AI4Energy? Artificial Intelligence and Data Science for Energy and Hydrogen Research Grant
Bundesregierung / Förderdatenbank
In context
This call is open to universities, research institutions and small and medium-sized businesses and 2 others, at idea and R&D stage and prototype and pilot stage. Funding is a grant. Coverage is read from the notice itself: Germany.
KI4Energy is a German federal funding call that supports the use of artificial intelligence and data science in energy and hydrogen research. It is aimed at research institutions, universities and companies carrying out energy-transition R&D in Germany.
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Key requirements
- ✓Project must apply AI or data science methods to energy or hydrogen research
- ✓Applicants are expected to be German research or industry partners eligible under the Bundesregierung / Förderdatenbank scheme
- ✓Full call details, deadline and funding amounts were not provided and must be verified on the official funder page
Frequently asked questions
- Who can apply for AI4Energy? Artificial Intelligence and Data Science for Energy and Hydrogen Research?
- Eligibility covers organisations in DE; university, research-institution, sme, large-company, consortium.
Relevant sectors
How this compares
- Compared with 10 similar grants (hydrogen in Germany) listed in the last 12 months.
- The same organisation listed 8 other similar grants here in the last 12 months.
Closest open grants
- Funding under the "Model Region Green Hydrogen 2021–2027" Programme (VwV EFRE – Hydrogen 2021–2027)
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- Funding for Projects on Research Hubs "Hydrogen4Future"
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Figures are computed from notices listed on Raise Lens in the same sector and country over the last 12 months.
About this sector
Hydrogen and e-fuels funding supports electrolysers, production plants, storage, transport and end uses in industry, shipping and aviation. Support is often tied to low-carbon production standards and offtake from named users. Calls commonly ask for a site, a supply of renewable power and a consortium that covers production through to demand.
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