ZerOBNL: A framework for distributed and reproducible co-simulation

Pablo Puerto (1) , Edmund Widl (2) , Jessen Page (3)

1 RAPSODEE - Centre de recherche d'Albi en génie des procédés des solides divisés, de l'énergie et de l'environnement
2 AIT - Austrian Institute of Technology [Vienna]
3 University of Applied Sciences of Western Switzerland

Co-simulation combines multiple tools depending on a range of various requirements. This creates a mix of coexisting computation environments and makes co-simulation difficult to deploy and reproduce. On the other hand, due to its partitioned structure, it also offers a way to split and distribute the computation over multiple cores, potentially reducing simulation time. This paper addresses a way for handling and taking advantages of these aspects. An innovative framework providing simplified deployment, distributed computation and encapsulation for enhanced and reproducible co-simulation is presented, based on state-of-the-art open-source information technology tools and applications. By applying this framework to the simulation of a multi-network urban energy system, a proof-of-concept for the presented approach is given. The presented framework intends to enable researchers and engineers to not only simulate complex systems, but also create reproducible execution environments and workflows.

Mots clés: ZeroMQ; ZerOBNL; Framework; Docker; Distributed computation; Co-simulation

Domaines: Sciences de l'ingénieur [physics]

Pablo Puerto, Edmund Widl, Jessen Page. ZerOBNL: A framework for distributed and reproducible co-simulation. MSCPES 2019 - 7th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Apr 2019, Montreal, Canada. pp.1-6, ⟨10.1109/MSCPES.2019.8738787⟩. ⟨hal-02196882⟩