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Analysing the impact of various geometries on the operability of crew transfer vessels

Analysing the impact of various geometries on the operability of crew transfer vessels
Analysing the impact of various geometries on the operability of crew transfer vessels
The rapid growth of the renewable energy sector, particularly offshore wind farms, has heightened the demand for Crew Transfer Vessels (CTVs). Ensuring the efficiency, safety, and comfort of these vessels is paramount, given their mission of transporting wind farm technicians and personnel to and from offshore sites. This research project explores the operability of eight different CTV geometries to identify the optimal design.

Utilising Maxsurf Modeller for geometry creation and ShipX for operability analysis through Strip Theory, comprehensive simulations were conducted to determine the ideal CTV configuration for optimal performance in the challenging conditions of the North Sea.

The study's findings explicitly reveal that a 20-metre CTV stands out as the optimal length choice for enhanced operability in North Sea operations. The implications of this research extend to the wider industry, offering a valuable framework for calculating the optimal geometry for CTVs with similar missions. This, in turn, has the potential to generate significant cost savings and streamline research efforts. By adopting more economical vessel designs, companies can maximise their profits and enhance the productivity of technicians, ensuring smoother and more efficient operations in the offshore wind energy sector. This research signifies a crucial step toward achieving greater efficiency and sustainability in the renewable energy industry.
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Barbour, Liam
5eefd6c6-2ac1-47cc-aef9-b1e5a4247f7c
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Barbour, Liam
5eefd6c6-2ac1-47cc-aef9-b1e5a4247f7c

Tezdogan, Tahsin and Barbour, Liam (2024) Analysing the impact of various geometries on the operability of crew transfer vessels. The International Maritime and Logistics Conference 2024, , Alexandria, Egypt. 03 - 05 Mar 2024. 12 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The rapid growth of the renewable energy sector, particularly offshore wind farms, has heightened the demand for Crew Transfer Vessels (CTVs). Ensuring the efficiency, safety, and comfort of these vessels is paramount, given their mission of transporting wind farm technicians and personnel to and from offshore sites. This research project explores the operability of eight different CTV geometries to identify the optimal design.

Utilising Maxsurf Modeller for geometry creation and ShipX for operability analysis through Strip Theory, comprehensive simulations were conducted to determine the ideal CTV configuration for optimal performance in the challenging conditions of the North Sea.

The study's findings explicitly reveal that a 20-metre CTV stands out as the optimal length choice for enhanced operability in North Sea operations. The implications of this research extend to the wider industry, offering a valuable framework for calculating the optimal geometry for CTVs with similar missions. This, in turn, has the potential to generate significant cost savings and streamline research efforts. By adopting more economical vessel designs, companies can maximise their profits and enhance the productivity of technicians, ensuring smoother and more efficient operations in the offshore wind energy sector. This research signifies a crucial step toward achieving greater efficiency and sustainability in the renewable energy industry.

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More information

Published date: 3 March 2024
Venue - Dates: The International Maritime and Logistics Conference 2024, , Alexandria, Egypt, 2024-03-03 - 2024-03-05

Identifiers

Local EPrints ID: 495228
URI: http://eprints.soton.ac.uk/id/eprint/495228
PURE UUID: 03f2bc21-d9c7-4cc3-8bd7-3cba6dd61785
ORCID for Tahsin Tezdogan: ORCID iD orcid.org/0000-0002-7032-3038

Catalogue record

Date deposited: 01 Nov 2024 18:22
Last modified: 02 Nov 2024 03:08

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Contributors

Author: Tahsin Tezdogan ORCID iD
Author: Liam Barbour

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