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SgurrEnergy

SGURRENERGY LTD
Country: United Kingdom
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6 Projects, page 1 of 2
  • Funder: UK Research and Innovation Project Code: EP/R026173/1
    Funder Contribution: 14,635,600 GBP

    The international offshore energy industry currently faces the triple challenges of an oil price expected to remain less than $50 a barrel, significant expensive decommissioning commitments of old infrastructure (especially North Sea) and small margins on the traded commodity price per KWh of offshore renewable energy. Further, the offshore workforce is ageing as new generations of suitable graduates prefer not to work in hazardous places offshore. Operators therefore seek more cost effective, safe methods and business models for inspection, repair and maintenance of their topside and marine offshore infrastructure. Robotics and artificial intelligence are seen as key enablers in this regard as fewer staff offshore reduces cost, increases safety and workplace appeal. The long-term industry vision is thus for a completely autonomous offshore energy field, operated, inspected and maintained from the shore. The time is now right to further develop, integrate and de-risk these into certifiable evaluation prototypes because there is a pressing need to keep UK offshore oil and renewable energy fields economic, and to develop more productive and agile products and services that UK startups, SMEs and the supply chain can export internationally. This will maintain a key economic sector currently worth £40 billion and 440,000 jobs to the UK economy, and a supply chain adding a further £6 billion in exports of goods and services. The ORCA Hub is an ambitious initiative that brings together internationally leading experts from 5 UK universities with over 30 industry partners (>£17.5M investment). Led by the Edinburgh Centre of Robotics (HWU/UoE), in collaboration with Imperial College, Oxford and Liverpool Universities, this multi-disciplinary consortium brings its unique expertise in: Subsea (HWU), Ground (UoE, Oxf) and Aerial robotics (ICL); as well as human-machine interaction (HWU, UoE), innovative sensors for Non Destructive Evaluation and low-cost sensor networks (ICL, UoE); and asset management and certification (HWU, UoE, LIV). The Hub will provide game-changing, remote solutions using robotics and AI that are readily integratable with existing and future assets and sensors, and that can operate and interact safely in autonomous or semi-autonomous modes in complex and cluttered environments. We will develop robotics solutions enabling accurate mapping of, navigation around and interaction with offshore assets that support the deployment of sensors networks for asset monitoring. Human-machine systems will be able to co-operate with remotely located human operators through an intelligent interface that manages the cognitive load of users in these complex, high-risk situations. Robots and sensors will be integrated into a broad asset integrity information and planning platform that supports self-certification of the assets and robots.

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  • Funder: European Commission Project Code: 296050
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  • Funder: UK Research and Innovation Project Code: EP/L016680/1
    Funder Contribution: 3,936,380 GBP

    This proposal is to establish a DTC in Wind and Marine Energy Systems. It brings together the UK's leading institutions in Wind Energy, the University of Strathclyde, and Marine Energy, the University of Edinburgh. The wider aim, drawing on existing links to the European Research Community, is to maintain a growing research capability, with the DTC at is core, that is internationally leading in wind and marine energy and on a par with the leading centres in Denmark, the USA, Germany and the Netherlands. To meet the interdisciplinary research demands of this sector requires a critical mass of staff and early stage researchers, of the sort that this proposal would deliver, to be brought together with all the relevant skills. Between the two institutions, academic staff have in-depth expertise covering the wind and wave resource, aerodynamics and hydrodynamics, design of wind turbines and marine energy devices, wind farms, fixed and floating structures, wind turbine, wind farm and marine energy devices control, power conversion, condition monitoring, asset management, grid-integration issues and economics of renewable energy. A centre of learning and research with strong links to the Wind and Marine Energy industry will be created that will provide a stimulating environment for the PhD students. In the first year of a four year programme, a broad intensive training will be provided to the students in all aspects of Wind and Marine Energy together with professional engineer training in research, communication, business and entrepreneurial skills. The latter will extend throughout the four years of the programme. Research will be undertaken in all aspects of Wind and Marine Energy. A DTC in Wind and Marine Energy Systems is vital to the UK energy sector for a number of reasons. The UK electricity supply industry is currently undergoing a challenging transition driven by the need to meet the Government's binding European targets to provide 15% of the UK's total primary energy consumption from renewable energy sources by 2020. Given that a limited proportion of transport and heating energy will come from such sources, it is expected that electricity supply will make the major contribution to this target. As a consequence, 40% or more of electricity will have to be generated from non-thermal sources. It is predicted that the UK market for both onshore and offshore wind energy is set to grow to £20 billion by 2015.There is a widely recognised skills gap in renewable energy that could limit this projected growth in the UK and elsewhere unless the universities dramatically increase the scale of their activities in this area. At the University of Strathclyde, the students will initially be housed in the bespoke accommodation in the Royal College Building allocated and refurbished for the existing DTC in Wind and Marine Energy Systems then subsequently in the Technology and Innovation Centre Building when it is completed. At the University of Edinburgh, the students will be housed in the bespoke accommodation in the Kings Buildings allocated and refurbished for the existing IDC in Offshore Renewable Energy. The students will have access to the most advanced design, analysis and simulation software tools available, including the industry standard wind turbine and wind farm design tools and a wide range of power system and computation modelling packages. Existing very strong links to industry of the academic team will be utilised to provide strategic guidance to the proposed DTC in Wind and Marine Energy through company membership of its Industrial Advisory Board and participation in 8 week 7 projects as part of the training year and in 3 year PhD projects. In addition, to providing suggestions for projects and engaging in the selection process, the Industry Partners provide support in the form of data, specialist software, access to test-rigs and advice and guidance to the students.

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  • Funder: UK Research and Innovation Project Code: EP/N006224/1
    Funder Contribution: 1,476,690 GBP

    This is a multidisciplinary project that brings together researchers from different academic backgrounds in order to address reliability, lifetime and efficiency in offshore wind farms, and to meet the needs of the UK electricity generation industry. The overarching aim is the reduction of the (levelised) cost of generation of the large offshore wind farms that the UK will need in order to meet national and international objectives in the reduction of CO2 emissions. The multidisciplinary aspect reflects the different but, in context, linked disciplines and brings together the growing discipline of energy meteorology, of aerodynamics and aeroelasticity, of fatigue and structural mechanics, and of systems control. That is, the approach is a holistic one, linking the environmental conditions with their impact on each rotor and the mechanisms to improve farm performance as a whole. The meteorological contribution is essential because of the range of wind flow conditions that exist, subjecting the turbines and - importantly for large wind farms - the wakes of the turbines to a range of unsteady conditions that are known to reduce wind farm efficiency, and to cause increased structural damage (when compared to small-scale onshore wind farms). Both these contribute to increased capital and operating costs. The energy potential for the UK from offshore wind is huge, but offshore wind energy is still at a relatively early stage in technological terms. The aerodynamic response of each turbine to a variety of conditions imposed by the wind flow and the wakes of upstream turbines depends on the aeroelastic behaviour of the blades, the load in turn imposed upon the turbine generator, and the response by the turbine control system. In a large wind farm, the behaviour of one turbine - principally how much energy it is extracting from the wind flow - affects the behaviour, efficiency and lifetime of wind turbines in its wake; the turbines are not independent of each other. In fact, all aspects of the performance of wind turbines within large offshore wind farms, whether power output, loads or operations, are affected by their interaction through the wakes. Hence, to improve the cost effectiveness of offshore wind energy requires a better understanding of the flow-field through the wind farm. The project will address this issue and develop models to better represent the flow-field including the wakes and turbulence. Furthermore, capitalising on this, the implication for loads on the individual wind turbines will be investigated and the design of control strategies will be explored that achieve optimal operation of a large wind farm with each turbine controlled to keep operations and maintenance costs to acceptably low levels whilst (subject to this constraint) maximising farm output.

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  • Project Code: 791875
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