Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models

Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Freund, Svenne  
Schmitz, Gerhard  
Institut
Technische Thermodynamik M-21  
TORE-URI
http://hdl.handle.net/11420/4593
First published in
Building Simulation Conference proceedings  
Number in series
16
Start Page
2864
End Page
2871
Citation
16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019: 2864-2871
Contribution to Conference
16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019  
Publisher DOI
10.26868/25222708.2019.210443
Publisher Link
http://www.ibpsa.org/building-simulation-2019
Scopus ID
2-s2.0-85105336829
ISBN
978-1-7138-0941-8
978-1-7750520-1-2
Model redictive control (MPC) is investigated in a large-sized, low-energy office building. This paper is a first step for implementing MPC in the building and identifies the possible outcomes in energy savings and thermal comfort simulation-based. A framework for parameter identification and optimal control has been developed. Unlike the majority of MPC studies, this study uses grey-box models which are implemented in Modelica which has several advantages. The simulation results suggest an improved comfort level by reducing the occurrence of high temperature peaks and less fluctuating indoor air temperatures. The obtained savings in used heat energy are about 12% compared to conventional control.
DDC Class
000: Allgemeines, Wissenschaft