The comparison of long-term energy scenarios faces significant challenges. Even if scenario data is publicly available with an open license, it is often presented in different formats with the variables lacking semantic standardization due to differing naming conventions and model structures. This makes aligning variables that represent the same concept a difficult, time-consuming, and manual process. This showcase addresses these challenges by applying NFDI4Energy services. We demonstrate a workflow using the NFDI4Energy Annotator to generate initial mappings of scenario variables to the Open Energy Ontology (OEO) and apply it to scenario data in the IAMC format from the Ariadne project. While these suggestions require manual review, the process significantly reduces the manual workload and provides a structured pathway for annotating scenario datasets using the Open Energy Ontology.
", "publication_date": "2026-01-23", "publisher": "Zenodo", "resource_type": { "id": "publication-deliverable", "title": { "de": "Projektergebnis", "en": "Project deliverable" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "D6.4.4.1 Streamlining Long-Term Energy System Scenario Data Annotation" }, "parent": { "access": { "owned_by": { "user": "276396" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "62c9fe00-4835-44b1-a252-ce8e266a2bfa", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2022-11-10T16:44:49.271614+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "62c9fe00-4835-44b1-a252-ce8e266a2bfa", "links": {}, "metadata": { "curation_policy": "", "description": "National Research Data Infrastructure for the Interdisciplinary Energy System Research", "page": "\nNFDI4Energy is a community-driven initiative that aims at building an Open Ecosystem for FAIR (Findable, Accessible, Interoperable, Reusable) Research Artefacts in Energy Systems Research. The goal is to establish a sustainable, transparent, and reproducible research infrastructure that supports the entire research and transfer cycle. This cycle encompasses everything from identifying relevant competencies and defining research scenarios to integrating models, publishing results, and identifying new research questions.
\nThe key focus areas of NFDI4Energy are centered on the creation of a shared research services for FAIR data, software, and processes. These services aim not only to encourage its use within the scientific community but also to enhance the traceability, reproducibility, and transparency of research outcomes for both the scientific community and society at large. Additionally, NFDI4Energy seeks to foster collaboration between research institutions and industry partners while also facilitating greater societal engagement in research.
\nA fundamental component of NFDI4Energy is the development of an open and FAIR service portfolio that supports a wide range of workflows—from data collection to integration into research software. By providing best practices, competence centers, registries, and simulation tools, we are building services that enable the practical application of research findings and contributes to shaping the future of interdisciplinary energy system research.
\nConsortium proposal:
\nNieße, Astrid, Ferenz, Stephan, Auer, Sören, Dähling, Stefan, Decker, Stefan, Dorfner, Johannes, German, Reinhard, Gütlein, Moritz, Hagenmeyer, Veit, Henni, Sarah, Lehnhoff, Sebastian, Lilliestam, Johan, Lu, Linna, Mey, Franziska, Monti, Antonello, Muschner, Christoph, Reinkensmeier, Jan, Richter, Mascha, Schäfer, Mirko, Staudt, Philipp, Süß, Wolfgang, Vogel, Berthold, Weinhardt, Christof, Weidlich, Anke, Zilles, Julia (2022).
\nnfdi4energy – National Research Data Infrastructure for the Interdisciplinary Energy System Research (1.0). Zenodo. https://doi.org/10.5281/zenodo.6772013
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