HyTEGAM: A reproducible simulated dataset for endogenous hydrogen-market formation, storage operation and post-DAM electricity balancing

HyTEGAM is a reproducible simulated dataset and source-code package supporting the analysis of endogenous hydrogen-market formation in a sector-coupled electricity–hydrogen system. The archive contains the frozen Python implementation, four market-development scenario configurations, input profiles, 35,040 hourly scenario observations, annual summaries, agent and market outputs, post-DAM imbalance-settlement results, validation records, multi-seed robustness outputs, sensitivity rankings, data dictionaries, manifests and file checksums. The simulations represent six autonomous agents interacting through neutral hydrogen and day-ahead electricity-market clearing, with a non-strategic Hydrogen Infrastructure Operator enforcing electrolysis, compression, storage, withdrawal and reconversion constraints. The dataset supports reproduction of the associated IJHE and Data in Brief analyses, comparison of alternative market-clearing and learning methods, and extension to additional hydrogen-market scenarios. Dataset files are licensed under CC BY 4.0; the included source code is licensed under BSD 3-Clause.