
During two months contributing to the CityEnergyAnalyst repository, Urban Otataranni focused on enhancing data integrity and governance for energy modeling workflows. He updated core Excel and CSV datasets, such as construction standards and use type properties, to align with the latest industry standards and correct simulation parameters. His work included refining occupation and water schedules, clarifying documentation in Markdown, and removing obsolete files to streamline data structures. By emphasizing data management, configuration, and documentation, Urban improved model reliability and onboarding efficiency without introducing code changes, demonstrating a methodical approach to maintaining simulation accuracy and supporting long-term maintainability of the repository.
January 2025 (2025-01) monthly summary for architecture-building-systems/CityEnergyAnalyst: Delivered data accuracy enhancements and streamlined data governance for core energy-modeling repo. Key features delivered include updates to type properties and building archetypes data to improve simulation accuracy; documentation clarifications for non-residential building data and internal load calculations; and data cleanup by removing obsolete SEMINAR.csv, reducing maintenance overhead. These changes were implemented via targeted commits: Update USE_TYPE_PROPERTIES.xlsx; use_types correction; Update documentation.md; Delete SEMINAR.csv. Impact: improved data fidelity for occupation and water schedules, clearer data sources for non-residential calculations, and a simplified data structure, enabling more reliable energy analyses and faster onboarding for new modelers. Technologies/skills: Excel-based data updates, CSV/Excel data governance, documentation authoring, Git-based version control, domain knowledge in building archetypes and water-use calculations.
January 2025 (2025-01) monthly summary for architecture-building-systems/CityEnergyAnalyst: Delivered data accuracy enhancements and streamlined data governance for core energy-modeling repo. Key features delivered include updates to type properties and building archetypes data to improve simulation accuracy; documentation clarifications for non-residential building data and internal load calculations; and data cleanup by removing obsolete SEMINAR.csv, reducing maintenance overhead. These changes were implemented via targeted commits: Update USE_TYPE_PROPERTIES.xlsx; use_types correction; Update documentation.md; Delete SEMINAR.csv. Impact: improved data fidelity for occupation and water schedules, clearer data sources for non-residential calculations, and a simplified data structure, enabling more reliable energy analyses and faster onboarding for new modelers. Technologies/skills: Excel-based data updates, CSV/Excel data governance, documentation authoring, Git-based version control, domain knowledge in building archetypes and water-use calculations.
December 2024 (2024-12) monthly summary for CityEnergyAnalyst focusing on data integrity, standards alignment, and stability. Delivered data-only updates and a bug fix that improve model accuracy and governance without code changes.
December 2024 (2024-12) monthly summary for CityEnergyAnalyst focusing on data integrity, standards alignment, and stability. Delivered data-only updates and a bug fix that improve model accuracy and governance without code changes.

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