TorqTidal seeks to provide control strategies for tidal current turbines that will reduce the risk of failure and increase the lifetime of device components without increasing capital costs. This will act to increase investor confidence and drive down the LCOE, which is a key step in helping the UK to exploit its significant tidal energy resource.
Nucleic hybridisation is core to many biological processes and protocols used in molecular biology such as nucleic acid amplification, e.g. by PCR. This project aims to radically simplify nucleic acid amplification by driving the reaction via means of electrochemistry. To fulfil this aim, specialised expertise in biosensors, physical chemistry, biophysics and microsystems engineering is brought together.
This project attempts to deal with the challenges associated with handling and storage of cohesive solids in the mining industry. An adhesive-frictional model has been recently developed for DEM simulation of cohesive particles at the University of Edinburgh. This project will exploit the new method for modelling cohesive particulates for specific problems, such as effect of fines in silo discharge and the effect of time consolidation.
Signal Processing is fundamental to the capability of all modern sensor weapon systems and the Defence Technology Strategy identified the development and application of signal processing techniques as high priority technical challenges within the MOD research agenda.
The UDRC is a leading partnership between industry, defence and is academia led and focuses on sensor signal processing for defence.
Running from October 2012 to September 2016, UP-VLC is an ambitious EPSRC-funded £4.6 million Programme Grant which will explore the transformative technology of communications in an imaginative and foresighted way.
The Vision of VELaSSCo is to provide new approaches for visual analysis of large-scale simulations for the Exabyte era. It does this by building on big data tools and architectures for the engineering and scientific community and by adopting new ways of in-situ processing for data analytics and hardware accelerated interactive visualization.
This Ph.D. aims to investigate the potential of filamentous green macroalgae (Chlorophyta) to bioremediate wastewaters. This will examine the ability of the macroalgae to sequester excess nutrients in effluent streams, as well as its biosorption and bioaccumulation capacity for heavy metals; with an end goal of using the biomass as a feedstock for bioenergy or for metal reclamation.
WindSurf aims to develop a core enabling technology - active blade pitching for a vertical axis wind turbine. This will allow wind turbines to operate in challenging wind conditions, to operate quietly and for new, lower maintenance turbine designs. WindSurf will open up new sites for wind energy: sites previously rejected because wind speeds were too low, variable or subject to swirling, or where noise nuisance would have been a concern. WindSurf will tackle all three parts of the energy trilemma: reducing emissions, increasing security of supply, and reducing cost.