Choosing appropriate values for damping of offshore wind turbine structures is a challenge for engineering design

Project Insights

  • €370,557

    Total Project Costs
  • 3 yr

    Project Duration
  • 2019

    Year Funded

Project Description

In order to achieve the greenhouse gas emissions targets set out in the Paris agreement, Ireland will need to significantly decarbonise its energy supply. Due to reducing costs, offshore wind now offers a viable means for large scale decarbonisation of Ireland's electricity supply by 2030. It is predicted that the offshore wind installation rate in Europe will increase by 400% resulting in an industry worth more than €20 Billion per year in Europe alone. In Ireland, it has been estimated that 1.8GW of offshore wind capacity at an estimated cost of ~€4.5 billion, will be installed by 2030. One of the key challenges in the engineering design of an Offshore Wind Turbine (OWT) relates to choosing appropriate values for damping of the OWT structure. Choosing more realistic values of damping in design can lead to significant reductions in the calculated loads acting on the structure, and also large reductions in fatigue damage, which can lead to savings of up to 10% in steel weight across the structure. In the Irish context this would equate to potential cost savings of ~€230m by 2030 (assuming 1.8GW of offshore wind is developed) and in excess of €1 billion per year across Europe. The primary goal of this project is to advance the scientific knowledge of OWT damping and provide accurate and realistic damping values for use in the design of Irish offshore wind farms, specific to soil types and conditions relevant for potential offshore wind development zones around Ireland.

Project Details

Total Project Cost: €370,557

Funding Agency: SEAI

Year Funded: 2019

Lead Organisation: Trinity College Dublin (TCD)

Partner Organisation(s): Trinity College Dublin (TCD); Gavin and Doherty Geosolutions (GDG); Dublin Offshore Consultants

Collaborators: University College Dublin (UCD)

David Igoe | Lead Researcher(s)