cpmodel/FTT_StandAlone
Oct 2024 – Sep 2025
7 Months active
Languages Used
PythonCSVINIMarkdownExcelNumPyNumba
Technical Skills
Data ValidationError HandlingNumerical ComputingScriptingSoftware DevelopmentBackend Development
Femke Nijsse
PROFILE
Femke Nijsse
Femke Milene developed and maintained the cpmodel/FTT_StandAlone repository, delivering robust enhancements to energy and transport system modeling. Over seven months, she refactored core modules for emissions, fuel use, and investment cost calculations, centralizing logic for consistency and maintainability. Using Python, NumPy, and Numba, she implemented vectorized computations and JIT optimizations to accelerate scenario analysis and improve simulation scalability. Her work included rigorous data validation, configuration management, and documentation improvements, ensuring reliable analytics and easier onboarding. By addressing critical bugs and refining data handling, Femke enabled more accurate forecasting, streamlined codebases, and supported policy-aware decision-making for complex energy models.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
107Total
Bugs
16
Commits
107
Features
30
Lines of code
39,585
Activity Months7
Your Network
4 peopleShared Repositories
4
Work History
September 2025
7 Commits • 2 Features
Sep 1, 2025In September 2025, cpmodel/FTT_StandAlone delivered key standalone readiness and performance improvements: FTT model cleanup and module configuration for standalone runs; power system modeling enhancements with performance optimizations; and a bug fix to elapsed time calculation for accurate run duration reporting. These changes improve reliability, speed, and maintainability of standalone simulations and provide clearer, vectorized computations for emissions.
7 Commits • 2 Features
Sep 1, 2025In September 2025, cpmodel/FTT_StandAlone delivered key standalone readiness and performance improvements: FTT model cleanup and module configuration for standalone runs; power system modeling enhancements with performance optimizations; and a bug fix to elapsed time calculation for accurate run duration reporting. These changes improve reliability, speed, and maintainability of standalone simulations and provide clearer, vectorized computations for emissions.
September 2025
August 2025
34 Commits • 10 Features
Aug 1, 2025August 2025 monthly summary for cpmodel/FTT_StandAlone: Delivered a cohesive set of performance, reliability, and maintainability improvements, with a focus on documentation, speed, and smarter generation logic. The work enhances onboarding and reduces runtime, enabling faster iterations and more accurate planning for end users and stakeholders.
August 2025
34 Commits • 10 Features
Aug 1, 2025August 2025 monthly summary for cpmodel/FTT_StandAlone: Delivered a cohesive set of performance, reliability, and maintainability improvements, with a focus on documentation, speed, and smarter generation logic. The work enhances onboarding and reduces runtime, enabling faster iterations and more accurate planning for end users and stakeholders.
July 2025
16 Commits • 3 Features
Jul 1, 2025Performance summary for July 2025 (2025-07) focusing on cpmodel/FTT_StandAlone: Key features delivered - Investment cost calculation improvements across Freight, Heat, Power, and Transport; enabled Heat, Transport, and Freight modules in settings for simulation. This enables end-to-end cost assessment in more scenarios and accelerates decision-making for capital allocation. (Commit: 9e91aceb949e2df8ef2e2a9493c98036945bfd78) - Market share and regulatory policy performance improvements and refactoring: major performance enhancements, vectorized computations, and JIT/Numba optimizations; country-specific substitutions and broader code cleanliness to support faster scenario runs and more reliable policy analysis. Representative commits include start of shares refactoring and subsequent optimization work (e.g., 698e2849ae84..., 79e10c417f58b9..., 3e473044da6c1df5...). - Early scrapping costs readability improvement: renamed internal variables for clarity without changing functionality, improving maintainability (commit 5cbdca9ede8af60d3858b3604c71cc92f83830ae). Major bugs fixed - LCOH calculation bug fixes: corrected incorrect LCOH calculation related to tlcohg and gamma multiplier, ensuring cost outputs align with inputs. - Fixes to fuel costs: corrected double-counting in fuel costs standard deviation to prevent overstated variability. Overall impact and accomplishments - Improved accuracy of lifecycle cost estimates and investment decisions across multiple modules, enabling more reliable long-term planning. - Substantial gains in simulation performance and scalability via vectorization and JIT optimizations, reducing run times for large scenario analyses. - Code quality improvements and clearer maintainability through targeted refactors and naming improvements. Technologies/skills demonstrated - Python performance engineering: vectorization, JIT compilation (Numba), and optimized computation paths. - Refactoring discipline: modularization, readability enhancements, and settings-driven module enabling. - End-to-end costing discipline: alignment of LCOH, investment costs, and fuel cost calculations across Freight, Heat, Power, and Transport.
16 Commits • 3 Features
Jul 1, 2025Performance summary for July 2025 (2025-07) focusing on cpmodel/FTT_StandAlone: Key features delivered - Investment cost calculation improvements across Freight, Heat, Power, and Transport; enabled Heat, Transport, and Freight modules in settings for simulation. This enables end-to-end cost assessment in more scenarios and accelerates decision-making for capital allocation. (Commit: 9e91aceb949e2df8ef2e2a9493c98036945bfd78) - Market share and regulatory policy performance improvements and refactoring: major performance enhancements, vectorized computations, and JIT/Numba optimizations; country-specific substitutions and broader code cleanliness to support faster scenario runs and more reliable policy analysis. Representative commits include start of shares refactoring and subsequent optimization work (e.g., 698e2849ae84..., 79e10c417f58b9..., 3e473044da6c1df5...). - Early scrapping costs readability improvement: renamed internal variables for clarity without changing functionality, improving maintainability (commit 5cbdca9ede8af60d3858b3604c71cc92f83830ae). Major bugs fixed - LCOH calculation bug fixes: corrected incorrect LCOH calculation related to tlcohg and gamma multiplier, ensuring cost outputs align with inputs. - Fixes to fuel costs: corrected double-counting in fuel costs standard deviation to prevent overstated variability. Overall impact and accomplishments - Improved accuracy of lifecycle cost estimates and investment decisions across multiple modules, enabling more reliable long-term planning. - Substantial gains in simulation performance and scalability via vectorization and JIT optimizations, reducing run times for large scenario analyses. - Code quality improvements and clearer maintainability through targeted refactors and naming improvements. Technologies/skills demonstrated - Python performance engineering: vectorization, JIT compilation (Numba), and optimized computation paths. - Refactoring discipline: modularization, readability enhancements, and settings-driven module enabling. - End-to-end costing discipline: alignment of LCOH, investment costs, and fuel cost calculations across Freight, Heat, Power, and Transport.
July 2025
June 2025
23 Commits • 9 Features
Jun 1, 2025June 2025 highlights for cpmodel/FTT_StandAlone: delivered a core refactor of emission and fuel calculations with centralized emission corrections for consistency, resulting in more accurate and maintainable modeling. Implemented performance improvements and code-path cleanup to achieve faster execution. Completed data management and naming cleanup to improve data quality and governance, including CSV-based handling for classification_titles and tidy masterfiles. Integrated updated FTT:Tr data and historical estimates to enhance forecasting fidelity. Added TJET integration updates and related modeling enhancements (including a 2D mandate variable in BHTC) to broaden scenario coverage. Addressed critical bugs to stabilize the codebase, including TJET biofuel fixes, paste-removal revert, and merge-message improvements.
June 2025
23 Commits • 9 Features
Jun 1, 2025June 2025 highlights for cpmodel/FTT_StandAlone: delivered a core refactor of emission and fuel calculations with centralized emission corrections for consistency, resulting in more accurate and maintainable modeling. Implemented performance improvements and code-path cleanup to achieve faster execution. Completed data management and naming cleanup to improve data quality and governance, including CSV-based handling for classification_titles and tidy masterfiles. Integrated updated FTT:Tr data and historical estimates to enhance forecasting fidelity. Added TJET integration updates and related modeling enhancements (including a 2D mandate variable in BHTC) to broaden scenario coverage. Addressed critical bugs to stabilize the codebase, including TJET biofuel fixes, paste-removal revert, and merge-message improvements.
May 2025
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for cpmodel/FTT_StandAlone focusing on the key features delivered, major bugs fixed, and overall impact. The month saw a mix of feature refinements, data/model maintenance, and targeted bug fixes that improved robustness, accuracy, and business value of the transport decision-support model.
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for cpmodel/FTT_StandAlone focusing on the key features delivered, major bugs fixed, and overall impact. The month saw a mix of feature refinements, data/model maintenance, and targeted bug fixes that improved robustness, accuracy, and business value of the transport decision-support model.
May 2025
April 2025
17 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for cpmodel/FTT_StandAlone. Focused on delivering robust performance enhancements, policy-aware modeling, and data integrity improvements to enable faster iteration and accurate scenario analysis for heat and power systems.
April 2025
17 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for cpmodel/FTT_StandAlone. Focused on delivering robust performance enhancements, policy-aware modeling, and data integrity improvements to enable faster iteration and accurate scenario analysis for heat and power systems.
October 2024
3 Commits • 1 Features
Oct 1, 2024Concise month summary for 2024-10 focusing on delivering business value through data quality improvements, user experience enhancements, and data inputs reliability for cpmodel/FTT_StandAlone. Key outcomes include precise UX messaging for missing CSV files, strict NaN data validation with explicit errors to aid debugging, and updated master data files to ensure input accuracy. Collectively, these work items reduce support time, minimize downstream errors, and support reliable analytics and decision-making.
3 Commits • 1 Features
Oct 1, 2024Concise month summary for 2024-10 focusing on delivering business value through data quality improvements, user experience enhancements, and data inputs reliability for cpmodel/FTT_StandAlone. Key outcomes include precise UX messaging for missing CSV files, strict NaN data validation with explicit errors to aid debugging, and updated master data files to ensure input accuracy. Collectively, these work items reduce support time, minimize downstream errors, and support reliable analytics and decision-making.
October 2024
Activity
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Quality Metrics
Correctness86.4%
Maintainability87.8%
Architecture81.0%
Performance81.6%
AI Usage25.2%
Skills & Technologies
Programming Languages
CSVExcelINIMarkdownNumPyNumbaPython
Technical Skills
Backend DevelopmentBenchmarkingBug FixingClimate Policy AnalysisCode CleanupCode CommentingCode DocumentationCode OptimizationCode OrganizationCode ReadabilityCode RefactoringCode SimplificationConfigurationConfiguration ManagementCost Analysis
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