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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)
Institut
TORE-URI
First published in
Number in series
30.1
Start Page
2864
End Page
2871
Article Number
210443
Citation
Building Simulation 2019: 16th Conference of IBPSA, Rome, Italy (2019-09)
Contribution to Conference
Publisher DOI
Publisher Link
Scopus ID
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