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
Mojtaba Meshkinkiya enhanced the embodied energy calculation feature in the CityEnergyAnalyst repository, focusing on improving lifecycle assessment accuracy and data integrity. He standardized terminology and labeling, refined component-level calculations, and updated schemas to clearly separate embodied emissions from biogenic carbon uptake using consistent units. Working primarily in Python and YAML, Mojtaba leveraged skills in building performance simulation, data analysis, and schema definition to deliver code and schema updates that enable clearer reporting and traceability. These improvements support more reliable greenhouse gas accounting and facilitate better decision-making for energy planning and sustainability reporting within the CityEnergyAnalyst platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
494
Activity Months1
Your Network
9 peopleWork 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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