Research output per year
Research output per year
Project Details
Description
In order to achieve sustainably affordable offshore wind power, improvements in the O&M phase will be needed. Crew transfer is the process by which maintenance technicians are transferred by work boat (crew transfer vessel, CTV) to the turbine and vice versa. The pressure to achieve increased access to turbines implies a greater number of marginal-weather transfers. In order to achieve this while maintaining very high levels of safety, the ORACLES project seeks to develop a new crew transfer access forecasting capability.
| Status | Finished |
|---|---|
| Effective start/end date | 1/02/18 → 31/01/19 |
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Research output
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Probabilistic access forecasting for improved offshore operations
Gilbert, C., Browell, J. & McMillan, D., 1 Jan 2021, In: International Journal of Forecasting. 37, 1, p. 134-150 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)54 Downloads (Pure) -
A data-driven vessel motion model for offshore access forecasting
Gilbert, C., Browell, J. & McMillan, D., 19 Oct 2019, OCEANS 2019 - Marseille. Piscataway, NJ.: IEEE, 6 p. 8867176Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile5 Citations (Scopus)34 Downloads (Pure) -
Access forecasting for safety-critical crew transfers in offshore environments
Browell, J., Gilbert, C. & McMillan, D., 18 Jun 2019.Research output: Contribution to conference › Presentation/Speech › peer-review
Projects
- 1 Finished
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Offshore Access Innovation Placement with EdF Renewables (Teeside) [£5,500]
McMillan, D. (Principal Investigator) & Gilbert, C. (Researcher)
DATALAB (SFC Innovation Centre, administered by the University of Edinburgh), Turner Iceni Limited, Miros Scotland Limited
1/10/19 → 30/11/19
Project: Internally funded project
Datasets
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Code for: "Probabilistic Access Forecasting for Improved Offshore Operations"
Gilbert, C. (Creator), Browell, J. (Creator) & McMillan, D. (Creator), University of Strathclyde, 30 Mar 2020
DOI: 10.15129/d4055a23-f2f7-482d-9cb2-4e15960b17f6, https://www.ecmwf.int/ and one more link, http://wavenet.cefas.co.uk/ (show fewer)
Dataset