Energy Use:

Carbon capture and storage

  • Self-funded PhD: Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

    Performance assessment and flexibility study of natural gas-fired Power Plants integrated with intensified solvent based Carbon Capture

    Supervisor: Supervisors: Prof Meihong Wang, Prof Mohamed Pourkashanian, Prof Lin Ma

    Natural gas-fired (mainly combined cycle gas turbine) power plants are becoming increasingly popular due to its cleaner nature.   Solvent based carbon capture is the most matured technology for commercial deployment in natural gas-fired power plants. The challenges are: high capital cost and energy consumption for solvent regeneration. The new solution is to apply process intensification technology for solvent based carbon capture. This project aims to evaluate solvent based intensified carbon capture for gas-fired power plants based on process modelling and simulation.  The questions to be answered are: size of the equipment such as Absorber and Stripper, capital costs, operating costs, energy consumption to capture per tonne of CO2 and operational flexibility.

  • Self-funded PhD: Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

    Process modelling and flexibility study of Coal-fired Power Plants integrated with intensified solvent based Carbon Capture

    Supervisor: Prof Meihong Wang, Prof Mohamed Pourkashanian, Prof Lin Ma

    Coal is the major primary energy source in many countries such as China and India. Coal-fired power plants are the largest single sources of CO2 emissions. Therefore, carbon capture for coal-fired power plants is vital to achieve the CO2 emission reduction target. Solvent based carbon capture is the most matured technology for commercial deployment. However, it suffers from high capital cost and energy consumption for solvent regeneration. The new solution is to apply process intensification technology for solvent based carbon capture. This project aims to study how to implement intensified carbon capture using solvents for coal-fired power plants based on process modelling and simulation.

  • Self-funded PhD: Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

    Capture and Storage, and Cleaner Fossil Energy

    Supervisor:

  • Self-funded PhD: Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

    Particle size distribution in flue gases for carbon capture

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

    The UKCCSRC PACT Facilities are home to numerous combustion devices: natural gas-fired gas turbines and a pulverized fuel reactor burning coal and biomass, used for CCS applications either coupled with post-combustion capture or when operating under oxy-combustion conditions. This project will use differential mass spectrometry to compare submicron particulate emissions from the different reactors using different fuels and operating regimes. This will consider the particle size spectra, particle measurement programme-correlated number and gravimetrically-correlated mass in real-time. Particles can bypass collection systems, and therefore need to be assessed as they can interfere with downstream processes and have health implications. Based on the results, strategic mitigation methods can be devised for each condition/fuel combination. This will include evaluating the necessary measures to be taken to minimize impacts on flue gas cleaning, solvent-based carbon capture (to minimize degradation) and on CO2 stream treatment, transport and storage.

     

  • Self-funded PhD: Enabling Net Zero Emissions Targets through Post Combustion Capture (PCC) of CO2 Using Amine-based Emerging Technology

    Programme: 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.