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

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 proof of concept of a method that reduces the complexity of multi-energy models modeled with Modelica language. This complexity-reducing 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 redec-laration of low-ranked components without being com-pelled to fully redesign the model. Criteria verifying the multi-energy reduced model’s precision, while respecting physical constraints, are also introduced.