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Helping to create Ashwoods Lightfoot® and enable fleet managers to reduce the fuel costs and CO2 footprint from 2,500 vehicles

Summary of the impact

Economic impact

  • Design of a new and award winning product called Lightfoot® that gives reductions of at least 10% in fuel use and CO2 emissions.
  • The creation of a new business, Ashwoods Lightfoot® and three new jobs, with a sales value to date in excess of £625,000 and a subscription base of over £10,000 per month.
  • Economic performance of 200 vehicle fleets, including six major operators, has been improved by 2,500 installations of the system, saving over £83,000 per month in fuel costs.

Environmental impact

  • Saving an estimated 2,000 tonnes of CO2 per year.

Submitting Institution

University of Bath

Unit of Assessment

Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Civil Engineering
Psychology and Cognitive Sciences: Psychology

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

Drivetrain noise and vibration refinement for automotive applications

Summary of the impact

Reducing vehicle noise and vibration is a key quality objective in the automotive industry. Historically, the approach has been costly palliation late in the manufacturing process; now a new approach applied earlier in the vehicle development cycle has been devised by Loughborough University and Ford and implemented at Ford that has led to savings of $7 per vehicle with respect to clutch in-cycle vibration (whoop). Ford has reported savings of $10M over 5 years, whilst reductions in transmission rattle have led to 5% fuel efficiency gains [5.1]. Ford has made an investment of £240M in its engine and transmission work at Bridgend, which includes aspects of work reported here and has created 600 new jobs [5.2].

Submitting Institution

Loughborough University

Unit of Assessment

Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Technology: Communications Technologies

Improving Police Efficiency and Effectiveness through Mobile Technologies

Summary of the impact

The impact of the research at Loughborough University from 1999 to date has transformed informational processes in Leicestershire Police and has been adopted by other Police forces across the UK and internationally. Within Leicestershire it has led directly to [5.1]:

  • improved visibility and accessibility of police on the streets (risen by 44%),
  • less duplication in crime recording,
  • a reduction in vehicle travel and officer return journeys to police stations,
  • improved real-time access to criminal intelligence,
  • financial savings of in excess of £5m,
  • and better operational use of officer resources.

Submitting Institution

Loughborough University

Unit of Assessment

Communication, Cultural and Media Studies, Library and Information Management 

Summary Impact Type

Legal

Research Subject Area(s)

Information and Computing Sciences: Information Systems
Commerce, Management, Tourism and Services: Business and Management
Studies In Human Society: Criminology

Case 1 – Efficient and Economical Plant Management via Model Predictive Control

Summary of the impact

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%.

Submitting Institution

Imperial College London

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

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

A 60% reduction in diesel use: the impact of optical diagnostics on dual-fuel engines

Summary of the impact

Loughborough University's (LU) research collaboration with The Hardstaff Group has resulted in a commercial Oil-Ignition-Gas-Injection system (OIGI®), which substitutes natural gas for Diesel oil in heavy goods vehicles. Using optical diagnostics OIGI® was redesigned, increasing average substitution rates from 45% to 60%. The economic impact for Hardstaff was a fuel saving of £406k per annum. The research allowed Hardstaff to create new business with Mercedes-Benz in the UK and Volvo in Sweden. OIGI® reduces CO2 by up to 15%, harmful nitrogen oxides and particulate emissions by 30%. The research also demonstrated, for the first time, dual fuel technology in small, high-speed diesel engines, paving the way for its application in passenger cars.

Submitting Institution

Loughborough University

Unit of Assessment

Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Automotive Engineering, Mechanical Engineering, Interdisciplinary Engineering

Improving the design of flight control systems

Summary of the impact

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'.

Submitting Institution

London School of Economics & Political Science

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Computation Theory and Mathematics
Engineering: Mechanical Engineering

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

Project HOTFIRE: Collaborative fundamental research leads to new, downsized, high fuel economy car engine

Summary of the impact

The HOTFIRE collaborative research project (2004-2008) into advanced engine combustion systems led directly to a new, high specific power output, high fuel economy, low CO2 emissions turbocharged `down-sized' three-cylinder engine that was demonstrated in the Opel Astra car in 2008. The valuable new knowledge, understanding and techniques gained in the HOTFIRE project has directly contributed to the successful delivery of a major engine family project for an ASEAN region OEM client of Lotus Engineering.

Submitting Institution

Loughborough University

Unit of Assessment

Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Engineering: Automotive Engineering, Mechanical Engineering, Interdisciplinary Engineering

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

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