hyBit Open Data Collection: FAIR Data for Hydrogen-Based Industrial Transformation
The transition to a sustainable, climate-neutral economy requires transparent, reproducible, and reusable research data across energy system modeling and industrial transformation studies. This paper introduces the hyBit Open Data Collection, a FAIR-aligned repository of datasets and simulation models developed within the hyBit project. The collection includes historical weather data, photovoltaic system configurations, wind turbine specifications, steel plant electricity consumption profiles, and pandapower/pandapipes-based network models of electrical and hydrogen infrastructure. All resources are published on a FAIR-aligned open access persistent data storage Zenodo to improve findability, accessibility, interoperability, and reusability of the data collection. We describe the contents, data pipelines and formats, and outline how the research community can contribute to this growing open science resource. Concluding remarks discuss the collection's alignment with FAIR principles, its potential applications in energy system research, and current limitations.
Authors
- Jorge Marx Gómez (ORCID: https://orcid.org/0000-0002-7833-7549)
- Danila Valko (ORCID: https://orcid.org/0000-0002-8058-7539)
- Sharaf Alsharif
- Kaja Petersen (ORCID: https://orcid.org/0009-0003-8315-3968)
Institutions
- Carl von Ossietzky Universität Oldenburg (DE)
- Oldenburger Institut für Informatik (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-27
- DOI
- https://doi.org/10.5281/zenodo.22132918
- Primary Topic
- Research Data Management Practices
- Type
- preprint