Carbon capture and storage:

Carbon capture and storage

  • Experimental optimization of post combustion carbon capture process for climate change mitigation

    Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Dr Kevin Hughes and Prof Ingham

    This project will investigate the most efficient modelling strategy of simulating the CO2 capture process in a novel packed bed for process intensification. A combined computational, experimental and process modelling technique will be employed.

  • Experimental optimization of post combustion carbon capture process for climate change mitigation

    Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Dr Kevin Hughes and Prof Ingham

    Power generation from fossil fuels still plays a central role in meeting our energy demand today and for the foreseeable future. They are at present the largest stationary sources of carbon dioxide emission. Post-combustion CO2 capture is a technique to capture the carbon dioxide that is emitted in the flue gas from these power plants. Chemical absorption using solvents (e.g. MEA) within packed columns is one of the most mature technologies for flue gas CO2 capture. The process to a great extent relies on the amount of the gas-liquid inter-facial area or films generated over the packing materials. This project will employ Computational Fluid Dynamics (CFD) Techniques to simulate the formation of the free surfaces area between a gas and a liquid for a typical packing design. You are expected to have a good knowledge of fluid mechanics and preferably some experience of using a CFD software package.

  • Experimental optimization of post combustion carbon capture process for climate change mitigation

    Emissions and ash behaviour during the combustion of torrefied biomass

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma and Dr Kevin Hughes

    Torrefaction is a new technique of upgrading the quality of biomass as a fuel for power generation. The purpose of this research is to investigate the influence of the torrefaction on the combustion, pollutant emission and ash deposition of biomass. A range of different types of biomass will be torrefied under specific conditions. Then both the raw and torrefied biomass will be fired and compared in terms of gas emissions and ash compositions. Quantified data will be collected and analysed during the combustion. The outcomes of this project will improve our understanding of the potential of future large scale utilisation of torrefied biomass in the power generation industry

  • Experimental optimization of post combustion carbon capture process for climate change mitigation

    Next generation CCS technology for combined cycle gas turbine system

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma and Dr Kevin Hughes

    Carbon Capture and Storage (CCS) from CCGT (combine cycle gas turbine) systems is an emerging near-zero emission technology that can applied to new and retrofit CCGT power plants, leading to a substantial reduction in carbon emission to the atmosphere in power generation industry. This project will model the performance and/or techno‚Äźeconomic assessment for full scale power plants that employ the next generation CCS technologies. Plant process simulation software packages, such as the gCCS and Aspen will be employed as a platform to develop plant simulation tools. CFD simulations will be used for oxyfuel combustion modelling with exhaust gas recirculation (EGR), and linked to the process modelling. The output from this project may be used for future CCS power plant design optimisation, demonstration and/or staff training.

  • Experimental optimization of post combustion carbon capture process for climate change mitigation

    The Development of Models for Mercury Oxidation in Oxyfuel Combustion

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma and Dr Kevin Hughes

    Oxyfuel combustion is one of the leading technologies for Carbon Capture and Storage. Mercury is released to the gas-phase during oxyfuel combustion of coal and biomass and form trace species in flue-gas. Mercury compounds can pose corrosion problems for oxyfuel combustion power plants. Carbon in ash is believed to be a key driving force for reaction and absorption of mercury in power plants. A predictive model for mercury behaviour in oxyfuel power plants would help select suitable control strategies. This project aims to develop a heterogeneous chemical kinetic model for mercury reaction on carbon surfaces with the aid of molecular modelling tools such as Guassian, chemical kinetics programs like Chemkin and Computational Fluid Dynamic (CFD) codes such as Fluent.