Design and Optimization of Energy systems NPTEL
Online Free Online Course by
World Mentoring Academy
Online
/ Free Online Course
Details
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.
Examples applied to heat transfer problems and energy systems such as gas and steam power plants, refrigeration systems, heat pumps and so on.
Resources: OpenCourseware from NPTEL (India), Sheridan College, MIT, UC Berkeley, Stanford & many other of the World's finest University's.
Language: English
Units: 40
Lesson content
- Mod-01 Lec-01 Introduction to Optimization
- Mod-01 Lec-02 System Design and Analysis
- Mod-01 Lec-03 Workable system
- Mod-01 Lec-04 System simulation
- Mod-01 Lec-05 Information flow diagrams
- Mod-01 Lec-06 Successive substitution method
- Mod-01 Lec-07 Successive substitution method contd...
- Mod-01 Lec-08 Successive substitution method and Newton-Raphson method
- Mod-01 Lec-09 Newton-Raphson method contd...
- Mod-01 Lec-10 Convergence characteristics of Newton-Raphson method
- Mod-01 Lec-11 Newton-Raphson method for multiple variables
- Mod-01 Lec-12 Solution of system of linear equations
- Mod-01 Lec-13 Introduction to Curve fitting
- Mod-01 Lec-14 Example for Lagrange interpolation
- Mod-01 Lec-15 Lagrange interpolation contd...
- Mod-01 Lec-16 Best fit
- Mod-01 Lec-17 Least Square Regression
- Mod-01 Lec-18 Least Square Regression contd.....
- Mod-01 Lec-19 Least Square Regression contd.....
- Mod-01 Lec-20 Non-linear Regression (Gauss - Newton Algorithm)
- Mod-01 Lec-21 Optimization- Basic ideas
- Mod-01 Lec-22 Properties of objective function and cardinal ideas in optimization
- Mod-01 Lec-23 Unconstrained optimization
- Mod-01 Lec-24 Constrained optimization problems
- Mod-01 Lec-25 Mathematical proof of the Lagrange multiplier method
- Mod-01 Lec-26 Test for Maxima/ Minima
- Mod-01 Lec-27 Handling in-equality constraints
- Mod-01 Lec-28 Kuhn-Tucker conditions contd...
- Mod-01 Lec-29 Uni-modal function and search methods
- Mod-01 Lec-30 Dichotomous search
- Mod-01 Lec-31 Fibonacci search method
- Mod-01 Lec-32 Reduction ratio of Fibonacci search method
- Mod-01 Lec-33 Introduction to multi-variable optimization
- Mod-01 Lec-34 The Conjugate gradient method
- Mod-01 Lec-35 The Conjugate gradient method contd...
- Mod-01 Lec-36 Linear programming
- Mod-01 Lec-37 Dynamic programming
- Mod-01 Lec-38 Genetic Algorithms
- Mod-01 Lec-39 Genetic Algorithms contd...
- Mod-01 Lec-40 Simulated Annealing and Summary
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