remindmodel/remind
Dec 2024 – Sep 2025
2 Months active
Languages Used
GAMS
Technical Skills
Climate Change EconomicsEconomic ModelingSoftware MaintenanceClimate ModelingCode RefactoringData Modeling
piontek
PROFILE
Piontek
Over a two-month period, Piontek contributed to the remindmodel/remind repository by integrating the COACCH damage realization model into the REMIND damages module, aligning parameter and set naming conventions, and performing code refactoring to improve maintainability. Using GAMS and leveraging expertise in climate modeling and economic modeling, Piontek standardized set names with module-number prefixes to ensure consistency across the codebase. Additionally, Piontek addressed a division-by-zero issue in the SCC calculation by introducing a small epsilon, enhancing the stability and accuracy of preference parameter calculations. These contributions improved the reliability and extensibility of climate change economic modeling workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
417
Activity Months2
Your Network
69 people
Work History
September 2025
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09. This month delivered the COACCH damage model integration into REMIND, embedding the damage realization model into the main damages module and its iterative internalization counterpart. Naming conventions for parameters and sets within COACCH were aligned with REMIND standards. Performed code cleanup and refactoring in the damage modules to improve readability and maintainability. Standardized set names to include module numbers, ensuring consistent references across the integration. The changes enable more accurate damage assessment, easier scenario comparison, and a solid foundation for future enhancements.
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09. This month delivered the COACCH damage model integration into REMIND, embedding the damage realization model into the main damages module and its iterative internalization counterpart. Naming conventions for parameters and sets within COACCH were aligned with REMIND standards. Performed code cleanup and refactoring in the damage modules to improve readability and maintainability. Standardized set names to include module numbers, ensuring consistent references across the integration. The changes enable more accurate damage assessment, easier scenario comparison, and a solid foundation for future enhancements.
September 2025
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary: Implemented a robust bug fix for SCC calculations in remind model, introducing a small epsilon to prevent division by zero in SCC calculations within the internalizeDamages module. Changes applied across multiple GMS files, improving stability and accuracy of preference parameter calculations. This reduces the risk of NaN results and enhances reliability for production workloads.
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary: Implemented a robust bug fix for SCC calculations in remind model, introducing a small epsilon to prevent division by zero in SCC calculations within the internalizeDamages module. Changes applied across multiple GMS files, improving stability and accuracy of preference parameter calculations. This reduces the risk of NaN results and enhances reliability for production workloads.
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GAMS
Technical Skills
Climate Change EconomicsClimate ModelingCode RefactoringData ModelingEconomic ModelingModel ConfigurationModule ManagementSoftware DevelopmentSoftware Maintenance
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