Process simulation

The following are some of the projects that we can offer:

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Dynamic simulation of power generation plant for carbon capture and storage

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

The new generation of power plants should offer effective solutions to reduce emissions and implement CO2 capture and storage. However, the combination of a complex fuel-processing plant and the level of integration lead to challenging problems with respect to the dynamic/transient operation. In addition, electricity market demands require more flexible controlling of the power plant output. These operation specifications can be satisfied by proper design of the process, its equipment and control system. A dynamic model of the entire system is an advantageous tool to test the effect of different process configurations and different control strategies. For carbon capture, an oxygen-rich oxidant is used, which requires an air separation unit for oxygen generation. Power generation plant options are Integrated Gasification Combined Cycle (IGCC) and Oxyfuel combustion.

For further information please contact Professor Derek B Ingham

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Novel gas turbine configurations for carbon capture

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

Natural gas will play a significant role in the future energy mix. Natural gas combined cycle (NGCC) power plants produce around half the emissions of advanced coal-fired power plants. However, even if natural gas is used to replace all coal consumption, the reduced emissions would not meet the global reduction targets set by the Intergovernmental Panel on Climate Change. Therefore, NGCC with post-combustion CO2 capture can have a benefit in the next-generation power systems. One key challenge of integrating carbon capture with an NGCC power plant is that the plant efficiency is reduced by about 15%. As a result, novel configurations are needed to increase the plant efficiency and power output of the system. Some options are exhaust gas recirculation (EGR), Humid Air Turbine (HAT), steam and water injection, and hybrid systems. These configurations can be assessed by simulation software tools to identify technical advantages of the proposed modifications.

For further information please contact Professor Derek B Ingham

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Carbon capture from gas turbines

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

Natural gas is seen as cleaner than other fossil fuels and will continue to have an essential role in the energy mix of the future, particularly in the UK. There are however stringent CO2 emission reduction targets in place and therefore the carbon intensity of energy generation from all sources needs to be considerably reduced, predominantly from fossil fuel sources. Gas turbines already generate relatively low levels of CO2, but coupled with post-combustion carbon capture and storage (CCS), they will be an integral technology for the UK to meet such environmental legislation. Design improvements on both the power generation side and capture plant side however will be required to optimise this process and their integration, as well as to enhance the overall system efficiency. After a review of pertinent literature, this project will initially consist of modelling the gas turbine at the UKCCSRC National Research Facilities – PACT (www.pact.ac.uk). To improve plant performance, selective exhaust gas recycling will also be modelled – this involves selectively recirculating the CO2 separated from the flue gases back into the compressor inlet. The flue gases are passed through a membrane to separate out the CO2 from the other exhaust components. Comparative studies with conventional flue gas recycling (no CO2 separation) can be conducted. Aspen Plus will be used to facilitate this work and accomplish the project aims, which can be validated using the baseline experimental data already acquired for the gas turbine in question.

For further information please contact Professor Derek B Ingham

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Negative CO2 Emissions Through Combining Bio-Energy And Carbon Capture

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

Stringent CO2 emission reduction targets that are now in effect mean that the carbon intensity of energy generation from all sources needs to be considerably reduced in order to meet such goals. The use of biomass fuels – either dedicated biomass firing or co-firing with fossil fuels, such as coal – can considerably minimise the net CO2 emissions to atmosphere from conventional energy generation processes, i.e. combustion. Coupling biomass utilisation with carbon capture and storage (CCS) technologies could mean the CO2 emissions from such forms of energy production are further reduced and even have the potential to lead to zero or negative emissions. This project will aim to compare different fuel resources (coal, wood chips and co-firing these two fuels) in terms of their carbon intensity and techno-economics, when used with and without CCS applications. A large-scale power facility will be modelled using the IECM and Aspen packages to achieve the project objectives, with input data and other parameters being acquired from the literature review conducted.

For further information please contact Professor Derek B Ingham

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Amine solvent degradation in CO2 capture

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

CO2 capture and storage is believed to be a promising option for controlling CO2 emissions in the short to medium term. Several methods exist for CO2 capture, with amine capture being the most promising commercial technology at the present time. In this method, a series of degradation products with possible impact to the environment and human health may be formed. These substances may have a wide range of chemical characteristics, such as high pKa, low pKa, polar substituents, multifunctional and mono functional groups. The goal of this project is to measure these species by various experimental techniques, and develop chemical kinetic and physical models that predict the degradation and emission of these substances within the amine capture plant, and additionally predict their atmospheric fate. This will make use of the UKCCSRC PACT facilities to provide experimental data from a pilot scale amine capture plant.

For further information please contact Professor Derek B Ingham

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Oxyfuel Combustion plant – CCS; experiment and modelling

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

This project will combine an experimental and modelling study of an oxyfuel combustion plant with CCS. A 250 kW pulverised coal/biomass burner operating under air or oxy-fired conditions is connected to a post combustion amine capture plant to remove CO2 from the exhaust gas stream, and the efficiency of this as a function of operating conditions will be investigated. This will be complemented by process simulation with the gPROMS or ASPEN software package to investigate the overall system performance and economics.

For further information please contact Professor Derek B Ingham

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Modelling post combustion amine CO2 capture plant

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

Carbon Capture and Storage (CCS) is an emerging near-zero emission technology that can applied to next generation gas turbine based power stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in a amine plant. Plant process simulation software packages, such as gPROMs and Aspen will be employed with some complementary experimental investigations. The outcome from the project may be used in assisting future CCS power plant design optimisation.

For further information please contact Professor Derek B Ingham

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Modelling gas turbine based power generation system incorporating CCS technology

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

Carbon Capture and Storage (CCS) is an emerging near-zero emission technology that can applied to next generation gas turbine based power stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance and/or techno‐economic assessment tools for simulating gas turbine based power generation system employing different CCS technologies. Plant process simulation software packages, such as the gPROMs and Aspen will be employed with some complementary experimental investigations. The outcome from the project may be used in assisting future CCS power plant design optimisation.

For further information please contact Professor Derek B Ingham

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Future electrical power generation system integration and control

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

With the projected increase in the contributions from renewable energy to the power generation mix in the foreseeable future, a new control strategy of power generation and supply need to be investigated to mitigate the impact of the uncertainties of renewable power sources. The research will be focused on how best to match the power generation from a network consisting of renewable (usually fluctuating), nuclear and the conventional fossil fuel based power generations to the fluctuating electricity demand in a large scale. The research will be mainly modelling based, integrated and supported by measurements.

For further information please contact Professor Derek B Ingham

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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.

For further information please contact Professor Derek B Ingham

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Advanced process modelling of AD

Supervisor: Professor Mohamed Pourkashanian, Dr W Nimmo and Professor Lin Ma

The AD group in is currently working at the state of the art in terms of the biochemical and physiochemical modelling of AD. The aim of this project would be to enhance this further by drawing upon other modelling expertise specifically in computational fluid dynamics (CFD). Such a combined approach can give greater insight into the process and allow design and process optimisation. This project will focus on a variety of strategies and design interventions that can increase the robustness of the AD process and will use a combination of modelling and experimental work to investigate and optimise these

For further information please contact Professor Derek B Ingham

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