The emission of carbon dioxide into the atmosphere has caused huge concerns around the world, in particular because it is widely believed that the increase in its concentration in the atmosphere is a key driver of climate change. If the current trend in the release of carbon dioxide continues, global temperatures are predicted to increase by more than 4 degrees centigrade, which would be disastrous for the world. With the increase in world population, the energy demand is also increasing. Coal-fired and gas-fired power plants still play a central role in meeting this energy demand for the foreseeable future, even though the share of renewable energy is increasing. These power plants are the largest stationary sources of carbon dioxide. Carbon capture is a technique to capture the carbon dioxide that is emitted in the flue gas from these power plants. This proposal seeks to make a significant improvement in the methods used for carbon capture in order to reduce the total costs. Post-combustion CO2 capture by chemical absorption using solvents (for example, monoethanolamine - MEA) is one of the most mature technologies. The conventional technology uses large packed columns. The cost to build and run the capture plants for power plants is currently very high because: (1) the packed columns are very large in size; (2) the amount of steam consumed to regenerate solvents for recirculation is significant. If we can manage to reduce the size of packed columns and the steam consumption, then the cost of carbon capture will be reduced correspondingly. From our previous studies, we found that mass transfer in the conventional packed columns used for carbon capture is very poor. This proposed research is expected to make very significant improvements in mass transfer. The key idea is to rotate the packed column so that it spins at hundreds of times per minute - a so-called rotating packed bed (RPB). A better mass transfer will be generated inside the RPB due to higher contact area. With an intensified capture process, a higher concentration of solvent can be used (for example 70 wt% MEA) and the quantity of recirculating solvent between intensified absorber and stripper will be reduced to around 40%. Our initial analysis has been published in an international leading journal and it indicates that the packing volume in an RPB will be less than 10% of an equivalent conventional packed column. This proposal will investigate how to design and operate the RPB in order to separate carbon dioxide most efficiently from flue gas. The work will include design of new experimental rigs, experimental study, process modelling and simulation, system integration, scale-up of intensified absorber and stripper, process optimisation, comparison between intensified capture process and conventional capture process from technical, economical and environmental points of view. The research will include an investigation into the optimum flow directions for the solvent and flue gas stream (parallel flow or counter-current) for intensified absorber and the optimum design of packing inside the RPB. The proposal will also compare the whole system performance using process intensification vs using conventional packed column for a CCGT power plant. Based on this, an economic analysis will be carried out to quantify the savings provided by this new process intensification technology.

To achieve the UK's ambitious target of reducing greenhouse gas emissions by 80% by 2050 without compromising energy security, the UK's conventional power plants must be operated in a flexible manner in terms of high efficiency, using alternative fuels (e.g. biomass) and integrating technologies for carbon abatement (e.g. Carbon Capture and Storage, CCS). Major reviews conducted by International Energy Agency in 2013 on the current status of the most advanced solid fuel-based conventional power generation technologies clearly show that ultra-supercritical (USC) steam Rankine cycle power generation combined with Circulating Fluidized Bed (CFB) combustion technology is the most viable alternative to the pulverised coal (PC)-based USC power generation. In addition, USC/CFB has a number of advantages over USC/PC, particularly regarding fuel flexibility. However, there are still many fundamental research and technical challenges facing the development of USC-CFB technology. In particular, combustion issues related to safe and stable operation of CFB boilers when burning a variety of solid fuels are not yet fully understood and there is a great need to develop novel materials that will be able to cope with adverse conditions associated with USC/CFB operations. This consortium brings together internationally recognised research experts from Universities of Leeds, Nottingham and Warwick in the fields of conventional power generation, fluidized bed combustion, power plant materials, modelling and control with the strong supports of industrial partners in Alstom, Doosan Babcock, Foster Wheeler and E.ON and its international academic partner - Tsinghua University. The project proposed aims to maximize the benefits of USC/CFB in terms of power generation efficiency, fuel flexibility including biomass and integration with CO2 capture by conducting research that addresses the key challenges in combustion, materials and modelling. The specific project objectives are: (1) To understand how the combustion of a variety of fuels affects bed material agglomeration, fouling and corrosion of boiler heat exchanger tubes and emissions (2) To understand the influence of the hostile conditions in USC/CFB in terms of creep and oxidation/corrosion resistance on ferritic, austenitic and Ni-based materials and to use the knowledge gained to develop coatings, enablng these materials to withstand the higher temperatures and pressures (3) To investigate the additional impacts on combustion, emissions and materials when a USC/CFB is operating in the oxy-fuel combustion mode (4) To develop a whole USC/CFB power plant dynamic model and to use the model to study optimal process operation strategies for higher efficiencies and better fuel flexibility To achieve the proposed research aim and objectives and address the fundamental challenges, four inter-connected work packages composed of experimental and modelling studies will be completed: (1) WP1 - Investigating CFB combustion issues through combustion tests at laboratory- and pilot-scales (2) WP2 - Evaluating hostile conditions of USC/CFB on candidate materials (3) WP3 - Development of surface engineered coatings & mechanical testing of coated alloys (4) wp4 - USC/CFB system modelling

This research project addresses the process industry contribution to the UK government goals of tackling climate change and reducing dependence on imported fuel. This programme fills these nationally important objectives by investigating the short, medium and long-term provision of energy for the UK, based on thermal technologies that exploit low grade process heat that is currently not recovered by this industry. The results of this 'Whole Systems Analysis research will improve plant efficiency and displace a significant fraction of fossil fuel use, thus reducing UK carbon dioxide emissions, by using techniques that are secure, clean, affordable and socially welcome. This research involves collaboration between several highly relevant industrial partners (e.g. Corus Ltd, North East Process Industry Cluster (NEPIC) Ltd, EON UK, Veolia (Sheffield Heat & Power Ltd), Pfizer Ltd, etc) and four internationally leading academic centres of excellence (Universities of Sheffield, Newcastle, Manchester & Tyndall Centre). The research programme targets a national problem by exploiting their complementary expertise through Whole Systems Analysis . Thus the objective of this research proposal is to investigate new and appropriate technologies and strategies needed for industry to exploit the large amount of unused low grade heat available. This will be achieved by providing a systematic procedure based on a comprehensive analysis of all aspects of process viability that will enable industry to optimise the management and exploitation of their thermal energy. This detailed procedure will be backed up by a sustained channel of communication between the relevant industrial and academic parties. This multidisciplinary work is thus applicable both to existing plants and the design of future plants. Please note that the establishment of an associated but separately funded EPSRC Network (e.g. PRO-TEM) is considered to be an integral part of this project, in order to satisfy the implicit role of technology transfer in both directions, between the process industry and the wider academic community. It will also provide access to industrial players who will provide essential case studies for the technical and socio-economic work. The case for an associated PRO-TEM Network is briefly discussed herein and the case is presented in detail in a separate proposal by Newcastle University.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

The increasing amounts of renewable energy present on the national grid reduce C02 emissions caused by electrical power but they fit into an electrical grid designed for fossil fuels. Fossil fuels can be turned on and off at will and so are very good at matching variations in load. Renewable energy in the form of wind turbines is more variable (although that variability is much more predictable than most people think) and there is a need for existing power plants to operate much more flexibly to accommodate the changing power output from wind, tidal and solar power. This work brings together five leading Universities in the UK and a number of industrial partners to make conventional power plants more flexible. The research covers a wide range of activities from detailed analysis of power station parts to determine how they will respond to large changes in load all the way up to modelling of the UK electrical network on a national level which informs us as to the load changes which conventional power plants will need to supply. The research work is divided up into a number of "workpackages" for which each University is responsible together they contribute to four major themes in the proposal: Maintaining Plant Efficiency, Improving Plant Flexibility, Increasing Fuel Flexibility and Delivering Sustainability. Cambridge University will be conducting research into wet steam methods. Water is used as the working fluid in power plant as it has excellent heat transfer properties. However in the cold end of power extraction turbine the steam starts to condense into water and droplets form this is especially a problem at part load. The work at Cambridge will allow this process to be predicted better and lead to better designs. Durham University will contribute two different work packages: modelling work of the entire UK power system and the introduction of the world's first dynamically controlled clearance seal. The modelling work will enable the requirements for plant flexibility to be determined accurately. The dynamic seal developed in conjunction with a major UK manufacturer will allow the turbine to maintain performance as the load varies. Oxford University - Improved Heat Transfer Methods for Turbine Design. The output from this work will be a highly accurate coupled fluid flow and heat transfer calculations that will enable designers to better predict the thermal transients inside power stations. Leeds and Edinburgh University will lead work on increasing the use of biomass fuels. The modelling work at Leeds will allow plant operators to devise suitable measures to minimise the environmental impact of burning biomass. Leeds and Edinburgh University will contribute the development of a Virtual Power Plant Simulation Tool This work acts as a bridge between the different project partners as inputs from the models produced at Durham, Cambridge, Oxford and Leeds are combined. This tool based on the latest research findings can be used to optimize transient operations such as fast start-up and load following as wind turbine output varies.