SEDOS — A FAIR dataset for technologically-detailed modeling of Germany´s energy transition (Gardian et al., 2026)

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.

Published in: Energy Reports, Volume 15, June 2026.

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