The project's key objectives are to develop accurate 3D models of complex near surface soil formations and antenna design variants and so produce complete soil/system GPR models that can be used to assess and predict the performance of a GPR system.
This research project is investigating ways to increase the bio methane potential of food waste through a combination of laboratory and desk based studies. The aim being to increase sustainable heat, power and biofertiliser production through anaerobic digestion.
Carbon Capture and Storage (CCS) processes are the only option for decarbonising fossil fuel power plants at large scale. Co-gasification with biomass or waste with carbon capture can reduce the carbon dioxide emitted into the atmosphere at large stationary emission sources. The technology can also reduce the specific operating cost, and ensure fuel supply.
The project aims to advance the use of microchannels based cooling technology by solving major outstanding issues. Flow instabilities and maldistribution are identified as a major hurdle towards effective implementation of this technology to a variety of applications.
As part of a DETR funded PiT (Partners in Technology) project the BRE Centre for Fire Safety Engineering (previously the Structures in Fire Group) conducted extensive computational and analytical studies of the behaviour of steel-framed composite structures in fire conditions. This work was undertaken in collaboration with Corus PLC and Imperial College London. The results were presented in the form of a main report, which identified the main findings, together with numerous supplementary reports which explored various phenomena in detail. The reports produced at Edinburgh are available for download as indicated below.
We propose to develop and implement a genetic platform for optimizing blends of enzymes for biomass processing applications, using computational modeling, combinatorial gene assembly, expression control and high-throughput screening of gene cassettes from a library of genes in modular format. In addition to providing optimal enzyme blends for any given application, analysis of the results will allow us to develop heuristics which will facilitate rational design of biomass processing systems in the future, and will lead to a deeper understanding of biomass degradation processes.