Multi-Energy Systems (MES) represent a paradigm in which various energy systems, such as buildings, power grids, and heating networks, are integrated to operate in a cohesive manner. These systems provide a significant opportunity to improve technical, economic, and environmental outcomes. However, the complexity of MES poses challenges in accurately capturing their interdisciplinary interactions using standalone simulations, which often do not adequately model their interconnected nature. Co-simulation frameworks have emerged as a promising solution to this challenge, enabling the coordination of multiple simulators within a single scenario. However, computationally intensive simulators can often hinder scalability, especially as the complexity of the simulations increases. This paper proposes a methodology to apply vertical scalability techniques to simulators and optimise each single-node performance in co-simulation frameworks. Using COESI, a Mosaik-based co-simulation platform, it was possible to systematically test these techniques by increasing the number of model entities a simulator class must manage in a complex MES scenario. This study highlights selective parallelisation as a key strategy for optimising computational efficiency in MES co-simulation, offering insights to scale complex energy systems effectively. The results demonstrate significant performance gains, particularly for CPU-intensive tasks with stateless simulators, such as executing intensive numerical computations.
Design and Evaluation of Vertical Scalability Strategies for Deploying Large-scale Co-simulations / Valeriano, Carlos Gerardo; Estebsari, Abouzar; Bottaccioli, Lorenzo; Patti, Edoardo; Schiera, Daniele Salvatore; Barbierato, Luca. - (2025), pp. 2046-2052. (Intervento presentato al convegno 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC) tenutosi a Toronto (CAN) nel July 8-11, 2025) [10.1109/compsac65507.2025.00286].
Design and Evaluation of Vertical Scalability Strategies for Deploying Large-scale Co-simulations
Valeriano, Carlos Gerardo;Estebsari, Abouzar;Bottaccioli, Lorenzo;Patti, Edoardo;Schiera, Daniele Salvatore;Barbierato, Luca
2025
Abstract
Multi-Energy Systems (MES) represent a paradigm in which various energy systems, such as buildings, power grids, and heating networks, are integrated to operate in a cohesive manner. These systems provide a significant opportunity to improve technical, economic, and environmental outcomes. However, the complexity of MES poses challenges in accurately capturing their interdisciplinary interactions using standalone simulations, which often do not adequately model their interconnected nature. Co-simulation frameworks have emerged as a promising solution to this challenge, enabling the coordination of multiple simulators within a single scenario. However, computationally intensive simulators can often hinder scalability, especially as the complexity of the simulations increases. This paper proposes a methodology to apply vertical scalability techniques to simulators and optimise each single-node performance in co-simulation frameworks. Using COESI, a Mosaik-based co-simulation platform, it was possible to systematically test these techniques by increasing the number of model entities a simulator class must manage in a complex MES scenario. This study highlights selective parallelisation as a key strategy for optimising computational efficiency in MES co-simulation, offering insights to scale complex energy systems effectively. The results demonstrate significant performance gains, particularly for CPU-intensive tasks with stateless simulators, such as executing intensive numerical computations.File | Dimensione | Formato | |
---|---|---|---|
2025_COMPSAC___Design_and_evaluation_of_vertical_scalability_strategies_for_deploying_large_scale_co_simulation_infrastructures.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
444.54 kB
Formato
Adobe PDF
|
444.54 kB | Adobe PDF | Visualizza/Apri |
Design_and_Evaluation_of_Vertical_Scalability_Strategies_for_Deploying_Large-scale_Co-simulations.pdf
accesso riservato
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
359.34 kB
Formato
Adobe PDF
|
359.34 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/3002675