Course Overview

This course will show how numerical optimization can be applied to either solve and/or gain deeper insights into design problems. This course is intended for engineers who have not had any training in optimization. It will cover the basics of how to formulate an optimization problem. Then, how to set up and solve an optimization problem in software. It will cover important properties of optimization problems and algorithms. Along with some common pitfalls and best practices. This course will show how optimization can be used effectively in a larger human-driven design process. It will give examples of how it can be used to efficiently carry out many design and trade-off studies in the preliminary design phase. Identify the most important driving factors and constraints in the intermediate design phase. How optimization can be used to refine the design in the final design phase.

Main Goal

Applying numerical design optimization will help you find improved designs automatically and allow you to carry out more design studies.

Skills To Be Gained

After this course, you can

1. Translate engineering design problem into optimization problems:
• What is an objective function?
• What are design variables?
• What are constraints?
2. How to couple an optimization algorithm to analysis tools
3. How to interpret optimization results and gather deeper insights on your design problem
4. Understanding on common pitfalls and best practices
5. Knowledge on the different optimization tools that are available.
6. Build a comprehensive understanding of the methodologies, data sources, and best practices fundamental to modern wind resource assessment.

Practical Notes

This course will be stackable with other LLL courses that will be developed by DTU Wind, to form certain specialisations or micro-degrees.