TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. The MP-PIC method for CFD-simulation of biomass gasification in a lab-scale fluidized bed
 
Options

The MP-PIC method for CFD-simulation of biomass gasification in a lab-scale fluidized bed

Publikationstyp
Conference Paper
Date Issued
2021-05
Sprache
English
Author(s)
Dymala, Timo 
Hartge, Ernst-Ulrich  
Song, Tao  
Shen, Laihong  
Heinrich, Stefan  
Institut
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
TORE-URI
http://hdl.handle.net/11420/10136
Start Page
208
End Page
213
Citation
International Conference on Fluidized Bed Technology (CFB 2021)
Contribution to Conference
13th International Conference on Fluidized Bed Technology, CFB 2021  
Scopus ID
2-s2.0-85110832437
Aim of the project “Multi-scale analysis and optimization of chemical looping gasification of biomass” of the Hamburg University of Technology (TUHH) with the Southeast University (SEU) is the detailed modeling and subsequent optimization of a Chemical Looping Gasification (CLG) process. For this purpose, the process is simulated using the multiphase particle-in-cell (MP-PIC) method, which allows a detailed simulation of even large-scale units with affordable computational efforts. This paper deals with the implementation and validation of the reaction model for the gasification reactions.
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback