Abstract
The optimal operation of energy systems is essential for future sustainable energy systems. While previous studies have shown the potential for equation-based modelling languages for the dynamic optimization of various systems, there is a lack of scalability studies. We investigated the scalability of two different Modelica-based tools for dynamic optimization using two use cases. The first case represents a dynamic optimization of the heating system of a multi-zone building. The second case represents a dynamic optimization of a small-scale district heating system. We show that linear scaling is possible for the tested range.
| Originalsprache | englisch |
|---|---|
| Titel | SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers |
| ISBN (elektronisch) | 9781728111568 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 1 Sept. 2019 |
| Veranstaltung | 2nd International Conference on Smart Energy Systems and Technologies: SEST 2019 - Porto, Portugal Dauer: 9 Sept. 2019 → 11 Sept. 2019 |
Publikationsreihe
| Name | SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies |
|---|
Konferenz
| Konferenz | 2nd International Conference on Smart Energy Systems and Technologies |
|---|---|
| Land/Gebiet | Portugal |
| Ort | Porto |
| Zeitraum | 9/09/19 → 11/09/19 |
ASJC Scopus subject areas
- Artificial intelligence
- Computernetzwerke und -kommunikation
- Energieanlagenbau und Kraftwerkstechnik
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Elektrotechnik und Elektronik
- Steuerung und Optimierung
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
