@inproceedings{60de8f1a1ca946869db85fb1cd7aaf80,
title = "Equation-based modelling for dynamic optimization of district scale energy systems- A scalability study",
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.",
keywords = "district energy system, dynamic optimization, equation-based modelling, scalability",
author = "Gerald Schweiger and Filip Jorissen and Hakan Runvik and Lieve Helsen",
year = "2019",
month = sep,
day = "1",
doi = "10.1109/SEST.2019.8849039",
language = "English",
series = "SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies",
publisher = "IEEE",
booktitle = "SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies",
address = "United States",
note = "2nd International Conference on Smart Energy Systems and Technologies : SEST 2019 ; Conference date: 09-09-2019 Through 11-09-2019",
}
