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.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO175: Downtime analysis in offshore construction: a statistical model for weather-dependent performance metrics using AIS locations
Yvan Gelbart, Lead Analyst, Spinergie
Abstract
The paper addresses the impact of operational downtime on offshore construction efficiency, particularly in heavy lift installation in offshore wind. It introduces a structured model to identify and benchmark weather-related downtime, considering vessel type, installation scope, component size, season, and region variables. The model utilizes Automatic Identification System (AIS) data from installation vessels, weather data from the US National Oceanic and Atmospheric Administration (NOAA) and Copernicus, and installation performance records to quantify weather-related downtime and enhance planning decisions through improved risk management and resource allocation. The methodology estimates weather thresholds by analyzing installation durations and calculating confidence intervals for wind speed and wave height (Hs) during the longest quantiles of installations. This enables the classification of downtime periods into three categories defined as "offshore weather downtime," "technical downtime," and "waiting on weather." The model was validated using data from 28 offshore wind projects, focusing on recent campaigns from 2020 to 2024, which included over a million AIS locations. Key findings reveal regional and seasonal variations in downtime. For instance, ashore waiting on weather was significantly higher in Taiwan compared to the North Sea. In recent European projects, a median of 0.89 days of downtime per turbine installation was observed, with the East Anglia 1 campaign experiencing the most significant delays. The model's outputs provide critical weather thresholds and downtime calculations, highlighting the varying impacts of weather on offshore operations. Its applicability extends beyond wind installations to other offshore activities, such as cable and pipe laying. By offering a robust framework for analyzing weather-related downtime, the study contributes to optimizing offshore construction schedules and improving operational efficiency.
No recording available for this poster.
