Contributed to the open-energy-transition/pypsa-eur repository by enhancing the model’s heating infrastructure data, specifically integrating existing biomass heating systems for both urban decentralized and rural areas. This work improved the completeness and fidelity of heating network modeling, supporting more accurate scenario analysis and planning for energy transition projects. The approach involved careful data integration using Python, with attention to backend development and data analysis best practices. Additional efforts included updating release notes, correcting documentation, and resolving pre-commit issues to maintain code quality and CI stability. The changes were delivered with minimal disruption to existing models, emphasizing maintainability and clarity.