Wave height forecasting to improve off-shore access and maintenance scheduling

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Dinwoodie, I. and Catterson, V. M. and McMillan, D. (2013) Wave height forecasting to improve off-shore access and maintenance scheduling. In: 2013 IEEE Power & Energy Society General Meeting, 2013-07-21 - 2013-07-25. (https://doi.org/10.1109/PESMG.2013.6672438)

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Abstract

This paper presents research into modelling and predicting wave heights based on historical data. Wave height is one of the key criteria for allowing access to off-shore wind turbines for maintenance. Better tools for predicting wave height will allow more accurate identification of suitable “weather windows” in which access vessels can be dispatched to site. This in turn improves the ability to schedule maintenance, reducing costs related to vessel dispatch and recall due to unexpected wave patterns. The paper outlines the data available for wave height modelling. Through data mining, different modelling approaches are identified and compared. The advantages and disadvantages of each approach, and their accuracies for a given site implementation, are discussed.

ORCID iDs

Dinwoodie, I. ORCID logoORCID: https://orcid.org/0000-0001-9090-1256, Catterson, V. M. ORCID logoORCID: https://orcid.org/0000-0003-3455-803X and McMillan, D. ORCID logoORCID: https://orcid.org/0000-0003-3030-4702;
  • Item type:Conference or Workshop Item(Paper)
    ID code:44744
    Dates:
    Date
    Event
    21 July 2013
    Published
    Notes:(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:10 Sep 2013 14:15
    Last modified:11 Nov 2024 16:35
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/44744
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