Log in
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.
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.
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.
This case study provides an account of work on a mathematical framework for the design and optimization of communication networks, and some examples of the framework's influence upon the development of the network congestion control schemes that underlie modern communication networks, notably the Internet.
The impact on protocol development and on network architectures has been significant; in particular on the development of congestion control algorithms and multipath routing algorithms that are stable and fair. Several of the insights on large scale system behaviour have been transferred to help understand cascading failures in other large scale systems, including transport infrastructures.
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.
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%.
The supply of electrical energy to centres of demand is an increasingly important issue as our power generation sources decarbonise. Without innovation in our use of high voltage cables, security of supply to our major cities cannot be guaranteed. Our research has:
Low-cost wireless solutions beyond the technologies available previously and developed at Loughborough University since 2005 are used by IDC, and Sure, who integrate these technologies in several products and services so generating impacts in terms of:
The technologies have been deployed in a logistics distribution centre (ToysRUs), an automotive manufacturing process (Toyota), and a safety and security system (Sure).
The field of conceptual chemical process design as practiced industrially has been influenced significantly by the outputs from the Centre for Process Integration (CPI) at Manchester. Process Integration Ltd (PIL) was spun-out from Manchester and currently employs over 50 staff globally, who have conducted projects that have resulted in annual cost savings of hundreds of millions of US dollars. The application of CPI technology has led to significant reductions in both energy costs and emissions of greenhouse gases. Since 2008 ca. US$350m of savings have been realized through the exploitation of CPI technology with US$1.4m generated from software sales.
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.