Learning a Data-Driven Reactor Model from Experimental Data of a Continuously 
Operated Fixed-Bed CO2 methanation Reactor on Pilot-Scale

Geschke, Alexander; Bremer, Jens; Sundmacher, Kai

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Learning a Data-Driven Reactor Model from Experimental Data of a Continuously Operated Fixed-Bed CO2 methanation Reactor on Pilot-Scale

Geschke, A., Bremer, J., & Sundmacher, K. (2024). Learning a Data-Driven Reactor Model from Experimental Data of a Continuously Operated Fixed-Bed CO2 methanation Reactor on Pilot-Scale. Poster presented at 2024 AIChE Annual Meeting, San Diego, USA.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-7C2A-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-7C2B-4

Genre: Poster

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Creators:
Geschke, Alexander¹, Author
Bremer, Jens¹, Author
Sundmacher, Kai^{1, 2}, Author

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Language(s): eng - English

Dates: Submitted: 2024

Publication Status: Submitted

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Rev. Type: Peer

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Title: 2024 AIChE Annual Meeting

Place of Event: San Diego, USA

Start-/End Date: 2024-10-27 - 2024-10-31

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