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

Gerald Schweiger, Filip Jorissen, Hakan Runvik, Lieve Helsen

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

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.

Originalspracheenglisch
TitelSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781728111568
DOIs
PublikationsstatusVeröffentlicht - 1 Sep 2019
Veranstaltung2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal
Dauer: 9 Sep 201911 Sep 2019

Publikationsreihe

NameSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Konferenz

Konferenz2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
LandPortugal
OrtPorto
Zeitraum9/09/1911/09/19

ASJC Scopus subject areas

  • Artificial intelligence
  • !!Computer Networks and Communications
  • !!Energy Engineering and Power Technology
  • !!Renewable Energy, Sustainability and the Environment
  • !!Electrical and Electronic Engineering
  • !!Control and Optimization

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