This thesis investigates the design and evaluation of vertical scaling techniques to enhance simulation performance within large-scale co-simulation environments for Multi-Energy Systems (MES). MES are systems where buildings, power grids, gas infrastructure, and heating systems interact optimally at various scales. Compared to traditional isolated energy systems, these systems represent a significant opportunity to enhance technical, economic, and environmental performance. As MES complexity increases, standalone simulations often fail to capture their interdisciplinary nature. In response, co-simulation frameworks, which integrate multiple simulators into a single coordinated environment, are used to model these systems holistically. Within a co-simulation framework, the orchestrator manages the interaction between simulators, each representing different model instances within a defined scenario.