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: |
Flexibility (engineering)
Modelica Computer science Property (programming) Control (management) Control engineering multienergy systems [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SPI.AUTO]Engineering Sciences [physics]/Automatic energy-based ranking Ranking Proof of concept model reduction Production (economics) Energy (signal processing) |
| 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 |
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