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Computational Methods of Energy- and Climate Design
Last Updated: 2026-02-05 16:01:02
Abstract
The course 'Energy- and Climate Systems III' introduces computational design and analysis methods and tools for climate responsive architectural design. Exercises throughout the semester allow applying new concepts learnt in exemplary architectural design tasks.
Objective
By the end of this course, students will be able to: • compare and assess passive and active design strategies for bioclimatic buildings • analyze environmental site characteristics for its climate and (solar) energy potentials • apply computational simulation tools to support performance-driven designs • translate design ideas into parametric models and into optimization problems • synthesize learnt content of the course in exemplary architectural design tasks, serving as a basis for the students’ future design studios and projects
Content
1. Concepts of climate responsive design 2. Computational analysis methods - Climate and site analysis - Daylight, airflow and energy simulations - Energy supply systems optimization models (energy hub) 3. Computational methods for performance driven design - Parametric design - Sensitivity and uncertainty analysis - Single and multi-objective optimization 4. Exercises and walkthroughs 5. Invited expert speakers and panel discussion
Resources
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Computational Methods of Energy- and Climate Design
No course 28.10. (seminar week) and in the last two semester weeks (final critiques).
ITA Pool Introduction Event Wednesday September 7, 2022, 10-11 am (online).
|
|
2 h weekly |