NREL/ComStock
Jan 2025 – Apr 2025
4 Months active
Languages Used
EPWGitPythonRubyerbIDFERB
Technical Skills
Building Energy ModelingBuilding Energy SimulationEnergyPlusGit ConfigurationOpenStudioPython Plugin API
Eric Bonnema
PROFILE
Eric Bonnema
Eric Bonnema developed advanced energy modeling features for the NREL/ComStock repository over four months, focusing on enhancing simulation accuracy and reporting granularity. He implemented Python-based plugins and reporting measures to extract and process EnergyPlus outputs, enabling both zone-level and surface-level heat gain analytics. By introducing data mapping, time series analysis, and robust data handling—including the use of FixedSizeList for efficient time-series management—Eric improved the reliability and maintainability of simulation workflows. His work leveraged Python, Ruby, and EnergyPlus Plugin APIs to support detailed energy consumption analysis, laying a foundation for more precise building performance assessments and operational decision-making.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
6
Lines of code
179,938
Activity Months4
Your Network
66 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Radiant Heat Gain Calculations via Radiant Time Series (RTS) data in NREL/ComStock. Refactored LoadSummary to accommodate new RTS output variables and introduced FixedSizeList to efficiently manage time-series data, enabling more accurate energy modeling and robust simulations.
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Radiant Heat Gain Calculations via Radiant Time Series (RTS) data in NREL/ComStock. Refactored LoadSummary to accommodate new RTS output variables and introduced FixedSizeList to efficiently manage time-series data, enabling more accurate energy modeling and robust simulations.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly Summary for 2025-03: Delivered a key feature for NREL/ComStock by enabling Load Summary Surface-Level Heat Gain Reporting, allowing heat gain reporting at the building surface level by processing Surface Inside Face Convection Heat Gain Energy in addition to the existing zone-level aggregation. This enhancement improves granularity for energy analysis and supports more targeted energy optimization across projects.
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly Summary for 2025-03: Delivered a key feature for NREL/ComStock by enabling Load Summary Surface-Level Heat Gain Reporting, allowing heat gain reporting at the building surface level by processing Surface Inside Face Convection Heat Gain Energy in addition to the existing zone-level aggregation. This enhancement improves granularity for energy analysis and supports more targeted energy optimization across projects.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for NREL/ComStock feature work focused on enhancing energy data modeling and zone-based energy load reporting. Key features delivered include consolidating energy data handling in the EnergyPlus plugin by mapping EnergyPlus output variables to Python variables with expanded definitions and operating modes (heating, cooling, floating) to enable greater data granularity. Also added processing for zone-level load data through a zone-name dictionary, mode-specific value lists, and global aggregates to support granular energy consumption analysis and reporting across zones. Major impact: Enables zone-level energy analytics and more accurate consumption reporting, improving decision support for energy management and downstream dashboards. This work lays the foundation for precise cost allocation and opportunity identification across building zones. Technologies/skills demonstrated: EnergyPlus plugin integration, Python-based data modeling, zone-level data processing, dictionary-driven mappings, and aggregation logic, with a focus on maintainability and traceability. Business value: Higher-fidelity energy data enables targeted operational improvements, better reporting for stakeholders, and data-driven opportunities for energy savings. Commit references: - fa585f1a4ec013c877449821bbc9f92c9580c1f8: assign out vars to py var, add full list of py vars, add py vars by mode - 6b1c1dde892493d3fe8a6d1e258357f184c10329: add zone name dict, add lists by py var and op mode, sum to make globals
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for NREL/ComStock feature work focused on enhancing energy data modeling and zone-based energy load reporting. Key features delivered include consolidating energy data handling in the EnergyPlus plugin by mapping EnergyPlus output variables to Python variables with expanded definitions and operating modes (heating, cooling, floating) to enable greater data granularity. Also added processing for zone-level load data through a zone-name dictionary, mode-specific value lists, and global aggregates to support granular energy consumption analysis and reporting across zones. Major impact: Enables zone-level energy analytics and more accurate consumption reporting, improving decision support for energy management and downstream dashboards. This work lays the foundation for precise cost allocation and opportunity identification across building zones. Technologies/skills demonstrated: EnergyPlus plugin integration, Python-based data modeling, zone-level data processing, dictionary-driven mappings, and aggregation logic, with a focus on maintainability and traceability. Business value: Higher-fidelity energy data enables targeted operational improvements, better reporting for stakeholders, and data-driven opportunities for energy savings. Commit references: - fa585f1a4ec013c877449821bbc9f92c9580c1f8: assign out vars to py var, add full list of py vars, add py vars by mode - 6b1c1dde892493d3fe8a6d1e258357f184c10329: add zone name dict, add lists by py var and op mode, sum to make globals
February 2025
January 2025
13 Commits • 3 Features
Jan 1, 2025January 2025 — NREL/ComStock: Delivered core feature enhancements for OpenStudio reporting, expanded test data provisioning, and hygiene improvements to enhance reliability, maintainability, and business value of energy simulations.
January 2025
13 Commits • 3 Features
Jan 1, 2025January 2025 — NREL/ComStock: Delivered core feature enhancements for OpenStudio reporting, expanded test data provisioning, and hygiene improvements to enhance reliability, maintainability, and business value of energy simulations.
Activity
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Quality Metrics
Correctness91.8%
Maintainability91.8%
Architecture91.8%
Performance84.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
EPWERBGitIDFPythonRubyerb
Technical Skills
Building Energy ModelingBuilding Energy SimulationBuilding Performance SimulationData HandlingData MappingData ProcessingEnergyPlusEnergyPlus Plugin DevelopmentGit ConfigurationOpenStudioPython Plugin APIPython Plugin DevelopmentPython ScriptingReporting MeasuresRuby Scripting
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