Brunel University London is a public research university located in Uxbridge, London, United Kingdom. It was founded in 1966 and is named after the Victorian engineer Isambard Kingdom Brunel.Brunel is a campus university located on the outskirts of Uxbridge. It is organised into 3 colleges and three major research institutes, a structure adopted in August 2014 which also saw its name officially changed to Brunel University London. Brunel has around 15,200 full-time students and 2,500 staff and had a total income of £178.5 million in 2010/11, of which £14.8 million came from research grants and contracts. In 1957 Brunel College of Technology separated from Acton Technical College with a focus on the education of engineers. Brunel College of Technology was awarded the status of College of Advanced Technology in 1960 and became Brunel College of Advanced Technology in 1962. In June 1966 Brunel College of Advanced Technology was awarded a Royal Charter and became Brunel University London. It is sometimes described as a British "plate glass university".Brunel is a member of the Association of Commonwealth Universities, the European University Association and Universities UK. Wikipedia.
Brunel University | Date: 2017-04-19
The present invention provides a fluid dynamic body (1) having a trailing edge (10) with a pattern (12) formed thereon, the pattern(12) comprising a plurality of smoothly surfaced adjacent members (14) with respective interstices (16) there between, wherein at least one of the interstices (16) completely contains a porous barrier(18), the porous barrier (18) obstructing fluid flow through the respective interstice (16) between a first surface (101) of the fluid dynamic body (1) on a first side of the trailing edge (10) and a second surface (102) of the fluid dynamic body (1) on a second side of the trailing edge(10). This helps to reduce noise produced at the trailing edge. Preferably, the fluid dynamic body is a wind turbine blade or an aero- engine blade. The present invention also provides a method of manufacturing any such fluid dynamic body.
Twi Ltd., Centexbel, Brunel University, Bonar N.V., Centitvc Center For Nanotechnology And Smart Materials, LINDSTRAND TECHNOLOGIES Ltd, Ohmatex ApS, Sefar AG, VdS Weaving N.V., Peerless Plastics and Coatings Ltd | Date: 2017-05-17
A wire shaped coaxial photovoltaic solar cell comprising: a conductive core wire shaped support (401), a nanostructured semiconductor scaffold layer (402), one or more successive perovskite layers (403), an optionally provided hole transporting material layer (404), an outer conductor layer (405), an outer protective layer (406), characterized in that said outer conductor layer (405) comprises dispersed nanoparticles and said perovskite layers (403) are composed identically or wherein two or more of said layers have a different molecular structure and/or composition. The invention also relates to methods and apparatus for the fabrication of said wire shaped coaxial photovoltaic solar cell.
Brunel University | Date: 2017-01-18
A medical balloon for a balloon pump is disclosed. The medical balloon has a first end and a second end and a port at one of the ends for engaging a catheter for receiving an inflation fluid into the balloon. The balloon has one or more exterior walls defining, when the balloon is inflated at substantially a standard operating pressure, a taper along at least a part of the length of the balloon. The taper has two or more consecutive tapering sections, each tapering section having a different, substantially constant, angle of tapering. The balloon is substantially asymmetrical about a mid-point between the first and second ends when inflated.
Brunel University | Date: 2017-07-12
A casting Al-Mg-Zn-Si based aluminium alloy material for providing improved mechanical performance, includes the following components: greater than 7.0 and up to 15.0wt-% of magnesium, greater than 1.8 and up to 7.0wt-% of zinc, greater than 1.5 and up to 5.0wt-% of silicon, from 0.05 to 2.0wt-% of manganese, and additionally at least one element from 0 to 0.5 wt-% beryllium, 0 to 2. wt-% calcium, 0 to 1.5 wt-% strontium, 0 to 1.0wt-% titanium, 0 to 1.5wt-% copper, 0 to 0.5wt-% boron, 0 to 1.0wt-% scandium and 0 to 2.0wt-% rare earth elements, and the reminder of the alloy is aluminium and inevitable impurities.1
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WATER-1b-2015 | Award Amount: 8.77M | Year: 2016
INTCATCH will instigate a paradigm shift in the monitoring and management of surface water quality that is fit for global waters in the period 2020-2050. INTCATCH will do this by developing efficient, user-friendly water monitoring strategies and systems based on innovative technologies that will provide real time data for important parameters, moving towards SMART Rivers. The business model will transform water governance by facilitating sustainable water quality management by community groups and NGOs using a clouds data linked to a decision support system and eco-innovative technologies. The INTCATCH project will use demonstration activities to showcase eco-innovative autonomous and radio controlled boats, sensors, DNA test kits and run-off treatment technologies. Actions which develop and evaluate these in a range of catchments will address the important innovation barriers to uptake, notably, a lack of knowledge of new technologies and their capabilities, identified by the European Innovation Plan (EIP) on water. By conceptually moving the laboratory to the field, the monitoring techniques that will be developed aim to supersede the inefficient, time dependent, costly and labour-intensive routine sampling and analysis procedures currently deployed to understand the quality of receiving waters. It will compliment routine monitoring that is required for baseline datasets, but also enable cost-effective impact and management investigations. INTCATCH will incentivise stakeholder innovation in monitoring and will facilitate new financing for innovation through its innovative franchise business model and empowerment of community groups and NGOs. The market ambition is that the INTCATCH business will facilitate an eco-innovative approach to deliver good quality water bodies across Europe and beyond. This will support green growth, increase resilience to climate change and capture greater market-share for Europes innovative industries.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-20-2015 | Award Amount: 6.43M | Year: 2016
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-06-2016 | Award Amount: 4.24M | Year: 2017
SMEs and public sector organizations increasingly investigate the possibilities to use cloud computing services in their everyday business conduct. Accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings due to more efficient and convenient resource utilization that also replaces large investment costs with long term operational costs. On the other hand, the take up of cloud computing by SMEs and the public sector is still relatively low due to limited application-level flexibility and also security concerns. The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by the above mentioned two strategic target communities. Typical industry and public sector applications require resource scalability and efficient resource utilization in order to serve a variable number of customers with dynamic resource demands, and to suitably optimize resource consumption and costs. However, the dynamic and intelligent utilization of cloud infrastructure resources from the perspective of cloud applications is not trivial. Although there have been several efforts to support the intelligent and coordinated deployment, and to a smaller extent also the run-time orchestration of cloud applications, no comprehensive solution has emerged until now that could be applied in large scale near operational level industry trials. The overall objective of the COLA project is that by building on and extending current research results, it will define and provide a reference implementation of a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA will demonstrate the applicability and impact of the solution via large scale near operational level SME and public sector pilots and demonstrators, and will also define a clear pathway how the innovation can be delivered to the market.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WATER-1b-2015 | Award Amount: 9.77M | Year: 2016
SMART-Plant will scale-up in real environment eco-innovative and energy-efficient solutions to renovate existing wastewater treatment plants and close the circular value chain by applying low-carbon techniques to recover materials that are otherwise lost. 7\2 pilot systems will be optimized fore > 2 years in real environment in 5 municipal water treatment plants, inclunding also 2 post-processing facilities. The systems will be authomatisedwith the aim of optimizing wastewater treatment, resource recovery, energy-efficiency and reduction of greenhouse emissions. A comprehensive SMART portfolio comprising biopolymers, cellulose, fertilizersand intermediates will be recoveredand processed up to the final commercializable end-products. The integration of resource recovery assets to system-wide asset management programs will be evaluated in each site following the resource recovery paradigm for the wastewater treatment plant of the future, enabled through SMART-Plant solutions. The project will prove the feasibility of circular management of urban wastewater and environmental sustainability of the systems, to be demonstrated through Life Cycle Assessment and Life Cycle Costing approaches to prove the global benefit of the scaled-up water solutions. Dynamic modeling and superstructure framework for decision support will be developed and validated to identify the optimum SMART-Plant system integration options for recovered resources and technologies.Global market deployment will be achieved as right fit solution for water utilities and relevant industrial stakeholders, considering the strategic implications of the resource recovery paradigm in case of both public and private water management. New public-private partnership models will be explored connecting the water sector to the chemical industry and its downstream segments such asthe contruction and agricultural sector, thus generating new opportunities for funding, as well as potential public-private competition.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FOF-03-2016 | Award Amount: 6.04M | Year: 2016
Manufacturing represents approximately 21 % of the EUs GDP and 20 % of its employment, providing more than 30 million jobs in 230 000 enterprises, mostly SMEs. Moreover, each job in industry is considered to be linked to two more in related services. European manufacturing is also a dominant element in international trade, leading the world in areas such as automotive, machinery and agricultural engineering. Already threatened by both the lower-wage economies and other high-tech rivals, the situation of EU companies was even made more difficult by the downturn. The Z-Fact0r consortium has conducted an extensive state-of-the-art research (see section 1.4) and realised that although a number of activities (see section 1.3) have been trying to address the need for zero-defect manufacturing, still there is a vast business opportunity for innovative, high-ROI (Return on Investment) solutions to ensure, better quality and higher productivity in the European manufacturing industries. The Z-Fact0r solution comprises the introduction of five (5) multi-stage production-based strategies targeting (i) the early detection of the defect (Z-DETECT), (ii) the prediction of the defect generation (Z-PREDICT), (iii) the prevention of defect generation by recalibrating the production line (multi-stage), as well as defect propagation in later stages of the production (Z-PREVENT), (iv) the reworking/remanufacturing of the product, if this is possible, using additive and subtractive manufacturing techniques (Z-REPAIR) and (v) the management of the aforementioned strategies through event modelling, KPI (key performance indicators) monitoring and real-time decision support (Z-MANAGE). To do that we have brought together a total of thirteen (13) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the EU manufacturing.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 967.50K | Year: 2017
The GREENDC proposal contribute to greener data centres by developing a decision support tool that help data centre managers predict energy demands better and evaluate strategies to minimize energy waste and minimize CO2 emissions. GREENDC adopt non-linear energy forecasting model and provide a simulation tool based on dynamic simulation model to allow data centre managers conduct what-if analysis considering factors for energy demands and supply. GREENDC is implemented through knowledge exchange between two academic partners and two industrial partners. Academic partners transfer knowledge on non-linear energy demand forecasting and dynamic simulation to industrial partners while industrial partners transfer their knowledge on data centre operations through secondment activities. The outcome of the GREENDC activities are expected to reduce CO2 emissions and energy waste due to non-optimised energy load balancing from large number of data centres across the Europe.