pem-dataset1
Proton Exchange Membrane Fuel Cell Dataset.
https://github.com/ECSIM/pem-dataset1
Category: Energy Storage
Sub Category: Hydrogen
Keywords
activation-procedure chemistry data data-science dataset electrochemistry energy fuel-cell impedance mea nafion open-science open-source pem physics polarization power proton-exchange-membrane science science-research
Keywords from Contributors
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Last synced: about 14 hours ago
JSON representation
Repository metadata
Proton Exchange Membrane (PEM) Fuel Cell Dataset
- Host: GitHub
- URL: https://github.com/ECSIM/pem-dataset1
- Owner: ECSIM
- License: cc-by-4.0
- Created: 2020-01-04T08:57:29.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-04-20T01:32:05.000Z (7 days ago)
- Last Synced: 2025-04-25T12:05:22.496Z (1 day ago)
- Topics: activation-procedure, chemistry, data, data-science, dataset, electrochemistry, energy, fuel-cell, impedance, mea, nafion, open-science, open-source, pem, physics, polarization, power, proton-exchange-membrane, science, science-research
- Language: Jupyter Notebook
- Homepage:
- Size: 8.46 MB
- Stars: 98
- Watchers: 6
- Forks: 24
- Open Issues: 0
- Releases: 2
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
README.md
Proton Exchange Membrane (PEM) Fuel Cell Dataset
Overview
This dataset are about Nafion 112 membrane standard tests and MEA activation
tests of PEM fuel cell in various operation condition. Dataset include two general electrochemical
analysis method, Polarization and Impedance curves. In this dataset, effect of different pressure of
H2/O2 gas, different voltages and various humidity conditions in several steps are considered.
Behavior of PEM fuel cell during distinct operation condition tests, activation procedure and different operation condition
before and after activation analysis can be concluded from data. In Polarization curves, voltage
and power density change as a function of flows of H2/O2 and relative humidity. Resistance of the
used equivalent circuit of fuel cell can be calculated from Impedance data. Thus, experimental
response of the cell is obvious in the presented data, which is useful in depth analysis, simulation
and material performance investigation in PEM fuel cell researches.
For more information about MEA(Membrane Electrode Assembly) activation procedure visit here
Tests
- Activation Test MEA Constant Current 0.25A
- Activation Test MEA Constant Voltage 0.6V
- Activation Test MEA Constant Voltage 0.6V-2
- Activation Test MEA Constant Voltage 0.6V-3
- Activation Test MEA Constant Voltage 0.6V-4
- Activation Test MEA Cycling Potential
- Activation Test MEA Standard Protocol
- Activation Test MEA Standard Protocol (Repeat)
- Standard Test of Nafion Membrane 112
Notebooks
We have provided some Jupyter Notebooks to visualize the data, visit here
Issues & Bug Reports
Just fill an issue and describe it. We'll check it ASAP!
or send an email to [email protected].
You can also join our discord server
Cite
If you use this dataset in your research, we would appreciate citations to the following paper:
@article{Hamidi2020,
doi = {10.26434/chemrxiv.11902023},
url = {https://doi.org/10.26434/chemrxiv.11902023},
year = {2020},
month = feb,
publisher = {American Chemical Society ({ACS})},
author = {Sarmin Hamidi and Sepand Haghighi and Kasra Askari},
title = {Dataset of Standard Tests of Nafion 112 Membrane and Membrane Electrode Assembly ({MEA}) Activation Tests of Proton Exchange Membrane ({PEM}) Fuel Cell}
}
License
Show Your Support
Give a ⭐️ if this project helped you!
If you do like our project and we hope that you do, can you please support us? Our project is not and is never going to be working for profit. We need the money just so we can continue doing what we do ;-) .
Owner metadata
- Name: ECSIM
- Login: ECSIM
- Email: [email protected]
- Kind: organization
- Description: Electrochemistry Simulation Tools
- Website: https://ecsim.ir
- Location: Tehran, Iran
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/34425602?v=4
- Repositories: 4
- Last ynced at: 2023-02-28T10:40:27.369Z
- Profile URL: https://github.com/ECSIM
GitHub Events
Total
- Watch event: 15
- Delete event: 2
- Push event: 2
- Pull request review event: 2
- Pull request event: 3
- Fork event: 1
- Create event: 2
Last Year
- Watch event: 15
- Delete event: 2
- Push event: 2
- Pull request review event: 2
- Pull request event: 3
- Fork event: 1
- Create event: 2
Committers metadata
Last synced: 5 days ago
Total Commits: 454
Total Committers: 3
Avg Commits per committer: 151.333
Development Distribution Score (DDS): 0.43
Commits in past year: 2
Committers in past year: 1
Avg Commits per committer in past year: 2.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
sepandhaghighi | s****i@y****m | 259 |
Sarmin hamidi | 3****h | 190 |
sadrasabouri | s****a@g****m | 5 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 18
Total pull requests: 9
Average time to close issues: 15 days
Average time to close pull requests: 2 days
Total issue authors: 2
Total pull request authors: 2
Average comments per issue: 2.78
Average comments per pull request: 0.22
Merged pull request: 9
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: about 21 hours
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- sepandhaghighi (16)
- sarminh (2)
Top Pull Request Authors
- sepandhaghighi (8)
- sadrasabouri (1)
Top Issue Labels
- documentation (13)
- enhancement (11)
- bug (6)
- test (1)
Top Pull Request Labels
- documentation (6)
- enhancement (4)
- bug (1)
- test (1)
Dependencies
- art >=1.8
- matplotlib >=2.2.0
- notebook >=5.2.2
- numpy >=1.9.0
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 5.683579767338682