Posters
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 industry and the academic community.
PO489: Integrating Installation Logistics into Levelised Cost of Energy Models for Floating Offshore Wind Farms
Manu Centeno-Telleria, Researcher and Lecturer, Mondragon University
Abstract
Reducing the Levelised Cost of Energy (LCOE) is a key requirement for the widespread adoption of floating offshore wind (FOW). Achieving this goal requires accurate computational models that can estimate LCOE by capturing the full life cycle of FOW farms, including manufacturing, installation, operation and maintenance, and end-of-life phases. These LCOE models must provide sufficient detail to represent each operational phase accurately, while remaining computationally efficient to allow rapid evaluation of multiple scenarios. However, the installation phase is often oversimplified in existing LCOE models [1-3], typically represented only by parametric cost equations. This limits the ability to capture the operational and logistical complexities of deploying FOW farms, which can significantly impact overall costs and project feasibility. On the other hand, there are detailed computational models that focus exclusively on characterising the installation phase through simulations methods [4,5]. Such detailed installation models generally have very high computational costs and are therefore impractical to incorporate directly into LCOE models. This highlights the need to develop installation models that are sufficiently detailed while remaining compatible with LCOE models, allowing them to be integrated efficiently for full life-cycle cost assessments. Therefore, the main objective of this study is to address this need by developing a new installation model based on a discrete event simulation approach that is less computationally intensive, yet fully integrable within LCOE models. To this end, the new installation simulation model is incorporated into the authors’ previously developed LCOE model [3]. The case study developed in the North Sea demonstrates that this integration is feasible. Furthermore, results reveal the significant impact of installation parameters on the final LCOE. The sensitivity analysis indicates that the LCOE can vary by approximately €3/MWh when both the operational wave height limit and the duration of turbine hookup change.
No recording available for this poster.
