hyBit Open Data Collection: FAIR Data for Hydrogen-Based Industrial Transformation
Danila Valko and Sharaf Alsharif and Kaja Petersen and Jorge Marx Gómez
Proc. of the 3nd ICTA-EMOS conference (ICTA-EMOS 2026)
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.
August / 2026
inproceedings
hyBit
Hydrogen for Bremen’s industrial Transformation - Ein Initialimpuls für die Wasserstoff-Hanse
Hydrogen for Bremen’s industrial Transformation - Ein Initialimpuls für die Wasserstoff-Hanse
