KIT | KIT-Bibliothek | Impressum | Datenschutz

Data Study Group Final Report: Johnson Matthey - Data Driven Modelling of Chemical Processes: Towards Flexible Production of Energy Carriers for a Net-Zero Society

Data Study Group Team

Abstract:

Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges.

Johnson Matthey (JM), an FTSE 250 company, is a global leader in speciality chemicals and sustainable technologies with a 200+ year history of using advanced metals chemistry to tackle the world’s biggest challenges. JM continually seeks to expand on products and services which provide sustainability benefits through the positive impact they have on the environment, resource efficiency and human health. For instance, JM are interested in various new manufacturing processes that help build a sustainable society, such as power-to-X, power-to-fuels, and green hydrogen processes. This challenge mainly pertains to the flexible operation of these processes: we seek to understand how they can be operated with a time-changing feedstock such as electricity.

Data Study Group - December 2023 | The Alan Turing Institute


Volltext §
DOI: 10.5445/IR/1000191054
Veröffentlicht am 02.03.2026
Originalveröffentlichung
DOI: 10.5281/zenodo.13847810
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000191054
Verlag The Alan Turing Institute
Schlagwörter Data Study Group, The Alan Turing Institute, Johnson Matthey, Data Driven Modelling, Chemical Processes
Nachgewiesen in OpenAlex
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page