Facts
Any additional expenses are not included
In this module, you gain a deep and practical understanding of modern control techniques, with a particular focus on Model Predictive Control (MPC) applied to real-world building systems. The course combines theory lectures with hands-on lab sessions using a Speedgoat real-time controller. Topics include classical and modern control theory, LQR and LQG optimal control, grey box modeling of buildings using real data, and MPC design and implementation.
The module is offered by the Building Energy Systems and Indoor Environment research group at BUILD, Department of the Built Environment, Aalborg University. It is aimed at building service engineers, HVAC professionals, building automation specialists, and energy professionals with a minimum of two years of relevant work experience.
5 things you will gain from the Advanced Control for Building Applications module:
- A thorough understanding of classical and modern control system principles and their application to building systems.
- Practical skills in formulating and applying LQR and LQG optimal control strategies.
- Hands-on experience designing and implementing MPC strategies for building applications using a Speedgoat real-time controller.
- The ability to develop and validate grey box models from experimental building data.
- Competences to evaluate and compare the performance of PI, LQG, and MPC strategies in terms of comfort and energy cost.
Target group and outcome
Structure of the module
3 good reasons for your company or employer
- 1
Equip your team with cutting-edge control competences that enable energy flexibility and smart grid integration in buildings.
- 2
Strengthen your organisation's capacity to deliver advanced building automation and energy management solutions.
- 3
Increase your competitive advantage by offering MPC-based optimisation expertise – a growing demand in the building sector.