Energy-based Method to Simplify Complex Multi-Energy Modelica Models

Autor: Pierre Haessig, Damien Faille, Joy El Feghali, Guillaume Sandou, Hervé Guéguen
Přispěvatelé: CentraleSupélec, Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), EDF R&D (EDF R&D), EDF (EDF), Nantes Université (NU)-Université de Rennes 1 (UR1)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021
14th Modelica Conference 2021
14th Modelica Conference 2021, Sep 2021, Linköping, Sweden. pp.577-585, ⟨10.3384/ecp21181577⟩
Popis: International audience; 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 proof of concept of a method that reduces the complexity of multi-energy models modeled with Modelica language. This complexityreducing method is based on simplifying the model's components that contribute less to the total energy using an energy-based ranking technique. The proposed solution is successfully applied to a complex city district model. A property of the Modelica language further allows redeclaration of 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.
Databáze: OpenAIRE