
Kyra de Haan developed and maintained advanced energy system modeling features for the quintel/etsource and quintel/etlocal repositories, focusing on backend data engineering and process simulation. She expanded Sankey analytics, integrated new carriers like naphtha and biofuels, and refined hydrogen and CCS modeling to improve scenario accuracy and reporting reliability. Using Ruby, GraphQL, and YAML, Kyra implemented robust data migrations, optimized queries, and restructured datasets for better maintainability and traceability. Her work addressed complex configuration and data curation challenges, resulting in more granular, reliable outputs for policy analysis and ESG reporting, while ensuring the codebase remained organized and testable.

Month: 2025-10. In Oct 2025, the team delivered substantial improvements across Sankey analytics, data availability, and MT processing, while stabilizing core data flows with targeted fixes. Key outcomes include expanded Sankey data flow and query capabilities (covering pyrolysis, fractionation, torrefaction), broader data export readiness and re-export of European datasets and NL2023 updates, and MT processing improvements through a restructure of MT spec and per-node query updates. Additionally, critical fixes were applied to the rebase workflow and emissions/gasification modeling, and inputs for HVO biodiesel and HVO biokerosene were refined. These changes collectively increase modeling accuracy, reporting reliability, and data availability for downstream decision-making and ESG/reporting.
Month: 2025-10. In Oct 2025, the team delivered substantial improvements across Sankey analytics, data availability, and MT processing, while stabilizing core data flows with targeted fixes. Key outcomes include expanded Sankey data flow and query capabilities (covering pyrolysis, fractionation, torrefaction), broader data export readiness and re-export of European datasets and NL2023 updates, and MT processing improvements through a restructure of MT spec and per-node query updates. Additionally, critical fixes were applied to the rebase workflow and emissions/gasification modeling, and inputs for HVO biodiesel and HVO biokerosene were refined. These changes collectively increase modeling accuracy, reporting reliability, and data availability for downstream decision-making and ESG/reporting.
September 2025 delivered targeted feature releases and bug fixes for quintel/etsource, improving graph visualization, CO2 accounting, and ETS alignment, while strengthening Sankey reporting and data integrity. Major items include CCUS node layout updates, CCS parameter refinements, broad-based ETS participation enablement, and enhanced pyrolysis/biomass Sankey queries. The work delivers more accurate emissions/cost calculations, better scenario insights for CCS investments, and a cleaner, more maintainable codebase.
September 2025 delivered targeted feature releases and bug fixes for quintel/etsource, improving graph visualization, CO2 accounting, and ETS alignment, while strengthening Sankey reporting and data integrity. Major items include CCUS node layout updates, CCS parameter refinements, broad-based ETS participation enablement, and enhanced pyrolysis/biomass Sankey queries. The work delivers more accurate emissions/cost calculations, better scenario insights for CCS investments, and a cleaner, more maintainable codebase.
2025-08 Monthly Summary for quintel/etsource. Focused on expanding dataset coverage for biofuels, refining graph topology and curves for more accurate energy-system modeling, and improving data integrity to speed up scenario analysis and decision-making for business value. Key features delivered: - Naphtha integration into nl2023 carriers and carrier-wide updates to reflect naphtha changes. - Topology and curve refinements across major model components (buildings_cooling, industry_ict), node/edge renaming, and remodels of waste-mix edges and dataset inputs to improve consistency and accuracy. - Biofuel asset expansion and dataset improvements (carrier .ad files, biomethanol and bionaphtha in dataset carrier.csv, bio_kerosene imports/exports, and updates aligning biodiesel naming with HVO terminology). - New routes and data updates including methanol synthesis non-biogenic waste route, pyrolysis oil updates, and kerosene mixer integration, plus FT modeling improvements and production inputs updates. Major bugs fixed: - Undo changes in RS_Serbia within the waste-mix graph data updates. - Rebasing error fix during batch integration. - Methanol edge bug fix (omitting unnecessary parent_share and updating CCS investment costs). Overall impact and accomplishments: - Significantly improved model fidelity, data integrity, and maintainability, enabling more reliable scenario analysis and faster decision-making. - Expanded carrier and route coverage for biofuels, enabling more realistic energy-pathway exploration and policy alignment. - Streamlined data structures and naming conventions to reduce future churn and accelerate onboarding of new routes and datasets. Technologies/skills demonstrated: - Advanced graph-based modeling and dataset curation with robust versioning. - Domain-specific optimization of energy pathways (naphtha, biofuels, FT, methanol) and data modeling for scenario analysis. - Cross-team collaboration, large-scale refactoring, and emphasis on testable, maintainable data pipelines.
2025-08 Monthly Summary for quintel/etsource. Focused on expanding dataset coverage for biofuels, refining graph topology and curves for more accurate energy-system modeling, and improving data integrity to speed up scenario analysis and decision-making for business value. Key features delivered: - Naphtha integration into nl2023 carriers and carrier-wide updates to reflect naphtha changes. - Topology and curve refinements across major model components (buildings_cooling, industry_ict), node/edge renaming, and remodels of waste-mix edges and dataset inputs to improve consistency and accuracy. - Biofuel asset expansion and dataset improvements (carrier .ad files, biomethanol and bionaphtha in dataset carrier.csv, bio_kerosene imports/exports, and updates aligning biodiesel naming with HVO terminology). - New routes and data updates including methanol synthesis non-biogenic waste route, pyrolysis oil updates, and kerosene mixer integration, plus FT modeling improvements and production inputs updates. Major bugs fixed: - Undo changes in RS_Serbia within the waste-mix graph data updates. - Rebasing error fix during batch integration. - Methanol edge bug fix (omitting unnecessary parent_share and updating CCS investment costs). Overall impact and accomplishments: - Significantly improved model fidelity, data integrity, and maintainability, enabling more reliable scenario analysis and faster decision-making. - Expanded carrier and route coverage for biofuels, enabling more realistic energy-pathway exploration and policy alignment. - Streamlined data structures and naming conventions to reduce future churn and accelerate onboarding of new routes and datasets. Technologies/skills demonstrated: - Advanced graph-based modeling and dataset curation with robust versioning. - Domain-specific optimization of energy pathways (naphtha, biofuels, FT, methanol) and data modeling for scenario analysis. - Cross-team collaboration, large-scale refactoring, and emphasis on testable, maintainable data pipelines.
July 2025 performance summary for quintel/etsource and quintel/etlocal. Delivered substantial data- and model-quality improvements across both repositories. Key features and data enrichments, along with targeted bug fixes, improved modeling fidelity, data governance, and maintainability. Business value is reflected in more accurate energy-system outputs, enhanced cross-dataset consistency, and reliable Sankey visualizations for decision-making.
July 2025 performance summary for quintel/etsource and quintel/etlocal. Delivered substantial data- and model-quality improvements across both repositories. Key features and data enrichments, along with targeted bug fixes, improved modeling fidelity, data governance, and maintainability. Business value is reflected in more accurate energy-system outputs, enhanced cross-dataset consistency, and reliable Sankey visualizations for decision-making.
April 2025: Focused on configuration data hygiene and test quality improvements in quintel/etsource, delivering a targeted cleanup and a test context fix to reduce misconfigurations and noise. These changes improve CI reliability, documentation clarity, and overall data integrity. Key outcomes include removal of obsolete country entries and a test context typo correction, backed by a single commit.
April 2025: Focused on configuration data hygiene and test quality improvements in quintel/etsource, delivering a targeted cleanup and a test context fix to reduce misconfigurations and noise. These changes improve CI reliability, documentation clarity, and overall data integrity. Key outcomes include removal of obsolete country entries and a test context typo correction, backed by a single commit.
February 2025 monthly summary for quintel/etsource focusing on hydrogen production modeling improvements and FLH alignment with solar PV.
February 2025 monthly summary for quintel/etsource focusing on hydrogen production modeling improvements and FLH alignment with solar PV.
January 2025 monthly summary for quintel/etsource: Implemented hydrogen energy data modeling and enhanced energy queries; reorganized GraphQL queries for Sankey, Mekko, and gas usage; removed an outdated data point to improve weather-based demand accuracy. These changes advance precision in energy mix simulations, hydrogen integration, and maintainability of the data layer, delivering tangible business value and developer productivity gains.
January 2025 monthly summary for quintel/etsource: Implemented hydrogen energy data modeling and enhanced energy queries; reorganized GraphQL queries for Sankey, Mekko, and gas usage; removed an outdated data point to improve weather-based demand accuracy. These changes advance precision in energy mix simulations, hydrogen integration, and maintainability of the data layer, delivering tangible business value and developer productivity gains.
December 2024: Delivered Mekko energy network data queries via GraphQL for gas and electricity networks with sector- and application-level breakdowns; performed dataset cleanup removing retired dataset folders to reduce confusion and maintenance overhead. These changes enhance Mekko chart visualization accuracy, data governance, and maintenance efficiency, enabling faster, scalable energy-system analytics. Technologies demonstrated include GraphQL API design, data modeling, and Git-based release hygiene.
December 2024: Delivered Mekko energy network data queries via GraphQL for gas and electricity networks with sector- and application-level breakdowns; performed dataset cleanup removing retired dataset folders to reduce confusion and maintenance overhead. These changes enhance Mekko chart visualization accuracy, data governance, and maintenance efficiency, enabling faster, scalable energy-system analytics. Technologies demonstrated include GraphQL API design, data modeling, and Git-based release hygiene.
In November 2024, delivered substantial data quality and modeling improvements across etlocal and etsource, focusing on EU stock-data readiness, data provenance clarity, and validation of heating-share analytics. Key features delivered include: EU Building Stock Dataset Enhancements (schema migrations and new fields for typical heat demand and residence-type shares; technologies migration to broaden dataset scope); Data Source Provenance Update (localization data source descriptions aligned to national energy balance data with removal of obsolete Eurostat link); and GraphQL testing for heater-share queries to harden downstream analytics. Major bug fixes included energy data accuracy corrections for stock and heat demand across EU datasets, and corrections to energy demand share values and Sweden graph values to ensure reliable visuals and percentages. QA efforts also encompassed GraphQL test additions and cleanups for household heater share queries. Overall impact: improved modeling accuracy, reliability for policy analysis, and stronger data governance; demonstrated expertise in migrations, data provenance, numerical validation, and GraphQL testing across multiple repositories.
In November 2024, delivered substantial data quality and modeling improvements across etlocal and etsource, focusing on EU stock-data readiness, data provenance clarity, and validation of heating-share analytics. Key features delivered include: EU Building Stock Dataset Enhancements (schema migrations and new fields for typical heat demand and residence-type shares; technologies migration to broaden dataset scope); Data Source Provenance Update (localization data source descriptions aligned to national energy balance data with removal of obsolete Eurostat link); and GraphQL testing for heater-share queries to harden downstream analytics. Major bug fixes included energy data accuracy corrections for stock and heat demand across EU datasets, and corrections to energy demand share values and Sweden graph values to ensure reliable visuals and percentages. QA efforts also encompassed GraphQL test additions and cleanups for household heater share queries. Overall impact: improved modeling accuracy, reliability for policy analysis, and stronger data governance; demonstrated expertise in migrations, data provenance, numerical validation, and GraphQL testing across multiple repositories.
Monthly summary for 2024-10 focusing on data quality and localization improvements in quintel/etlocal. No new features were released this month; primary work consisted of critical data accuracy fixes and localization stability improvements that directly enhance emissions reporting reliability and user experience across locales.
Monthly summary for 2024-10 focusing on data quality and localization improvements in quintel/etlocal. No new features were released this month; primary work consisted of critical data accuracy fixes and localization stability improvements that directly enhance emissions reporting reliability and user experience across locales.
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