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The 14th International Modelica Conference
Linköping, September 20-24, 2021

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Papers by Pierre Haessig

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 Creative Commons License
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}
}