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SEDOS — A FAIR dataset for technologically-detailed modeling of Germany´s energy transition

SEDOS — ドイツのエネルギー転換の技術詳細モデリングのためのFAIRデータセット (AI 翻訳)

Hedda Gardian, H.J. Gils, Beneharo Reveron Baecker, Samuel Hasselwander, Hendrik Huyskens, Anik Islam, G. Müller, Viktor Slednev, Jonas Winkler, Ulrich Fahl

Energy Reports📚 査読済 / ジャーナル2026-05-22#エネルギー転換Origin: EU対象セクター: power
DOI: 10.1016/j.egyr.2026.109390
原典: https://doi.org/10.1016/j.egyr.2026.109390

🤖 gxceed AI 要約

日本語

本論文は、ドイツのエネルギーシステムの技術詳細モデリングを目的としたオープンデータセットSEDOSを紹介する。SEDOSは、需要・供給・転換部門を横断するデータを統合し、2000以上の技術を詳細に表現する。FAIR原則に準拠し、再現可能なエネルギーシステム分析を可能にする。

English

This paper introduces SEDOS, an open dataset for technologically-detailed modeling of Germany's energy system. It integrates cross-sectoral data, represents over 2000 technologies, and aligns with FAIR principles to support transparent and reproducible energy system analyses.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では、エネルギーシステムモデリングのデータ整備が進んでおらず、SEDOSのようなFAIR原則に基づくデータセットは、日本のエネルギー転換研究や政策立案におけるデータ基盤構築の参考となる。

In the global GX context

Globally, SEDOS exemplifies best practices in open data for energy modeling, promoting transparency and reproducibility. It offers a template for other countries to develop similar datasets, supporting cross-border analyses and sector integration studies.

👥 読者別の含意

🔬研究者:Provides a comprehensive, FAIR-compliant dataset for energy system modeling, enabling reproducible and cross-sectoral analyses.

🏢実務担当者:Offers a structured data source for energy planning and sector integration, useful for utilities and consultancies.

🏛政策担当者:Demonstrates the value of open data infrastructure for evidence-based energy transition policy.

📄 Abstract（原文）

State-of-the-art modeling approaches for energy system planning reflect the interdependencies across demand sectors such as buildings, transport, and industry, the supply sector, and the transformation sector. However, modeling continues to be hindered by the fragmentation of data sources, inconsistent formats, and the extensive effort required for data acquisition and harmonization. To address these challenges, this paper presents the open dataset SEDOS, tailored for technologically-detailed modeling of the German energy system. SEDOS offers a comprehensive, structured, and up-to-date collection of data across all energy sectors, supporting cross-sectoral analyses. The dataset is based on a relational model structure that ensures consistency between technologies, commodities, and sectors, and is accessible through an interactive online dashboard. SEDOS includes scenario data up to the year 2070, hourly time series, and a detailed representation of more than 2000 technologies. On the demand side, the dataset records the development of energy services and products for the supply of which a broad technology portfolio is characterized in terms of its technical and economic parameters. While focused on Germany, the dataset incorporates a European perspective for the power sector to enable cross-border market assessments. A key novelty of SEDOS is its alignment with the FAIR principles (Findable, Accessible, Interoperable, Reusable), supporting transparency, reusability, and integration into diverse modeling frameworks, which lowers the entry barrier for modelers and facilitates consistent and reproducible energy system analyses. This paper outlines the methodology behind the dataset, presents its structure and contents, and describes instructions for use in long-term energy system planning and sector integration studies.

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