This title appears in the Scientific Report :
2021
Please use the identifier:
http://dx.doi.org/10.1002/bapi.202000031 in citations.
Hierarchical Model Predictive Control for Complex Building Energy Systems
Hierarchical Model Predictive Control for Complex Building Energy Systems
In this paper, a hierarchical Modelica-based Model Predictive Control (MPC) is presented in order to control complex building energy systems with different dynamics. The hierarchical MPC concept tackles the problem of controlling buildings with slow dynamics such as thermally activated building syst...
| Personal Name(s): | Mork, Maximilian (Corresponding author) |
|---|---|
| Xhonneux, André / Müller, Dirk | |
| Contributing Institute: |
Modellierung von Energiesystemen; IEK-10 |
| Published in: | Bauphysik, 42 (2020) 6, S. 306-314 |
| Imprint: |
Berlin
Ernst
2020
|
| DOI: |
10.1002/bapi.202000031 |
| Document Type: |
Journal Article |
| Research Program: |
Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |
| Publikationsportal JuSER |
|
In this paper, a hierarchical Modelica-based Model Predictive Control (MPC) is presented in order to control complex building energy systems with different dynamics. The hierarchical MPC concept tackles the problem of controlling buildings with slow dynamics such as thermally activated building systems (TABS) and fast actuators such as air handling units (AHUs). It further addresses prediction errors of system disturbances (e.g. weather, occupancy) and ensures anticipation, reactivity and real-time capability. The benefits compared to single MPC, Rule-Based-Control (RBC) and Proportional-Integrative-Derivative (PID) strategies are demonstrated in simulations on Modelica models including detailed models for solar shading and visual comfort. |