The 14th International
Linköping, September 20-24, 2021
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| Title: | Energy-based Method to Simplify Complex Multi-Energy Modelica Models |
|---|---|
| Authors: | Joy El Feghali, Guillaume Sandou, Hervé Guéguen, Pierre Haessig and Damien Faille |
| Abstract: | Energy production and consumption systems increasingly require more flexibility. The design of new control solutions can be a step, among others, towards flexibility. However, these control solutions often rely on the use of complex models, which are difficult to both manipulate and simulate. This paper presents a solution to reduce the complexity of multi-energy models modeled with Modelica language. This complexity-reducing solution is based on simplifying the model's components that contribute less to the total energy using an energy-based ranking technique. The solution is successfully applied to a complex city district model. A property of the Modelica language further allows replacing low-ranked components without being compelled to fully redesign the model. Criteria verifying the multi-energy reduced model's precision, while respecting physical constraints, are also introduced. |
| Keywords: | energy-based ranking, model reduction, multi-energy systems, Modelica |
| Paper: | full paper ![]() |
| Bibtex: |
@InProceedings{modelica.org:Feghali:2021,
title = "{Energy-based Method to Simplify Complex Multi-Energy Modelica Models}",
author = {Joy El Feghali and Guillaume Sandou and Herv\'e Gu\'eguen and Pierre Haessig and Damien Faille},
pages = {577--585},
doi = {10.3384/ecp21181577},
booktitle = {Proceedings of the 14th International Modelica Conference},
location = {Link\"oping, Sweden},
editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel},
isbn = {978-91-7929-027-6},
issn = {1650-3740},
month = sep,
series = {Link\"oping Electronic Conference Proceedings},
number = {181},
publisher = {Modelica Association and Link\"oping University Electronic Press},
year = {2021}
}
|