The ongoing energy transition to reduce carbon emissions presents some of the most formidable challenges the energy sector has ever experienced, requiring a paradigm change that involves diverse players and heterogeneous concerns, includ- ing regulations, economic drivers, societal, and environmental aspects. Central to this transition is the adoption of integrated multi-energy systems (MES) to efficiently produce, distribute, store, and convert energy among different vectors. A deep understanding of MES is fundamental to harness the potential for energy savings and foster energy transition towards a low carbon future. Unfortunately, the inherent complexity of MES makes them extremely difficult to analyze, understand, design and optimize. This work proposes a digital twin co-simulation platform that provides a structured basis to design, develop and validate novel solutions and technologies for multi-energy system. The platform will enable the definition of a virtual representation of the real-world (digital twin) as a composition of models (co-simulation) that analyze the environment from multiple viewpoints and at different spatio-temporal scales.

COMET: Co-simulation of Multi-Energy Systems for Energy Transition / Barbierato, Luca; Schiera, Daniele Salvatore; Scoccia, Rossano; Margara, Alessandro; Bottaccioli, Lorenzo; Patti, Edoardo. - (2022), pp. 1343-1348. ((Intervento presentato al convegno 46th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2022) tenutosi a Virtual Conference (due to Covid-19) nel 27 June 2022 - 01 July 2022 [10.1109/COMPSAC54236.2022.00212].

COMET: Co-simulation of Multi-Energy Systems for Energy Transition

Barbierato, Luca;Schiera, Daniele Salvatore;Bottaccioli, Lorenzo;Patti, Edoardo
2022

Abstract

The ongoing energy transition to reduce carbon emissions presents some of the most formidable challenges the energy sector has ever experienced, requiring a paradigm change that involves diverse players and heterogeneous concerns, includ- ing regulations, economic drivers, societal, and environmental aspects. Central to this transition is the adoption of integrated multi-energy systems (MES) to efficiently produce, distribute, store, and convert energy among different vectors. A deep understanding of MES is fundamental to harness the potential for energy savings and foster energy transition towards a low carbon future. Unfortunately, the inherent complexity of MES makes them extremely difficult to analyze, understand, design and optimize. This work proposes a digital twin co-simulation platform that provides a structured basis to design, develop and validate novel solutions and technologies for multi-energy system. The platform will enable the definition of a virtual representation of the real-world (digital twin) as a composition of models (co-simulation) that analyze the environment from multiple viewpoints and at different spatio-temporal scales.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2970694