EPA_ALPHA_Model
Evaluate the Greenhouse Gas emissions of Light-Duty vehicles.
https://github.com/USEPA/EPA_ALPHA_Model
Category: Emissions
Sub Category: Emission Observation and Modeling
Keywords
oar
Last synced: about 9 hours ago
JSON representation
Repository metadata
Model to evaluate emissions of cars
- Host: GitHub
- URL: https://github.com/USEPA/EPA_ALPHA_Model
- Owner: USEPA
- Created: 2019-09-19T15:40:36.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-07-11T14:11:20.000Z (almost 2 years ago)
- Last Synced: 2024-10-29T19:58:06.287Z (6 months ago)
- Topics: oar
- Language: Python
- Homepage:
- Size: 55.5 MB
- Stars: 8
- Watchers: 8
- Forks: 0
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.rst
README.rst
EPA_ALPHA_Model =============== The Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) tool was created by EPA to evaluate the Greenhouse Gas (GHG) emissions of Light-Duty (LD) vehicles. ALPHA is a physics-based, forward-looking, full vehicle computer simulation capable of analyzing various vehicle types combined with different powertrain technologies. The software tool is a MATLAB/Simulink based application. EPA has developed the ALPHA model to enable the simulation of current and future vehicles, and as a tool for understanding vehicle behavior, greenhouse gas emissions and the effectiveness of various powertrain technologies. For GHG, ALPHA calculates CO2 emissions based on test fuel properties and vehicle fuel consumption. No other emissions are calculated at the present time but future work on other emissions is not precluded. EPA engineers utilize ALPHA as an in-house research tool to explore in detail current and future advanced vehicle technologies. ALPHA is continually refined and updated to more accurately model light-duty vehicle behavior and to include new technologies. ALPHA (and EPA's Heavy-Duty compliance model, GEM) are built on a common platform known as "REVS" - Regulated Emissions Vehicle Simulation. REVS forms the foundation of ALPHA. This document refers to the third revision of REVS, known as REVS3. ALPHA can be considered a tool as well as a modeling process, the components of which are defined in REVS. For more information, visit: https://www.epa.gov/regulations-emissions-vehicles-and-engines/advanced-light-duty-powertrain-and-hybrid-analysis-alpha This repository is the public home of the ALPHA documentation source code. Documentation ^^^^^^^^^^^^^ The published documentation homepage is https://epa-alpha-model.readthedocs.io/en/latest/ The latest .pdf docs are available at https://epa-alpha-model.readthedocs.io/_/downloads/en/latest/pdf/
Owner metadata
- Name: U.S. Environmental Protection Agency
- Login: USEPA
- Email:
- Kind: organization
- Description:
- Website: https://www.epa.gov
- Location: United States of America
- Twitter: EPA
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1304320?v=4
- Repositories: 449
- Last ynced at: 2024-04-14T19:47:37.473Z
- Profile URL: https://github.com/USEPA
GitHub Events
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- Fork event: 1
Last Year
- Fork event: 1
Committers metadata
Last synced: 7 days ago
Total Commits: 354
Total Committers: 8
Avg Commits per committer: 44.25
Development Distribution Score (DDS): 0.308
Commits in past year: 82
Committers in past year: 3
Avg Commits per committer in past year: 27.333
Development Distribution Score (DDS) in past year: 0.476
Name | Commits | |
---|---|---|
kevinanewman | n****n@e****v | 245 |
Jeff Cherry | c****f@e****v | 73 |
Kevin Newman | 4****n | 17 |
KButters | 5****s | 6 |
Jeff Cherry | j****d@y****m | 4 |
KButters | b****a@e****v | 4 |
P DeKraker | d****l@e****v | 4 |
rwashing523 | w****e@e****v | 1 |
Committer domains:
- epa.gov: 5
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 1
Total pull requests: 0
Average time to close issues: 1 minute
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- jeffwired (1)
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Dependencies
- Pillow *
- future *
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- scikit-learn *
- scipy *
- sphinx-rtd-theme >=1.0.0,<=2.0.0
- sphinxcontrib-matlabdomain *
- xlsxwriter *
Score: 4.1588830833596715