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71 to 80 of 1,924 Results

V_to_J.txt Jun 17, 2025 - Replication Data for: https://doi.org/10.48550/arXiv.2503.06768 Plain Text - 3.7 KB - SHA-256: d14e5356ce8c64d4be255e22942fa8aee619d0a733f719257ab44a8aea68ec1d
Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python May 21, 2025 Zerressen, Sarah, 2025, "Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python", https://doi.org/10.26165/JUELICH-DATA/PYGQTO, Jülich DATA, V2 We created a semi-synthetic wind profile from wind turbine data and converted it to current and potential profiles for PEM and alkaline water electrolysis cells with a maximum power output of 40 and 4 W respectively. Then we conducted dynamic electrolysis with these profiles for...
Turbine_Power_SemiSynthetic.csv May 21, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Comma Separated Values - 736.5 KB - SHA-256: 07c0d25586cc0d2fbcdc9b6380fd66c9a6e24dd540474e6fc484a866834b8dc0
AWE_dyn_wind_interruption.csv Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Comma Separated Values - 53.3 MB - SHA-256: cca99aad2f89be9490c4525f53807af56f1e14426dab41cbb11be7a7ea406cce
AWE_dyn_wind_no_interruption.csv Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Comma Separated Values - 65.5 MB - SHA-256: 7e31b072c33a01da2eac0eb8bd961b83be2a37de0f5e242b5a749ea3d6d991c2
AWE_recorded_curves.csv Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Comma Separated Values - 20.5 KB - SHA-256: f9feff6651a402f0d974ff4d4f5c5dba809a5410e3a7218fd5142a1934e3ae22
documentation.zip Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python ZIP Archive - 7.2 MB - SHA-256: a3aa3384fa667f6e8ce3ea6afd712545a53ea4f3753b85da82eab48b5b3ed9ed
DynEx.cpython-312.pyc Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Unknown - 67.7 KB - SHA-256: 7e24de36d12d5e36dd52c62435b8501d34860f0a3cf14144917a3bbe7a45e1cf
DynEx.py Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Python Source Code - 70.5 KB - SHA-256: d50aae5cd563ef756171c626d573ac710c84c6119386321a29331190b9af0364
PEM_dyn_wind_data.csv Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Comma Separated Values - 130.4 MB - SHA-256: 17e857a130c1674092e19966c81abafd6feea39deeff40d66a9da1cbf0ebd4bc

V_to_J.txt

Jun 17, 2025 - Replication Data for: https://doi.org/10.48550/arXiv.2503.06768

Plain Text - 3.7 KB - SHA-256: d14e5356ce8c64d4be255e22942fa8aee619d0a733f719257ab44a8aea68ec1d

Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

May 21, 2025

Zerressen, Sarah, 2025, "Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python", https://doi.org/10.26165/JUELICH-DATA/PYGQTO, Jülich DATA, V2

We created a semi-synthetic wind profile from wind turbine data and converted it to current and potential profiles for PEM and alkaline water electrolysis cells with a maximum power output of 40 and 4 W respectively. Then we conducted dynamic electrolysis with these profiles for...

Turbine_Power_SemiSynthetic.csv

May 21, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Comma Separated Values - 736.5 KB - SHA-256: 07c0d25586cc0d2fbcdc9b6380fd66c9a6e24dd540474e6fc484a866834b8dc0

AWE_dyn_wind_interruption.csv

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Comma Separated Values - 53.3 MB - SHA-256: cca99aad2f89be9490c4525f53807af56f1e14426dab41cbb11be7a7ea406cce

AWE_dyn_wind_no_interruption.csv

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Comma Separated Values - 65.5 MB - SHA-256: 7e31b072c33a01da2eac0eb8bd961b83be2a37de0f5e242b5a749ea3d6d991c2

AWE_recorded_curves.csv

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Comma Separated Values - 20.5 KB - SHA-256: f9feff6651a402f0d974ff4d4f5c5dba809a5410e3a7218fd5142a1934e3ae22

documentation.zip

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

ZIP Archive - 7.2 MB - SHA-256: a3aa3384fa667f6e8ce3ea6afd712545a53ea4f3753b85da82eab48b5b3ed9ed

DynEx.cpython-312.pyc

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Unknown - 67.7 KB - SHA-256: 7e24de36d12d5e36dd52c62435b8501d34860f0a3cf14144917a3bbe7a45e1cf

DynEx.py

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Python Source Code - 70.5 KB - SHA-256: d50aae5cd563ef756171c626d573ac710c84c6119386321a29331190b9af0364

PEM_dyn_wind_data.csv

Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python

Comma Separated Values - 130.4 MB - SHA-256: 17e857a130c1674092e19966c81abafd6feea39deeff40d66a9da1cbf0ebd4bc

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