Computational Fluid Dynamic Simulations of a Regenerative Process for Carbon Dioxide Capture in Advanced Gasification Based Power Systems

 

Carbon dioxide (CO<sub>2</sub>) and sorbent concentrations<br/>in the riser section of the fluidized bed CO<sub>2</sub> absorber
Carbon dioxide (CO2) and sorbent concentrations
in the riser section of the fluidized bed CO2 absorber
Performer: 
Illinois Institute of Technology
Website:  Illinois Institute of Technology
Award Number:  FE0003997
Project Duration:  08/01/2010 – 07/31/2014
Total Award Value:  $431,975.00
DOE Share:  $299,853.00
Performer Share:  $132,122.00
Technology Area:  University Training and Research
Key Technology:  Simulation-Based Engineering
Location:  Chicago, Illinois

Project Description

A CO2 sorbent regeneration process will be experimentally and computationally studied. The experimental effort will include obtaining the data necessary to determine the intrinsic reaction rates and diffusivity parameters for the CO2 absorption/regeneration and the WGS reactions. A multi-phase Computational Fluid Dynamics (CFD) model is proposed which includes a population balance equation governing the particle porosity distribution (PPD) evolution. The CFD/Population Balance Equation (PBE) model will be numerically solved and simulations of the regenerative carbon dioxide removal process will be performed; the Finite size domain Complete set of trial functions Method Of Moments (FCMOM) numerical technique will be used and developed to solve the PBE. The simulation results will be used to determine the optimum reactor configuration/geometry and the operating conditions for the CO2 removal and hydrogen production.

Project Benefits

This project will develop a computational fluid dynamics (CFD) simulation of a regenerative process for CO2 capture in advanced gasification-based systems. The project will simulate and aid in the design of advanced gasification-based power systems and can help achieve near-zero emissions while meeting system performance and lower capital and operating costs.

Contact Information

Federal Project Manager 
Charles Miller: Charles.Miller@netl.doe.gov
Technology Manager 
Susan Maley: Susan.Maley@netl.doe.gov
Principal Investigator 
Hamid Arastoopour: Arastoopour@iit.edu
 

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