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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

Economic and environmental benefits from adoption of active power network management scheme

Summary of the impact

Research at the University of Strathclyde between 2003 and 2008 directly produced the following impacts from 2008 onwards: 10 wind farms (17 MW aggregate capacity) connected to the Orkney power network from 2009 to 2013 with accompanying economic and environmental benefits; Orkney power network reinforcement deferral saving of £30M from 2009 with repeat deployments of Active Network Management (ANM) technology in other UK power networks; spin-out company formed in September 2008 with total revenues to date of £6.1M, equity investment totalling £3.5M and 35 FTE jobs created; provision of new power system options for long term network plans impacting the 2013 investment decisions in distribution network companies; contribution to the emerging Smart Grid business sector in the UK and overseas from 2008.

Submitting Institution

University of Strathclyde

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Environmental

Research Subject Area(s)

Engineering: Electrical and Electronic Engineering, Environmental Engineering
Economics: Applied Economics

Enhancing of National Grid Stability via optimisation of “Dinorwig Hydro Power Station”

Summary of the impact

Our work has facilitated the creation of a variety of innovative control strategies for First Hydro Company (FHC), owner of Europe's largest pump storage plant. FHC's two plants are both supported by the simulation platform developed as part of our research and responsible for balancing load variation on the National Grid. Critically, FHC's business model relies on their ability to provide ancillary services within a short time. Our research produced a comprehensive plant model, and was used to enhance the dynamic response of the Dinorwig station; this resulted in improvement in National Grid stability and has provided competitive advantages to FHC since 2008.

Submitting Institution

Bangor University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Numerical and Computational Mathematics, Statistics

Saving Water through Optimal Energy and Leakage Management in Water Distribution Systems

Summary of the impact

Water distribution systems (WDS) are highly complex, spatially distributed networks comprising thousands of different components which deliver drinking water to customers. The impact described here has been achieved in areas of energy management, pressure control and burst detection in WDS. Some developed solutions, such as the model reduction method, model of pump stations and pressure control algorithms, have been widely accepted by the water research community and then filter down to industrial applications or implemented in a widely available shareware. Direct economical and environmental impacts have been achieved by projects for the UK companies with measurable benefits in pounds through reducing water losses and energy consumption as described in Section 4. These include South Staffordshire Water, Aquavent and Scottish Water in the pressure control area and Affinity Water (former Veolia) in the energy management and burst detection areas.

Submitting Institution

De Montfort University

Unit of Assessment

General Engineering

Summary Impact Type

Environmental

Research Subject Area(s)

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

Control technologies for advanced energy efficiency and environmental emission reduction in industrial plants

Summary of the impact

Collaborations funded through EPSRC Interact and RCUK UK-China Science Bridge resulted in QUB's advanced control research having important economic and environmental impact in China, Pakistan, Vietnam. This includes the creation of new core modules for the Shanghai Automation Instrumentation Co (SAIC) SUPMAX Distributed Control System series of products now in use for whole plant monitoring and control to maximise energy efficiency and reduce pollutant emissions. These products have since 2008 increased SAIC's revenue by over $50M p.a. Related networked monitoring technologies have been successfully deployed in Baosteel's hot-rolling production lines and in the Nantong Water Treatment Company that treats 20,000 tonnes of industrial waste water daily.

Submitting Institution

Queen's University Belfast

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Statistics
Engineering: Mechanical Engineering

Variwave: Safeguarding Air Quality by Radically Improving the Efficiency of Industrial Air Cleaners

Summary of the impact

The Leicester Variwave project, in relation to electrostatic dust precipitation, utilises a novel high voltage, high frequency, high power transformer within the power supply, which has enabled cuts in industrial emissions of ~50 per cent and considerable cost savings. Most new-build power stations and many other industrial sites now use technology based on that developed in Leicester. As well as fly ash and dust, the technology has the ability to trap sub-micron particulates thought to be partly responsible for the increase in the number of asthma cases during the past few decades. The MD of [text removed for publication] states `Through publications made by ...Leicester ...we were interested to learn how the team designed their high voltage transformer, and how that transformer operated with the high frequency, high power switched-mode electronics. They achieved that `Holy Grail' combination [of high voltage, frequency, high power] in a 70 kW switched-mode power supply (SMPS) running at 20 KHz and at 50 kV. The publication in the IEEE Transactions on Power Delivery was very helpful, and enabled us to choose the direction when pushing the design boundaries in developing our own high power, high voltage technology for electrostatic precipitators'. Dr Devine, a key member of the Leicester team between 1995 and 2000, was employed by [text removed for publication] in 2001 purely on the basis of his knowledge of Variwave. [text removed for publication] now have 200 units in operation. In 2002 Dr Devine was head-hunted for his knowledge of Variwave and moved to [text removed for publication], who also developed commercial units. The uptake of the technology has been growing steadily since 2001. Exemplar data from one company on the associated reduction in emissions shows 195 switched mode power units installed in boiler plants worldwide by 2004 gave a reduction of around 60%. A 60% reduction in emissions is equivalent to a reduction from 40 mg.m-3 to 16 mg.m-3 of flue gas particulates. Since 2004 to date there are now estimated to be at least 5000 units installed worldwide.

Submitting Institution

University of Leicester

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Electrical and Electronic Engineering, Interdisciplinary Engineering

Case 5 - Design and optimisation methods for power networks impacting industrial strategies and government policies

Summary of the impact

The Power Systems research team at Imperial made pivotal contributions in the design of power transmission networks, the equipment within these networks, and non-conventional electricity systems. Since 2008, the impact of their research has been to:

I1) influence government policies by contributing to House of Common Select Committee (2010);

I2) support the Fundamental Review of Supply Quality and Security Standards;

I3) assist National Grid in defining new investment affecting £3bn worth of network assets now approved by the regulator (2013);

I4) provide tools to develop the first offshore networks design standards in 2008, saving an estimated £500m by 2013 to date and a projected overall saving of £1-2bn by 2020;

I5) advance Alstom's design concept for next generation HVDC converter stations for offshore wind connection from TRL 1 in 2009 to TRL 4 in 2013 supported by 3 new patents;

I6) enable UK Power Network to plan network investment of £1.18bn and make savings of £130m (2013) through applying new technologies and demand response;

I7) facilitate a scheme for off-grid energy kiosks for electrification in rural Africa yielding social gains and a business opportunity.

Submitting Institution

Imperial College London

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Political

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Electrical and Electronic Engineering

1) MW size DC/DC converters and DC circuit breakers

Summary of the impact

The power systems laboratory at the University of Aberdeen has developed new converter topologies that have applications in connecting MW size DC power sources with DC transmission/distribution grids. These converters resolve very challenging questions of fault isolation on high-power DC networks. Scottish Enterprise funded a proof of concept project which developed a prototype, and confirmed the feasibility for various applications with interconnecting renewable power sources. Impact from the research is ongoing. Initial impact has been on public policy and services, where policy debate has been informed by our research evidence; and where decisions, regulations or guidelines have been informed by our research. Impact has also been generated for practitioners and professional services, where both a professional body and a company have used research findings in the conduct of their work, their practices have changed, and new or improved processes have been adopted as a direct result of research findings.

The technology has attracted the attention of George Adamowitsch, European Coordinator for the working group for offshore and onshore grid development. He has described the Aberdeen research in his annual report to EU parliament in 2010, and the lead academic, Professor Dragan Jovcic, now sits on the Working Group for onshore/offshore grid development, developing plans for the European DC supergrid. In addition, this research has contributed to Working Group B4.52 of the International Council on Large Electric Systems (CIGRE), and their major technical brochure "HVDC Grid Feasibility study". Finally, the research has been analysed by the French power company RTE (Réseau de Transport d'Electricité). As a result of the research findings the company has adapted their approach to the planning of major offshore wind farm developments, resulting in a re-definition of the company research and development strategy.

Submitting Institution

University of Aberdeen

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Computer Software
Engineering: Electrical and Electronic Engineering

Sensorless control of high efficiency drives for consumer appliances

Summary of the impact

Newcastle University has a substantial background in researching novel control methods for electric motors. This case study concerns the impact that our work on sensorless control systems has had upon Dyson consumer products.

One of our sensorless control schemes has been adopted by Dyson for their vacuum cleaner drive systems offering benefits of ruggedness, flexibility and being inexpensive to implement, leading to reduced production costs and improved ergonomics derived from the ability to eliminate bulky sensor components and separate control electronics from the motor.

Dyson has invested £5M in a new production line for products using this sensorless control system which have production volumes of around 5 million units per annum. The Company estimates the cost savings accruing from the use of our designs at around £2M per annum.

Submitting Institution

Newcastle University

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Electrical and Electronic Engineering

Integrated High-speed Generation Set Controllers

Summary of the impact

Novel integrated control systems together with their application within a holistic operational strategy have been created as a result of research with Caterpillar. Caterpillar the world's largest manufacturer of high-speed diesel generator sets (gen-sets) has invested [text removed for publication]. This activity yields significant commercial advantage in both performance and efficiency bringing benefits for the environment, through reduced emissions, and major customer operational savings.

Submitting Institution

Queen's University Belfast

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Electrical and Electronic Engineering

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