TY - GEN
T1 - Modeling and validation of a large scale, multiphase carbon capture system
AU - Lane, William A.
AU - Storlie, Curtis
AU - Montgomery, Christopher
AU - Ryan, Emily M.
PY - 2013
Y1 - 2013
N2 - As the effects of climate change continue to rise with increasing carbon dioxide emission rates, it is imperative that we develop an efficient method for carbon capture. This paper outlines the framework used to break down a large, complex carbon capture system into smaller unit problems for model validation, and uncertainty quantification. We use this framework to investigate the uncertainty and sensitivity of the hydrodynamics of a bubbling fluidized bed. Using the open source computational fluid dynamics code MFIX we simulate a bubbling fluidized bed with an immersed horizontal tube bank. Mesh resolution and statistical steady state studies are conducted to identify the optimal operating conditions. The preliminary results show good agreement with experimental data from literature. Employing statistical sampling and analysis techniques we designed a set of simulations to quantify the sensitivity of the model to model parameters that are difficult to measure, including: coefficients of restitution, friction angles, packed bed void fraction, and drag models. Initial sensitivity analysis results indicate that no parameters may be omitted. Further uncertainty quantification analysis is underway to investigate and quantify the effects of model parameters on the simulations results.
AB - As the effects of climate change continue to rise with increasing carbon dioxide emission rates, it is imperative that we develop an efficient method for carbon capture. This paper outlines the framework used to break down a large, complex carbon capture system into smaller unit problems for model validation, and uncertainty quantification. We use this framework to investigate the uncertainty and sensitivity of the hydrodynamics of a bubbling fluidized bed. Using the open source computational fluid dynamics code MFIX we simulate a bubbling fluidized bed with an immersed horizontal tube bank. Mesh resolution and statistical steady state studies are conducted to identify the optimal operating conditions. The preliminary results show good agreement with experimental data from literature. Employing statistical sampling and analysis techniques we designed a set of simulations to quantify the sensitivity of the model to model parameters that are difficult to measure, including: coefficients of restitution, friction angles, packed bed void fraction, and drag models. Initial sensitivity analysis results indicate that no parameters may be omitted. Further uncertainty quantification analysis is underway to investigate and quantify the effects of model parameters on the simulations results.
KW - CFD
KW - Carbon capture
KW - Fluidized beds
KW - Hydrodynamics
KW - Tube bundle
KW - Uncertainty quantification
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UR - http://www.scopus.com/inward/citedby.url?scp=84893019367&partnerID=8YFLogxK
U2 - 10.1115/FEDSM2013-16231
DO - 10.1115/FEDSM2013-16231
M3 - Conference contribution
AN - SCOPUS:84893019367
SN - 9780791855584
T3 - American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
BT - ASME 2013 Fluids Engineering Division Summer Meeting, FEDSM 2013
T2 - ASME 2013 Fluids Engineering Division Summer Meeting, FEDSM 2013
Y2 - 7 July 2013 through 11 July 2013
ER -