Mapping SysML v2 to NGSI-LD: Enhancing Energy Systems Modeling

Abstract

The world is transitioning towards green energy to address the challenges of climate change and reduce greenhouse gas emissions. However, the complexity of Multi Energy Systems (MES) requires advanced tools for efficient simulation, operation, and maintenance. This study introduces a novel parser developed using the Python open-source tool SLY, which maps critical elements from System Modeling Language version 2 (SysML v2) specifications to runtime model Next Generation Service Interface - Linked Data (NGSI-LD). This approach enables seamless communication between different energy system components. It improves the co-simulation of energy networks by integrating MES and supporting the mapping of the distributed nature of energy resources. The parser successfully demonstrates the mapping of essential SysML v2 elements to NGSI-LD, showcasing the potential for SLY-based tools to significantly contribute to the field of energy systems modeling. Our study highlights the importance of open-source tools in addressing the challenges of modern energy systems and represents a step forward in developing such tools for energy systems.