An Ontology-based methodology to assist complex energy co-simulation setup

Heterogeneous software ecosystems and simulation tools' coupling complexities are significant challenges in the design and simulation of Multi-Energy-Systems (MES). In such multidisciplinary environments interoperability issues hinder effective collaboration, while data heterogeneity obstructs seamless integration and consistent interpretation. Moreover, as the number of simulated entities grows, the need for human intervention for configuring and coupling models for execution becomes increasingly necessary. Semantic web technologies offer powerful solutions to address these challenges by means of knowledgedriven strategies. In this context, this paper proposes an ontologybased methodology, that will support coherent simulation set-up design, easy integration of new tools and data into existing workflows and will ensure interoperability and reusability of simulation results, paving the way towards accurate and automated MES simulations. The proposed approach was validated through a multi-simulator co-simulation of a building energy system, confirming its effectiveness in ensuring semantic compatibility, dynamic configuration, and consistency of simulation outputs.