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PolyWEC: New mechanisms and concepts for exploiting electroactive Polymers for Wave Energy Conversion |
Professor David Ingram
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Energy Systems |
Wave energy has a great potential as renewable source of electricity. Studies have demonstrated that significant percentage of world electricity could be produced by Wave Energy Converters (WECs). However electricity generation from waves still lacks of spreading because the combination of harsh environment and form of energy makes the technical development of cost effective WECs particularly difficult.
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TEDDINET: Network of (Build) TEDDI projects |
Professor Gareth Harrison
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Energy Systems |
Established in September 2013 and funded for four years, TEDDINET is a research network examining the interactions of people with digital technologies and the potential for smart metering to transform energy demand in the home and at work. TEDDINET’s primary purpose is to create added value and enhance the impact of 22 individual research projects funded under the ‘Transforming Energy Demand through Digital Innovation’ (TEDDI) and ‘Transforming Energy Demand in Buildings through Digital Innovation’ (BuildTEDDI) programmes. Sponsored by the UK Engineering and Physical Sciences Research Council (EPSRC), these 22 projects encompass 26 (UK) universities, 75 partners from industry and the housing sector, and over 200 researchers from engineering, informatics, design and social sciences.
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Land of the MUSCos |
Professor Gareth Harrison
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Energy Systems |
Present infrastructure service delivery, characterized by isolated supply streams for an uncontrolled demand, is uneconomical, inefficient, and ultimately unsustainable. What kinds of alternatives can be identified and implemented? In this project, we research and promote the establishment of Multi-Utility Service Companies, or MUSCos.
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ARIES: Adaptation and Resilience in Energy Systems |
Professor Gareth Harrison
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Energy Systems |
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'.
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GREENNET An early stage training network in enabling technologies for GREEN radio |
Professor Harald Haas
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Imaging, Data and Communications |
Greenet is an Initial Training Network (ITN) Marie Curie project that is focused on the analysis, design, and optimization of energy efficient wireless communication systems and networks.
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Tackling the looming spectrum crisis in Wireless Communication |
Professor Harald Haas
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Imaging, Data and Communications |
The proposed work in this EPSRC Fellowship is aimed at providing radical new solutions to this fundamental and far reaching challenge. A key pillar of the proposed work is the extension of the RF spectrum to include the infrared as well as the visible light spectra. The recent advancements in light emitting diode (LED) device technology now seems to let the vision of using light for high speed wireless communications become a reality.
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Optical Free-Space Backhaul and Power for Energy Autonomous Small Cells |
Professor Harald Haas
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Imaging, Data and Communications |
The central aim of the project is the design of a novel simple structure for a communication base station. Its operation will be based on off-the-shelf optical components such as white LEDs, laser-diodes and photo-diodes.
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Robust Repeatable Respiratory Monitoring in EIT |
Professor Hugh McCann
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Imaging, Data and Communications |
The project aims at developing a new electrical impedance tomography (EIT) device for medical use. This device, called ReMEIT, should enable 3D absolute conductivity image reconstruction. To achieve this goal the project intends to capture the exact positions of the measuring electrodes and the exact thoracic shape using an optical shape capture device. These are absolutely novel approaches in EIT imaging that, if successful, could represent an immense progress in EIT research and a big step towards reliable clinical use of this technology. The project partners not only plan to develop the device but they also propose a strategy for its validation under invivo conditions. At first, healthy volunteers with no history of lung disease will be examined by ReMEIT and, later, the EIT device will be applied in critically ill patients suffering from various pulmonary diseases. In the former case, reference data will be obtained by magnetic resonance imaging (MRI), in the latter one, routine chest X-ray, computed tomography (CT)and MRI data will be utilised.
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IFPRI Grindability Project: modelling, measurement and mill fingerprinting |
Prof. Jin Ooi
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Infrastructure and Environment |
This project aims to develop a robust methodology to characterise the grindability of particulate products in milling operations which will in turn provide a step-change in mill fingerprinting and optimisation. This involves developing a “grindability test” to measure the comminution characteristics of the particulates which, when coupled with the computational modelling work to characterise the milling function, will evaluate the milling performance measures including energy utilisation, breakage kernels for scale-up modelling such as population balance model of the mill.
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A multi-scale approach to characterising fluid contribution to conductive heat transfer in dense granular systems |
Prof. Jin Ooi
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Infrastructure and Environment |
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.
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