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In A World First, An Autonomous Underwater Vehicle Inspects Offshore Wind Farm

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Autonomous Underwater Vehicle
Image Credits: Beam

Beam, which provides high-tech offshore wind services, has deployed the world’s first autonomous underwater vehicle driven by AI or Artificial intelligence.

The technology was used to inspect jacket structures on the Seagreen offshore wind farm in Scotland, a joint venture partnership between SSE Renewables, TotalEnergies, and PTTEP.

Though such inspections are usually manual and time-consuming, AI helps perform complicated tasks without human intervention, boosting the efficiency and cost-effectiveness of surveys and underwater inspections.

It also improves inspection data quality, is more precise and allows for 3D reconstruction of structures along with getting visual data.

Brian Allen, CEO of Beam, said that this technology has massive potential and wouldn’t be possible without clients like SSE Renewables.

Seagreen has been operating since October 2023 and is the world’s deepest fixed-bottom offshore wind farm.

The Beam project has offered important observations for autonomous tech on offshore wind structures. The data garnered by Beam will help maintain operational reliability at the wind farm and offer important insights into marine growth and erosion at the foundations.

Matthew Henderson, technical asset manager—Substructure and Asset Lifecycle at SSE Renewables, said this technology shows that autonomous inspections can decrease the workforce needed for planned inspections.

It is also less time-consuming and the data is precise and helps in integrity planning. The data is also collected at a low risk.

Beam will roll out this new technology throughout 2025 and 2026 across its fleet of DP2 ships and underwater vehicles.

References: Smart Energy, Offshore Energy

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Disclaimer :
The information on this website is for general purposes only. While efforts are made to ensure accuracy, we make no warranties of any kind regarding completeness, reliability, or suitability. Any reliance you place on such information is at your own risk. We are not liable for any loss or damage arising from the use of this website.

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