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349,591
2018-03-01 to 2019-06-30
Small Business Research Initiative
Traffic growth and congestion acts as a brake on economic growth, as well as exacerbating climate and health concerns in our towns and cities. Solving these issues in a sustainable manner requires best use of all available modes of transport. The railways should play a much greater role for movement of passengers and freight (particularly the rapid growth in ecommerce deliveries into urban areas), but the inflexible nature of today's rolling stock hinders the ability of the train operators to respond. Hence passenger trains may be overcrowded during the rush hour, but grossly under-utilised at other times of the day and night; holiday seasons create major logistical challenges due to lack of space for baggage; those with cycles and wheelchairs may struggle to find space on the train; and despite the exponential growth in white van traffic, the ability for parcel carriers to exploit spare capacity on passenger trains (as BR previously operated through its Red Star service) is constrained by any space for roll cages. To address these various challenges, 42 Technology has developed the Adaptable Carriage, a unique train passenger seat mounting system, which enables seats to be automatically folded and slid along the carriage sides. The technology behind the concept has been developed through funding by the Rail Safety and Standards Board (RSSB), as a winner of their “Tomorrow’s Train Design Today” Competition. Developed with input from stakeholder across the rail and logistics industries, a full-sized, prototype module of working Adaptable Carriage seating was publicly demonstrated at Railtex 2017 to prove technical feasibility. Analysis has shown that the UK rail industry could generate over £20Bn, and reduce carbon emissions by over 120 MTCO2e, per year though moving goods by excess passenger seat capacity instead of road. City centre to city centre journeys are typically 40% quicker by rail than road, and provide direct access to retailers and customers. To progress towards realising this opportunity, Innovate UK is helping to de-risk the first installation of the technology in a train carriage. Following successful testing and demonstration of the carriage, the opportunity exists to pilot the technology through synergies with the Flexible Freight programme being promoted by the rail industry Technical Strategy Leadership Group (TSLG).
81,098
2017-06-01 to 2019-11-30
Collaborative R&D
Innovative techniques for manufacture of materials, chemicals, food & fuel are needed in the face of a growing global population, climate change & depletion of fossil fuel resources. Biomanufacturing exploits biological systems to manufacture these products & is currently responsible for thousands of products across a range of sectors, including; food, animal feed, fuel, pharmaceuticals & cosmetics. However, for many bioprocesses scale-up & downstream processing costs are too large for commercial exploitation. This project aims to solve this by using innovative low cost, low energy acoustic techniques to replace energy intensive & expensive cell separation/extraction processes. This will result in a step change in many biomanufacturing processes, reducing energy requirements & processing costs. This enabling technology will have significant economic benefits to the UK biomanufacturing sector, making the commercial exploitation of biotechnology advances possible. The initial project focus in the manufacture of omega-3 oils from micro-algal biomass. There is a strong & growing market for omega-3 oils, which have been shown to have many health benefits such as reducing heart disease & symptoms of Alzheimer’s disease. Current omega-3s production is mainly from fish oils, which impact the environment & deplete fish stocks. Microalgae omega-3 is a vegetarian, environmentally friendly option with significant societal & environmental benefits. After the initial focus on micro-algal products, this acoustic separation/extraction platform will then be employed across different biomanufacturing sectors.
540,000
2017-06-01 to 2018-05-31
Small Business Research Initiative
TITLE: Triple Ohm: Distribution Substation Monitoring Improving distribution network management with smart substation condition monitoring ABSTRACT: The UK’s low voltage “distribution” network is owned and operated by a small number of companies called Distribution Network Operators (DNOs). These companies need to maintain very significant infrastructure that is required to ensure that electricity supply is continuously and perfectly matched to energy demand. Emerging social trends such as the widespread deployment of small scale solar installations, the adoption of electric vehicles and changing patterns of power generation is putting pressure on the existing infrastructure. In order to invest efficiently and hence minimise consumer bills, DNOs strive to upgrade, maintain and replace infrastructure only where required, seeking to make judgements about how close substations are to capacity limits. This project aims to develop and field test a secondary substation condition monitoring system that will enable DNOs to remotely monitor the performance, status and condition of their assets. The system will be based on a novel 3 phase metering technology that has previously been prototyped and patent protected by 42 Technology Ltd (42T), a product and innovation Services Company based near Cambridge and tested at the Power Networks Demonstration Centre near Glasgow and in the field. The system aims to improve on existing technologies by being significantly lower cost as well as offering high frequency analysis which enables analysis of harmonics, detection of incipient failure and potentially data disaggregation.
54,286
2017-03-01 to 2017-11-30
Feasibility Studies
42 Technology, a product design, R&D and technology development company is undertaking a feasibility study into the use of an innovative metering technology (which they previously developed and patented) to separate demand from various different electrical appliances at a single metering point. The information is expected to help householders to save up to 6% of the electricity bills and also reduce harmful CO2 emissions with a minimum amount of additional equipment. Specifically the project will demonstrate the ability of their technology to gather the rich data required and to distinguish between different appliances being used simultaneously. This may lead to new IP being created around the way the energy used by the different appliances is teased apart. For further information please contact www.42technology.com
49,634
2016-11-01 to 2017-01-31
Small Business Research Initiative
The UK’s low voltage “distribution” network is owned and operated by a small number of companies called Distribution Network Operators (DNOs). These companies need to maintain very significant infrastructure that is required to ensure that electricity supply is continuously and perfectly matched to energy demand. Emerging social trends such as the widespread deployment of small scale solar installations, the adoption of electric vehicles and changing patterns of power generation is putting pressure on the existing infrastructure. In order to invest efficiently and hence minimise consumer bills, DNOs strive to upgrade, maintain and replace infrastructure only where required, seeking to make judgements about how close substations are to capacity limits. This project aims to develop and field test a secondary substation condition monitoring system that will enable DNOs to remotely monitor the performance, status and condition of their assets. The system will be based on a novel 3 phase metering technology that has previously been prototyped and patent protected by 42 Technology Ltd (42T), a product and innovation Services Company based near Cambridge and tested at the Power Networks Demonstration Centre near Glasgow and in the field. The system aims to improve on existing technologies by being significantly lower cost as well as offering high frequency analysis which enables analysis of harmonics, detection of incipient failure and potentially data disaggregation.