Record link: 
http://hdl.handle.net/20.500.12708/136384
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Title: 
Datengetriebene Modellierung einer Zweibettwirbelschicht-Gaserzeugungsanlage
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Citation: 
Stanger, L., Kozek, M., & Schirrer, A. (2022). Datengetriebene Modellierung einer Zweibettwirbelschicht-Gaserzeugungsanlage. In Green Deal (pp. 41–47). http://hdl.handle.net/20.500.12708/136384
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
German
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Authors: 
Stanger, Lukas 
Kozek, Martin 
Schirrer, Alexander 
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Organisational Unit: 
E325-04-1 - Forschungsgruppe Regelungsmethoden-Energiesysteme 
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Published in: 
Green Deal 
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ISBN: 
978-3-903207-64-6
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Date (published): 
1-Jun-2022
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Event name: 
e-nova International Conference Green Deal Energie - Gebäude - Umwelt 2021/22 
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Event date: 
1-Jun-2022 - 2-Jun-2022
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Event place: 
Pinkafeld, Austria
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Number of Pages: 
7
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Keywords: 
Gaserzeugung; Zweibett-Wirbelschicht; Modellierung
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Abstract: 
Dual fluidized bed gasification plants can be used for thermo-chemical conversion of biomass to a high-valuable product gas. Applying advanced control concepts offers the opportunity to increase the efficiency of those plants. Model predictive control has been applied successfully to control plants in the process industry. In this paper, the identification of a 100-kW pilot plant at the TU Wien is presented in order to obtain a model that can be used for model predictive control.
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Project title: 
Comprehensive Automation, Digitalisation & Optimization of Renewable & Sustainable SNG-production: 881135 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Link (external): 
https://www.fh-burgenland.at/events/e-nova/
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Research Areas: 
Modeling and Simulation: 50%
Climate Neutral, Renewable and Conventional Energy Supply Systems: 50%
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Science Branch: 
2040 - Chemische Verfahrenstechnik: 50%
2030 - Maschinenbau: 50%
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Appears in Collections:
Conference Paper

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