at Google ScholarTitle data
Zinsmeister, Daniel ; Tzscheutschler, Peter ; Perić, Vedran S. ; Goebel, Christoph:
Stratified thermal energy storage model with constant layer volume for predictive control : Formulation, comparison, and empirical validation.
In: Renewable Energy.
Vol. 219, Part 2
(2023)
.
- 119511.
ISSN 1879-0682
DOI: https://doi.org/10.1016/j.renene.2023.119511
Abstract in another language
Recent developments in heating systems have witnessed a significant increase of heat pumps with a highly temperature-dependent efficiency. Optimal real-time operation of these heating systems with predictive control requires a thorough understanding and modeling of the internal temperature distribution of the associated thermal energy storage. At the same time, the thermal energy storage models need to be sufficiently simple to ensure computational tractability in real-time predictive control. Therefore, this article presents a stratified thermal energy storage model with constant layer volume and variable temperature suitable for real-time predictive control. The model employs a novel formulation with quadratic or simpler constraints which enable high accuracy at low computation burden. The proposed model is validated experimentally and compared with other models available in literature. The results show that the proposed stratified thermal energy storage model represents the real-world behavior of a thermal energy storage with great accuracy, while reducing the required computational burden as compared to other models for real-time operation and control. A case study further demonstrates that the increased accuracy of the proposed new model leads to cost and energy savings for the operator.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | Thermal energy storage; Model predictive control; Optimization; Energy management system; Experimental validation |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Intelligent Energy Management > Chair Intelligent Energy Management - Univ.-Prof. Dr. Vedran Peric |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 25 Mar 2026 06:22 |
| Last Modified: | 25 Mar 2026 06:22 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96163 |