Course Name: Design and Optimization of Energy systems

Course abstract

Introduction to system design - Regression analysis and curve fitting - modeling of thermal equipment (very brief) - system simulation (successive substitution - Newton - Raphson method) - examples - economic analysis - optimization - Lagrange multipliers, search methods, linear programming, geometric programming- New generation optimization techniques - simulated annealing, Genetic Algorithms, Bayesian statistics. Examples applied to heat transfer problems and energy systems such as gas and steam power plants, refrigeration systems, heat pumps and so on.


Course Instructor

Media Object

Prof. C. Balaji

Department of Mechanical Engineering,
Indian Institute of Technology Madras.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Feb-May 2015

  View Course

 Syllabus

 Enrollment : 09-Feb-2015 to 05-May-2015

 Exam registration : 03-Mar-2015 to 08-Apr-2015

 Exam Date : 10-May-2015, 17-May-2015

 Exam Conducted cities for 10-May-2015

 Exam Conducted cities for 17-May-2015

Enrolled

1680

Registered

73

Certificate Eligible

28

Certified Category Count

Gold

0

Elite

3

Successfully completed

10

Participation

15

Success

Elite

Gold





Legend

>=90 - Elite+Gold 
60-89 - Elite
0-59   -  Successfully Completed


Final Score Calculation Logic

  • Final Score = Exam Score
Design and Optimization of Energy systems - Toppers list

SANTHOSH KUMAR TAKKARSU 72%

jntuh college of engineering hyderabad

ABHIJIT SHALIGRAM KOUSAL 61%

mit, aurangabad

SUMIT KUMAR GAURAV 60%

DHWANIK NATVARLAL PATEL 52%

PANDIT DEENDAYAL PETROLEUM UNIVERSITY

HIMALAYA SARKAR 52%

KIIT UNIVERSITY

VIRAL BALRAMBHAI MEVCHA 51%

RK UNIVERSITY

ARUN P 50%

KAMARAJ COLLEGE OF ENGINEERING AND TECHNOLOGY

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.