Course Details

Subject {L-T-P / C} : CH4312 : Optimization Techniques in Process Design {3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Madhusree Kundu


Optimal problem formulation, Single variable optimization algorithms including interval halving, golden section search , Newton-Raphson method, bisection method etc., Multi variable optimization algorithms including simplex search method Cauchy s steepest descent method, Levenberg Marquardt s method, constrained optimization algorithms including Khun-Tucker conditions. Specialized algorithms including Integer programming, geometric programming. Non-traditional optimization technique like simulated annealing, Differential evolution. Application of the aforesaid techniques in Chemical Engineering designs.

Course Objectives

  1. To understand the need and origin of the optimization methods.
  2. To formulate constrained and non-constrained optimization problems pertaining to the physical process. Getting optimal solution followed by decision making.
  3. To get a broad perspective of the various applications of optimization methods used in process design.
  4. Comparison in performance for the traditional and non-traditional optimization techniques.

Course Outcomes

1.To enable the students to formulate optimal problem pertaining to their process/project requirement.
2. To enable the students to take a decision based on the optimal solutions.
3. To enable the students to solve the optimization problems using MATLAB optimization toolbox.

Essential Reading

  1. T. F. Edgar, D. M. Himmelblau, , ,, Optimization of Chemical Processes, McGraw-Hill Science/Engineering/Math 2 edition , 2001
  2. B. V. Babu, Process Plant Simulation, OUP, India , 2004

Supplementary Reading

  1. S. S. Rao, Engineering Optimization Theory & Practice, John Wiley & Sons Inc , 2009
  2. Gavin Towler and Gavin Towler, Chemical Engineering Design: Principles, Practice and Economics of Plant and Process Design, ....Butterworth-Heinemann 2 edition , 25 January 2012

Journal and Conferences

  1. Industrial Engineering & Chemistry Research, ACS publication
  2. computers in chemical engineering, ELSEVIER