Energy Engg Syllabus
Energy Engg Syllabus
ME ENERGYENGINEERING
(2018 REGULATIONS)
(Minimum No. of credits to be earned: 71) *
Course Hours/Week Maximum Marks
Course Title Credits CAT
Code Lecture Tutorial Practical CA FE Total
I SEMESTER
18SE01 Applied Numerical Analysis 2 2 - 3 50 50 100 FC
18SE02 Concepts of Energy Engineering 3 - - 3 50 50 100 FC
18SE03 Energy Conservation and Management 2 2 - 3 50 50 100 PC
18SE04 Instrumentations for Energy Systems 3 - - 3 50 50 100 PC
18SE -- Stream Specific Core 1 3 - - 3 50 50 100 PC
18SE51 Energy Engineering Laboratory - - 4 2 100 - 100 PC
Total 21hrs 13 4 4 17 350 250 600
II SEMESTER
18SE07 Energy Resources, Economics and Environment 2 2 - 3 50 50 100 PC
18SE08 Computational Fluid Dynamics 3 - - 3 50 50 100 PC
18SE -- Stream Specific Core 2 3 - - 3 50 50 100 PC
18SE -- Stream Specific Core 3 3 2 - 4 50 50 100 PC
18SE -- Professional Elective 1 3 - - 3 50 50 100 PE
15SE -- Professional Elective 2 3 - - 3 50 50 100 PE
18SE52 Computational Fluid Dynamics Laboratory 0 - 4 2 100 - 100 PC
18SE61 Industry Visit and Technical Seminar - - 4 2 100 - 100 EEC
Total 29hrs 17 4 8 23 500 300 800
III SEMESTER
18SE -- Professional Elective 3 3 - - 3 50 50 100 PE
18SE -- Professional Elective 4 3 - - 3 50 50 100 PE
18SE -- Professional Elective 5 3 - - 3 50 50 100 PE
18SE -- Professional Elective 6 3 - - 3 50 50 100 PE
18SE53 Energy Simulation Laboratory 0 - 4 2 100 - 100 PC
18SE71 Project Work I 0 - 6 3 100 - 100 EEC
Total 22hrs 12 - 10 17 400 200 600
IV SEMESTER
18SE72 Project Work II - - 28 14 50 50 100 EEC
CAT – Category; FC– Foundation Course; PC – Professional Core; PE – Professional Elective ;EEC – Employability
Enhancement Course.
I SEMESTER
2203
NUMERICAL SOLUTION OF SYSTEM OF EQUATIONS: Solving system of linear equations –Thomas algorithm, Gauss Jacobi and
Gauss Seidel method, successive over relaxation method, system of non-linear equations - Newton Raphson method, eigenvalues -
power method and inverse power method. Curve fitting - linear regression, multiple linear regression, cubic splines - Bezier curves and
B-splines. (12)
NUMERICAL SOLUTION TO ODE: Boundary value problem - Shooting method, finite difference method, derivative boundary
conditions. Finite Element Method - Rayleigh-Ritz method, Collocation and Galerkin method. (11)
NUMERICAL SOLUTION TO PDE: Finite difference method: Liebmann’s method for Laplace and Poisson equation, alternating direct
implicit method, irregular and non-rectangular grids, explicit method and Crank-Nicolson method for parabolic equations, explicit method
for hyperbolic equations. (11)
MODELLING AND SIMULATION: Simulating deterministic behaviour, area under a curve, generating random numbers, simulating
probabilistic behaviour, inventory model: gasoline and consumer demand. (11)
Total L:30+T:30=60
REFERENCES:
1. Curtis F Gerald and Patrick O Wheatley, Applied Numerical Analysis, Pearson Education, New Delhi, 2013.
2. Steven C Chapra and Raymond P Canale, Numerical Methods for Engineers with Software and Programming Applications, Tata
McGraw-Hill, New Delhi, 2013.
3. John H Mathews and Kurtis D Fink, Numerical Methods using MATLAB, Prentice Hall, New Delhi, 2010
4. Douglas J Faires and Richard Burden, Numerical Methods, Cengage Learning, New Delhi, 2013.
5. Frank R Giordano, William P Fox and Steven B Horton, A first course in Mathematical Modeling, Cengage Learning , New Delhi,
2014.
Related
Course objectives Course Outcomes Program
outcomes
• To impart knowledge on CO1 Apply fluid mechanics concepts for sizing and A
fluid mechanics, heat selection of fluid machinery
transfer and electrical Analyze heat transfer problems and apply
systems and facilitate their CO2 different techniques for heat transfer A,B
application enhancement
Apply the concepts of electrical systems to
• To familiarize energy CO3 select suitable systems for industrial E
sources for sustainable applications
energy conversion Conceptualize systems to convert energy from A
CO4
the renewable sources
FLUID MACHINERY SIZING AND SELECTION: Mass and momentum balance, continuity equation, Euler’s and Bernoulli’s equation,
major and minor losses, Navier - Stokes equation, principles of operation and selection of fluid machinery, hydraulic turbines and
pumps. (12)
SIZING OF HEAT TRANSFER EQUIPMENT: Conduction: One dimensional steady state heat conduction, composite walls, critical
thickness; Convection: free convection, forced convection; Radiation: Physical mechanism, radiation properties, radiation shape
factors; principles of operation and sizing of heat exchangers and cooling tower. (12)
SELECTION OF ELECTRICAL SYSTEMS: Working principle and selection: Transformer, Induction motor and generators; Speed
control techniques; DC machines; Power Systems: generation, distribution and transmission, Power converters. (10)
RENEWABLE ENERGY SYSTEMS: Working principle and resource assessments: Solar, Wind, Biomass, Ocean - thermal, tide,
wave; OTEC, geo-thermal, energy storage systems. (11)
Total L: 45
REFERENCES:
1. Wylie, E. Benjamin, and Victor Lyle Streeter, "Fluid Mechanics" ,McGraw-Hill International Book Co., 2017.
2. Bergman, Theodore L., and Frank P. Incropera, “Fundamentals of heat and mass transfer”, John Wiley and Sons, 2017.
3. Sukhatme S P, “A Text book on Heat Transfer”, Orient Longman, 2005.
4. El-Wakil, Mohamed Mohamed, “Power plant technology”. Tata McGraw-Hill Education, 2013.
5. Wilde, Theodore, "Electrical Machines, Drives and Power System", 2005.
2203
Related
Course objectives Course outcomes program
outcomes
Develop procedures for conducting energy
audit in different utilities in accordance with
CO1 A
national and international energy regulations
• To impart knowledge on energy
managementand facilitate Evaluate the performance of thermal utilities
application of energy CO2 like furnace, boilers and steam distribution
A, E
conservation techniques in systems to improve efficiency
process industries
Evaluate the performance of a electrical
CO3 utilities like pumps, fans blowers to improve
• To impart knowledge on A, B
efficiency
thermal and electrical utilities
for evaluating energy saving Carryout performance assessment and
potential suggest methods to improve the overall
CO4
efficiency for different energy intensive A
industries
ENERGY MANAGEMENT: Scope of energy audit, types of energy audit, detailed energy audit methodology, role of energy managers
in industries; Energy Management System (EnMS): ISO standards, implementing energy efficiency measures, detailed project report,
energy monitoring and targeting, identification of energy conservation measures / technologies, economic and cost benefit analysis,
ESCOS. (7)
ENERGY EFFICIENCY IN THERMAL UTILITIES: Steam engineering in thermal and cogeneration plants- steam traps and various
energy conservation measures; Boilers- losses and efficiency calculation methods, controls. Furnaces- heat balance in furnaces,
furnace efficiency calculations, energy conservation opportunities in furnaces, Insulation and Refractories. (7)
ENERGY EFFICIENCY IN ELECTRICAL UTILITIES: Electrical system, motor, harmonics, diesel generator, centrifugal pumps, fans
and blowers, air compressor, lighting system – energy consumption and energy saving potentials, design considerations. (7)
PERFORMANCE ASSESSMENT: Industrial case studies – assessment of energy generation/consumption in thermal station, steel
industry, cement industry, textile industry, etc. (9)
Total L:30+T:30=60
REFERENCES:
1. Energy Audit Manual The Practitioner’s Guide, EMC-Kerala and NPC 2017.
2. Bureau of Energy Efficiency - Energy Management Series, 2006.
3. Eastop T.D and Croft D.R, “Energy Efficiency for Engineers and Technologists”, Logman Scientific and Technical, 1990.
4. Reay D.A, “Industrial Energy Conservation”, Pergamon Press, 1979.
5. Openshaw Taylor E, "Utilisation of Electric Energy", Orient Longman Ltd, 2003.
6. Donald R Wulfinghoff, “Energy Efficiency Manual”, Energy Institute Press, 1999.
Related
Course objectives Course outcomes program
outcomes
Analyze the error components in the
CO1 measuring instruments for given conditions
• To familiarize the working and perform electrical measurements
principles of measuring Select appropriate method of measurement of
instruments and facilitate CO2 temperature and pressure for a given
performing error analysis application and estimate the error
Select appropriate method of measurement of
• To facilitate selection of CO3 flow for a given application and estimate the
appropriate measuring techniques error
for evaluation of energy CO4 Select appropriate method of measurement of
conversion systems air pollution for a given application
INSTRUMENTATION SYSTEM AND ELECTRICAL ENERGY MEASUREMENT: Measurement terminologies, precision, range,
accuracy, span, linearity, sensitivity, resolution, random errors, systematic errors, relative and absolute errors, uncertainty analysis of
single and multiple measurements – calibration of instruments – range –resolution – span – linearity, sensitivity- signal conditioning
system; Electrical Energy Measurement: Power factor, load factor, harmonic analyzer, lighting and lamination measurement, digital
data processing and data acquisition system. (12)
TEMPERATURE AND PRESSURE MEASUREMENT: Working principle of various temperature devices, thermocouples, thermistor,
RTD, measurement analysis, infrared camera; Working principle of pressure transducers and laser induced fluorescence (LIF),
quantification, basics of algorithm used for quantification- calibration of Pressure measuring equipment, principles and operation of
various vacuum pumps and gauges. (12)
FLOW MEASUREMENT: Variable head flow meters- rota meters-working principle of hot wire/film anemometry and particle image
velocimetry, quantification, electromagnetic flow meters, ultrasonic flow meters. (11)
AIR POLLUTION AND ENERGY MEASUREMENTS: Particulate sampling techniques, SO2, Combustion Products, opacity, odour
measurements - Measurement of liquid level, Humidity, O2, CO2 in flue gases- pH measurement, moisture analyzer. (10)
Total L: 45
REFERENCES:
1. Sawhney A K and Puneet Sawhney, “A Course in Mechanical Measurements and Instrumentation”Dhanpat Raiand Co 2017.
2. Doebelin EO, “Measurement Systems - Application and Design”, McGraw-Hill, 2017.
3. Rangan C S, Sharma G R and Mani V S V, “Instrumentation Devices and Systems”, Tata McGraw-Hill, 2016.
4. Holman JP, “Experimental methods for engineers”, McGraw-Hill, 2011.
5. Bechwith, Marangoni and Lienhard, “Mechanical Measurements” Addison-Wesley, 2009.
18SE51 ENERGY ENGINEERING LABORATORY
0 0 4 2
Related
Course Objectives Course Outcomes Program
outcomes
1. To impart knowledge on working Demonstrate an understanding of the
and performance evaluation of working principles, construction and various
various energy systems CO1 operating parameters of energy conversion A, G
equipments
2. To facilitate analysis of energy
systems using various methods
Evaluate the performance of various energy
and tools
CO2 systems and infer on the effect of operational B, G
parameters on the performance
In this course, students will be provided with an orientation programme on the following equipment/software. After this orientation,
each student is expected to formulate and complete an activity of interest which has to be derived from the orientation programme
under the guidance of a faculty. The details like background, problem definition, state of technology/knowledge in that area by a good
literature review (5 latest papers), objectives, methodology, equipment that can be used (from the orientation programme), results
from the experiments and their interpretation will respect to the assumption/background and a formal conclusion are expected in the
report which is to be submitted at the end of the semester. This work is evaluated for the credit assigned. Expected hours needed for
this work is 45 hours.
REFERENCES:
1. Energy engineering lab manual, Department of mechanical engineering, PSG College of Technology.
2. Solar concentrator training system, Experimental manual, Ecosense world, New Delhi.
3. Wind energy training system, Experimental manual, Ecosense World, New Delhi.
II SEMESTER
Related
Course objectives Course outcomes program
outcomes
Demonstrate an understanding of
economics of energy utilization in various
CO1 sectors and perform cost structure and
• To familiarize on the trends in cost benefit analysis
economics of energy use in various
sectors and facilitate energy Perform forecast analysis and provide
CO2
modeling to make policy decisions data for decisions on energy policy
ENERGY RESOURCES: Current trends in energy production and consumption, world energy flows, energy and economic growth,
supply and availability; Electric utilities and regulations, cost structure analysis, economics of energy use in agriculture, transport,
building, Industry and energy substitution, cost benefit analysis – carbon credit and footprint. (7)
ENERGY MODELING AND FORECASTING: Modeling concepts like simulation, equilibrium, optimization, concept of energy
multipliers and implications of energy multipliers for analysis of regional, national energy policy, energy and environmental input –
output analysis including I-O model, interfile substitution models, SIMA model, Markal model for energy policy analysis, methodology
for energy demand analysis including regression, econometric energy demand modeling, end-use method of energy demand analysis,
time series method, techno-economic approach to forecasting, case studies on forecasting energy needs. (7)
ENERGY ECONOMICS: Simple payback period, time value of money, IRR, NPV, life cycle costing, cost of saved energy, and cost of
energy generated, examples from energy generation and conservation, energy chain, primary energy analysis, life cycle assessm ent,
net energy analysis, case studies on life cycle costing. (7)
ENVIRONMENTAL IMPACTS OF ENERGY USE: Global warming - sources of emissions, CO2 emissions, impacts, mitigation and
sustainability. environmental standards, legislation and audits, air pollution - SOx, NOx, CO, particulates, solid and water pollution,
formation of pollutants, measurement and controls; Effect of operating and design parameters on emission, control methods, exhaust
emission test and procedures, case studies on analysis of energy projects for environmental impact assessment and mitigation.
(9)
Total L:30+T:30=60
REFERENCES:
1. Energy and the Challenge of Sustainability, World energy assessment, UNDP New York, 2004.
2. AKN Reddy, RH Williams, TB Johansson, Energy after Rio, Prospects and challenges, UNDP, United Nations Publications,
New York, 1997.
3. Nebojsa Nakicenovic, Arnulf Grubler and Alan McDonald “Global energy perspectives”, Cambridge University Press, 1999.
4. Fowler, J.M ., “Energy and the environment”, McGraw Hill,1984.
5. Robert Ristirer, and Jack P. Kraushaar., “Energy and the environment”,Willey,2005.
18SE08 COMPUTATIONAL FLUID DYNAMICS
3003
Related
Course objectives Course outcomes program
outcomes
Apply the principles to develop governing
CO1 equations for fluid flow and solve them
• To familiarize on computational computationally
approaches towards solving fluid
Demonstrate an understanding of the
flow problems CO2 numerical methods and apply them to solve
CFD problems
• To impart knowledge on CFD
CO3 Select a suitable technique for solving fluid
techniques for solving fluid flow flow problems to achieve solution accuracy
problems
CO4 Select appropriate turbulence model for a
given fluid flow problem
CFD AND THERMO-FLUIDS: Review on the physics of thermo-fluids, governing equations -continuity, momentum, and energy
conservation - modeling, grid generation, simulation, and high performance computing. (10)
COMPUTATIONAL APPROACH: Finite difference method, forward, backward and central difference schemes, explicit and implicit
methods, properties of numerical solution methods, stability analysis, and error estimation, difference between FDM and FVM,
approximation of surface integrals, approximation of volume integrals, interpolation practices, implementation of boundary conditions,
specification for a CFD simulation, requirements for accurate analysis and validation for multi scale problems. . (12)
CFD TECHNIQUES: Mathematical classification of flow, hyperbolic, parabolic, elliptic and mixed flow types, Lax - Wendroff technique,
MacCormack’s technique, relaxation technique, artificial viscosity, ADI technique, pressure correction technique, SIMPLE algorithm,
upwind schemes, flux vector splitting. (12)
TURBULENCE MODELING AND CFD APPLICATIONS: Turbulence energy equation, one-equation model, two-equation models
(k-ω and k- ε models), review on advanced turbulence models, applications to fluid flow and heat transfer problems. (11)
Total L: 45
REFERENCES:
1. Muralidhar K and Sundararajan T, “Computational Fluid Flow and Heat Transfer”, Narosa Publications, 2009.
2. Chung T J, “Computational Fluid Dynamics”, Cambridge University Press, 2010.
3. Joel H Ferziger and MilovanPeric, “Computational Methods for Fluid Dynamics”, Springer Publications, 2002.
4. John D Anderson, “Computational Fluid Dynamics – The Basics with Applications”, McGraw Hill, 1995.
5. Versteeg H K and Malalasekara W, “An Introduction to Computational Fluid Dynamics - The Finite Volume Method', Longman,
2007.
18SE52 COMPUTATIONAL FLUID DYNAMICS LABORATORY
0042
Related Program
Course Objectives Course Outcomes
outcomes
1. To impart working knowledge on Demonstrate an understanding of the
commercial CFD software CO1 fundamental physics, principles and selection A, E, G
methodology of physical elements in CFD
2. To impart knowledge on the
solution methods for simple real Perform solid modeling; analyze heat
time problems transfer, mass transfer and fluid flow
CO2 B, G
problems using CFD software and interpret
the results
In this course, students will be provided with an orientation programme on the following equipment/software. After this orientation,
each student is expected to formulate and complete an activity of interest which has to be derived from the orientation programme
under the guidance of a faculty. The details like background, problem definition, state of technology/knowledge in that area by a good
literature review (5 latest papers), objectives, methodology, equipment that can be used (from the orientation programme), results
from the experiments and their interpretation will respect to the assumption/background and a formal conclusion are expected in the
report which is to be submitted at the end of the semester. This work is evaluated for the credit assigned. Expected hours needed for
this work is 45 hours.
REFERENCES:
1. CFD lab manual, Department of mechanical engineering, PSG College of Technology.
TECHNICAL SEMINAR: Technical presentation and report preparation on current topics based on research publications related to
Energy Engineering.
Total P: 60
REFERENCES:
1. Energy Audit Manual – The Practioners Guide, Energy Management Centre, Kerala, 2017.
2. Mitchell John H, “Writing for Professional and Technical Journals”, John Wiley and Sons Inc., 2001.
III SEMESTER
MINI PROJECT: Modeling and simulation of energy systems using application software.
REFERENCES:
1. Energy simulation lab manual, Department of mechanical engineering, PSG College of Technology.
0063
CO No. Description of Course Outcome
Problem identification, literature survey, Solution generation, Experimentation/ data
CO1
collection/code development and evaluation results
CO2 Documentation and presentation of the work done in the given structure and format
1. Identification of a real life problem in thrust areas.
2. Developing a mathematical model for solving the above problem.
3. Finalization of system requirements and specification.
4. Proposing different solutions for the problem based on literature survey.
5. Future trends in providing alternate solutions.
6. Consolidated report preparation of the above.
IV SEMESTER
0 0 28 14
CO No. Description of Course Outcome
Problem identification, literature survey, Solution generation, Experimentation/ data
CO1
collection/code development and evaluation results
CO2 Documentation and presentation of the work done in the given structure and format
2. A report highlighting the design finalization [based on functional requirements and standards (if any) ]
CORE ELECTIVE 1
3003
Related
Course objectives Course outcomes program
outcomes
Demonstrate an understanding of
• To impart knowledge on CO1 thermodynamics concepts and perform energy
thermodynamic concepts and balance on combustion systems
combustion theory and facilitate Select and size equipments such as fans,
CO2
their application blowers and chimney based on combustion
theory
• To familiarize performance CO3 Analyze and assess the performance of
evaluation of furnaces and combustion system of industrial furnaces
boilers CO4 Analyze and assess the performance of
combustion system of industrial boilers
COMBUSTION THEORY: Stoichiometry, lean and rich mixture, basic reaction chemistry, chemistry of combustion, energetics, types
of flame, pre mixed, diffusion, laminar and turbulent flames, adiabatic flame temperature, burners and types. (12)
COMBUSTION IN FURNACE: Furnace types and classification, aerodynamic and heat transfer in furnaces, the single gas-zone
model, the "long" furnace and other multi-zone models, effect of operating variables, reduction of furnace-wall losses, temperature
control in industrial furnaces, oxygen enrichment in combustion processes. (11)
COMBUSTION IN INDUSTRIAL BOILERS: Sectional, shell and water-tube boilers, design features of shell boilers, boiler water
treatment and conditioning, gas-side corrosion and fouling problems, oil and gas-firing of boilers, coal firing, wastes as boiler
fuel, boiler efficiency and part-load operation, condensing boilers.
(11)
FORMATION OF FLUE GAS AND ANALYSIS: Formation of unburnt combustibles, NOx, SOx, particulates; Thermal oxidizer,
scrubber, thermo-gravity analyzer, Fourier-transform infrared spectroscopy (FTIR), cyclone separator, precipitator (11)
Total L: 45
REFERENCES:
1. Kenneth Kuan-yunKuo, “Principles of Combustion”, Wiley - Interscience, 2005.
2. Colin R Ferguson and Allan T Kirk Patrick, “Internal Combustion Engines”, John Wiley and Sons. Inc. 2015.
3. Stephen R Turns, “Introduction to Combustion: Concepts and Applications”, McGraw Hill, 2011.
4. Gary L Borman and Kenneth W Ragland, “Combustion Engineering”, McGraw Hill, 2011.
5. Winterbone D and Elesaier, “Advanced Thermodynamics for Engineers”, 2015.
INTRODUCTION TO STATE SPACE MODELLING: Review of basic control theory, control design techniques such as P, PI, PID and
lead lag compensator design, state space control design approach, modeling of physical systems, solution to vector differential
equations and state transition matrix, Controllability and Observability. (8)
SMALL SIGNAL MODEL OF POWER CONVERTERS: Linearizing averaged power stage dynamics, frequency response of converter
power stage, small-signal gain of PWM block, small-signal model for PWM, DC to DC converters. (9)
TRANSFER FUNCTIONS AND STATE SPACE MODEL OF POWER CONVERTER: Bode plot for transfer functions, power stage
transfer functions and state space modeling of buck converter, boost converter, and buck/boost converter, empirical methods f or
small-signal analysis. (9)
DYNAMIC PERFORMANCE AND CLOSED LOOP PERFORMANCE OF POWER CONVERTERS: Frequency domain performance
criteria, time-domain performance criteria; Stability of power converters - nyquist criterion; Relative stability: gain margin and phase
margin. (6)
Asymptotic analysis method, frequency domain performance, voltage feedback compensation and loop gain, compensation design
and closed-loop performance. (5)
Introduction to nonlinear systems: Phase plane analysis of nonlinear system using linear approximation - Limit cycle and periodic
solutions - Singular points and qualitative behavior; Stability of nonlinear systems - Lyapunov direct and indirect methods. (8)
Total L: 45
REFERENCES:
1. Pulsewidth Modulated DC-to-DC Power Conversion Circuits, Dynamics, and Control Designs, Byungcho Choi, IEEE Press,
Published by John Wiley & Sons, Inc, 2013.
2. Sira -Ramirez, R.Silva Ortigoza, ‘Control Design Techniques in Power Electronics Devices’, Springer, 2006.
3. Ogata, K., ‘Modern Control Engineering’, Prentice Hall of India, 2010.
4. Chen C.T., ‘Linear Systems Theory and Design’’ Oxford University Press, 1999.
5. Hassan K. Khalil, ‘Nonlinear Systems’, Pearson Educational International Inc. Upper Saddle River, 2001.
6. Applied Nonlinear Control, Jean-Jacques E. Slotine, Weiping Li, Prentice Hall, 1991 -Technology & Engineering.
CORE ELECTIVE 2
THERMAL SYSTEMS: Energy systems, heat exchangers – classification, review of different design methodologies, pressure drop
analysis, thin fin analysis, fouling, corrosion, and erosion, design and operational issues, exergy analysis, surface comparisons, size
and weight relationships. (12)
MODELLING OF THERMAL SYSTEMS: Design of energy systems- mathematical analysis - thermodynamic modeling and analysis
of energy conversion equipments - heat exchangers, motors, fans, pumps, compressors, turbines, piping, ducts, etc. and efficiency
analysis. (12)
HEAT TRANSFER ENHANCEMENT TECHNIQUES: Flow misdistribution and header design, reduction of non-uniform heat transfer
in heat exchangers, reduction of fouling, role of pitch analysis in a thermal system. (11)
WASTE HEAT RECOVERY SYSTEMS: Sources of waste heat, selection of waste heat recovery technologies and financial
considerations, design aspects of waste heat recovery systems. (10)
Total L: 45
REFERENCES:
1. Stoecker W G, “Design of Thermal Systems”, McGraw Hill, 2011.
2. Robert F Boehm, “Developments in the Design of Thermal Systems”, Cambridge University Press, 2016.
3. Ramesh K Shah and Dusan P Sekulic, “Fundamentals of Heat Exchanger Design”, Wiley Publications, 2007.
4. SadikKakac and Hongtanliu, “Heat Transfer Enhancement of Heat Exchangers”, Kluwer academic publishers, 1998.
5. Ralph L WebbandNae – Hywn Kim, “Principles of Enhanced Heat Transfer”, Taylor and Francis, 2005.
3003
GENERALIZED THEORY & LINEAR TRANSFORMATION: Conversions, basic two pole machine, transformer with movable
secondary, transformer voltage and speed voltage, kron’s primitive machine, invariance of power, transformation from displaced
brush axis three phases to two phases, rotating axes to stationary axes, transformed impedance matrix, torque
calculations. (11)
INDUCTION MACHINES: Generalized representation, performance equations, steady state analysis, transient analysis, single phase
induction motor, transfer function formulation, double cage machine, harmonics. (11)
SYNCHRONOUS MACHINES: Generalized representation, steady state analysis, transient analysis, electromechanical transient.
(11)
DC & SPECIAL MACHINES: Generalized representation, operation with displaced brushes, motor (shunt type only) operation, steady
state and transient analysis, generalized representation and steady state analysis of reluctance motor, brushless DC motor, variable
reluctance motor. (12)
Total L : 45
REFERENCES:
1. Bimbhra P.S., "Generalised Circuit Theory of Electrical Machines", Khanna Publishers, Delhi, 2002.
2. Adkins B., “The Generalized Theory of Electrical Machines”, Dover Publishers, 1980.
3. Chee- Mun Ong “Dynamic simulation of electrical machinery using MATLAB” Prentice – Hall, Inc, 1998.
4. Krishnan R., “Electric Motor & Drives: Modeling, Analysis and Control”, Prentice Hall of India, 2001.
5. Krause, P.C., O. Wasynczuk, and S.D. Sudhoff, “Analysis of Electric Machinery”, IEEE Press, 2002.
CORE ELECTIVE 3
3204
Related
Course objectives Course outcomes program
outcomes
• To familiarize on the availability Apply physical principles of solar insolation C
CO1
of renewable energy resources to develop solar thermal systems
for sustainable conversion of CO2 Estimate the wind potential and perform A
energy forecast analysis
Apply design concepts to develop wind
• To impart knowledge on energy CO3 C
energy systems with a minimal impact on
conversion systems in solar, environment
wind and biomass and facilitate
developing systems for different CO4 Demonstrate an understanding of E
applications producing useful energy from bio-mass
SOLAR THERMAL CONVERSION: Properties of solar radiation, absorption of light by the atmosphere, spectral distribution of
sunlight, thermo-dynamical description of solar collectors, optical properties of solar collectors, technologies for fabrication of solar
collectors, design of solar thermal systems for different applications. (12)
WIND AND WIND RESOURCE: The nature of the wind, geographical variation in the wind resource, long-term wind-speed variations,
annual and seasonal variations, Synoptic and Diurnal variations; Turbulence - the boundary layer; Wind-speed prediction and
forecasting. (11)
WIND POWER CONVERSION: Aerodynamic concepts, Betz's law of maximum power, rotor blade theory, design of blade Geometry
and rotor diameter, performance curves, wind turbine siting and issues. . (11)
BIOMASS AND BIOGAS: Concepts and systems, sources, energy plantations; Design: pyrolysis, gasification and liquefaction
systems; biogas, fermentation and wet processes, chemicals from biomass and biotechnology, biofuels. (11)
Total L:45+T:30=75
REFERENCES:
1. Frank Kreith and Yogi Goswami D, “Handbook of Energy Efficiency and Renewable Energy”, CRC Press, 2017.
2. Kothari P, Singal K C and RakeshRanjan, “Renewable Energy Sources and Emerging Technologies”, PHI Pvt. Ltd., 2011.
3. Sukhatme S P and Nayak J K, “Solar Energy - Principles of Thermal Collection and Storage”, Tata McGraw Hill, 2017.
4. Rai G D, "Non Conventional Sources of Energy", Khanna Publishers, 2009.
5. Bent Sorensen, “Renewable Energy”, Academic Press, 2011.
6. Abbasi S A and NaseemaAbbasi, “Renewable Energy Sources and their Environmental Impact”, PHI Private Limited, 2010.
7. Tony Burton, David Sharpe, Nick Jenkins, Ervin Bossanyi, “Wind Energy Handbook”, John Wiley and Sons, 2011.
18SE12/18ED09 POWER ELECTRONICS IN WIND AND SOLAR POWER CONVERSION
3204
SOLAR PV AND WIND POWER: Trends in energy consumption, world energy scenario, energy sources and their availability,
conventional and renewable sources, solar PV and wind potential in india and world, solar and wind data, policies and regulations,
standards and codes used for renewable energy systems. (11)
SOLAR PHOTOVOLTAIC ENERGY CONVERSION: Solar radiation and measurement, solar cells and their characteristics,
classification of solar PV panels, influence of insolation and temperature, PV arrays, maximum power point tracking algorithms, power
conditioning schemes, charge controllers, inverters – classifications and design, analysis of PV systems, BOS components, stand
alone and grid integrated solar PV systems, building integrated PV (BIPV), synchronized operation with grid supply, harmonic
standards, harmonic problems. (12)
WIND ENERGY CONVERSION SYSTEMS: Basic principle of wind energy conversion, nature of wind, power in the wind, components
of wind energy conversion system (WECS), wind farm and its accessories, generators used in wind energy conversion systems,
performance of induction generators for WECS, power conditioning schemes, controllable DC power from seigs, system
performance, grid connected WECS, concepts of grid integration, grid related problems, generator control , performance
improvements, different schemes, ac voltage controllers, harmonics and PF improvement. (11)
HYBRID POWER SYSTEMS: wind / solar PV integrated systems – other alternate systems – requirements - optimization of system
components power conditioning schemes for hybrid power systems (HPS) – design of HPS using software - storage types
and selection methods - applications of HPS. (11)
Total L:45+T:30=75
REFERENCES:
1. Mukund R Patel, “Wind and Solar Power Systems”, CRC Press, 2004.
2. Rai, G.D., "Non-conventional Energy Sources", Khanna Publishers, 2002.
3. Daniel, Hunt, V., "Wind Power - A Handbook of WECS", Van Nostrend Co., 1998.
4. S Sumathi, Ashok Kumar L, S Sureka, “Solar PV and Wind Energy Conversion Systems - An Introduction to Theory,
Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques”, Green Energy and Technology, Springer;
2015.
5. Thomas Markvart and Luis Castaser, “Practical Handbook of Photovoltaics”, Elsevier Publications, 2003.
6. Roger A. Messenger, Jerry Ventre,” Photovoltaic System Engineering” CRC Press, 2004.
3003
Related
Course objectives Course outcomes program
outcomes
Perform life cycle analysis and suggest
• To impart knowledge on CO1 strategies for cleaner production
concepts of cleaner production
and facilitate developing Assess the industrial process to reduce
CO2
strategies for emission control environmental impacts with efficient operation
PROCESS INTEGRATION: Process optimization by integrating energy and environmental aspects, energy management concepts
and measures to improve energy efficiency. Energy and water pinch as waste minimization tool, occupational health and safety, quality
of product, and other aspects of CP. (11)
CLEAN DEVELOPMENT MECHANISM (CDM): Carbon credit, CER, Baselines in CDM, its context, key elements and concepts,
additionality assessment, investment analysis, barrier analysis, common practice analysis, impact of CDM registration, baseline for
small scale CDM projects, small scale CDM project criteria and types, project categories and approved methodologies. (11)
CDM PROJECTS AND EVALUATION: Establishing baselines for large scale CDM projects, procedures for the submission and
approval of new methodologies. Baselines for a forestation and reforestation projects, sequestration projects, determining eligibility
and establishing the baseline tools and models for estimating baseline emissions, estimation of energy savings and GHG emissions
reductions, carbon credit, case study - Green energy concept. (12)
Total L: 45
REFERENCES:
1. Anne Offit, Pollution Prevention and Sustainability, Syrawood Pub House, 2018.
2. Biagio F. G, Cecilia M. V. B. A, Feni A, “Advances in Cleaner Production”, Nova Science Publishers Inc, 2016.
3. Klemes J, Handbook of Process Integration, Woodhead Publishing, 2013.
4. Ian C. K, Pinch Analysis and Process Integration, Butterworth-Heinemann, 2006.
5. Ram M. S, Sudhir Sharma, Govinda R. T, Kumar S, Baseline Methodologies For Clean Development Mechanism Projects, UNEP
Risø Centre, 2005.
3003
Related
Course objectives Course outcomes program
outcomes
Demonstrate knowledge on green building
• To familiarize the concepts of CO1
concepts to reduce carbon emission
green buildings and energy
utilization CO2 Evaluate methods of building assessment for
green buildings
• To familiarize the codes and
CO3 Select appropriate materials for the
standards of green buildings and development of green buildings
mitigate energy usage from
Demonstrate knowledge on green building
renewable CO4 codes and standards to perform life cycle
analysis
GREEN BUILDING CONCEPTS: High-performance green buildings - Impacts of building construction, operation, and disposal -
Methods and tools for building assessment, LEED, Green Globes, Living Building Challenge, Green Building Coalition. (10)
BUILDING ASSESSMENT AND THE GREEN BUILDING PROCESS: Design and construction relationships -project management-
BREEAM, CASBEE, green star, DGNB - site and landscape strategies, building energy system strategies, low energy buildings,
renewable energy systems, building hydrologic cycle strategies, case studies on energy assessment. (11)
GREEN MATERIALS AND STRATEGIES: Materials selection strategies - multi-attribute standards (MAS) - life cycle assessment -
indoor environmental quality (IEQ) analysis and strategies - construction team responsibilities and controls - building commissioning
strategies - site operations. (12)
COST ANALYSIS AND STANDARDS: Carbon Accounting - economic issues and analysis - life cycle costing - business case for
green buildings - green building codes and standards - International Green Construction Code ASHRAE 189P, ANSI/GG 01 - green
building specifications - future directions in green high performance building technologies. (12)
Total L: 45
REFERENCES:
1. Abe Kruger, Carl Seville, “Green Building: Principles and Practices in Residential Construction”, Wiley, 2012.
2. Francis D. K. Ching, Ian M. Shapiro, “Green Building Illustrated” Wiley-2014.
3. Charles J. Kibert,” Sustainable Construction: Green Building Design and Delivery” John Wiley and Sons 2016.
4. The World Business Council on Sustainable Development (WBCSD) website: http://www.wbcsd.org.
3003
Related
Course objectives Course outcomes program
outcomes
Estimate the energy available to select and
size solar thermal systems for real time
• To impart knowledge on solar CO1 A
applications
radiation and methods of solar
radiation measurement to design Select and evaluate the performance of
solar PV and thermal systems CO2
photovoltaic systems for different needs A, E
• To impart knowledge on solar
Analyze solar thermal systems and assess the
thermal analysis to develop
energy storage and solar thermal CO3 performance of thermal energy storage
B
utilities systems
DESIGN OF SOLAR COLLECTORS: Solar constant, penetration depth, characteristics of radiation, classification - air, liquid heating
collectors, testing of flat plate collectors, analysis of concentric tube collector, concentrator collectors – classification, concentrator
mounting, focusing solar concentrators, heliostats, parabolic and dish. (12)
SELECTION OF PHOTO-VOLTAIC SYSTEMS: Physics, material, characteristics, cell arrays, power electric circuits for output of
solar panels, choppers, inverters, batteries, charge regulators, thermoelectric, stand alone, off/on grid, hybrid systems and
construction concepts, performance analyzer and applications. (11)
ANALYSIS OF SOLAR THERMAL SYSTEMS: Steady state and dynamic analysis, solar pond, modeling of solar thermal systems
and simulations in process design of active systems by f-chart and utilization methods. Water heating systems: active and passive,
passive heating and cooling of buildings, solar distillation, solar drying. (10)
SOLAR ENERGY UTILIZATION: Solar powered vapor absorption air condition system, solar cooler, solar power station, water pump,
chimney, dryer, dehumidifier, still, desalination, furnaces, cooker, swimming pool, and solar energy economic analysis, performance
analysis and system design. (12)
Total L: 45
REFERENCES:
1. Sukhatme S. P., “Solar Energy - Principles of thermal collection and storage” Tata McGraw-Hil, 2017.
2. Duffie J. A. and Beckman W. A., “Solar Engineering of Thermal Processes”, John Wiley, 2013.
3. Goswami D. Y., Kreith F. and Kreider J. F., “Principles of Solar Engineering”, Taylor and Francis, 2000.
4. Sodha M. S., Bansal N. K., Bansal P. K., and Malik M. A. S., “Solar Passive Building: science and design”, Pergamon
Press,1986.
5. Malik M. A. S., Tiwari G. N., Kumar A. and Sodha M.S., “Solar Distillation”, Pergamon Press, 1982.
18SE24 WASTE MANAGEMENT AND ENERGY RECOVERY
3003
Related
Course objectives Course outcomes program
outcomes
Characterize different types of waste and select
• To impart knowledge on methods CO1
suitable operations and conversion technologies
of waste management and facilitate
Select appropriate methods for waste
selection of waste handling CO2 management and apply transformation
processes
techniques for densification
• To familiarize on energy recovery CO3 Compare and select suitable energy recovery
and facilitate performing economic technology for a given application
analysis of waste disposal and CO4 Evaluate the cost and credit benefits of waste
recovery methods management and recovery methods
WASTE CHARACTERISTICS AND OPERATIONS FOR WASTE HANDLING: Sources, types, composition, generation, estimation
techniques, characterization, types of collection system, transfer stations, transfer operations. Separation and Processing: Size
reduction - separation through density variation, magnetic/electric field; Densification - physical, chemical and biological properties
and transformation technologies. (11)
WASTE DISPOSAL TECHNIQUES, TRANSFORMATION TECHNOLOGIES AND VALUE ADDITION OF WASTES: Landfill , landfill
gas - generation, extraction, gas usage techniques, leachates formation, UNFCCC model for land fill gas prognosis and reclamation;
Physical Transformation: Component separation and volume reduction; Chemical Transformation: combustion, gasification, pyrolysis;
Energy Recovery: biological transformation, aerobic composting, anaerobic digestion. (12)
HAZARDOUS WASTE MANAGEMENT AND WASTE RECYCLING: Definition, sources and classification; incineration vs
combustion technology; RDF / mass firing, material recycling, disposal of white goods and E-wastes, carbon credit calculations and
economic analysis of waste disposal and transformation techniques. (11)
MANAGEMENT OF LIQUID AND GASEOUS WASTES: Liquid Waste: Sewage treatment - Dilution, mechanical treatments,
biological treatments and chemical treatments, removal of ammonia; Gaseous waste management and control measures. (11)
TOTAL: 45
REFERENCES:
1. Tchobanoglous, Theisen and Vigil, “Integrated Solid Waste Management”, McGrawHill,1993.
2. Howard S. Peavy et al, “Environmental Engineering”, McGraw Hill International Edition, 2013.
3. Stanley E. Manahan. “Hazardous Waste Chemistry, Toxicology and Treatment”, Lewis Publishers, 1990.
4. Parker, Colin and Roberts, “Energy from Waste – An Evaluation of Conversion Technologies”, Elsevier Applied Science,
1985.
5. Manoj Datta, “Waste Disposal in Engineered Landfills”, Narosa Publishing House,1997.
18SE25 HYDROGEN ENERGY AND FUEL CELLS
3003
Related
Course objectives Course outcomes program
outcomes
Demonstrate knowledge on strategies and
technologies to achieve sustainable
CO1
development
• To impart knowledge on use of
hydrogen for achieving sustainable Demonstrate an understanding of hydrogen
growth and facilitate analysis of the CO2 production technologies, storage methods and
challenges in transition to hydrogen strategies for transition to hydrogen economy
economy
Demonstrate knowledge on the construction
• To impart knowledge on fuel cells CO3 and working of fuel cells and compare their
and facilitate evaluation for characteristics and process parameters
performance enhancement
Estimate and analyze the performance
CO4
characteristics of fuel cells
SUSTAINABLE DEVELOPMENT: Definition of sustainable development, factors affecting sustainable development like air pollution,
water source degradation, population explosion, agriculture and land degradation, global warming and climate change, strategies for
sustainability, energy and climate change. (11)
HYDROGEN ENERGY: Introduction to hydrogen economy, production, storage and transportation systems, hydrogen from fossil
fuels, electrolysis of water, thermo chemical cycles, transmission and infrastructure requirements, safety and environmental impacts,
economics of transition to hydrogen systems. (11)
FUEL CELLS: Concept, key components, physical and chemical phenomena in fuel cells, advantages and disadvantages, different
types of fuel cells and applications, characteristics, Nernst equation, relation of the fuel consumption versus current output. (11)
FUEL CELL DESIGN AND PERFORMANCE: Stoichiometric coefficients and utilization percentages of fuels and oxygen, mass flow
rate calculation for fuel and oxygen in single cell and fuel cell stack, total voltage and current for fuel cells in parallel and serial
connection, over-potential and polarizations, DMFC operation scheme, general issues-water flooding and water management,
polarization in PEMFC. (12)
Total L: 45
REFERENCES:
1. John Wiley and sons., “Fuel cell fundamentals”, Willey 2016.
2. Viswanathan B and Aulice Scibioh, “Fuel cells: Principles and Applications”, University Press, 2008.
3. Peter Hoffman, “Tomorrow’s Energy – Hydrogen Fuel Cells and the Prospects for Cleaner Planet”, MIT, 2012.
4. Prashukumar G P, “Hydrogen – A fuel for Automatic Engines”, ISTE, 1999.
5. Hart A B and Womack G J, “Fuel Cells: Theory and Applications”, Chapman and Hall, 1967.
18SE26 BIO-ENERGY CONVERSION TECHNOLOGIES
3003
Related
Course objectives Course outcomes program
outcomes
Identify the need and the various sources of
bioenergy, perform feasibility study for a
CO1 bioenergy conversion plant under given
conditions.
• To impart knowledge on bio
energy and facilitate feasibility Select and analyze a suitable process for a
evaluation CO2 pyrolyser plant based on local biomass
availability.
• To familiarize methods of
conversion and facilitate
Select and analyze a suitable process for a
performance evaluation of
various bio energy systems CO3 gasifier plant based on local biomass
availability.
ANALYSIS OF BIOMASS: Biomass resources and biomass properties, biomass classification, availability, estimation of availability,
consumption and surplus biomass ; energy plantations, proximate analysis, ultimate analysis, thermo gravimetric analysis and
summative analysis of biomass and briquetting. (12)
PYROLYSIS: A pyrolysis plant, pyrolysis products, pyrolyser types, pyrolysis product yields and its influencing factors, pyrolysis
kinetics, kinetic models. (10)
GASIFICATION: Biomass gasification plant, gasifiers, fixed bed system, downdraft and updraft gasifiers, fluidized bed gasifiers
design, construction and operation, gasifier burner arrangement for thermal heating, gasifier engine arrangement and electrical power,
equilibrium and kinetic consideration in gasifier operation, gasifier product yields and its influencing factors. (12)
COMBUSTION: Biomass combustion, fixed bed combustors, inclined grate combustors fluidized bed combustors, design,
construction and operation and operation of all the above biomass combustors, biomass stoves, improved challahs, types. (11)
Total L: 45
REFERENCES:
1. Prabir Basu, “Biomass Gasification and pyrolysis, a practical guide”, Academic press, 2018.
2. Desai and Ashok V, “Non Conventional Energy”, Wiley Eastern Ltd., 2008.
3. Khandelwal K C and Mahdi S S, “Biogas Technology - A Practical Hand Book - Vol. I and II”, Tata McGraw Hill Publishing Co.
Ltd.,1989.
4. Challal D S, “Food, Feed and Fuel from Biomass”, IBH Publishing Co. Pvt. Ltd., 1992.
5. WereKo-Brobby C Y and Hagan E B, “Biomass Conversion and Technology”, John Wiley and Sons, 1996.
18SE27 ENERGY STORAGE SYSTEMS
3003
Related
Course objectives Course outcomes program
outcomes
Identify various means of energy storage and
demonstrate knowledge on energy storage
CO1
modes
ENERGY STORAGE MODES: Potential energy, Pumped hydro storage; KE and Compressed gas system: Flywheel storage,
compressed air energy storage; Electrical and magnetic energy storage: Capacitors, electromagnets; Chemical Energy storage:
Thermo-chemical, photo-chemical, bio-chemical, Superconducting Magnet Energy Storage (SMES) systems. (12)
ELECTROCHEMICAL ENERGY STORAGE SYSTEMS: Batteries- primary, secondary, Lithium;Solid-state and molten solvent
batteries; Lead acid batteries; Nickel Cadmium batteries; Advanced batteries, Role of carbon nano-tubes in electrodes. (11)
ELECTRIC ENERGY STORAGE SYSTEMS: Capacitor and Batteries: Comparison and application; Super capacitor: Electrochemical
Double Layer Capacitor (EDLC), principle of working, structure, performance and application, role of activated carbon and carbon
nano-tube. (10)
SENSIBLE AND LATENT HEAT STORAGE: SHS mediums; Stratified storage systems; Rock-bed storage systems; Thermal storage
in buildings; Earth storage; Energy storage in aquifers, Phase Change Materials (PCMs); Selection criteria of PCMs; solar thermal
LHTE systems. (12)
Total L: 45
REFERENCES:
1. Ibrahim Dincer and Mark A Rosen, “Thermal Energy Storage Systems and Applications”, John Wiley and Sons 2011.
2. James Larminie and Andrew Dicks, “Fuel cell systems Explained”, Wiley Publications, 2003.
3. Ru-shiliu, Leizhang, Xueliang sun, “Electrochemical technologies for energy storage and conversion”, Wiley Publications, 2012.
4. Yves Brunet., “Energy storage”, Wiley publications,2013.
5. Luisa F.Cabeza.,Advances in thermal energy storage systems, Woodhead publications 2014.
18SE31 FUNDAMENTALS OF TURBULENCE AND BOUNDARY LAYER THEORY
3003
Related
Course objectives Course outcomes program
outcomes
Demonstrate an understanding of boundary
• To impart knowledge on the CO1 layer and apply the concepts for solving flow
concept of boundary layers and the problems
mechanisms in various flow Demonstrate an understanding of the
regimes CO2 phenomenon of turbulence and its impact on
fluid flow and heat transfer characteristics in
systems
• To impart knowledge on CO3 Select and apply appropriate turbulence
turbulence modeling and facilitate models for a given application
understanding of turbulent flows
for different conditions CO4 Analyze and estimate the characteristics of
turbulent flow and its effect on flow parameters
BOUNDARY LAYER THEORY: Boundary layer concept, displacement thickness, momentum thickness, laminar boundary layer on
a flat plate, turbulent boundary layer on a flat plate, boundary layer thickness using Blasius solution and Von Karman approach, effect
of pressure gradient and separation, Flow past bluff bodies and airfoil, concept of lift and drag. (11)
TURBULENT BOUNDARY LAYERS: Fully developed turbulent flow in a pipe, turbulent shear stress, turbulent velocity profile, internal
flows – couette flow – two-layer structure of the velocity field – universal laws of the wall– friction law – channel flow, couettee –
poiseuille flows. (11)
TURBULENCE AND TURBULENCE MODELS: Nature of turbulence – averaging procedures – characteristics of turbulent flows –
scales of turbulence, integral length scale, energy spectra, Kolmogorov’s theory, Kolmogorov’s scales, eddy viscosity and Prandtl’s
mixing length, Reynolds Average Navier Stokes equation (RANS), Two-equation models, low – reynolds number models, large eddy
simulation. (11)
STATISTICAL THEORY OF TURBULENCE AND TURBULENT FLOWS: Ensemble average – isotropic turbulence and
homogeneous turbulence – kinematics of isotropic turbulence – Taylor’s hypothesis – dynamics of isotropic turbulence –grid
turbulence and decay – turbulence in stirred tanks.
Turbulent flows: Wall Turbulent shear flows – structure of wall flow – turbulence characteristics of boundary layer – free turbulence
shear flows – jets and wakes – plane and axi-symmetric flows. kinetic energy budget in a turbulent flow, turbulence production and
cascade. (12)
Total L: 45
REFERENCES:
1. Biswas G. and Eswaran E., “Turbulent Flows, Fundamentals, Experiments and Modelling”, Narosa Publishing House, 2002.
2. Schlichting H and Klaus Gersten, “Boundary Layer Theory”, Springer 2017.
3. Garde R.J. and Turbulent Flow, “New Age International (p) Limited”, Publishers, 2013.
4. Rajaratnam N. and Turbulent Jets, “Elsevier Scientific Publishing Company”, 1976.
5. Hinze J.O., “Turbulence”, McGraw-Hill Book Company, 1975.
6. Launder B. E. and Spalding D. B., “Mathematical Models of Turbulence”, Academic Press, 1972.
18SE32 ENERGY CONSERVATION IN HVACR SYSTEMS
3003
Related
Course objectives Course outcomes program
outcomes
• Impart knowledge on the Demonstrate knowledge on refrigerants and
refrigeration and air- refrigeration process to develop suitable
CO1
conditioning process and systems based on the requirement
estimate the loads on the system
to select appropriate components Assess heat load and select suitable
CO2 equipments for refrigeration and air-
• Impart knowledge on conditioning system
international standards and
Demonstrate knowledge on IS codes and
methods of energy management,
CO3 standards to assess quality of the systems
conservation to minimize energy
utilization for sustainable
development Identify, assess and apply energy
CO4
conservative techniques in HVAC systems
AIR CONDITIONING AND AIR SYSTEMS: Psychrometrics -thermal comfort-air conditioning process, classification, systems and sub
systems, components selection- air systems, fans, coils, filters and humidifiers, air handling units(AHU),air ducts and space diffusion
systems. (13)
HEATING AND VENTILATING SYSTEMS: Heat pumps and heat recovery systems, air-source heat pump, ground water heat pump
systems, ground water coupled surface water heat pump, gas cooling and cogeneration, basics and constant-volume systems-
variable-air-volume systems, VAV systems- fan combination, system pressure and smoke control- minimum ventilation and VAV
systems controls- indoor air quality. (10)
I S STANDARDS, ENERGY MANAGEMENT AND CONTROL: IS code and standards: Air-condition equipments, pipes and fittings,
pumps and valves, refrigeration and lubricants, insulation, ventilation, International codes and practices, automatic control systems-
control loop and control methods-control modes-sensors and transducers- controllers and actuators-system architecture-
interoperability-artificial network-functional controls and fault detection and diagnostics, BMS. (10)
Total L: 45
REFERENCES:
1. Shan.K.Wang, “Handbook of air conditioning and refrigeration” McGraw-Hill,2000.
2. ISHRAE “HVAC Data book” ISHRAE 2017.
3. Arora C.P., “Refrigeration and Air Conditioning”, Tata McGraw Hill Pub. Company, 2010.
4. Plant Engineers and Manager’s Guide to Energy Conservation, Fair Mount Press, 2011.
5. Edward Hartmann, “Maintenance Management, Productivity and Quality Publishing Pvt. Ltd”., 1995.
6. Carrier Air conditioning Co., “Hand Book of Air conditioning System Design”, McGraw-Hill, 2001.
15SE33 AERODYNAMICS OF STREAMLINED AND BLUFF BODIES
3003
INVISCID AND INCOMPRESSIBLE FLOW: Lift, Drag, Moment and related coefficients conservation equations, flow lines, velocity
functions, boundary layer, Bernoulli's equation, low-speed wind tunnel flows; Governing equations and boundary conditions;
Elementary flows (uniform, sources, sinks and vortex); Ideal flow past a cylinder, conformal mapping, Kutta-Joukowski theorem and
lift generation; Source panel method for non-lifting flows; D'Alembert's paradox. (13)
INCOMPRESSIBLE FLOW OVER AIRFOILS: Kutta condition; Thin airfoil theory (symmetric, cambered); Aerodynamic centre; Vortex
panel method for lifting flows; Effect of viscosity and Stokes’ second problem. (10)
FINITE WING THEORY: Downwash and induced drag; Biot-Savart Law and Helmholtz's theorems; Prandtl's lifting line theory;
Numerical lifting-line method. (10)
AERODYNAMICS AND WIND TUNNEL EXPERIMENTATION: Aerodynamics of horizontal-axis wind turbines, aerodynamics of bluff
bodies, building aerodynamics, wind tunnel experiments, case studies. (12)
Total L: 45
REFERENCES:
1. Houghton E. L., Carpenter P. W. and Daniel T. Valentine, "Aerodynamics for Engineering students", Elsevier Ltd., 2013.
2. Lawson T, “Builing Aerodynamics”, Imperial College Press, 2010.
3. John D Anderson., "Fundamentals of Aerodynamics", McGraw Hill Book Co., 2011.
4. Hucho W H, “Aerodynamic of Road vehicles ", Butterworth Co. Ltd., 1998.
5. Pope A, “Wind Tunnel Testing ", John Wiley and Sons, 1974.
6. Tom L. Building Aerodynamics, World Scientific; 2010.
Related
Course objectives Course outcomes program
outcomes
• To impart knowledge on wind Demonstrate knowledge on wind
energy systems, components and aerodynamics and to facilitate selection and
CO1
able to design systems for wind design of airfoils for wind systems.
energy conversion.
Design systems for conversion of energy from
CO2
available wind sources
• To impart knowledge on the Demonstrate knowledge on electrical and
operations, maintenance and control systems of wind energy systems and
CO3
financial implication of wind propose suitable systems for integration with
energy systems to evaluate the wind energy systems
feasibility of energy produced
from wind. Analyze the economic viability of wind energy
CO4 systems and plan for possible wind energy
generation
DESIGN OF WIND TURBINE ROTOR: Basic aerodynamics-wind turbine model-blade element method-airfoil aerodynamics-
boundary conditions-aerodynamic design of rotor-numerical simulation of wind turbine flow, rotor blades- polymer materials-
processing technology-sandwich materials-material characterization. (11)
DESIGN OF MECHANICAL SYSTEMS: Rotor hub, blade pitch mechanism, rotor bearing concepts, rotor brake, gear box, nacelle,
yaw system, assembly and performance testing, tower design. (11)
SELECTION OF ELECTRICAL AND CONTROL SYSTEMS: Synchronous and asynchronous generator, assessment criteria for
electrical generators, fixed speed generators, variable speed generator systems, directly rotor-driven systems, total electrical system
of wind turbine, control systems and operation sequence control, wind measurement system, yaw control, power and speed control
by blade pitching, power limiting by aerodynamic stall, supervisory control and operational states, simulation and hardware of control
systems. (11)
WIND TURBINE OPERATION, MAINTENANCE AND ECONOMICS: Wind farms, project development, planning, transportations,
erection, grid connection, commissioning, operation and monitoring, safety aspects, maintenance and repair offshore wind energy,
power optimization, power curve, annual energy yield, environmental impact, economics: factors influencing the wind energy, the
present worth approach, cost of wind energy, benefits of wind energy, Case studies; yard sticks and tax advantages, carbon credit.
(12)
Total L: 45
REFERENCES:
1. Hau E, von Renouard H, “Wind turbines: fundamentals, technologies, application, economics”. Springer,2003.
2. Burton T, Jenkins N, Sharpe D, Bossanyi E. “Wind energy handbook” John Wiley and Sons,2011 .
3. Mathew S, Philip GS, “Advances in wind energy and conversion technology” Berlin, Springer, 2013.
4. Johnson GL. Wind energy systems, Englewood Cliffs (NJ): Prentice-Hall,1985
5. Hansen MO,”Aerodynamics of wind turbines”, Routledge, 2015.
OPTIMISATION TECHNIQUES FOR PHOTOVOLTAIC ENERGY CONVERSION: Passive filter design using genetic algorithm,
harmonic elimination in inverters, tuning of controllers, GA, PSO, DE, optimized fuzzy logic for the maximum power point tracking,
MATLAB/SIMULINK models of MPPT techniques. (11)
OPTIMISATION TECHNIQUES FOR WIND ENERGY CONVERSION SYSTEMS: MATLAB/SIMULINK model of wind turbine and
wind turbine generators. prediction of wind turbine power factor, pitch angle control, MPPT algorithms, economic dispatch for wind
power system – related MATLAB/SIMULINK models-FLC based STATCOM - prediction of wind speed based on FLC - Fuzzy logic
controlled SPWM converter for WECS. (11)
GRID INTEGRATION: Integration of small scale generation into distribution grids, different types of grid interfaces, issues related to
grid integration systems - phase locked loop for grid connected power system, grid connected inverters, current controllers for PWM
inverters, MATLAB/SIMULINK model of grid integration, and PLL grid connected power system.
HYBRID ENERGY SYSTEMS: Need for hybrid energy system, MATLAB/SIMULINK models of hybrid solar PV and wind energy
system- - CUK-SEPIC converter, boost converter, hybrid model of solar PV and diesel energy system,– hybrid solar PV and wind
energy conversion systems. (12)
Total L: 45
REFERENCES:
1. Laurene Fausett, “Fundamentals of neural networks”, Pearson Education India, New Delhi, 2004.
2. Randall Shaffer., “Fundamentals of power electronics with MATLAB” Charles River Media Boston Massachusetts, 2007.
3. Rao S S., "Optimization theory and applications", Wiley Eastern Limited, New Delhi, 2003.
4. S. Sumathi, Ashok Kumar.L, P.Sureka, “Solar PV and wind energy conversion systems - An introduction to theory, modeling
with MATLAB/SIMULINK, and the role of soft computing techniques” – Green Energy and Technology, Springer, 2015
edition (20 April 2015).
5. H.P.Garg and J.Prakash, “Solar energy, fundamentals and applications”, Tata McGraw Hill Publishing Company Ltd., New
Delh, 1997.
DATA ACQUISITION: DAQ hardware configuration, DAQ hardware– Sampling and grounding techniques- analog I/O, digital I/O,
counter/timer, DAQ software architecture, network data acquisition. Application design using real time targets: PXI, cRIO. (11)
INSTRUMENT INTERFACES: Virtual instrumentation software architecture (VISA), instrument drivers, serial and parallel interfaces:
RS232, USB, firewire, controller area network (CAN), GPIB, industrial ethernet. OLE for process control (OPC) (11)
ADVANCED FEATURES IN LabVIEW: System identification and control design, signal processing, image acquisition and processing,
data logging and supervisory control, LabVIEW Interface for Arduino, case studies on machine vision, motion control, GSD
applications. (11)
Total: L: 45
REFERENCES:
1. Gary Johnson and Richard Jennings, “LabVIEW Graphical Programming”, McGraw Hill Inc., 2006.
2. Rick Bitter, Taqi Mohiuddin and Matt Nawrocki, “LABVIEW Advanced Programming Techniques”, CRC Press, 2009.
3. Jovitha Jerome, “Virtual Instrumentation using LabVIEW”, PHI Learning Pvt. Ltd, New Delhi, 2010.
4. Sanjay Gupta and Joseph John, “Virtual Instrumentation Using LabVIEW”, Tata McGraw-Hill, 2008.
5. Mathivanan, N. “PC-Based Instrumentation”, PHI Learning Pvt. Ltd, New Delhi, 2009.
LINEAR PROGRAMMING: Statement of optimization problems, principles of single and multi-objective optimization, graphical
method, simplex method, revised simplex method, two phase simplex method, duality in linear programming, sensitivity analysis.
(12)
NON-LINEAR PROGRAMMING (UNCONSTRAINED OPTIMIZATION): Direct search methods - univariate method, pattern search
method, simplex method, descent methods - steepest descent method, conjugate gradient method, Quasi Newton method. (11)
NON-LINEAR PROGRAMMING (CONSTRAINED OPTIMIZATION): Direct methods - The complex method, Zoutendijk’s method of
feasible directions, Rosen’s gradient projection method , indirect method - transformation techniques, basic approach of the penalty
function method, interior penalty function method, exterior penalty function method. (11)
DYNAMIC PROGRAMMING: Multistage decision process, Suboptimization and principle of optimality, computational procedure, final
value problem to initial value problem, linear programming as a case of dynamic programming, continuous dynamic programming.
(11)
Total L: 45
REFERENCES:
1. Hamdy A Taha, “Operations Research: An Introduction”, Pearson Education, New Delhi, 2012.
2. Singaresu S Rao, “Engineering Optimization: Theory and Practice”, New Age International, New Delhi, 2011.
3. Nash S G and Ariela Sofer, "Linear and Nonlinear Programming", McGraw Hill, New York, 1996.
4. Gupta C B, “Optimization Techniques in Operations Research”, I K International, New Delhi, 2012.
5. Sharma J K, “Operations Research: Theory and Applications”, Macmillan Company, New Delhi, 2013.
18SE44/18ED40 HYBRID ELECTRIC VEHICLES
3003
INTRODUCTION TO HYBRID ELECTRIC VEHICLES: History of hybrid and electric vehicles, social and environmental importance
of hybrid and electric vehicles, impact of modern drive-trains on energy supplies. basics of vehicle performance, vehicle power source
characterization, transmission characteristics and mathematical models to describe vehicle performance. (11)
DRIVE –TRAIN TOPOLOGIES: Basic concept of hybrid traction, introduction to various hybrid drive-train topologies, power flow
control in hybrid drive-train topologies, fuel efficiency analysis. basic concepts of electric traction, introduction to various electric drive-
train topologies, power flow control in hybrid drive-train topologies, fuel efficiency analysis. (11)
ELECTRIC COMPONENTS IN HYBRID AND ELECTRIC VEHICLES: Electric drives in HEV/EVs, classification and characteristics,
configuration and control of DC motor drives, induction motor drives, permanent magnet motor drives and switched reluctance motor
drives for HEV/EVs applications, drive system efficiency. Performance matching of electric machine and the internal combustion
engine (ICE), sizing the propulsion motor, sizing of power electronic devices and energy storage systems. (12)
ENERGY MANAGEMENT STRATEGIES: Introduction to energy management strategies used in hybrid and electric vehicle,
classification of different energy management strategies, comparison of different energy management strategies - implementation
issues. (11)
Total L: 45
REFERENCES:
1. Iqbal Hussein, “Electric and Hybrid Vehicles: Design Fundamentals”, CRC Press, 2010.
2. Mehrdad Ehsani, Yimi Gao, Sebastian E. Gay, Ali Emadi, Modern Electric, “Hybrid Electric and Fuel Cell Vehicles:
Fundamentals, Theory and Design”, CRC Press, 2009.
3. James Larminie, John Lowry,” Electric Vehicle Technology Explained”, Wiley, 2003.
4. Sira -Ramirez, R. Silva Ortigoza, “Control Design Techniques in Power Electronics Devices”, Springer, 2006.
DISTRIBUTED GENERATION : Energy Sources and their availability -trends in energy consumption, conventional and non-
conventional energy sources – review of solar photovoltaic – wind energy systems – fuel cells , energy storage systems: batteries –
ultra capacitors – fly wheels – captive power power plants. distributed generation – concept and topologies, renewable energy in
distributed generation. IEEE 1547 Standard for interconnecting distributed generation to electric power systems – DG installations –
siting and sizing of DGs – optimal placement – regulatory issues. (11)
ISSUES IN GRID INTEGRATION OF DISTRIBUTED ENERGY RESOURCES : Basic requirements of grid interconnections –
operational parameters – voltage, frequency and THD limits – grid interfaces – inverter based DGs and rotary machines based DGs
– reliability, stability and power quality issues on grid integration – impact of DGs on protective relaying and islanding issues in existing
distribution grid. (11)
MICROGRIDS : Introduction to microgrids – types – structure and configuration of microgrids – AC and DC microgrids – power
electronic intefaces for microgrids – energy management and protection control strategies of a microgrid - case studies. (11)
CONTROL AND OPERATION OF MICROGRID : Modes of operation and control of microgrid: grid connected and islanded mode,
active and reactive power control, protection issues, anti-islanding schemes: passive, active and communication based techniques,
microgrid communication infrastructure, power quality issues in microgrids, regulatory standards, microgrid economics, introduction
to smart microgrids. (12)
Total L : 45
REFERENCES:
1. Gregory W. Massey, “Essentials of Distributed Generation Systems”, Jones & Bartlett Publishers, 2011.
2. Math H. Bollen, “Integration of Distributed Generation in the Power System”, John Wiley & Sons, 2011.
3. N. Jenkins, Nicholas Jenkins, “Distributed Generation” IET Press, 2010.
4. S. Chowdhury, P. Crossley, “Microgrids and Active Distribution Networks”, IET Press, 2010.
5. Ali Keyhani, “Design of Smart Power Grid Renewable Energy Systems”, John Wiley & Sons, 2011.
18SE46/18ED38 SMART GRID TECHNOLOGIES
3003
SMART GRID ARCHITECTURE AND COMPONENTS: Introduction to smart grid, evolution of electric grid, concept of smart grid,
definitions, need of smart grid, concept of robust & self-healing grid, present development & international policies in smart grid, smart
grid architecture models, components of smart grid: smart generation systems, Smart Transmission Grid : Geographic Information
System (GIS). Intelligent Electronic Devices (IED) & their application for monitoring & protection. wide area monitoring protection and
control (WAMPAC), phasor measurement unit (PMU) and its applications in smart grid. (11)
MICROGRIDS AND DISTRIBUTED ENERGY RESOURCES: Micro grid: concept of micro grid, need & applications of micro grid.
micro grid architecture, issues of interconnection, protection & control of micro-grid. distributed energy resources: plastic & organic
solar cells, thin film solar cells. variable speed wind generators, fuel cells, micro turbines, captive power plants, integration of renewable
energy sources. power quality issues of grid connected renewable energy sources. power quality conditioners for smart grid. web
based power quality monitoring and power quality audit. (12)
SMART METERING AND DISTRIBUTION MANAGEMENT SYSTEM: Smart distribution systems: Smart Meters, automatic meter
reading (AMR), advanced metering infrastructure (AMI), real time pricing, smart appliances. smart substations : substation
automation, feeder automation, outage management system (OMS). Smart sensors: home & building automation, plug in hybrid
electric vehicles (PHEV), algorithms for vehicle to grid and grid to vehicle management, smart charging stations. energy storage for
smart grids: battery energy storage systems (BESS), superconducting magnetic energy storage (SMES), compressed air energy
storage (CAES). (11)
COMMUNICATION NETWORKS AND CYBER SECURITY FOR SMART GRID: Communication architecture for smart grids, home
area network (HAN) : IEEE 802.11, IEEE 802.15.4, 6LoWPAN, Neighborhood Area Network (NAN) / Field Area Network (FAN): Radio
over Power-Lines (BPL/PLC), IEEE P1901, Wide Area Network (WAN) : optical fiber communication, cellular networks, Wi-Max and
wireless sensor networks. big data analytics in smart grid, cyber security challenges in smart grid - load altering attacks - false data
injection attacks - defense mechanisms. (11)
Total L : 45
REFERENCES:
1. Stuart Borlase, “Smart Grid: Infrastructure, Technology and Solutions”, CRC Press, 2012.
2. Janaka Ekanayake, Nick Jenkins, KithsiriLiyanage, Jianzhong Wu and Akihiko Yokoyama, “Smart Grid: Technology and
Applications”, Wiley, 2012.
3. Ali Keyhani, “Design of Smart Power Grid Renewable Energy Systems”, Wiley, 2016
4. Clark W. Gellings, “The Smart Grid: Enabling Energy Efficiency and Demand Response”, CRC Press , 2009
5. IEEE Transactions on Smart Grid.
SHUNT COMPENSATOR: Principle of operation - types - Variable impedance type & switching converter type - static synchronous
compensator (STATCOM) - configuration, characteristics and control-applications. (11)
SERIES COMPENSATOR: Principles of operation- types - static series compensation using GCSC, TCSC and TSSC, static
synchronous series compensator (SSSC) – characteristics and control-applications.
VOLTAGE AND PHASE ANGLE REGULATORS: Principles of operation-types-steady state model and characteristics of a static
voltage regulators and phase shifters- thyristor controlled voltage and phase angle regulators. switching converter based voltage and
phase angle regulators-applications. (12)
UNIFIED POWER FLOW CONTROLLER: Principles of operation – characteristics- independent active and reactive power flow
control-applications. Comparison of UPFC with the controlled series compensators and phase shifters. Coordinated control of FACTS
Devices. Use of FACTS devices under deregulated environment. (11)
Total L: 45
REFERENCES:
1. Song, Y.H. and Allan T. Johns, “Flexible AC transmission systems (FACTS)”, Institution of Electrical Engineers Press,
London, 1999.
2. Hingorani ,L.Gyugyi, “Understanding FACTS - concepts and technology of flexible AC transmission systems”, IEEE Press
New York, 2000.
3. Mohan R .Mathur and Rajiv Varma K. , “Thyristor - based FACTS controllers for electrical transmission systems”, IEEE
Press, Wiley Inter science , 2002.
4. Padiyar K.R., “FACTS controllers for Transmission and distribution systems”, New Age International Publishers, 2007.
5. Loi Lei Lai, ‘Power system restructuring and deregulation’, John Wiley & Sons Ltd. 2003.