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
Worked on the CityEnergyAnalyst repository to deliver comprehensive enhancements to the embodied energy calculation feature, focusing on improving lifecycle assessment accuracy. The approach involved standardizing terminology and schema definitions to clearly separate embodied emissions from biogenic carbon uptake, ensuring consistent units and labeling throughout the data pipeline. Leveraging Python, YAML, and Pandas, the updates refined component-level calculations and improved data integrity, enabling more reliable reporting and traceability for greenhouse gas emissions. These changes supported better decision-making for energy planning and sustainability reporting, aligning lifecycle assessment outputs with regulatory and stakeholder requirements while enhancing the clarity and comparability of results.
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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