Educational guide School of Chemical Engineering |
english |
Chemical Engineering (2013) |
Subjects |
PRODUCT AND PROCESS DESIGN I |
Contents |
IDENTIFYING DATA | 2023_24 |
Subject | PRODUCT AND PROCESS DESIGN I | Code | 20695105 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Compulsory | First | 1Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Topic | Sub-topic |
Introduction | - Process modelling as a tool for product and process design (digital twins). - Types of optimization problems. |
Nonlinear Programming (NLP) | - Introduction to modelling and optimization. - Convexity of an optimization problem. - Karush-Kuhn Tucker conditions of an optimization problem. - Geometrical interpretation. |
Linear Programming (LP) |
- Introduction to linear programming. - Geometrical interpretation. - Sensitivity analysis in LP problems. |
Mixed-Integer Linear Programming (MILP) | - Fundamentals of MILP. - Logical constraints: modelling with binary variables. - BigM and convex hull reformulations. - Branch and bound method. |
Mixed-Integer Nonlinear Programming (MINLP) | - Fundamentals of MINLP. - Branch and bound method for MINLP. - Outer approximation method. - Integer cuts. - Global optimization: spatial branch and bound and outer approximation. |
Multiobjective optimization (MOO) | - Fundamentals of MOO, Pareto frontier. - MOO methods: epsilon constraint. |
Optimization with Excel | - Introduction to Excel. - The Solver tool for optimization problems. |
Life Cycle Assessment (LCA) | - Introduction to LCA. - Incorporating LCA into the design of products and processes. - LCA software and databases. |