This thesis develops and integrates a physics-based multi-zone building model in Modelica within a distributed co-simulation framework for the dynamic analysis of Renewable Energy Communities (RECs). The model represents envelope stratigraphies and interzonal thermal interactions, overcoming simplified single-zone equivalent formulations by preserving explicit envelope stratification and interzonal heat transfer dynamics. This approach ensures physical consistency and spatial granularity in the representation of building thermal behavior. The model is made scalable through an automated parameter-generation procedure implemented in Python, which processes datasets derived from Energy Performance Certificates (EPCs) and geometric files obtained via QGIS. This workflow enables the systematic and replicable construction of multiple buildings from territorial datasets, while maintaining a coherent parametric structure fully compatible with Modelica syntax and semantics.