nfdi4energy – National Research Data Infrastructure for the Interdisciplinary Energy System Research

Astrid Nieße, Stephan Ferenz, Sören Auer, Stefan Dähling, Stefan Decker, Johannes Dorfner, Reinhard German, Moritz Gütlein, Veit Hagenmeyer, Sarah Henni, Sebastian Lehnhoff, Johan Lilliestam (+13 others)
2022 Zenodo  
The necessary transformation of energy systems towards net zero greenhouse gas emissions provides a plethora of new research challenges. New interconnections between different energy sectors, such as power, heat and mobility, increase the system's complexity. In this context, the digitalisation towards cyber-physical energy systems (CPES) alleviates change, and equally affects technical, social, and societal topics, as well as the mode of research in the CPES research community. Research
more » ... towards CPES heavily rely on modelling and (co-)simulation-based approaches. Tracking of models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. To this end, nfdi4energy covers the whole research and transfer cycle of projects in energy system research ranging from (1) identifying relevant competences for a project; (2) defining relevant scenarios and experimental setup; (3) integrating models and data; coupling tools and laboratories; (4) extracting results, facilitating public consultation; to (5) identifying research challenges for follow-up activities. We define the following key objectives: (1) Establish common research community services for FAIR data, models, and processes in energy system research and motivate its use in the community. (2) Allow traceability, reproducibility, and transparency of results for the scientific community as well as for the society, improving the overall FAIRness. (3) Enable and motivate the involvement of society for the identification and solution of relevant research questions. (4) Promote better collaboration and knowledge transfer between scientific research institutes and business partners via FAIR research data management. (5) Simplify identification, integration, and coordination of simulation-based models. (6) Integrate the provided services for energy system research within the wider NFDI ecos [...]
doi:10.5281/zenodo.6772012 fatcat:cckdwmnnwzgihi2gwx5hd6r4pi