
Over 15 months, Fabien Lecampion engineered robust enhancements to the remindmodel/remind and pik-piam/mrremind repositories, focusing on energy system modeling, scenario calibration, and data integration. He consolidated technology data, standardized wind and hydropower capacity calculations, and improved scenario export workflows using R, GAMS, and Python. His work included refactoring cost modeling logic, automating calibration processes, and strengthening error handling to ensure model reliability. By integrating diverse data sources and refining configuration management, Fabien enabled more accurate forecasting and streamlined reporting. The depth of his contributions is reflected in improved maintainability, reproducibility, and alignment with evolving business and research requirements.
March 2026 monthly summary for remind: Delivered robust calibration/config handling to improve reproducibility of local calibration runs by automatically propagating calibration_results paths and ensuring all concurrent runs use the correct cfg. Introduced macro_interpolate for advanced templating. Executed a major NetZero refactor with cross-module enhancements, including Grassi shift integration, documentation updates, and target-definition alignment. Consolidated data inputs by centralizing target definitions in datainput and standardized emission measurements across targets and references. Implemented an NGFS climate change workflow for cc mode, later reverted to maintain consistency with existing behavior. Addressed stability and data quality with targeted bug fixes and config/tests maintenance, including quotes/spelling corrections, macro_average removal, and BAU/offset adjustments.
March 2026 monthly summary for remind: Delivered robust calibration/config handling to improve reproducibility of local calibration runs by automatically propagating calibration_results paths and ensuring all concurrent runs use the correct cfg. Introduced macro_interpolate for advanced templating. Executed a major NetZero refactor with cross-module enhancements, including Grassi shift integration, documentation updates, and target-definition alignment. Consolidated data inputs by centralizing target definitions in datainput and standardized emission measurements across targets and references. Implemented an NGFS climate change workflow for cc mode, later reverted to maintain consistency with existing behavior. Addressed stability and data quality with targeted bug fixes and config/tests maintenance, including quotes/spelling corrections, macro_average removal, and BAU/offset adjustments.
February 2026 performance summary: Delivered cross-repo improvements including IIASA-aligned CSV mapping, plot clarity fixes, packaging metadata updates, GDX calibration automation, NGFS configuration refinements, and enhanced CES calibration tutorial. These changes deliver business value by enabling extended reporting, reducing manual steps, improving configuration clarity, and strengthening data visualization reliability.
February 2026 performance summary: Delivered cross-repo improvements including IIASA-aligned CSV mapping, plot clarity fixes, packaging metadata updates, GDX calibration automation, NGFS configuration refinements, and enhanced CES calibration tutorial. These changes deliver business value by enabling extended reporting, reducing manual steps, improving configuration clarity, and strengthening data visualization reliability.
January 2026 monthly summary for remind and piamInterfaces focusing on delivering expanded export capabilities, improved error handling, and enhanced data modeling. Key productivity came from cross-repo work on remind (config and export enhancements, error messaging, and calculation fixes) and pi-piam interfaces (per-capita energy details). The work aligns with business objectives to broaden scenario support, improve user guidance, and provide richer data for downstream analytics.
January 2026 monthly summary for remind and piamInterfaces focusing on delivering expanded export capabilities, improved error handling, and enhanced data modeling. Key productivity came from cross-repo work on remind (config and export enhancements, error messaging, and calculation fixes) and pi-piam interfaces (per-capita energy details). The work aligns with business objectives to broaden scenario support, improve user guidance, and provide richer data for downstream analytics.
Monthly summary for 2025-12: Focused on stabilizing the economic scenario engine in remindmodel/remind. Reverted the f29_capitalQuantity parameter from demScen to GDPpopScen to restore GDP-population based scenarios and correct model behavior. This change preserves business-critical forecasting assumptions and aligns outputs with downstream analytics. Key outcomes include a revert commit and validated corrected behavior across core scenarios, improving reliability for decision-making.
Monthly summary for 2025-12: Focused on stabilizing the economic scenario engine in remindmodel/remind. Reverted the f29_capitalQuantity parameter from demScen to GDPpopScen to restore GDP-population based scenarios and correct model behavior. This change preserves business-critical forecasting assumptions and aligns outputs with downstream analytics. Key outcomes include a revert commit and validated corrected behavior across core scenarios, improving reliability for decision-making.
2025-11 monthly summary: Delivered CS2 profile enhancements to improve future-year readiness and maintainability in the remindmodel/remind repository. Key work focused on renaming profile keys and dynamically aligning historical year sequences to include the current year, enabling profiles to stay valid across year transitions without manual updates. Result is a clearer configuration surface, reduced risk of year-related regressions, and a foundation for future year-based features.
2025-11 monthly summary: Delivered CS2 profile enhancements to improve future-year readiness and maintainability in the remindmodel/remind repository. Key work focused on renaming profile keys and dynamically aligning historical year sequences to include the current year, enabling profiles to stay valid across year transitions without manual updates. Result is a clearer configuration surface, reduced risk of year-related regressions, and a foundation for future year-based features.
September 2025: In the remind model, completed a critical bug fix in the bioenergy cost modeling to prevent unintended fossil fuel extraction. By correcting the declaration of v_costFu and its interaction with vm_costFuBio, the model now properly reflects bioenergy production costs and avoids compensating for negative terms that could incentivize fossil extraction. This improves economic correctness, reduces risk of biased outcomes, and enhances reliability for scenario analyses and policy decisions.
September 2025: In the remind model, completed a critical bug fix in the bioenergy cost modeling to prevent unintended fossil fuel extraction. By correcting the declaration of v_costFu and its interaction with vm_costFuBio, the model now properly reflects bioenergy production costs and avoids compensating for negative terms that could incentivize fossil extraction. This improves economic correctness, reduces risk of biased outcomes, and enhances reliability for scenario analyses and policy decisions.
Monthly summary for 2025-08 (remindmodel/remind): Delivered Energy Bounds and Capacity Modeling Enhancements across Renewables, Hydrogen, and Emissions. Implemented updated EJ-to-TWh conversion for accurate bounds, refactored technology exclusions via a helper, reorganized the bounds data structure, and refreshed bounds with IEA-derived values across multiple scenarios. Included code-quality improvements and integration of peer review to ensure maintainability and correctness.
Monthly summary for 2025-08 (remindmodel/remind): Delivered Energy Bounds and Capacity Modeling Enhancements across Renewables, Hydrogen, and Emissions. Implemented updated EJ-to-TWh conversion for accurate bounds, refactored technology exclusions via a helper, reorganized the bounds data structure, and refreshed bounds with IEA-derived values across multiple scenarios. Included code-quality improvements and integration of peer review to ensure maintainability and correctness.
July 2025 monthly summary for remindmodel/remind. Delivered two key features addressing bounds and scenario refinements in hydrogen capacity forecasting and GAMS/SSP modeling. Extended hydrogen capacity projection bounds to include 2030 and adjusted the lower bound for learning technologies investment costs to sharpen forecast accuracy for hydrogen production capacities. Implemented comprehensive GAMS bounds and SSP refinements across core bounds files and SSP scenarios, including a linear phaseout for SSP3 biotr, removal of a redundant biotr conditional, syntax/style adjustments, early retirement timeframe tweaks, production limits adjustments for multiple technologies, and CCS bounds adjustments to improve modeling accuracy and consistency. These changes enhance forecast accuracy, model reliability, and maintainability, enabling more informed policy and investment decisions.
July 2025 monthly summary for remindmodel/remind. Delivered two key features addressing bounds and scenario refinements in hydrogen capacity forecasting and GAMS/SSP modeling. Extended hydrogen capacity projection bounds to include 2030 and adjusted the lower bound for learning technologies investment costs to sharpen forecast accuracy for hydrogen production capacities. Implemented comprehensive GAMS bounds and SSP refinements across core bounds files and SSP scenarios, including a linear phaseout for SSP3 biotr, removal of a redundant biotr conditional, syntax/style adjustments, early retirement timeframe tweaks, production limits adjustments for multiple technologies, and CCS bounds adjustments to improve modeling accuracy and consistency. These changes enhance forecast accuracy, model reliability, and maintainability, enabling more informed policy and investment decisions.
Concise monthly summary for 2025-06 focusing on key accomplishments and business impact for the pik-piam/mrremind project.
Concise monthly summary for 2025-06 focusing on key accomplishments and business impact for the pik-piam/mrremind project.
Summary for 2025-05: Delivered a focused bug fix in remindmodel/remind to stabilize calibration by delaying NPi2018 hydro bound activation from after 2020 to >=2030. This prevents calibration issues and reduces future maintenance risk, aligning with long-horizon calibration planning. Key commit: 229fafd078f5754fb9bc9e506b23c3b9430c5b34.
Summary for 2025-05: Delivered a focused bug fix in remindmodel/remind to stabilize calibration by delaying NPi2018 hydro bound activation from after 2020 to >=2030. This prevents calibration issues and reduces future maintenance risk, aligning with long-horizon calibration planning. Key commit: 229fafd078f5754fb9bc9e506b23c3b9430c5b34.
Concise monthly summary for 2025-04 focused on delivering business value, stability, and cross-repo improvements across pik-piam/mrremind and pik-piam/piamInterfaces. Key features delivered: - Renewable capacity projection enhancements and data integration (mrremind): integrated GEM, IRENA, and other data sources with updated mappings to align capacity projections with the 2023 reference year, and implemented 5-year average input for IRENA data to stabilize projections for 2025. Updated capacity calculations and data flows to address 2025 projections while preserving Remind-style averaging. Code refactoring for readability and consistency, including geohdr migration from remind to mrremind and moving 2015 -> 2020 references. - Release management and documentation updates (mrremind): updated package versioning, release date, and authors across project files to support a new release and improve traceability. Major bugs fixed: - Data path bug (REMIND input): fixed hard-coded filename in readREMIND_11Regi.R to read p_adj_deltacapoffset_REMIND3.4.0.csv, ensuring correct data ingestion for REMIND inputs. - Data accuracy corrections (piamInterfaces): corrected Oil inclusion in capacity calculations and typos in capacity data; refined data mappings and reported bunkers subcategories for more granular tracking. - Maintenance and test robustness (piamInterfaces): hardening of release metadata handling and test checkSummations to support repeated variables and multiple summation definitions. Overall impact and accomplishments: - Improved data reliability, source-of-truth alignment, and end-to-end data integrity across modeling inputs, projections, and reporting. Enhanced traceability from commits to released artifacts, enabling faster validation and fewer regressions in production. - Strengthened data governance through consistent mappings, clearer categorization, and robust tests, reducing misreporting risk and enabling more accurate business insights for capacity planning and emissions targets. Technologies/skills demonstrated: - Data integration and cross-source consolidation (GEM, IRENA) within REMIND-based workflows; 2023 reference year alignment and 2025 projection handling. - Data quality, mapping, and reporting excellence (oil categorization, bunkers tracking, non-energy-use cleanup). - Release engineering, versioning discipline, and documentation governance. - Code readability and maintainability improvements (lint fixes, style homogenization, removal of obsolete mappings/files).
Concise monthly summary for 2025-04 focused on delivering business value, stability, and cross-repo improvements across pik-piam/mrremind and pik-piam/piamInterfaces. Key features delivered: - Renewable capacity projection enhancements and data integration (mrremind): integrated GEM, IRENA, and other data sources with updated mappings to align capacity projections with the 2023 reference year, and implemented 5-year average input for IRENA data to stabilize projections for 2025. Updated capacity calculations and data flows to address 2025 projections while preserving Remind-style averaging. Code refactoring for readability and consistency, including geohdr migration from remind to mrremind and moving 2015 -> 2020 references. - Release management and documentation updates (mrremind): updated package versioning, release date, and authors across project files to support a new release and improve traceability. Major bugs fixed: - Data path bug (REMIND input): fixed hard-coded filename in readREMIND_11Regi.R to read p_adj_deltacapoffset_REMIND3.4.0.csv, ensuring correct data ingestion for REMIND inputs. - Data accuracy corrections (piamInterfaces): corrected Oil inclusion in capacity calculations and typos in capacity data; refined data mappings and reported bunkers subcategories for more granular tracking. - Maintenance and test robustness (piamInterfaces): hardening of release metadata handling and test checkSummations to support repeated variables and multiple summation definitions. Overall impact and accomplishments: - Improved data reliability, source-of-truth alignment, and end-to-end data integrity across modeling inputs, projections, and reporting. Enhanced traceability from commits to released artifacts, enabling faster validation and fewer regressions in production. - Strengthened data governance through consistent mappings, clearer categorization, and robust tests, reducing misreporting risk and enabling more accurate business insights for capacity planning and emissions targets. Technologies/skills demonstrated: - Data integration and cross-source consolidation (GEM, IRENA) within REMIND-based workflows; 2023 reference year alignment and 2025 projection handling. - Data quality, mapping, and reporting excellence (oil categorization, bunkers tracking, non-energy-use cleanup). - Release engineering, versioning discipline, and documentation governance. - Code readability and maintainability improvements (lint fixes, style homogenization, removal of obsolete mappings/files).
Summary for 2025-03 focused on delivering robust data handling, standardized modeling, and release readiness across the mrremind project. Key features delivered, major fixes, and their business impact are described below with traceability to commits. Key features delivered: - REN21/IRENA Data Handling Improvements and Fixes: Enhanced integration of REN21 data with new sources; improved data reading, formatting, and robustness. Commits include: revert refactoring of REN21 (1860c1c), reverting REN21 (a72e24a), REN21 (58f0ee35), revert IRENA update to test wind refactoring (e91f1fb7), and fixes for readIRENA global binding issues (27ae59d0, 442dd347). - Capacity Calculation and Capacity Factor Improvements: Refactored capacity calculations, standardized data sources/mappings, and improved CapacityFactorHist and data binding robustness. Commits include: renaming/cleaning (30270230), testing CapacityFactorHist (f04a0bb4), and fixes for global binding issues (27452809). - Wind Investment Cost Modeling Improvements: Differentiates onshore and offshore wind investment costs; refines technology naming and offshore wind capacity factors. Commit includes: investment costs use windon/windoff (f842a65c). - Release Version Bump 0.221.1.9001: Update version and release date across project files to reflect a new development build. Commit: build dev (a866caf1). Major bugs fixed: - Maintenance: Remove merge conflict markers to fix syntax error in an R script. Commit: fix syntax bug after merging conflict (f703a1f0). Overall impact and accomplishments: - Improved data integrity and robustness for REN21/IRENA integration, enabling more reliable data pipelines and downstream analytics. - Standardized capacity and factor calculations, reducing modeling drift and enabling more accurate capacity planning. - Clear separation of onshore/offshore cost modeling improving investment decision support and clarity in reporting. - Build readiness and release discipline demonstrated by a formal version bump, supporting faster deployment cycles. Technologies/skills demonstrated: - R scripting and data pipeline stabilization (readIRENA fixes, global binding remedies). - Data source integration and mapping standardization. - Refactoring discipline with attention to testability and maintainability. - Versioning and release automation practices.
Summary for 2025-03 focused on delivering robust data handling, standardized modeling, and release readiness across the mrremind project. Key features delivered, major fixes, and their business impact are described below with traceability to commits. Key features delivered: - REN21/IRENA Data Handling Improvements and Fixes: Enhanced integration of REN21 data with new sources; improved data reading, formatting, and robustness. Commits include: revert refactoring of REN21 (1860c1c), reverting REN21 (a72e24a), REN21 (58f0ee35), revert IRENA update to test wind refactoring (e91f1fb7), and fixes for readIRENA global binding issues (27ae59d0, 442dd347). - Capacity Calculation and Capacity Factor Improvements: Refactored capacity calculations, standardized data sources/mappings, and improved CapacityFactorHist and data binding robustness. Commits include: renaming/cleaning (30270230), testing CapacityFactorHist (f04a0bb4), and fixes for global binding issues (27452809). - Wind Investment Cost Modeling Improvements: Differentiates onshore and offshore wind investment costs; refines technology naming and offshore wind capacity factors. Commit includes: investment costs use windon/windoff (f842a65c). - Release Version Bump 0.221.1.9001: Update version and release date across project files to reflect a new development build. Commit: build dev (a866caf1). Major bugs fixed: - Maintenance: Remove merge conflict markers to fix syntax error in an R script. Commit: fix syntax bug after merging conflict (f703a1f0). Overall impact and accomplishments: - Improved data integrity and robustness for REN21/IRENA integration, enabling more reliable data pipelines and downstream analytics. - Standardized capacity and factor calculations, reducing modeling drift and enabling more accurate capacity planning. - Clear separation of onshore/offshore cost modeling improving investment decision support and clarity in reporting. - Build readiness and release discipline demonstrated by a formal version bump, supporting faster deployment cycles. Technologies/skills demonstrated: - R scripting and data pipeline stabilization (readIRENA fixes, global binding remedies). - Data source integration and mapping standardization. - Refactoring discipline with attention to testability and maintainability. - Versioning and release automation practices.
February 2025 monthly summary for remind: Delivered centralized technology data consolidation, added blue hydrogen reference, and aligned SSP investment costs across scenarios. Implemented global technology assumptions, improved test coverage, and removed outdated data to reduce confusion. Documentation improvements increased model clarity, enabling faster onboarding and governance. These efforts improve data integrity, scenario accuracy, and business readiness for CSP-aligned investments.
February 2025 monthly summary for remind: Delivered centralized technology data consolidation, added blue hydrogen reference, and aligned SSP investment costs across scenarios. Implemented global technology assumptions, improved test coverage, and removed outdated data to reduce confusion. Documentation improvements increased model clarity, enabling faster onboarding and governance. These efforts improve data integrity, scenario accuracy, and business readiness for CSP-aligned investments.
January 2025 monthly summary for pik-piam/mrremind. Focused on standardizing wind energy data inputs and improving wind potential calculations to support more reliable cross-source analysis and planning. Key changes include refactoring wind data handling to standardize processing and mapping across sources (IRENA, Openmod, WEO, Ember), covering onshore and offshore capacities and their factors, and updating the capacity-factor and potential calculations for consistency. This work enhances data integrity, enables better scenario analysis, and reduces ad-hoc data handling risk.
January 2025 monthly summary for pik-piam/mrremind. Focused on standardizing wind energy data inputs and improving wind potential calculations to support more reliable cross-source analysis and planning. Key changes include refactoring wind data handling to standardize processing and mapping across sources (IRENA, Openmod, WEO, Ember), covering onshore and offshore capacities and their factors, and updating the capacity-factor and potential calculations for consistency. This work enhances data integrity, enables better scenario analysis, and reduces ad-hoc data handling risk.
December 2024: Delivered foundational data mapping enhancements and quality fixes for the piamInterfaces suite, enabling finer energy investment and transportation energy scenario granularity, plus a release-ready metadata update. Implemented a critical encoding fix to ensure unit integrity and prevent downstream parsing issues.
December 2024: Delivered foundational data mapping enhancements and quality fixes for the piamInterfaces suite, enabling finer energy investment and transportation energy scenario granularity, plus a release-ready metadata update. Implemented a critical encoding fix to ensure unit integrity and prevent downstream parsing issues.

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