Process modelling:

Process modelling

  • A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    Supervisor: Dr Y Wu, Prof M Pourkashanian,  Dr K Hughes  

    The project is aimed at developing an open expert system for the end user and also for the developer to carry out the risk analysis involved in systems utilizing upcoming new energy technologies.  This will also aid in the implementation of strategies to manage and minimize the risks involved. The system will incorporate the expert suites for risk assessment techniques and frameworks, as well as the codes/standards and numerical models to predict the consequences of fires, explosions and other accidents at data banks through the form of case studies.  The expert system will produce a societal index to aid the decision making process on the energy systems’ safety, security level, operability and resilience.

     

  • A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    Process Optimization of Liquid Fuel Synthesis From Renewable Energy Sources

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

    Demand for energy supply in the present global environment is continuously increasing with the growth of population and economic development. This poses problems both in terms of sustainability and carbon emissions. Standard approaches to CO2 capture and storage impose a cost that discourages their implementation. This project proposes to investigate an alternative which is the conversion of CO2 with hydrogen into a commercially valuable liquid fuel. The gPROMs and ASPEN process modelling packages will be used to investigate the overall system performance and economics of various plant configurations, and propose optimal configurations for these systems.

     

  • A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    Dynamic simulation of load-following power plants integrated with CO2 capture technologies

    Supervisor: Professor Mohamed Pourkashanian, Dr Kevin Hughes, Professor Lin Ma and Dr Maria Elena Diego de Paz

    Flexible operation of fossil fuel power plants is becoming a hot topic in the energy generation sector due to the expected increase of intrinsically intermittent renewable technologies in the energy mix in the near future. This flexible operation mode of the energy systems is challenging, especially when these plants are coupled to CO2 capture technologies. This study aims at investigating the dynamic behavior of natural gas fired power plants integrated with a post-combustion amine CO2 capture system, using process simulation tools such as Aspen Hysys and/or gCCS (gPROMS). The performance of the whole system will be assessed under dynamic conditions. Different integration options between the power plant and the capture system will be studied and analysed from a techno-economic perspective.

     

  • A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    Analysis of post-combustion CO2 capture from natural gas power plants using CFD and process co-simulation

    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.

     

  • A Societal Index Model for the Assessment of the Safety, Operability and Resilience level of Regional Mini Energy Grid

    Process modelling of biomass gasification systems integrated with CO2 capture

    Supervisor: Professor Mohamed Pourkashanian, Dr Kevin Hughes, Professor Lin Ma and Dr Maria Elena Diego de Paz

     

    Combination of energy generation from biomass sources and CO2 capture technologies (Bio-CCS or BECCS) is already recognized as a potential option to tackle climate change in most scenarios, as it is linked to the concept of negative CO2 emissions. This project will use process simulation tools such as Aspen Hysys or gCCS (gPROMS) to investigate these systems. A complete and rigorous model will be created and run for the gasification system, considering a range of biomass sources (including wastes) with different composition as raw materials. Several CO2 capture technologies will be then simulated and coupled to the gasification system (e.g., amines, Rectisol process, VSA, etc.) incorporating the latest advancements. A techno-economic analysis will be conducted and these options will be compared in terms of capture performance, energy consumption and cost.