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Application by transport industry of advanced control algorithms for fast mechanical systems

Summary of the impact

The application of advanced control algorithms has generated an impact on the economy and the environment through increased precision and reduced cost of operation of fast mechanical systems. A reduction in fuel consumption and CO2 emissions has been achieved in the transportation industry by the implementation of novel advanced control algorithms for advanced cruise control systems.

Submitting Institution

Kingston University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Numerical and Computational Mathematics
Information and Computing Sciences: Computation Theory and Mathematics

Distance sampling surveys: enabling better decision-making by wildlife managers

Summary of the impact

Reliable estimates of the size of natural populations are required by national and regional governments for management and conservation, by international commissions that manage natural resources, and by NGOs. Distance sampling, in which distances of animals from a line or point are sampled, is the most widely-applicable technique for obtaining such estimates. Statisticians at St Andrews are the acknowledged world-leaders in the development and dissemination of distance sampling survey methods. Their software Distance is the industry standard and has over 30,000 registered users from around 115 countries. The methodological developments and associated software have allowed better-informed decisions to be made in the management and conservation of populations as diverse as whales, seals, fish, elephants, apes, deer, birds, ants, trees and flowering plants.

Submitting Institution

University of St Andrews

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics

Impact of the HELIUM Code on UK Government Procurement and Provision of National High-Performance Computing Facility HECToR

Summary of the impact

The High Performance Computing (HPC) application code HELIUM, developed at Queen's University Belfast to assist the development of attosecond technology, has impacted on the provision of public services through guiding procurement and acceptance testing of the high-performance computer facility HECToR. This facility was funded by UK Government with a total expenditure of £113M during 2007 - 2013. The HELIUM code was used for procurement and acceptance testing for the initial HECToR service in 2007 (Phase 1, 11k cores), and its upgrades in 2009 (Phase 2a, 22k cores), 2010 (Phase 2b, 44k cores) and 2011 (Phase 3, 90k cores). The HELIUM code was particularly invaluable in demonstrating that the Phase 2b and Phase 3 systems perform correctly at pre-agreed performance levels, since this code can be adapted to run for several hours over >80k cores.

Submitting Institution

Queen's University Belfast

Unit of Assessment

Physics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Physical Sciences: Atomic, Molecular, Nuclear, Particle and Plasma Physics
Chemical Sciences: Theoretical and Computational Chemistry

Energy supply industry design capability and chip manufacturers’ market performance are significantly enhanced by integrated computer hardware and software

Summary of the impact

Effective industrial design and simulation require efficient and versatile computing systems. As a result of research performed by our team experienced in High Performance Computing (HPC), novel software structures and aligned hardware architectures have led to significant benefits to the energy supply industry and to microprocessor manufacturers.

As a result of our research with supercomputing, simulation times for electric field patterns in power components have reduced more than 30-fold, with accurate complex 3-D outputs for an increased range of configurations, thereby enabling our partner company to achieve results not possible with commercial software and to reduce product development costs by $0.5M - $5M p.a.

Our research has been incorporated by Intel into their numerical libraries and now made available to the general public supported by their latest processor architectures. Intel now has a 82% share of processors, according to the November 2013 Top500 list.

Submitting Institution

University of Bedfordshire

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics, Computer Software

Developing algorithms to optimise paired kidney donation in the UK

Summary of the impact

Algorithms developed by University of Glasgow researchers have helped NHS Blood and Transplant (NHSBT) tackle the complex problem of increasing the number of kidney transplants in the UK. For people with end-stage renal failure, the most effective form of treatment is transplantation. Dr David Manlove's research team have developed sophisticated algorithms which allow the NHS to help patients who require a kidney transplant, and who have a willing but incompatible donor, to exchange their donor with that of another patient in a similar position, in what is known as a paired exchange. By optimising kidney exchanges, University of Glasgow research has increased the number of transplants from paired donation by 40% between 2008 and 2013, when measured in comparison with the number of transplants that would have been possible with previous pairing techniques. Dr Manlove's work with NHSBT has translated not only into increased quality of life for patients freed from long term dialysis but will also afford the NHS an estimated £16 million of savings over the next 10 years.

Submitting Institution

University of Glasgow

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Health

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics
Medical and Health Sciences: Clinical Sciences
Economics: Applied Economics

Public engagement with the research of Jodrell Bank

Summary of the impact

For decades Jodrell Bank has been a world-leader in both radio astronomy research and public engagement with science. The Lovell Telescope in particular, whilst still remaining one of the world's foremost active research instruments, has become an icon for UK science and engineering. In this case study we show how Jodrell Bank research has had a significant impact on society, culture and creativity, including economic impacts of tourism, educational impacts from engagement with schools, and cultural and creative impacts in television, music and the arts. Our approach to delivering this impact is varied and wide-ranging but a key vehicle is the Jodrell Bank Discovery Centre. The Centre has a significant impact on the regional economy and has attracted 496,000 visitors (including 43,000 school pupils) to engage with our research over the REF period Jan 2008-Jul 2013.

Submitting Institution

University of Manchester

Unit of Assessment

Physics

Summary Impact Type

Societal

Research Subject Area(s)

Physical Sciences: Astronomical and Space Sciences, Other Physical Sciences
Technology: Communications Technologies

Development of Generator Dispatch Algorithms for National Grid

Summary of the impact

Prof Irving and Prof Sterling of the Institute of Power Systems at Brunel University collaborated with National Grid (NG) to develop and deploy a Sparse Dual Revised Simplex (SDRS), optimisation engine for real-time power allocation of all generators that were controlled by the NG. Since 2005-6 NG has been using the algorithms to aid in operation of their Balancing Mechanism, which provides a means of adjusting the level of production or consumption of individual generators or demands in the British Electricity Trading and Transmission Arrangements (BETTA). The algorithms enable the Balancing Mechanism (BM) to efficiently adjust outputs of generators in real time in order to balance the demand for electricity at minimum cost. Therefore, providing economic balancing of the transmission system at a scale of 2-3% of the £5bn annual electricity market (approximately £100M-200M per annum), hence about £800 million has been optimally traded in total in the BM since 2008. It is also important to acknowledge the reliability of the algorithms and SDRS optimisation engine from 2006 to present day, as periods of software outage carry high operational costs. The algorithms developed at Brunel continue to have very significant real world impact in terms of financial volume and its reach, such that every transmission scale power generator in the UK participates in the balancing mechanism and by implication every electricity-user benefits.

Submitting Institution

Brunel University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Numerical and Computational Mathematics
Information and Computing Sciences: Computation Theory and Mathematics

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