| 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. |
