The principal aim is to characterise the flow properties of dense granular systems. In particular, the influence of different particle-shape representation techniques in the Discrete Element Method (DEM) is assessed. Additionally, experiments in a silo centrifuge device to determine the bulk response of granular assemblies under realistic stress states are being carried out. This work is part of T-MAPPP (Training in Multiscale Analysis of multi-Phase Particulate Processes), an FP7 Marie Curie Initial Training Network (https://www.t-mappp.eu).
For granular materials with low thermal conductivity heat transfer occurs through interstitial gases as well as through physical contacts. Existing particle based models are ill suited to dense systems so a multi-scale approach has been used to correlate the local packing structure to the gas contribution to conductive heat transfer in dense granular systems.
As quality of life constantly improves, the average lifespan will continue to increase. The bad news is that tissue degradation due to wear and tear in an aged body is inevitable and is different from person to person. Fortunately recent advances in science and technology have enabled us to work towards personalised medicine. This project, by an interdisciplinary team from four different UK Universities (Liverpool, Heriot Watt, Durham and Edinburgh) with distinct areas of expertise, aims to predict patient-specific tissue quality which is essential in devising treatments plans. While our primary concern in this study is the bone tissue, the developed framework will apply to other tissues having porous or complex microstructure.
In recent years, experimental investigations have been performed on the effect on drag foul release coatings at the University of Newcastle in partnership with International Paint Ltd.
High spectral efficiency is the holy grail of wireless networks due to the well-known scarcity of radio spectrum. While up to recently there seemed to be no way out of the apparent end of the road in spectral efficiency growth, the emerging approach of Network Coding has cast new light in the spectral efficiency prospects of wireless networks [1]. Initial results have demonstrated that the use of network coding increases the spectral efficiency up to 50% [2, 3]. Such a significant performance gain is crucial for many important bandwidth-hungry applications such as broadband cellular systems, wireless sensor networks, underwater communication scenarios, etc.
Carbon emissions from fossil fuel combustion and change in land use are forcing a rapid increase in atmospheric CO2 levels leading to climate change. The initial implementation of plans to reduce the levels of CO2 is based on a combination of increased use of renewable energy and the implementation of carbon capture and storage from industrial sources and power plants on a wide scale.
Such actions are not sufficient for preventing the cross with the maximum limit CO2 concentration in atmosphere (550ppm), which is foreseen for 2060.
CO2 capture directly from the atmosphere (air capture) would provide an option to accelerate the correction and possibly reverse the trend in atmospheric CO2 concentrations.
Based on the negotiation meeting held in Brussels on 24th July 2013 under the 'Seventh Framework Programme for Research of the European Commission', ADEL's aim is to develop future heterogeneous wireless networks of higher capacity and energy efficiency thus setting the road-map for the adoption of spectrum flexible broadband wireless systems by 2020.
Smart grid engineers understand the power network that the smart grid is designed for and how to communicate and process data concerning the power grid, so that it can be controlled effectively.
The ITN (Initial Training Network) ADVANTAGE is a major inter-disciplinary and inter-sectoral project between power and communications engineering research and development communities. It will train the next generation of engineers and scientists, leading to the development of smart grid technology within Europe and internationally. This 4 year research programme is led and co-ordinated by the University of Edinburgh.
The energy supply sector is undergoing massive technological changes to reduce its greenhouse gas emissions. At the same time, the climate is progressively changing creating new challenges for energy generation, networks and demand. The Adaptation and Resilience in Energy Systems (ARIES) project aims to understand how climate change will affect the UK gas and electricity systems and in particular its 'resilience'.
