huciupaul/SHTARWaRS
May 2025 – May 2025
1 Month active
Languages Used
PythonShellYAML
Technical Skills
CanteraChemical KineticsCombustion ModelingCombustion SimulationComputational Fluid DynamicsData Visualization
alvarovalde
PROFILE
Alvarovalde
Developed advanced emissions modeling and burner simulation features for the huciupaul/SHTARWaRS repository, focusing on mechanism-driven NOx-reduction and transport accuracy. Leveraged Python and Cantera to integrate a custom SanDiego.yaml kinetics mechanism, enabling both mixture-averaged and multicomponent transport models within combustion simulations. Built a reusable workflow for burner-flame analysis, including utilities for gas mixing and mechanism referencing, and implemented end-to-end simulation infrastructure to support maintainability and future extension. Enhanced the emissions framework with RQL integration and two-stage combustion, allowing more accurate NOx predictions and scenario analysis. Emphasized technical excellence, business value, and maintainable software engineering throughout the development process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
5,254
Activity Months1
Your Network
9 peopleShared Repositories
9
Adam MoecMember
aitorbilbaoMember
huciupaulMember
ihendrickxMember
mateialbu5Member
mmurciaMember
samdbvuMember
sbcoxMember
sksiezakMember
Work History
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary focused on delivering feature-rich mechanism-driven emissions modeling and burner simulations within huciupaul/SHTARWaRS. The work advances NOx-reduction modeling and transport accuracy, establishing a reusable Cantera-based burner-flame workflow and related utilities for gas mixing and emissions references. Highlights include end-to-end integration of a custom kinetics mechanism and a Cantera-based burner simulation setup, with emphasis on business value, maintainability, and technical excellence.
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary focused on delivering feature-rich mechanism-driven emissions modeling and burner simulations within huciupaul/SHTARWaRS. The work advances NOx-reduction modeling and transport accuracy, establishing a reusable Cantera-based burner-flame workflow and related utilities for gas mixing and emissions references. Highlights include end-to-end integration of a custom kinetics mechanism and a Cantera-based burner simulation setup, with emphasis on business value, maintainability, and technical excellence.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellYAML
Technical Skills
CanteraChemical KineticsCombustion ModelingCombustion SimulationComputational Fluid DynamicsData VisualizationNumerical SimulationPythonSoftware Engineering
Repositories Contributed To
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