Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma and Dr Kevin Hughes and Prof Ingham
This project aims to combine computational fluid dynamics, chemical process modelling and virtual system simulation techniques to develop a dynamic modelling tool for power plant performance simulations. The developed tool can be employed to investigate the integration of new technologies to the power plant, to optimise the control of the plant performance under high renewable penetration conditions and to improve power plant staff training and education.
Supervisor: Professor Mohamed Pourkashanian, Dr Kevin Hughes, Professor Lin Ma and Dr Maria Elena Diego de Paz
The use of natural gas as a fuel for electricity production is expected to gradually increase in the next decades. Since it is acknowledged that large CO2 emission cuts should be achieved in the near future, it seems plausible that these systems may have to be coupled to CO2 capture schemes. This research project focuses on combining computational fluid dynamics (CFD) and process simulation tools to study in detail the performance of an amine capture post-combustion plant coupled to a natural gas combined cycle (NGCC) power plant using the synergetic combination between Ansys Fluent and Aspen Hysys/gCCS (gPROMS) modelling tools. The idea is to replace the typical absorber and stripper blocks present in the process simulation flowsheet by more detail-designed units built using CFD tools. This will allow for a more accurate description of the system and better characterization of the performance of the key units of the capture process. Several NGCC variants will be studied and analyzed following this procedure, including conventional NGCC plants and those incorporating exhaust gas recirculation (EGR) and selective exhaust gas recirculation (S-EGR) options. This is part of research activities that include virtual reality power industry plant simulation.
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.