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

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.

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Carbon dioxide (CO2) and sorbent concentrations in the riser section of the fluidized bed CO2 absorber

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Computational Fluid Dynamic Simulations of a Regenerative Process for Carbon Dioxide Capture in Advanced Gasification-Based Power Systems (May 2014)
Presented by Shalin Zarghami, Illinois Institute of Technology, 2014 NETL Crosscutting Technology Research Review Meeting, Pittsburgh, PA.

Principal Investigator

Hamid Arastoopour

Arastoopour@iit.edu

Project Benefits

This project will develop a computational fluid dynamics (CFD) simulation of a regenerative process for CO₂capture 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.

Project ID

FE0003997

Website

Illinois Institute of Technology

http://web.iit.edu/