nfdi4energy – National Research Data Infrastructure for the Interdisciplinary Energy System Research
Creators: name: Nieße, Astrid
name: Ferenz, Stephan
name: Auer, Sören
name: Dähling, Stefan
name: Decker, Stefan
name: Dorfner, Johannes
name: German, Reinhard
name: Gütlein, Moritz
name: Hagenmeyer, Veit
name: Henni, Sarah
name: Lehnhoff, Sebastian
name: Lilliestam, Johan
name: Lu, Linna
name: Mey, Franziska
name: Monti, Antonello
name: Muschner, Christoph
name: Reinkensmeier, Jan
name: Richter, Mascha
name: Schäfer, Mirko
name: Staudt, Philipp
name: Süß, Wolfgang
name: Vogel, Berthold
name: Weinhardt, Christof
name: Weidlich, Anke
name: Zilles, Julia
Publisher: name: Zenodo
Year: 2022
Subjects: nfdi
research data management
energy research

description: 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 <strong>cyber-physical energy systems</strong> (CPES) alleviates change, and equally affects technical, social, and societal topics, as well as the mode of research in the CPES research community. Research efforts towards CPES heavily rely on <strong>modelling</strong> and (co-)<strong>simulation-based approaches</strong>. 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, <strong>nfdi4energy</strong> covers the whole <strong>research and transfer cycle</strong> 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 <strong>key objectives</strong>: (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 ecosystem to improve cross-domain collaboration. To fulfil these objectives, nfdi4energy concentrates on five <strong>key services</strong> to provide a non-discriminatory access to digital research objects: (1) <em>Competence</em> to help to navigate the interdisciplinary research field, (2) <em>Best Practices</em> to get information about successful conduct of research including research data management, (3) <em>Registry</em> to find suitable data and software, (4) <em>Simulation</em> to couple existing simulations and, therefore, reuse software artefacts, and (5) <em>Transparency</em> to involve more stakeholders in all research stages. With these services, nfdi4energy aims to develop and provide an <strong>open and FAIR research ecosystem</strong> in the energy system domain containing a large share of common workflows from data gathering to the inclusion into research software, together with data publications for researchers spanning from single component development (like battery storage systems or other new smart grid equipment) up to system-of-systems research (based on mathematical or analytical models).