open-energy-transition/pypsa-earth
Jun 2026 – Jun 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Python programmingYAMLconfiguration managementdata modeling
Kwaku Duah
PROFILE
Kwaku Duah
Developed and delivered a country-specific configuration for Ghana within the PyPSA-Earth repository, enabling detailed grid modeling and visualization tailored to Ghana’s energy landscape. The work involved refactoring and centralizing configuration files using Python and YAML, with a focus on maintainability and reproducibility. Infrastructure was added to support technology cost projections and automated data recovery, enhancing the model’s ability to analyze policy-relevant scenarios. Continuous integration and data hygiene practices were strengthened through pre-commit fixes and syntax improvements. This contribution provided full-year data coverage and historical consistency, supporting robust energy-transition analytics for Ghana within the open-energy-transition/pypsa-earth project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,128
Activity Months1
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary: Delivered country-specific Ghana configuration for PyPSA-Earth, enabling Ghana-focused grid modeling and visualization, with infrastructure for cost projections and data recovery. Refactored and centralized Ghana config for maintainability, and hardened CI/data hygiene to improve reproducibility. This work strengthens Ghana-based energy-transition analytics and accelerates policy-relevant scenario analysis.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary: Delivered country-specific Ghana configuration for PyPSA-Earth, enabling Ghana-focused grid modeling and visualization, with infrastructure for cost projections and data recovery. Refactored and centralized Ghana config for maintainability, and hardened CI/data hygiene to improve reproducibility. This work strengthens Ghana-based energy-transition analytics and accelerates policy-relevant scenario analysis.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Python programmingYAMLconfiguration managementdata modeling
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