Posters - WindEurope Annual Event 2024

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Come meet the poster presenters to ask them questions and discuss their work

We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!

PO310: Optimization of logistical resources for operations and maintenance of an offshore wind farm

lvaro Rodríguez-Luis, Project Technician, IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Spain


This communication presents a methodology to optimize logistic resources for operations and maintenance (O&M). In particular, a methodology is proposed to choose the fleet of maintenance vessels so that the LCOE (Levelized Cost of Energy) is optimal. The methodology is based on a lifetime simulator that considers historical metocean data, hourly characterization of accessibility (based on a hydrodynamic modeling of multi-body systems in the frequency domain), a stochastic simulator of wind farm maintenance (based on a catalog of more than 1800 alerts) and an algorithm to reproduce the O&M intelligence (planning of maintenance tasks in climatic windows and allocation of resources). As a case study, the wind farm proposed in the COREWIND project and located off the southeast coast of Gran Canaria (Spain) was chosen. The wind farm consists of twenty floating wind turbines with the ActiveFloat semi-submersible platform and a 15 MW turbine. Different logistical options for the farm are compared, including the type and size of vessels, the number of each type and the chosen port. The change in energy availability between the different case studies is compared with the change in cost, thus optimizing the LCOE of the wind farm. The presented study is a valuable example of the potential of the proposed O&M simulation model as an optimization tool.

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