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!

PO115: A python-based floating offshore wind turbine design framework

Javier Lopez, PhD Student, TECNALIA


The recent surge in interest and investment in floating offshore wind turbine (FOWT) technology has triggered innovation and research in the renewable energy sector. FOWTs are attractive due to their ability to tap into wind energy in deeper waters with more favorable wind conditions. However, their high Leverized Cost of Energy (LCOE) remains a challenge. To address this issue, a Python-based framework for FOWT system design has been developed. This framework offers various complexity-level models and floating wind turbine controllers, making it a valuable tool for the initial stages of FOWT system design. Its modular approach allows users to integrate their controllers, systems, and simulation models, enhancing its flexibility for system optimization and control design. The framework's capabilities are demonstrated through various test cases, including dynamic wind-wave simulations, optimization routines, and post-processing calculations for annual power production (AEP) and damage equivalent loads (DEL). Notably, it integrates the OpenFAST open-source wind turbine simulation tool, enabling rapid evaluation of design changes. Overall, this framework accelerates the early FOWT design process, leading to cost savings. Learning objectives include understanding FOWT design processes, limitations, and costs, dynamic modeling, available models, control objectives and approaches, and control parameter optimization procedures for FOWTs.

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