遇见数据集

Resilience analysis for energy foresight scenarios: addressing the deep uncertainties of hydrogen deployment in industrial hubs - Raw dataset

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Zenodo2025-07-04 更新2026-05-26 收录
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This dataset was created to run a capacity expansion model at european scale from 2020 to 2050 with different variants. Here are the raw data from which every parameter of the model is derived. Most of the dataset is comming from the TYNDP 2024 study ("Distributed Energy" scenario) ENTSOG, ENSTSO-E, TYNDP 2024 - Scenarios Methodology Report, Technical Report, 2024. URL: https://2024.entsos-tyndp-scenarios.eu. See "TYNDP data to POMMES" document to get more inforamtion about the methodology. The set includes: -The hourly electricity and hydrogen consumption for each country. -The hourly comodity prices (coal, natural gas, biogas, electricity, hydrogen...). -The average hourly availability factors of different electricity and hydrogen production technologies for each country (nuclear plants, onshore wind turbines, offshore wind turbines, solar PV, gas turbines, H2 turbines, hydraulic turbines, coal plants etc...). -The techno-economic data for all the technologies of the model (CAPEX, OPEX, life time)

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Zenodo
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2025-07-04
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