
Rawad Hamze contributed to the RWTH-EBC/districtgenerator project by developing and refining core features for district-scale energy simulation. He enhanced occupancy and housing unit modeling using probabilistic methods, improved district heat load and electricity demand calculations, and expanded the system to support non-residential building types and comprehensive heating/cooling networks. Rawad addressed data quality by correcting weather station associations and clarified thermal envelope calculations for retrofit planning. His work relied on Python, Pandas, and NumPy, emphasizing robust data handling, simulation accuracy, and maintainable code. These contributions deepened the model’s realism and reliability for energy systems analysis and planning.

September 2025 monthly summary for RWTH-EBC/districtgenerator: Focused on correcting and clarifying thermal performance calculations for non-residential buildings, with emphasis on terraced houses. Delivered precise U-value computations and refined area allocations for outer walls and windows by building type. Updated data provenance and methodologies for U-values and g-values to improve transparency and auditability, strengthening the reliability of envelope modeling and retrofit planning.
September 2025 monthly summary for RWTH-EBC/districtgenerator: Focused on correcting and clarifying thermal performance calculations for non-residential buildings, with emphasis on terraced houses. Delivered precise U-value computations and refined area allocations for outer walls and windows by building type. Updated data provenance and methodologies for U-values and g-values to improve transparency and auditability, strengthening the reliability of envelope modeling and retrofit planning.
August 2025 Monthly Summary: Delivered feature-driven enhancements to districtgenerator, expanding building types, introducing a comprehensive heating/cooling network model, and advancing vehicle charging and residential heating logic. These changes improve realism, enable better energy planning, and provide clearer cost/sizing outputs for district-scale deployments. No explicit bug fixes logged this month; work focused on robust feature delivery, model fidelity, and extensibility.
August 2025 Monthly Summary: Delivered feature-driven enhancements to districtgenerator, expanding building types, introducing a comprehensive heating/cooling network model, and advancing vehicle charging and residential heating logic. These changes improve realism, enable better energy planning, and provide clearer cost/sizing outputs for district-scale deployments. No explicit bug fixes logged this month; work focused on robust feature delivery, model fidelity, and extensibility.
February 2025 monthly summary for RWTH-EBC/districtgenerator. The team delivered targeted stability and packaging improvements that strengthen deployment reliability and data ingestion quality, directly supporting production performance and long-term maintainability.
February 2025 monthly summary for RWTH-EBC/districtgenerator. The team delivered targeted stability and packaging improvements that strengthen deployment reliability and data ingestion quality, directly supporting production performance and long-term maintainability.
Summary for 2025-01: In RWTH-EBC/districtgenerator, delivered key features and bug fixes that drive business value and technical quality. Key features include occupancy and housing unit distribution modeling using probabilistic distributions and MFH flat count variability (commits dca29cc789bc52238b3ea0212b52dc589cd18baa; 1d5143c7ccb15b806dc09abdabe9eeb77e9c9f2f), and energy demand modeling enhancements with improved district heat load calculation, DHW seasonal profiles and residential electricity demand for renewable integration (commits fff1a09c97a604f156f7cd499cf9eace02030e85; 104f59f7299f929e31b64568d87df1b33fdb56c2; 088017ea94a3f7798aac72ff7b505ff447d7d632). A key data-quality bug fix corrected weather station names to ensure accurate weather data associations (commits 5112796714031e742d11f2bc4fae6b9239b3f46a; a1d174e6d4ec281c37df5bec9571d2728be80b5c). Impact: more accurate occupancy estimates, improved demand forecasts aligned with renewables targets, and cleaner data inputs.
Summary for 2025-01: In RWTH-EBC/districtgenerator, delivered key features and bug fixes that drive business value and technical quality. Key features include occupancy and housing unit distribution modeling using probabilistic distributions and MFH flat count variability (commits dca29cc789bc52238b3ea0212b52dc589cd18baa; 1d5143c7ccb15b806dc09abdabe9eeb77e9c9f2f), and energy demand modeling enhancements with improved district heat load calculation, DHW seasonal profiles and residential electricity demand for renewable integration (commits fff1a09c97a604f156f7cd499cf9eace02030e85; 104f59f7299f929e31b64568d87df1b33fdb56c2; 088017ea94a3f7798aac72ff7b505ff447d7d632). A key data-quality bug fix corrected weather station names to ensure accurate weather data associations (commits 5112796714031e742d11f2bc4fae6b9239b3f46a; a1d174e6d4ec281c37df5bec9571d2728be80b5c). Impact: more accurate occupancy estimates, improved demand forecasts aligned with renewables targets, and cleaner data inputs.
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