architecture-building-systems/CityEnergyAnalyst
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonYAML
Technical Skills
Building Performance SimulationData AnalysisGreenhouse Gas EmissionsLife Cycle AssessmentPandasPython
Maryam MeshkinKiya
PROFILE
Maryam Meshkinkiya
Mahdi Meshkinkiya enhanced the CityEnergyAnalyst repository by delivering a comprehensive update to the embodied energy calculation feature. He focused on standardizing terminology, refining component-level life cycle assessment, and updating schemas to clearly separate embodied emissions from biogenic carbon uptake with consistent units and labeling. Using Python, Pandas, and schema definition techniques, Mahdi improved data integrity and traceability, enabling more accurate lifecycle assessment reporting. His work addressed the need for clearer comparison across building components and lifecycle stages, supporting regulatory and stakeholder reporting. The depth of these changes provided enhanced decision support for energy planning and sustainability analysis within the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
494
Activity Months1
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024: CityEnergyAnalyst delivered major Embodied Energy Calculation enhancements, focusing on terminology standardization, component-level LCA refinements, and schema updates to separate embodied emissions from biogenic carbon uptake with consistent units and labeling. Code and schema updates are backed by three targeted commits, improving data integrity, traceability, and reporting accuracy for lifecycle assessment.
3 Commits • 1 Features
Nov 1, 2024November 2024: CityEnergyAnalyst delivered major Embodied Energy Calculation enhancements, focusing on terminology standardization, component-level LCA refinements, and schema updates to separate embodied emissions from biogenic carbon uptake with consistent units and labeling. Code and schema updates are backed by three targeted commits, improving data integrity, traceability, and reporting accuracy for lifecycle assessment.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Building Performance SimulationData AnalysisGreenhouse Gas EmissionsLife Cycle AssessmentPandasPythonSchema Definition
Repositories Contributed To
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