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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

  • Energy Research
  • 2013

  • Funder: Research Council of Finland Project Code: 271149
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  • Funder: UK Research and Innovation Project Code: 131217
    Funder Contribution: 78,000 GBP

    GL Garrad Hassan (GH) has a long track record in designing structural components for large wind turbines (eg nacelle machine frame, bearing housing, hub). The designs have evolved over several years, but can be optimised further. GH believes that the method of numeric topology optimisation may be an alternative option to further optimise structural components. Reducing tower head mass also leads to reduced tower and support structure weight. GH plans to evaluate Topology optimisation software (Tosca) on an existing 7MW offshore wind turbine design. Based on the layout of this turbine an 'optimised' nacelle machine frame and bearing housing(s) are generated using numeric topology optimisation. The 'traditional' design and 'optimised' will be compared. Relevant criteria are: fatigue and ultimate strength, but also load distribution on for instance the yaw bearing will be evaluated.

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  • Funder: UK Research and Innovation Project Code: 131205
    Funder Contribution: 110,631 GBP

    This project will develop a way to use a Suspended Work Platform (SWP) deployed from a small service vessel to carry out in situ inspection, cleaning and repair of offshore wind turbine blades. SWPs are sometimes used for onshore turbines, but have not been deployed offshore from a vessel, and offshore blades are not normally repaired in situ. The project will develop the equipment and safe systems of work needed to demonstrate the feasibility of deployment of SWPs offshore for blade maintenance. The benefits include reduced maintenance costs, reduced use of large jackup barges, less fuel used, less carbon emitted, quicker repairs, less arduous and more productive work, improved blade performance, extended blade life, leading to cheaper electricity from wind.

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  • Funder: National Science Foundation Project Code: 1329310
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  • Funder: Research Council of Finland Project Code: 269679
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  • Funder: European Commission Project Code: 605140
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  • Funder: UK Research and Innovation Project Code: 131206
    Funder Contribution: 112,783 GBP

    This project will evaluate the feasibility of transferring existing successful helicopter condition monitoring (CM) technology into the offshore wind turbine industry, in order to improve reliability, enable predictive maintenance, increase operations efficiency, reduce emissions, minimise risk for investors and insurers, and ultimately reduce the Levelised Cost of Energy (LCoE). We will evaluate the feasibility of combining Helitune’s helicopter Health & Usage Monitoring System (HUMS) technology, Narec’s offshore wind turbine testing capability, and University of Bristol’s aerospace prognostics expertise, to provide a new holistic CM solution for the offshore wind industry.

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  • Funder: European Commission Project Code: 331389
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  • Funder: National Science Foundation Project Code: 1300560
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  • Funder: National Science Foundation Project Code: 1254915
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.
150 Projects
  • Funder: Research Council of Finland Project Code: 271149
    more_vert
  • Funder: UK Research and Innovation Project Code: 131217
    Funder Contribution: 78,000 GBP

    GL Garrad Hassan (GH) has a long track record in designing structural components for large wind turbines (eg nacelle machine frame, bearing housing, hub). The designs have evolved over several years, but can be optimised further. GH believes that the method of numeric topology optimisation may be an alternative option to further optimise structural components. Reducing tower head mass also leads to reduced tower and support structure weight. GH plans to evaluate Topology optimisation software (Tosca) on an existing 7MW offshore wind turbine design. Based on the layout of this turbine an 'optimised' nacelle machine frame and bearing housing(s) are generated using numeric topology optimisation. The 'traditional' design and 'optimised' will be compared. Relevant criteria are: fatigue and ultimate strength, but also load distribution on for instance the yaw bearing will be evaluated.

    more_vert
  • Funder: UK Research and Innovation Project Code: 131205
    Funder Contribution: 110,631 GBP

    This project will develop a way to use a Suspended Work Platform (SWP) deployed from a small service vessel to carry out in situ inspection, cleaning and repair of offshore wind turbine blades. SWPs are sometimes used for onshore turbines, but have not been deployed offshore from a vessel, and offshore blades are not normally repaired in situ. The project will develop the equipment and safe systems of work needed to demonstrate the feasibility of deployment of SWPs offshore for blade maintenance. The benefits include reduced maintenance costs, reduced use of large jackup barges, less fuel used, less carbon emitted, quicker repairs, less arduous and more productive work, improved blade performance, extended blade life, leading to cheaper electricity from wind.

    more_vert
  • Funder: National Science Foundation Project Code: 1329310
    more_vert
  • Funder: Research Council of Finland Project Code: 269679
    more_vert
  • Funder: European Commission Project Code: 605140
    more_vert
  • Funder: UK Research and Innovation Project Code: 131206
    Funder Contribution: 112,783 GBP

    This project will evaluate the feasibility of transferring existing successful helicopter condition monitoring (CM) technology into the offshore wind turbine industry, in order to improve reliability, enable predictive maintenance, increase operations efficiency, reduce emissions, minimise risk for investors and insurers, and ultimately reduce the Levelised Cost of Energy (LCoE). We will evaluate the feasibility of combining Helitune’s helicopter Health & Usage Monitoring System (HUMS) technology, Narec’s offshore wind turbine testing capability, and University of Bristol’s aerospace prognostics expertise, to provide a new holistic CM solution for the offshore wind industry.

    more_vert
  • Funder: European Commission Project Code: 331389
    more_vert
  • Funder: National Science Foundation Project Code: 1300560
    more_vert
  • Funder: National Science Foundation Project Code: 1254915
    more_vert