Prerequisites by Topic:

• Numerical solution of linear and non-linear equations.
• Power series.
• Laplace transform methods.
• Ability to program in a modern language.

Textbook(s):- Optimization in Chemical Engineering, Suman Dutta, 1st ed., Cambridge, 2016

• Optimization of Chemical Processes, T. Edgar, D.Himmelblau, 2^nd ed, McGraw-Hill, 2001

Reference(s):

Optimization Theory and Practice. Beveridge and Schechter, McGraw-Hill, 1970.

Topics Covered:

1. Introduction (1 hour)
2. Problem structure and decomposition (4 hours)
3. Functions and regions (3 hours)
4. Classical Analytical Methods (1 hours)
5. Single variable functions (4 hours)
6. Multivariable functions (4 hours)
7. Numerical Methods (1 hour)
8. Single variable functions (6 hours)
9. Multivariable functions (8 hours)
10. Programming Methods (1 hour)
11. Linear programming (3 hours)
12. Computer packages (3 hours)
13. Geometric programming (3 hours)
14. Dynamic programming (3 hours)

Course Objectives:

1. To introduce students to the art and science of modeling optimization problems for the chemical industry (1,2,3).
2. To introduce the various optimization techniques and software for solving linear, nonlinear, and integer optimization problems (1,2).

Performance Criteria:

Objective 1:

1. Students will be able to formulate optimization problems related to the chemical engineering discipline. (1, 2)
2. Student will understand importance of optimization in the industry (4)

Objective 2:

1. Students will understand the various optimization algorithms used for solving linear, integer, and nonlinear problems. Students will know how to use computer packages for solving optimization problems. (1)
2. Prepare and present a term project to demonstrate use of optimization techniques (3)

Assessment Criteria:

1. Homework and computer assignments
2. Midterm Exams
3. Final Exam
4. Term Project

ABET Category Content:

Engineering Science: 2 Credits or 67%

Engineering Design: 1 Credit or 33%

Course Classification