Numerical Investigations Through CFD and RSM of Single- and Two-Phase Flow Characteristics of Rotating Packed Bed Reactor Used for CO2 Capture

  • Abir Yunus Alhammadi

Student thesis: Master's Thesis


As part of the nationally determined contributions (NDCs) defined within the United Nations Framework Convention on Climate Change (UNFCCC), an ambitious approach from each country is required to decrease the world's greenhouse gas emissions. The prime share of these greenhouse gas emissions comes from the power generation and industrial sector, covering 69.8% of the total gas emissions worldwide. In this context, pre and post-combustion carbon capture technologies have gained much attention to mitigate climate changes and meet demands of the ever-rising power requirements around the globe with its 85% dependence on fossil fuel thermal power generation. Although research is being done to create greener power cycles to meet the ambitious but essential goal set by the UAE, carbon capture from the environment itself has become imperative. This novel idea is facing its frontier where cost and size issues, for example, still need to be addressed. The process intensified (PI) technology could be a promising and cost-effective carbon capture technique. Among these PI technologies, HiGee technology has emerged as one of the PI technologies that promise efficient intensification of many processes, including CO2 capture. With this reference, in the current research, both single-phase and two-phase CFD models are developed for Rotating Bed Reactor (RBR). The Single-phase model is used to validate the numerical model using data available in the literature. A two-phase model is used to analyze the hydraulic performance of the RBR using various flow conditions changed by varying the various flow parameters that include gas flow rate, liquid flow rate, packing porosity, and packing rotational speed. The CFD models' predictions are then used to develop a response surface methodology (RSM) regression model. The central composite design is used to design the experiment for the RSM using the parameters mentioned above as design variables and pressure drop as a response variable. Finally, RSM is used to extend the model's validity beyond the conditions for which it was validated for future scale-up.
Date of AwardMay 2022
Original languageAmerican English


  • HiGee contactors
  • Process intensification
  • Post-combustion carbon capture
  • CFD
  • Response surface methodology
  • Regression.

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