What Early U.S. Offshore Wind Projects Reveal About WTIV–Feeder Productivity
- Jan 24
- 3 min read

Early U.S. Offshore Wind projects relied on European wind turbine installation vessels (WTIVs) operating in coordination with U.S.-flagged feeder barges to comply with the Jones Act. We looked at the compared installation performance between the first to commercial scale U.S. Offshore Wind projects to better understand productivity and workability of the feeder barge solution.
Our study evaluated installation cycle performance from two early U.S. offshore wind projects:
South Fork Wind (Ørsted)
WTIV: AEOLUS (Jan De Nul)
Feeder Configuration: One feeder barge with ocean tugs (Crowley)
Vineyard Wind (CIP / Avangrid)
WTIV: SEA INSTALLER (DEME)
Feeder Configuration: Two feeder barges with ocean tugs (Foss)
We evaluated installation cycle characteristics, feeder interaction efficiency, weather exposure, and overall time-in-position for wind turbine generator (WTG) installations.
Methodology
South Fork Wind – AEOLUS
11 WTG installations reviewed
Installations 4, 6, and 7 excluded due to AIS coverage gaps
Analysis reflects early-project performance
Vineyard Wind – Sea Installer
First 11 WTG installations reviewed to align learning curve stage with South Fork
First installation excluded from summary due to extended initial waiting-in-position time
Each installation cycle was segmented into:
WTIV Time in Position
Pre-Feeder Barge Time
Feeder Barge Alongside Time
Post-Barge Time
Waiting-on-Weather
Total Cycle Time per WTG
Barge Workability (Barge Alongside Time / Barge On-Scene Time)
Project 1: AEOLUS – South Fork Wind
Metric | Average | Min | Max | Total |
WTIV in Position (hr) | 149 | 16 | 409 | 1,342 |
Pre-Barge (hr) | 67 | 0 | 299 | 606 |
Barge Alongside (hr) | 42 | 18 | 119 | 374 |
Post-Barge (hr) | 118 | 19 | 328 | 1,058 |
Waiting-on-Weather (hr) | 39 | 0 | 218 | 355 |
Total Cycle Time (days) | 11 | 5 | 25 | 99 |
Barge Workability | 39% | 7% | 90% | — |
Observations
Average total installation cycle: 11 days per WTG
Feeder barge was alongside only 39% of the time the barge was available in the field
Weather impact present but not dominant relative to total cycle time
Installation productivity appears strongly influenced by feeder synchronization
Project 2: Sea Installer – Vineyard Wind
Metric | Average | Min | Max | Total |
WTIV in Position (hr) | 393 | 144 | 819 | 3,929 |
Pre-Barge (hr) | 46 | 0 | 224 | 456 |
Barge Alongside (hr) | 393 | 144 | 819 | 3,929 |
Post-Barge (hr) | 141 | 10 | 259 | 1,409 |
Waiting-on-Weather (hr) | 160 | 0 | 769 | 1,599 |
Total Cycle Time (days) | 18 | 7 | 38 | 178 |
Barge Workability | 37% | 40% | 37% | — |
Observations
Average total installation cycle: 18 days per WTG
Feeder barge was alongside only 37% of the time the barge was available in the field
Significantly longer WTIV time in position relative to South Fork
Higher waiting-on-weather exposure
Greater variability and weather sensitivity observed in early campaign phase
Comparative Insights
1. Total Cycle Time
AEOLUS: 11 days per WTG
SEA INSTALLER: 18 days per WTG, 60% greater than AEOLUS
2. WTIV Time in Position
SEA INSTALLER averaged more than 2.5x the time in position per turbine compared to AEOLUS.
This may reflect:
Different site conditions
Weather exposure
Project execution strategy
Vessel operating profile
Early campaign inefficiencies
3. Feeder Barge Performance
Barge workability was similar across projects (~37–39%).
This suggests that:
Adding a second feeder barge does not necessarily translate into materially higher alongside utilization
WTIV productivity is not purely a function of feeder count
Synchronization and sequencing may matter more than asset quantity
Motion compensation technologies may not have been as effective as expected
4. Weather Sensitivity
Sea Installer experienced materially higher average waiting-on-weather time.
Weather exposure appears to amplify total cycle variability, particularly when installation campaigns extend over longer durations per turbine.
Strategic Implications
These early U.S. offshore wind campaigns suggest several structural observations:
WTIV idle time is substantial relative to productive barge interaction time
Feeder synchronization appears to be a primary driver of cycle efficiency
Weather exposure compounds inefficiencies when cycle duration extends
Simply increasing feeder count does not guarantee higher productivity
For developers, EPC contractors, and lenders, installation cycle duration directly impacts:
Project schedule risk
Contingency requirements
Vessel day rate exposure
Insurance and financing cost
Weather window strategy
As the U.S. market wrestles with the Jones Act feeder model, understanding the real-world performance of feeder models is critical in evaluating future capital allocation and risk models. Early projects offer valuable empirical data on installation cycle mechanics under feeder-based logistics structures. Future analysis will reveal learning curve effects and mid-campaign performance improvements as more installation data becomes available.



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