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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.
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.
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.
A unified design methodology for tuning gas turbine engine controllers, developed by researchers in the Department of Automatic Control and Systems Engineering (ACSE), is being used by Rolls- Royce across its latest fleet of Civil Aero Trent engines. Trent engines are used to power, for example, Boeing 787 Dreamliner and Airbus A350 aircraft that have been adopted by the world's leading airlines.
This new methodology has made economic impact through the introduction of a new process for tuning gas turbine engine controllers leading to the adoption of a significantly changed technology. Indicators of impact are:
i) a new control law and design practice, resulting in a unified approach for different projects;
ii) reduced development effort by shortening and simplifying the design exercise and rendering it suitable for modular insertion; and
iii) streamlined verification requirements.
Drivers of more than 20,000 Jaguar supercharged cars sold worldwide since 2009 are enjoying handling and safety benefits as a direct result of research at Loughborough University. The active differentials control system in production on Jaguar's XF, XJ and XK vehicles is controlled by an algorithm developed at Loughborough. Funded by Jaguar Cars Ltd, the research from 2002 to 2006 was first adopted, after only minor changes, into the supercharged Jaguar XF programme released in 2009. The system is now also in the new F-type and is being extended, in a modified form, to Range Rovers, starting with the new Range Rover Sport.
Model Predictive Control (MPC) is a controller design methodology involving on-line dynamic optimisation of a user-defined objective. The research of Prof. D.Q. Mayne FRS and his colleagues at Imperial College has resulted in the first MPC algorithms capable of dealing with both linear and nonlinear systems and hard constraints on controls and states, thus making MPC a viable technique for industrial applications. His research in linear and nonlinear MPC has been exploited by multinational companies such as Honeywell and ABB. Evidence of impact is found in: 1) ethylene production by Basell Polyolefins GmbH resulting in economic benefits in millions of dollars annually; 2) Sinopec's JinShan power plant efficiency, reducing fuel consumptions of 500 tons of coal and 1,700 tons of coke per annum; 3) automotive powertrain design creating new business for Honeywell (based on OnRAMP design suite); 4) ABB's cpmPlus Expert Optimizer tools used for cement manufacturing, affecting companies such as Untervaz (Switzerland), Lägerdorf (Germany) and Buzzi (Italy); 5) ABB's BoilerMaz system for optimising boiler start-up mechanism resulting in energy savings per start-up of around 15%.
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.
Research by Amol Sasane and co-authors is the foundation of an invention patented and used by the aerospace company Boeing to design flight control systems. The invention is a method which aims to optimize aerodynamic performance of aircraft, thereby improving fuel efficiency and flight safety.
Sasane and his co-authors' research is explicitly mentioned as having been used to overcome a problem in flight control — one that arises in newer, more sophisticated aircraft designs — in Patent no. US 8, 185,255 B2, 'Robust control effector allocation'.
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.
The impacts from over 20 years bioenergy research at Aston University, have been through influence and support for businesses to generate and use environmentally advantageous sources of power, fuels and chemicals. Pilot scale systems that exploit pyrolysis and gasification of biomass residues and renewable feed-stocks are operational. The EU, UK and local governments have developed policies with the Unit's advice on the potential of bioenergy for power generation and waste reduction. Technical and business advice have been provided, a new company formed, investments made in new business directions by SMEs and large multinational companies. This has generated new employment opportunities in consultancy, design and manufacture of systems, social and environmental benefits, along with greater public awareness.