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Research in CO2 reduction by carbonation

Research in CO2 reduction by carbonation

Carter, William (2018) Research in CO2 reduction by carbonation. PhD thesis, University of Greenwich.

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Abstract

An algebraic slip model has been developed and tested in the CFD software suite PHYSICA, for the simulation of gas-solid flow. It has been combined with reaction code and used to simulate a carbonator and a calciner as part of a carbonation cycle for carbon capture in two and three dimensions.

Carbon capture technologies show promise and many countries are developing or planning power plants incorporating carbon capture and storage (CCS) as a means of reducing their CO2 outputs. Carbon capture using Calcium oxide is a cost-effective alternative to the current more popular methods such as monoethylamine, which suffer from high regenerative costs and corrosion.

The algebraic slip model offers an alternative to other, more complicated methods of multiphase flow simulation, and allows for the modelling of systems containing a distribution of phases and material properties. In the past it has been used for modelling cyclones where there are a range of particles sizes to account for, but it has not been commonly applied to fluidisation, except for simulating continuous phases in some Lagrangian studies.

This thesis presents an investigation into the applicability of the model as a means of quantifying the behaviour of a fluidised bed and compares its performance to physical experiments and an earlier Lagrangian model developed in the in-house code PHYSICA.

The model’s performance has been found to compare well in terms of the behaviour of the reaction in the carbonator, and to approximate the performance of both a real-world plant and a Lagrangian simulation, albeit under modified conditions.

Item Type: Thesis (PhD)
Uncontrolled Keywords: Carbon capture technologies, CO2 outputs, PHYSICA
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 01 Sep 2020 18:47
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/29532

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