Institute of Energy Technologies – Electrochemical Process Engineering (IET-4)

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611 to 620 of 842 Results

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
PEM_recorded_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 - 2.6 MB - SHA-256: 45643d274947331a8ff3e7ec61fdc468fdff44acbe34305de24866b266727621
readme.txt Apr 14, 2025 - Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python Plain Text - 255 B - SHA-256: e6d5c7e1c99eae04bc805e25f1422afcc29c5f791f1972e5b2ffba693e795896
simple_example.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 - 2.5 KB - SHA-256: 3eca47cba7f26c7a4aba13e1d4607d2b822515ae9bb9738149b617c5e222b33b
Stochastic representations of fiber-based gas diffusion layers Dec 13, 2024 Froning, Dieter, 2024, "Stochastic representations of fiber-based gas diffusion layers", https://doi.org/10.26165/JUELICH-DATA/RCL4O0, Jülich DATA, V1 Gas diffusion layers (GDLs) are relevant for the efficient fluid transport between the channel structure and the membrane electrode assembly (MEA) of fuel cells [1]. Black/white (BW) images of 25 realizations of a stochastic model represent the micro-structure of paper-type GDLs...
Toray-images.zip Dec 13, 2024 - Stochastic representations of fiber-based gas diffusion layers ZIP Archive - 135.6 MB - SHA-256: d5c952789f77dfb8c768d1c219ab07551279ea40307e2b9c676aa1695570217d Black/white images representing a stochastic model of a Toray GDL.

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

PEM_recorded_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 - 2.6 MB - SHA-256: 45643d274947331a8ff3e7ec61fdc468fdff44acbe34305de24866b266727621

readme.txt

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

Plain Text - 255 B - SHA-256: e6d5c7e1c99eae04bc805e25f1422afcc29c5f791f1972e5b2ffba693e795896

simple_example.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 - 2.5 KB - SHA-256: 3eca47cba7f26c7a4aba13e1d4607d2b822515ae9bb9738149b617c5e222b33b

Stochastic representations of fiber-based gas diffusion layers

Dec 13, 2024

Froning, Dieter, 2024, "Stochastic representations of fiber-based gas diffusion layers", https://doi.org/10.26165/JUELICH-DATA/RCL4O0, Jülich DATA, V1

Gas diffusion layers (GDLs) are relevant for the efficient fluid transport between the channel structure and the membrane electrode assembly (MEA) of fuel cells [1]. Black/white (BW) images of 25 realizations of a stochastic model represent the micro-structure of paper-type GDLs...

Toray-images.zip

Dec 13, 2024 - Stochastic representations of fiber-based gas diffusion layers

ZIP Archive - 135.6 MB - SHA-256: d5c952789f77dfb8c768d1c219ab07551279ea40307e2b9c676aa1695570217d

Black/white images representing a stochastic model of a Toray GDL.

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