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The dataverse of the Institute of Energy Technologies – Electrochemical Process Engineering (IET-4)
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Unknown - 24.2 KB - SHA-256: a4867987151653a9478e6245a95ba6045bcb33efd4c8267ac44f8517d5202a46
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Plain Text - 2.5 KB - SHA-256: 33e7904d0743101e0ac0a2f37ac843b8d44c2f2011fbf3a5c615bdb22178df35
This file describes the dataset and the provided files therein.
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Unknown - 7.6 KB - SHA-256: e5869a4bdc9edd3577410bad15db877b3d823f5f1ba0b31a8d06e69d11f31a57
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...
Comma Separated Values - 736.5 KB - SHA-256: 07c0d25586cc0d2fbcdc9b6380fd66c9a6e24dd540474e6fc484a866834b8dc0
Comma Separated Values - 53.3 MB - SHA-256: cca99aad2f89be9490c4525f53807af56f1e14426dab41cbb11be7a7ea406cce
Comma Separated Values - 65.5 MB - SHA-256: 7e31b072c33a01da2eac0eb8bd961b83be2a37de0f5e242b5a749ea3d6d991c2
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