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Conference Papers Year : 2021

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


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.
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hal-03408376 , version 1 (29-10-2021)



Joy El Feghali, Guillaume Sandou, Hervé Guéguen, Pierre Haessig, Damien Faille. Energy-based Method to Simplify Complex Multi-Energy Modelica Models. 14th Modelica Conference 2021, Sep 2021, Linköping, Sweden. pp.577-585, ⟨10.3384/ecp21181577⟩. ⟨hal-03408376⟩
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