Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python (ICPSR doi:10.26165/JUELICH-DATA/PYGQTO)

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Document Description

Citation

Title:

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

Identification Number:

doi:10.26165/JUELICH-DATA/PYGQTO

Distributor:

Jülich DATA

Date of Distribution:

2025-04-14

Version:

2

Bibliographic Citation:

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

Study Description

Citation

Title:

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

Identification Number:

doi:10.26165/JUELICH-DATA/PYGQTO

Authoring Entity:

Zerressen, Sarah (IET-4)

Distributor:

Jülich DATA

Access Authority:

Zerressen, Sarah

Depositor:

Zerressen, Sarah

Date of Deposit:

2024-12-10

Study Scope

Keywords:

Chemistry, Engineering

Abstract:

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 up to 961 h with PEMWE and AWE single cells. The data obtained from the dynamic operation are included in the dataset. We applied two analysis methods to our datasets in Python to extract performance data from the electrolysis cells like I-V-curves, current density dependent cell voltage changes and resistances. The Python code is also part of the dataset.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1016/j.ijhydene.2025.03.387

Bibliographic Citation:

Pape, S.-V.; Zerressen, S.; Seidler, M. F.; Keller, R.; Lohmann-Richters, F.; Müller, M.; Apfel, U.-P.; Mechler, A. K.; Glüsen, A., Performance data extraction from dynamic long-term operation of proton exchange membrane and alkaline water electrolysis cells. Int. J. Hydrogen Energy 2025, 127, 51-63.

Other Study-Related Materials

Label:

AWE_dyn_wind_interruption.csv

Notes:

text/csv

Other Study-Related Materials

Label:

AWE_dyn_wind_no_interruption.csv

Notes:

text/csv

Other Study-Related Materials

Label:

AWE_recorded_curves.csv

Notes:

text/csv

Other Study-Related Materials

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documentation.zip

Notes:

application/zip

Other Study-Related Materials

Label:

DynEx.cpython-312.pyc

Notes:

application/octet-stream

Other Study-Related Materials

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DynEx.py

Notes:

text/x-python

Other Study-Related Materials

Label:

PEM_dyn_wind_data.csv

Notes:

text/csv

Other Study-Related Materials

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PEM_recorded_data.csv

Notes:

text/csv

Other Study-Related Materials

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readme.txt

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text/plain

Other Study-Related Materials

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simple_example.py

Notes:

text/x-python

Other Study-Related Materials

Label:

Turbine_Power_SemiSynthetic.csv

Notes:

text/csv