Document IIF
Une bibliothèque Modelica open-source pour faciliter la conception et le contrôle de modèles de pompes à chaleur modulaires et évolutifs utilisant des frigorigènes naturels.
An open-source Modelica library for design and control: Modular and scalable heat pump models using natural refrigerants.
Numéro : 1068
Auteurs : VERING C., ENGELPRACHT M., NUERENBERG M., MUELLER D.
Résumé
Achieving climate goals in the building sector, heat pumps using natural refrigerants are particularly promising compared with fossil-fired technologies to decrease emissions. For the efficient design of heat pumps, simulation methodologies are increasingly applied, and the modelling language Modelica has proven suitable for developing thermo-hydraulic simulation models. However, Modelica libraries for heat pump models are often very specific or not open-source that reusability is limited. Instead, a uniform modelling architecture is neces-sary that allows using tailor-made modelling approaches depending on the application. Therefore, we propose an open-source Modelica library (https://github.com/RWTH-EBC/AixLib/issues/739) containing models for natural refrigerants and modular scalable heat pump components. The models are developed according to a uniform three-layer architecture. Refrigerant models base on the Helmholtz Equation of State validated using RefProp 9.1, whereas component models base on e.g. semi-empirical approaches validated using data from the literature. Additionally, modularity and scalability are proven in simulation examples for all components.
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An open-source Modelica library for design and control: Modular and scalable heat pump models using natural refrigerants
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Détails
- Titre original : An open-source Modelica library for design and control: Modular and scalable heat pump models using natural refrigerants.
- Identifiant de la fiche : 30027991
- Langues : Anglais
- Source : 14th IIR-Gustav Lorentzen Conference on Natural Refrigerants (GL2020). Proceedings. Kyoto, Japon, December 7-9th 2020.
- Date d'édition : 07/12/2020
- DOI : http://dx.doi.org/10.18462/iir.gl.2020.1068
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