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.
| Original language | English |
|---|---|
| Title of host publication | SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies |
| Publisher | IEEE |
| ISBN (Electronic) | 9781728111568 |
| DOIs | |
| Publication status | Published - 1 Sept 2019 |
| Event | 2nd International Conference on Smart Energy Systems and Technologies: SEST 2019 - Porto, Portugal Duration: 9 Sept 2019 → 11 Sept 2019 |
Publication series
| Name | SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies |
|---|
Conference
| Conference | 2nd International Conference on Smart Energy Systems and Technologies |
|---|---|
| Country/Territory | Portugal |
| City | Porto |
| Period | 9/09/19 → 11/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- district energy system
- dynamic optimization
- equation-based modelling
- scalability
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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