivalent solid fin arrays
equipped on horizontal flat surface a problem of natural convection. The simulation is carried out using the fluid flow (CFX)
workbench of ANSYS 12.0. In this study, results shows that formation of the stagnant layer around the solid fin array which slowdowns
the heat dissipation rate. Increase in the fluid flow movement around the fin results increase in the heat dissipation rate. It can
be achieved by adding perforation to the fins. Natural convection is a buoyancy driven phenomenon; the state of the art of CFX was
used to carry the study of fluid flow separation and velocity field over a fin array. New designed perforated fins have an improvement
in average Nusselt number, over its external dimensionally equivalent solid fin arrays.
Keywords: CFD simulation, perforated fins, Natural convection, Heat sink, Nusselt number, Flow Visualization
Numerical methods in Transient-heat-conductiontmuliya
This file contains slides on Numerical methods in Transient heat conduction.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010.
Contents: Finite difference eqns. by energy balance – Explicit and Implicit methods – 1-D transient conduction in a plane wall – stability criterion – Problems - 2-D transient heat conduction – Finite diff. eqns. for interior nodes – Explicit and Implicit methods - stability criterion – difference eqns for different boundary conditions – Accuracy considerations – discretization error and round–off error - Problems
This file contains slides on NUMERICAL METHODS IN STEADY STATE 1D and 2D HEAT CONDUCTION – Part-I.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students.
Contents: Why Numerical methods? – Advantages – Finite difference formulation from differential eqns – 1D steady state conduction in cartesian coordinates – formulation by energy balance method – different BC’s – Problems
Recognize numerous types of heat exchangers, and classify them.
Develop an awareness of fouling on surfaces, and determine the overall heat transfer coefficient for a heat exchanger.
Perform a general energy analysis on heat exchangers.
Obtain a relation for the logarithmic mean temperature difference for use in the LMTD method, and modify it for different types of heat exchangers using the correction factor.
Develop relations for effectiveness, and analyze heat exchangers when outlet temperatures are not known using the effectiveness-NTU method.
Know the primary considerations in the selection of heat exchangers.
Layer-Type Power Transformer Thermal Analysis Considering Effective Parameter...AEIJjournal2
Since large power transformers belong to the most valuable assets in electrical power networks it is
suitable to pay higher attention to these operating resources. Thermal impact leads not only to long-term
oil/paper-insulation degradation; it is also a limiting factor for the transformer operation. Therefore, the
knowledge of the temperature, especially the hottest spot (HST) temperature, is of high interest. This paper
presents steady state temperature distribution of a power transformer layer-type winding using conjugated
heat transfer analysis, therefore energy and Navier-Stokes equations are solved using finite difference
method. Meanwhile, the effects of load conditions and type of oil on HST are investigated using the model.
Oil in the transformer is assumed nearly incompressible and oil parameters such as thermal conductivity,
special heat, viscosity, and density vary with temperature. Comparing the results with those obtained from
finite integral transform checks the validity and accuracy of the proposed method
This file contains slides on Transient Heat conduction: Part-II
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in the year 2010.
Contents: Semi-infinite solids with different BC’s - Problems - Product solution for multi-dimension systems -
Summary of Basic relations for transient conduction
One dim, steady-state, heat conduction_with_heat_generationtmuliya
This file contains slides on One-dimensional, steady-state heat conduction with heat generation.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010.
It is hoped that these Slides will be useful to teachers, students, researchers and professionals working in this field.
This chapter contains:-.
Analytical Methods of two dimensional steady state heat conduction
Finite difference Method application on two dimensional steady state heat conduction.
Finite difference method on irregular shape of a system
Natural convection heat transfer flow visualization of perforated fin arrays ...eSAT Journals
Abstract
The present paper reports, the validation of results of modeling and simulation in CFD by experiment on the fluid flow and heat
transfer characteristics of a fin arrays with lateral circular perforation and its external dimensionally equivalent solid fin arrays
equipped on horizontal flat surface a problem of natural convection. The simulation is carried out using the fluid flow (CFX)
workbench of ANSYS 12.0. In this study, results shows that formation of the stagnant layer around the solid fin array which slowdowns
the heat dissipation rate. Increase in the fluid flow movement around the fin results increase in the heat dissipation rate. It can
be achieved by adding perforation to the fins. Natural convection is a buoyancy driven phenomenon; the state of the art of CFX was
used to carry the study of fluid flow separation and velocity field over a fin array. New designed perforated fins have an improvement
in average Nusselt number, over its external dimensionally equivalent solid fin arrays.
Keywords: CFD simulation, perforated fins, Natural convection, Heat sink, Nusselt number, Flow Visualization
Numerical methods in Transient-heat-conductiontmuliya
This file contains slides on Numerical methods in Transient heat conduction.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India, during Sept. – Dec. 2010.
Contents: Finite difference eqns. by energy balance – Explicit and Implicit methods – 1-D transient conduction in a plane wall – stability criterion – Problems - 2-D transient heat conduction – Finite diff. eqns. for interior nodes – Explicit and Implicit methods - stability criterion – difference eqns for different boundary conditions – Accuracy considerations – discretization error and round–off error - Problems
This file contains slides on NUMERICAL METHODS IN STEADY STATE 1D and 2D HEAT CONDUCTION – Part-I.
The slides were prepared while teaching Heat Transfer course to the M.Tech. students.
Contents: Why Numerical methods? – Advantages – Finite difference formulation from differential eqns – 1D steady state conduction in cartesian coordinates – formulation by energy balance method – different BC’s – Problems
Recognize numerous types of heat exchangers, and classify them.
Develop an awareness of fouling on surfaces, and determine the overall heat transfer coefficient for a heat exchanger.
Perform a general energy analysis on heat exchangers.
Obtain a relation for the logarithmic mean temperature difference for use in the LMTD method, and modify it for different types of heat exchangers using the correction factor.
Develop relations for effectiveness, and analyze heat exchangers when outlet temperatures are not known using the effectiveness-NTU method.
Know the primary considerations in the selection of heat exchangers.
Layer-Type Power Transformer Thermal Analysis Considering Effective Parameter...AEIJjournal2
Since large power transformers belong to the most valuable assets in electrical power networks it is
suitable to pay higher attention to these operating resources. Thermal impact leads not only to long-term
oil/paper-insulation degradation; it is also a limiting factor for the transformer operation. Therefore, the
knowledge of the temperature, especially the hottest spot (HST) temperature, is of high interest. This paper
presents steady state temperature distribution of a power transformer layer-type winding using conjugated
heat transfer analysis, therefore energy and Navier-Stokes equations are solved using finite difference
method. Meanwhile, the effects of load conditions and type of oil on HST are investigated using the model.
Oil in the transformer is assumed nearly incompressible and oil parameters such as thermal conductivity,
special heat, viscosity, and density vary with temperature. Comparing the results with those obtained from
finite integral transform checks the validity and accuracy of the proposed method
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
New Mexico State University 1
New Mexico State University
Mechanical & Aerospace Engineering Department
Experimental Methods II
ME 445
LAB Exercise-4
TIME FOR BRIDGEWIRE BREAK
4.1 Objective
To apply the principles of heat transfer to estimate the break time of a resistive wire through
which a constant electric current is flowing.
Through this experiment, students will theoretically estimate the time using energy
balance equations.
Apply linear regression to fit manufacturer’s data with the model to deduce unknown
heat transfer parameters.
Predictions will be verified or contradicted by experimental measurement.
4.2 Theoretical Background
The physical representation of the problem is shown in the following figure:
Figure 4.0.1: Physical representation of the wire
A wire of length L and diameter D is considered. Due to the passage of electric current through
the wire, heat is generated internally. If radiation and convective heat loss are presumed as the
principal heat loss mechanisms, the energy balance for this problem, based on lumped mass for
the wire and infinite length, can be written:
Rate of change of Internal Energy (Qstored)
= Rate of Internal Energy Generation (Qgenerated) – Rate of Heat Loss (Qloss)
In the above equation, note that the heat input is not considered since no heat is being supplied
to the wire from its boundaries.
Symbolically, we can write the energy equation as:
TThATTAi
dt
dT
mc
wireswires
442
(4.1)
New Mexico State University 2
where,
m = mass of the wire = density of the wire * volume of the wire = ρV
Twire = Surface temperature of the wire
i = Current
R = Resistance of the wire
σ = Stefan-Boltzmann constant = 5.67 X 10
8
W/m
-2
K
-4
c = Specific heat capacity of the wire material
ε = Emissivity of the wire
As = Surface area of the wire
For present purposes the assumption is made that convection around the horizontal wire is fully
developed. The quantities m, c, I, , σ, As and Ts are presumed known. However, uncertainty
exists in the emissivity of the wire because of oxidized state is not precisely known, and the
convection coefficient is known to vary somewhat with size, and mean temperature across the
thermal boundary layer.
For the case of the wire which is to be used in this experiment, the manufacturer has provided
temperature versus current data for steady state. Hence, by using a multi-variable linear
regression, it is possible to use this data along with the steady state energy equation, to obtain
estimates for h and ε. However, when such an approach is taken, it is found that the value of ε
exceeds unity, an impossible condition. In order to resolv.
Study of the Thermal Behavior of a Synchronous Motor With Permanent MagnetsCSCJournals
The present study deals with the thermal behavior of an electric motor used in naval propulsion. A permanent three-dimensional model based on a nodal approach was developed to predict the thermal behavior of the machine in permanent state. The various heat transfer modes playing a role (mainly the conduction, the convection and the mass transfer) are taken into account. The three dimensional developed model provides information (in terms of heat fluxes or temperatures) for the whole machine. A parametric study using this model is carried out aiming at two objectives. The first one consists in an evaluation of the influence of several factors on the temperature distribution. The second one aims at obtaining the inception of the thermal optimization and evaluating the more efficient cooling techniques or solutions.
A basic information About The radial Heat Conduction and calculations on -The WL 372 experimental unit done by student (Diyar Zeki) in energy engineering department in Duhok Polytechnic university (Technical College Engineering).
Simulation and Optimization of Cooling Tubes of Transformer for Efficient Hea...IJAEMSJORNAL
Temperature variation with in the transformer affects the life and efficiency of the distribution transformer. The top oil temperature in the transformer depends on the type of cooling and cooling ducts/fins design and their layout. The present project investigates methods of onan transformer cooling system by means of increasing heat transfer rate by implanting the axial groves along with fins and porous region within in the cooling tubes and further optimization of the cooling process by adjusting the gravity by orienting the tube. This study is carried out by means of numerical analysis by simulating Transformer geometry in Ansys Fluent .Real case geometry of distribution transformer is used in this simulation.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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.
• 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.
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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.
1. Transactions D:
Computer Science & Engineering and
Electrical Engineering
Vol. 16, No. 2, pp. 163{170
c Sharif University of Technology, December 2009
Research Note
Estimation of Hottest Spot Temperature
in Power Transformer Windings
with NDOF and DOF Cooling
M.A. Taghikhani1; and A. Gholami1
Abstract. Power transformer outages have a considerable economic impact on the operation of an
electrical network. One of the most important parameters governing a transformer's life expectancy is the
Hot-Spot Temperature (HST) value. The classical approach has been established to consider the hot-spot
temperature as the sum of the ambient temperature, the top-oil temperature rise in the tank, and the hot-
spot-to-top-oil (in tank) temperature gradient. In this paper, the heat conduction equation for temperature
is solved. For numerical solution of the heat conduction equation, the nite element method is used. The
selected model for simulation is a 32MVA transformer with Non-Directed Oil-Forced (NDOF) cooling and
Directed Oil-Forced (DOF) cooling.
Keywords: Power transformer; Temperature distribution; Hot spot; Forced cooling; Heat equation; Finite
element.
INTRODUCTION
A power transformer is a static piece of apparatus
with two or more windings, which by electromag-
netic induction transforms a system of alternating
voltage and current into another system of voltage
and current, usually of di erent values and at the
same frequency for transmitting electrical power. Since
large power transformers belong to the most valuable
assets in electrical power networks, it is suitable to
pay greater attention to these operating resources. An
outage a ects the stability of the network, and the
associated nancial penalties for the power utilities
can be increased. In a power transformer opera-
tion, part of the electrical energy is converted into
heat. Although this part is quite small, compared
to total electric power transferred through a trans-
former, it causes a signi cant temperature rise in the
transformer constructive parts, which represents the
limiting criteria for possible power transfer through
a transformer. That is why precise calculation of
1. Department of Electrical Engineering, Iran University of
Science and Technology (IUST), Tehran, P.O. Box 16846,
Iran.
*. Corresponding author. E-mail: taghikhani@ee.iust.ac.ir
Received 7 April 2008; received in revised form 13 October 2008;
accepted 31 January 2009
temperatures in critical points (top oil and the hottest
solid insulation spot) is of practical interest. Ther-
mal impact leads not only to long-term oil/paper-
insulation degradation, it is also a limiting factor for
transformer operation [1]. Therefore, knowledge of
temperature, especially hot-spot temperature, is of
great interest.
The basic criterion for transformer loading is the
temperature of the hottest spot of the solid insulation
(hot-spot). It must not exceed the prescribed value,
in order to avoid insulation faults. In addition,
long-term insulation ageing, depending on the hot-
spot temperature diagram, should be less than the
planned value. Hot-spot temperature depends on the
load loss (i.e. on the current) diagrams and on the
temperature of the external cooling medium. A hot-
spot temperature calculation procedure is given in
International Standards [2-4]. In [5,6], the algorithm
for calculating the hot-spot temperature of a directly
loaded transformer, using data obtained in a short
circuit heating test, is given. These papers propose
improvements in the modeling of thermal processes
inside the transformer tank. Calculation methods have
to be based on an energy balance equation. Some
attempts at heat transfer theory result applications to
heat transfer from winding to oil are exposed in [7].
The usage of the average heat transfer coe cient is
2. 164 M.A. Taghikhani and A. Gholami
typical in a transformer designing process to calculate
the needed number (area) of cooling surfaces [8-13].
In this paper, a procedure for obtaining tem-
perature distribution in the transformer is proposed.
The procedure requires calculation of the heat transfer
coe cients. We use heat transfer coe cients in the
energy (thermal) equation. The model can be used
for temperature calculation on the arbitrary change of
current. For numerical simulation of the mentioned
equation, we use the nite element method. For this
reason, a code has been provided under MATLAB
software. This paper deals with a mathematical formu-
lation for the heat conduction equation and its solution,
using the nite element method for the steady state.
Discussion of the proposed work has been provided at
the end of the paper.
MATHEMATICAL FORMULATION FOR
HEAT CONDUCTION EQUATION
The structure of a transformer winding is complex and
does not conform to any known geometry in the strict
sense. Under general conditions, the transformer wind-
ings can be assumed cylindrical in formation, hence a
layer or a disc winding is a nite annular cylinder [10].
The thermal and physical properties of the system
would be equivalent to a composite system of insulation
and conductor. It has been assumed that heat is
generated throughout the body at a constant rate, and
oil in the vertical and horizontal ducts take away the
heat through the process of convection. However, in
an actual transformer winding, the conductor is the
only heat source. Later, in this section formulations
are given for calculating the di erent thermal and
physical properties of the system. It has been assumed
that temperature is independent of the space variable,
because the winding structure is symmetrical. The
temperature at any point on the periphery of the circle
for a speci c value of r and z is deemed a constant (i.e.
presence of spacers has been ignored, thus reducing
three-dimensional problem to a two-dimensional) one
with r and z as space variables. Dielectric loss in
insulation is assumed small compared to copper losses
in the conductor. The surface of the disc or layer has
been assumed smooth.
The generalized system of a non-homogeneous
heat conduction equation with a non-homogeneous
boundary condition in a Cartesian coordinate system
is written, thus [10,14]:
k:
@2T
@x2 +
@2T
@y2
+ Q = 0; (1)
in the region a x b and 0 y l.
Equations 2 to 5 represent the general heat con-
duction equation with convection at all four boundary
surfaces.
At the inner cylindrical surface:
k1
@T
@x
+ h1T = f1(y): (2)
At the outer cylindrical surface:
k2
@T
@x
+ h2T = f2(y): (3)
At the bottom at surface:
k3
@T
@y
+ h3T = f3(x): (4)
At the top at surface:
k4
@T
@y
+ h4T = f4(x): (5)
In the above equations, temperature, T, is a function
of the space variables, x and y. The term Q is the heat
source function and has been modi ed here to take care
of the variation of resistivity of copper to temperature.
The heat source term, Q, can be of the form:
Q = Q0:[1 + c:(T Tamb)]: (6)
c is the temperature coe cient of electrical resistance
of copper wire. With this representation, function
Q becomes a temperature-dependent, distributed heat
source. Boundary functions f1(y) and f2(y) derived
from Newton's law of cooling are of the following
equations:
f1(y) = h1:(Tb + m1:y); (7)
f2(y) = h2:(Tb + m2:y): (8)
The term Tb is the temperature at the bottom of the
disc or layer as applicable. Terms m1 and m2 are
the temperature gradient along the winding height (for
layer) or along the disc thickness for a disc. Similarly,
functions f3 and f4 representing temperature pro les
across bottom and top surfaces, have the same form
as shown in Equations 7 and 8, where the temperature
gradient term has been taken as zero:
f3(x) = h3:Tb; (9)
f4(x) = h4:Ttop: (10)
Thermal conductivities are unequal in di erent direc-
tions. However, in an actual case, thermal conduc-
tivities in radial directions (k1 and k2) are equal and
conductivities in the axial direction will be the same
(k3 and k4). Thermal conductivity has been treated as
a vector quantity having components in both radial and
3. Estimation of Temperature in Power Transformer Windings 165
axial directions. The resultant thermal conductivity of
the system can be estimated as:
K =
p
k2
r + k2
z; (11)
where:
kr =
log rn
r1
log r2
r1
k1
+
log r3
r2
k2
+ +
log rn
rn 1
kn
;
kz =
kcu:kin:(tcu + tin)
tin:kcu + tcu:kin
:
Term K represents the resultant thermal conductivity
of the insulation and conductor system. Heat transfer
coe cients, h1 to h4 (htc), are di erent across all four
surfaces. To determine boundary functions, f1 to f4, it
is necessary to calculate heat transfer coe cients across
the four surfaces. Di culty has been encountered
in calculation of the heat transfer coe cient. It is
reported elsewhere [10] that it depends on as many as
13 factors (e.g. winding size, type, duct dimensions, oil
velocity, type of oil circulation, heat ux distribution,
oil thermal properties etc.). In this work, corrections
have been given for the temperature-dependence of the
thermal and physical properties of oil, such as viscosity,
speci c heat, volumetric expansion and thermal con-
ductivity. It was found that there is a negligible e ect
of speci c heat, coe cient of volumetric expansion and
conductivity in the present working range of loading
(110-160 C). Following, are some of the heat transfer
relations and relevant formulae in natural cooling (ON)
mode. These formulae have been used to calculate the
htc [14]. The local Nusselt number for laminar ow
over vertical plates has been shown below:
Nu = 0:6 Ra0:2
hf ; (12)
Rahf = GrhfPr; (13)
where Rahf and Grhf are the local Rayleigh and
Grashof numbers based on heat ux (qw) at charac-
teristic dimension ( ). Pr is the Prandtl number of the
transformer oil. The expression of the Rayleigh number
based on constant heat ux is:
Rahf =
g: :Cp:2:qw: 4
k2
oil:
: (14)
The mean Nusselt number in this case can be computed
as:
Num = 1:5[Nu] =l: (15)
However, correction to Equation 12 has to be given for
cylindrical curvature. The correction factor in this case
is of the following form (30 Pr 50):
f() 1 + 0:12; (16)
where:
=
2
p
2
Gr0:25 r
: (17)
Here, Gr is the Grashof number, based on temperature
di erence. The local heat transfer coe cient can be
computed as:
h =
Nu:koil
: (18)
The mean coe cient (hm) can be calculated from the
mean Nusselt number as in Equation 15. After know-
ing the hm for a particular surface, the temperature
di erence between the winding surface and oil can be
found out dividing the hm by the heat ux through
the surface. The mean Nusselt number of the top
surface of annular cylindrical winding for the laminar
and turbulent regimes will normally be of the form:
Num = 0:54 Ra0:25 = 0:61 Ra0:2
hf ; (19)
Num = 0:15 Ra
1
3 = 0:24 Ra
1
4
hf; (20)
=
b a
2
; (21)
where a and b are the inner and outer radius of
the annular disc or layer. The Nusselt number of
the bottom surface of annular cylindrical winding for
the laminar and turbulent regimes is in the following
equation:
Num = 0:27 Ra0:25 = 0:35 Ra0:2
hf : (22)
The axial oil temperature gradient in the presence of
cooling by a constant heat ux can be found out by the
following equation due to [14]:
@T
@y
= 4:25 10 2 qw
koil
:
l
:Dm
4
9
Ra
1
9
hf ; (23)
where l is the winding height, Dm is the mean diameter
of the annular disc or layer of windings. Determination
of boundary conditions in forced convection (OF mode)
also requires calculating htc. When the oil velocity
is lower values, the mean Nusselt number, based
on temperature di erence, is expressed in the form
of Equation 24 and the corresponding mean Nusselt
number, based on constant heat ux, is expressed in
the form of Equation 25:
Num =1:75
Gz+0:012
GzGr
1
3
4
3
1
3
b
w
0:14
;
(24)
4. 166 M.A. Taghikhani and A. Gholami
Num = 1:63
1:8G0:9
z + 0:02
GzGr
1
3
hf
1:161
3
b
w
0:125
; (25)
Gz = Re Pr
D
l
: (26)
Gz is called the Graetz number. Terms b and w
are the viscosity of the oil computed at the oil bulk
mean temperature of oil and at the winding wall
temperature, respectively. Re is the Reynolds number
and Pr is the Prandtl number. The relative importance
of natural and forced cooling is indicated by the factor
fr=Gr/Re2. If fr 1, then both of the cooling modes
have to be considered. At a lower value of this factor,
natural cooling can be ignored. The oil viscosity is
an important property, which depends on temperature.
The formula to consider the oil temperature variation
is given in the following equation [9,10]:
= :exp
Tm
; (27)
where:
= 0:0000013573 (kg.m 1:s 1);
= 2797:3 (K):
The viscosity was calculated at the mean oil and wall
temperature. Initially, the winding surface temper-
ature is not known, so a starting guess for winding
surface temperature has to be made. After calculating
the value of h, the temperature di erence (Tw Toil)
is to agree with the assumed value. To calculate the
winding wall temperature at di erent surfaces, only the
bottom oil temperature is necessary. In this paper, the
bottom oil rise over the ambient temperature has been
calculated as:
u = fl:
I2
r R + 1
R + 1
n
; (28)
where u is the bottom oil temperature rise over
the ambient temperature; fl is the full load bottom
oil temperature rise over the ambient temperature
obtained from an o -line test; R is the ratio of load
loss at rated load to no-load loss. The variable, Ir, is
the ratio of the speci ed load to rated load:
Ir =
I
Irated
: (29)
The exponent n depends upon the cooling state. The
loading guide recommends the use of n = 0:8 for
natural convection and n = 0:9 1:0 for forced cooling.
Assumptions have been made in the calculation
of htc in the ducts provided in the disc-type windings
under Oil-Forced (OF) modes of heat transfer (DOF
and NDOF). The cooling in OF mode is due to mixed
mode (natural and forced) convection. While the oil-
ow velocity in both vertical and horizontal ducts has
been assumed equal, we are in the DOF mode. If the
ow velocity in horizontal ducts is assumed negligible
compared to the velocity in the vertical ducts, we are
in NDOF mode. In case of the DOF mode, the htc
was assumed as a function of both heat ux through
the surface and the oil- ow velocity. The mechanism
of heat transfer in this mode of cooling is the same in
both axial and radial directions of the disc. In case of
the NDOF mode, the htc in the vertical duct has been
estimated by the same formula as for DOF. However,
the convection of heat in the horizontal ducts has been
assumed as a purely natural type.
FINITE ELEMENT SOLUTION OF HEAT
EQUATION FOR THREE-PHASE
TRANSFORMER WINDINGS
For nite element solution of the heat conduction
equation, a software program using the MATLAB code
has been provided. The model has been validated
on a transformer of rating 32 MVA. The Cu-loss (at
Tamb=25 C) in the winding per disc/layer of the above
transformer has been tabulated in Table 1. The result
of temperature distribution in the x, y plan from the LV
layer 1 winding in the 1 p.u. load, with Re = 750, has
been shown in Figure 1. It can be pointed out that, for
LV layer 1 winding, the maximum temperature location
is around 90 to 95% of the winding height from the
bottom and at about 50% of the radial thickness of the
layer.
The result of the temperature distribution from
LV layer 2 winding has been shown in Figure 2. It
can be pointed out that for LV layer 2 winding, the
maximum temperature location is the same as LV
Figure 1. Temperature distribution of LV layer 1 winding
at Tamb = 25 C with Re = 750.
5. Estimation of Temperature in Power Transformer Windings 167
Figure 2. Temperature distribution of LV layer 2 winding
at Tamb = 25 C with Re = 750.
Figure 3. Temperature distribution of HV disc winding
in NDOF mode at Tamb = 25 C with Re = 750.
layer 1 winding. Temperature distribution from a disc
of HV winding has been shown in Figures 3 and 4.
It may be observed that the maximum temperature
occurs in the neighborhood of 30-35% of the axial
and 50% of the radial thickness of the disc in NDOF
Figure 4. Temperature distribution of HV disc winding
in DOF mode at Tamb = 25 C with Re = 750.
mode and 50-55% of the axial and 50% of the radial
thickness of the disc in DOF mode. Magnitudes of
HST at di erent loading and OF modes are given in
Table 2. In this work, di erent rates of forced oil
circulation are taken into account. Figures 5 to 8 show
variations of local HST with load and Reynolds number
in di erent windings and di erent OF modes. Tables 2
and 3 show a comparison of the proposed method with
the boundary value method, using the nite integral
transform used in [10] and the experimental test in [9].
It is clear from Table 2 that the HST in the
case of the NDOF mode is greater than that of
the corresponding DOF mode and so is the average
temperature rise. From Figures 5, 6 and 8, it is also
borne out that an increase in the amount of cooling, by
way of increased oil ow speed, would provide a reduced
winding temperature, which is obvious. However, an
increased oil ow has a lesser e ect on HST in case of
the NDOF mode rather than the DOF mode (Figures 7
and 8). From the results of this investigation, it is clear
Table 1. Characteristics of transformer windings.
Transformer Rating (MVA) Winding Type Cu-Loss (W) Dimensions (mm) a,b,l Remarks
32 LV layer 1 7579 263,287.5,1460 Per layer
32 LV layer 2 8536 301.5,326,1460 Per layer
32 HV disc 570 371,438,21 Per disc
Table 2. HST( C) magnitudes at Tamb = 25 C with Re = 750.
Load (p.u.) HST ( C)-LV HST ( C)-LV HST ( C)-HV Disc Global HST HST-Ref. [10]
Layer 1 Layer 2 NDOF DOF (Proposed)
0.8 95 94 87 67 95 92
0.9 108 107 99 74 108 104
1.0 123 122 112 82 123 117
1.1 140 138 126 91 140 134
1.2 158 156 141 101 158 152
1.3 177 175 157 112 177 183
1.4 199 197 174 124 199 200
1.5 222 220 192 137 222 229
6. 168 M.A. Taghikhani and A. Gholami
Table 3. HST C locations (in LV winding) at Tamb = 25 C.
Load (p.u.) Proposed (Radial Thickness%-Height%) Ref. [9] (Radial Thickness%- Height%)
0.8 50 / 95 44 / 94
0.9 50 / 94.8 45 / 95
1.0 50 / 94.6 45 / 94
1.1 50 / 94.5 45 / 93
1.2 50 / 94.5 45 / 93
1.3 50 / 94.3 49 / 91
1.4 50 / 94.2 49 / 91
1.5 50 / 94 52 / 90
Figure 5. HST (local) distribution of LV layer 1 winding
at Tamb = 25 C.
Figure 6. HST (local) distribution of LV layer 2 winding
at Tamb = 25 C.
Figure 7. HST (local) distribution of HV disc winding in
NDOF mode at Tamb = 25 C.
Figure 8. HST (local) distribution of HV disc winding in
DOF mode at Tamb = 25 C.
that DOF cooling is more e ective than the NDOF
cooling mode as expected.
CONCLUSIONS
In this paper, an attempt has been made to suggest
a method to improve the accuracy of temperature
prediction of the hottest spot in a power transformer
by solving the heat transfer partial di erential equation
(PDE), numerically. The purely numerical approach
followed in this paper for evaluating the hot spot and
its location seems to correspond reasonably well with
results of calculations and actual tests and on site mea-
surements [9,10]. The authors wish to point out that
the IEEE loading guide and other similar documents
o er relations for calculation of the HST, based on
per-unit load. The formulations tend to ignore the
possibilities of two transformers that are rated identical
but have a di erent winding structure and a varying
heat loss/unit volume. The method suggested by the
authors gives due representation for this omission and,
hence, is believed to give more accurate estimates.
The thermal model presented here can predict the hot
spot location with a reasonable degree of accuracy.
The authors are currently working on a 3D model of
a transformer for the estimation of temperature at
di erent points of the transformer, knowing the load
conditions. A two-dimensional model is suitable for
7. Estimation of Temperature in Power Transformer Windings 169
estimation of the temperature at transformer windings
and is not useful for the core; because in a two-
dimensional case, we use the assumption that the core
is symmetrical in all directions, which is not a correct
assumption. If we want to estimate temperature
distribution at the core of the power transformer, we
must use a three-dimensional model.
NOMENCLATURE
l thickness of the disc or height of layer
winding (m)
n temperature rise exponent to bottom
oil
Cp speci c heat of transformer oil
(J.kg 1.K 1)
koil thermal conductivity of transformer oil
(W.m 1.K 1)
a inner radius of the annular disc or
layer (m)
b outer radius of the annular disc or
layer (m)
Dm mean diameter of annular disc or layer
of windings (m)
fr relative index of free-to-forced
convection
Gz Graetz number
Grhf Grashof number based on constant
heat ux
Gr Grashof number based on temperature
di erence
k1 thermal conductivity at inner cylinder
surface (W.m 1.K 1)
k2 thermal conductivity at outer cylinder
surface (W.m 1.K 1)
k3 thermal conductivity at bottom
cylinder surface (W.m 1.K 1)
k4 thermal conductivity at top cylinder
surface (W.m 1.K 1)
h1 heat transfer coe cient at inner surface
(W.m 2.K 1)
h2 heat transfer coe cient at outer
surface (W.m 2.K 1)
h3 heat transfer coe cient at bottom
surface (W.m 2.K 1)
h4 heat transfer coe cient at top surface
(W.m 2.K 1)
f1 boundary function at inner cylinder
surface
f2 boundary function at outer cylinder
surface
f3 boundary function at bottom cylinder
surface
f4 boundary function at top cylinder
surface
kcu thermal conductivity of copper
(W.m 1.K 1)
kin thermal conductivity of insulation
(W.m 1.K 1)
m oil temperature gradient along winding
height (K.m 1)
Num mean Nusselt number
Nu local Nusselt number
qw heat ux in (W.m 2)
r0
is radius of insulation and conductor
layers (m), i = 1;2;:::
Rahf Rayleigh number based on constant
heat ux
Ra Rayleigh number based on temperature
di erence
Tamb ambient temperature (K)
Tb temperature at the bottom of the
winding (K)
Ttop temperature at the top of the winding
(K)
Tm temperature average of oil and winding
surface (K)
tcu thickness of conductor (m)
tin thickness of insulation (m)
g acceleration due to gravity (m.s 2)
R loss ratio = load loss/no load loss
Re Reynolds number
Pr Prandtl number
Q volumetric heat source function
(W.m 3)
Q0 volumetric heat source at ambient
temperature (W.m 3)
kr thermal conductivity in radial direction
(kr = k1 = k2)
kz thermal conductivity in axial direction
(kz = k3 = k4)
K referred to as equivalent thermal
conductivity
LV low voltage
HV high voltage
p.u. per unit
DOF directed oil-forced cooling
NDOF non-directed oil-forced cooling
Greek Symbols
coe cient of volumetric expansion of
oil (K 1)
8. 170 M.A. Taghikhani and A. Gholami
u ultimate bottom oil temperature rise
over ambient temperature at rated
load (K)
fl ultimate bottom oil temperature rise
over ambient temperature at related
load (K)
characteristic dimension (m)
density of transformer oil (kg.m 3)
f() correction factor for cylindrical
curvature
c temperature coe cient of electrical
resistance (K 1)
viscosity of oil (kg.m 1.s 1)
b viscosity of oil at oil bulk mean
temperature (kg.m 1.s 1)
w viscosity of oil at winding wall
temperature (kg.m 1.s 1)
Subscripts
b bulk property
m mean value
w wall value
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