Description

Theory
2

Theory/Practice
2

Instructors

Gilberto Antonio Pinto

Contents

P1: INTRODUCTION (8h)
P1.1 Mathematical formulation;
P1.2 Analytical and numerical solution;
P1.3 degrees of freedom of a system;
P1.4 fundamentals concepts about Excel and MatLab calculation.

P2: KEY CONCEPTS (8h)
P2.1 Optimum notion;
P2.2 General optimum conditions;
P2.3 Optimum conditions in multivariable constrained problems (Kun-Tucker Conditions).

P3: ENGINEERING SYSTEMS OPTIMIZATION (24h)
P3.1 Multivariable Unconstrained optimization;
P3.2 Multivariable constrained optimization;
P3.3 multi criteria optimization;
P3.4 applied exercises in Excel and MatLab.

P4: INTEGRATION AND OPTIMIZATION OF COMPLEX SYSTEMS (20h)
P4.1 Pinch method for heat exchangers networks;
P4.2 Grand Composite Curve Concept;
P4.3 Hot and cold utilities selection;
P4.4 Network evolution.

Learning Outcomes

The student should be able to:
O1: translate a real optimization engineering problem into mathematical language;
O2: understand and manipulate the optimum conditions in constrained and multivariable problems;
O3: solve an actual optimization problem with the appropriate mathematical method and its software;
O4: understand and apply the multiobjective optimization concept;
05: design and analyze an optimized energy network.