Predictive Modelling of Dynamic Positioning Vessel Capacity on Offshore Wind Industry

JeongMin Kim

Ocean Technology Training Team, Korea Institute of Maritime and Fisheries Technology (KIMFT), Busan 48562, Republic of Korea

Hyeri Park

Logistics and Maritime Industry Research Department, Maritime Industry Research Division, Korea Maritime Institute (KMI), Busan 49111, Republic of Korea

DOI: https://doi.org/10.36956/sms.v7i2.1877

Copyright © 2025 JeongMin Kim, Hyeri Park. Published by Nan Yang Academy of Sciences Pte. Ltd.

Creative Commons LicenseThis is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.


Abstract

As global efforts to combat climate change intensify, offshore wind farms have emerged as scalable and sustainable solutions. However, their deployment depends heavily on the availability of specialized vessels with Dynamic Positioning (DP) systems such as Wind Turbine Installation Vessels (WTIVs) and Service Operation Vessels (SOVs). Despite their importance, long-term demand forecasting for such vessels remains underexplored, especially in South Korea. This study presents the dDP-W model, a System Dynamics (SD)-based framework that simulates the evolving demand for DP vessels under varying technological, policy, and environmental conditions. Unlike conventional methods based on historical extrapolation, the model uses feedback-driven causality and scenario-based simulations aligned with South Korea’s offshore wind roadmap (2026–2036). Three WTIV demand scenarios—baseline, optimistic, and pessimistic—were constructed based on vessel productivity and weather-related downtime. SOV demand was estimated using cumulative turbine counts and fixed vessel coverage ratios. The simulations indicate that WTIV demand peaks in the early 2030s, requiring 6 to 7 vessels depending on conditions, while SOV demand increases steadily, reaching nearly 70 vessels by 2036. These findings highlight the need for early vessel procurement, infrastructure investment, and workforce preparation. By integrating technical, logistical, and policy factors into a dynamic model, this study provides a practical decision-support tool for stakeholders in shipbuilding and offshore energy. The results offer strategic insights to address potential vessel shortages and ensure alignment with national renewable energy goals.

Keywords: System Dynamics, Fleet Capacity, Dynamic Positioning System, Offshore Wind, Vessel


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