Abstract
In this research, a modelling tool is presented to de- rive surrogate models of thermal energy transfers in buildings, to support the development and testing of smart control algorithms. A data-driven approach is used to identify a model that is able to predict the indoor temperature in a case-study building when an electric heater is turned on. The approach is demon- strated on data obtained from EnergyPlus simula- tions, which resolve the heat balance equations to simulate the thermal response of a building. The model structure that was selected is a second-order ARMAX transfer function whose parameters were identified with a Least Squares optimisation criterion. The model inputs were limited to the heater’s power, the global horizontal solar radiation and the outdoor dry-bulb temperature.
| Original language | English |
|---|---|
| Pages (from-to) | 1810-1817 |
| Number of pages | 8 |
| Journal | Building Simulation Conference proceedings |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 17th Conference of IBPSA - Bruges, Belgium Duration: 1 Sep 2021 → 3 Sep 2021 http://www.ibpsa.org/ |
Bibliographical note
Funding Information:1This work was financially supported in part by the Flemish Government (Methusalem Fund METH1), and in part by the Fund for Scientific Research (FWO).
Funding Information:
For this study, EnergyPlus (an open-source software developed and funded by the U.S. Department of Energy (DOE)) is used to generate realistic data sets. The model estimation approach proposed in this paper is developed such as to be useable on actual measurements as well, to be implemented in future work.
Publisher Copyright:
© International Building Performance Simulation Association, 2022
Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.