Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716376
Title: Technical and economic optimisation of post combustion carbon capture by aqueous amine absorption
Author: Browne, Anthony Daniel
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2014
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Abstract:
Post combustion carbon capture is a promising and relatively mature method of reducing carbon dioxide emissions from fossil fuel combustion. Power generation utilising post combustion carbon capture technology has the potential to achieve near zero carbon dioxide emissions whilst maintaining the security of electricity supply associated with fossil fuel power generation. A key issue associated with any new technology is achieving accurate designs, producing feasibility studies and completing capital and operating cost estimation. This thesis describes and validates methods of simulating post combustion carbon capture in Aspen HYSYS. Simulations are completed in both equilibrium and rate- based methods. This work is in association with Doosan Power Systems, who are the designer and installer of the UK's largest carbon capture pilot plant at Ferrybridge in Yorkshire. The Ferrybridge pilot plant, which is known as the CCPilotlOO+, is capable of capturing in excess of 100 tonnes of carbon dioxide per day, and is one of the first in the world to be integrated into a live power plant. Equilibrium and rate-based simulations are validated against the best available pilot plant performance data taken from the literature and against comprehensive data sets from the Ferrybridge CCPilotlOO+ pilot plant. The equilibrium methods are found to have a limitation in that they cannot accurately predict the performance of packed columns. The rate-based simulation method is pursued as the best option for technical design and cost estimation of post combustion carbon capture systems. Rate-based simulation methods based on the electrolyte non-random two liquid model are validated against pilot plant data for systems using aqueous monoethanolamine, and aqueous blends of monoethanolamine and methyl diethanolamine.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.716376  DOI: Not available
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