18-10-2012, 04:51 PM
SYLLABUS FOR CREDIT BASED CURRICULUM
1.Energy Engineering (1).pdf (Size: 222.41 KB / Downloads: 82)
CL 701 ENVIRONMENTAL ENGINEERING AND POLLUTION CONTROL
Environmental Pollution- units of measurements, material balance and energy fundamentals,
classification of pollution
Air Pollution Control Methods & Equipment- sources and effects of air pollution –Sampling
measurement and analysis of air pollutants- Control
Solid Waste Management-Sources & Classification –Solid Waste Disposal Options - Toxic
Waste Management
Water Pollution - sources of water pollutants– Classification and effects of Water Pollutants –
Water pollution Laws and Standards
Environment For Comfort Living & Working - Comfort & Climate –Temperature, humidity
and ventilation Control– AC load, Natural & Artificial Lighting, Noise Sources, control.
TEXT BOOKS
1. Rao C .S. "Environmental Pollution Control Engineering,” 2nd Edition, New Age
International Publishers, 2006.
2. Gilbert M. Masters, “Introduction to Environmental Engineering and Science”, 2nd
Edition, Prentice Hall, 1998.
CL 703 FUELS AND COMBUSTION TECHNOLOGY
Fuels & Fuel Analysis-Combustion Stoichiometry, theoretical & actual combustion processes
–Air fuel ratio.
Combustion Thermodynamics- calculation of heat of formation & heat of combustion – First
law analysis of reacting systems
Heat Treatment Furnaces- Industrial furnaces – process furnaces – Kilns – Batch &
continuous furnaces
Flame, Flame Structure, Ignition and Igniters – flame propagation – deflagration –
detonations- flame front – Ignition – self & forced ignition – Ignition temperature
Combustion Appliances- Gas burners- Functional requirement of burners – Gas burner
Classification –Stoker firing –pulverized system of firing
CL 705 PROCESS MODELLING AND SIMULATION
Introduction to modelling, a systematic approach to model building, classification of models.
Conservation principles, thermodynamic principles of process systems.
Development of steady state and dynamic lumped and distributed parameter models based on
first principles. Analysis of ill-conditioned systems.
Development of grey box models. Empirical model building. Statistical model calibration and
validation. Population balance models. Examples.
Solution strategies for lumped parameter models. Stiff differential equations. Solution
methods for initial value and boundary value problems. Euler’s method. R-K method,
shooting method, finite difference methods. Solving the problems using MATLAB/SCILAB.
Solution strategies for distributed parameter models. Solving parabolic, elliptic and
hyperbolic partial differential equations. Finite element and finite volume methods.