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benherry

PROFILE

Benherry

Benjamin Herry enhanced the os-climate/witness-energy and witness-core repositories by overhauling renewable investment modeling to align with IEA NZE scenario targets. He consolidated hydro, wind, and biogas calibration under a unified, target-driven framework, introducing BSpline interpolation and trust-constr optimization to improve scenario planning and investment accuracy. Using Python, Pandas, and NumPy, Benjamin refined data ingestion, updated production factors, and implemented per-run initialization for pre-year investments, resulting in smoother trend visualization and more reliable forecasts. He also strengthened code quality through linting and test infrastructure improvements, ensuring reproducibility and stability across complex energy systems modeling and data engineering workflows.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

31Total
Bugs
6
Commits
31
Features
6
Lines of code
2,169
Activity Months2

Work History

November 2024

24 Commits • 2 Features

Nov 1, 2024

November 2024 performance summary for os-climate repositories (witness-energy, witness-core). Delivered a comprehensive overhaul of the investment modeling framework across wind, hydro, anaerobic digestion, and other renewables, incorporating BSpline interpolation, trust-constr optimization, and increased discretization. Implemented per-run initialization to ensure invest_before_year_start is correctly updated and improved input handling. Achieved IEA NZE-aligned calibration for hydropower, wind, and anaerobic digestion with updated investments and initial parameters. Updated production data and refreshed Jacobian and pkl artifacts to maintain model accuracy. Strengthened code quality and test infrastructure with linting, test initializations, and test mode enhancements. Result: more accurate, transparent, and stable investment forecasts with improved reproducibility and faster iteration cycles.

October 2024

7 Commits • 4 Features

Oct 1, 2024

October 2024: Delivered NZE-aligned investment modeling enhancements across witness-energy and witness-core, consolidating hydro, wind, and biogas calibration under a single, target-driven framework and improving data handling, visualization, and reliability. Implemented pre-start biogas investment modeling, refined data ingestion, and updated production factors to better reflect IEA NZE scenario targets (2020-2050). Resolved a core loading bug and corrected hydropower reporting, improving accuracy and trust in results. The work strengthens scenario planning, enables more precise investment trade-offs, and enhances stakeholder-facing dashboards with smoother, more accurate trend visualization.

Activity

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Quality Metrics

Correctness84.2%
Maintainability85.8%
Architecture82.2%
Performance74.8%
AI Usage20.6%

Skills & Technologies

Programming Languages

CSVPythonSQL

Technical Skills

Backend DevelopmentBug FixingCSVCode LintingCode MaintenanceData AnalysisData ConfigurationData EngineeringData FittingData ManagementData UpdateData VisualizationDebuggingEnergy ModelingEnergy Systems Modeling

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

os-climate/witness-energy

Oct 2024 Nov 2024
2 Months active

Languages Used

PythonSQLCSV

Technical Skills

Bug FixingData AnalysisData EngineeringData VisualizationEnergy ModelingNumPy

os-climate/witness-core

Oct 2024 Nov 2024
2 Months active

Languages Used

CSVPython

Technical Skills

Data AnalysisData EngineeringEnergy ModelingPandasPythonScenario Modeling

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