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
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} }