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Equation-based modelling for dynamic optimization of district scale energy systems – a scalability study

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Sep 2019Publisher:IEEEJournal:2019 International Conference on Smart Energy Systems and Technologies (SEST)

Authors: Lieve Helsen; Filip Jorissen; Håkan Runvik; Gerald Schweiger;

doi: 10.1109/sest.2019.8849039

Equation-based modelling for dynamic optimization of district scale energy systems – a scalability study

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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.

Related Organizations

Graz University of Technology
Austria
Katholieke Universiteit Leuven
Belgium

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