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

I. Dinwoodie, V. M. Catterson, D. McMillan

Research output: Contribution to conferencePaper

4 Citations (Scopus)

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.

Conference

Conference2013 IEEE Power & Energy Society General Meeting
CountryUnited Kingdom
CityVancouver
Period21/07/1325/07/13

Fingerprint

Scheduling
Data mining
Costs

Keywords

  • wave forecasting
  • accessibility
  • constraint
  • offshore wind

Cite this

Dinwoodie, I., Catterson, V. M., & McMillan, D. (2013). Wave height forecasting to improve off-shore access and maintenance scheduling. Paper presented at 2013 IEEE Power & Energy Society General Meeting, Vancouver , United Kingdom. https://doi.org/10.1109/PESMG.2013.6672438
Dinwoodie, I. ; Catterson, V. M. ; McMillan, D. / Wave height forecasting to improve off-shore access and maintenance scheduling. Paper presented at 2013 IEEE Power & Energy Society General Meeting, Vancouver , United Kingdom.5 p.
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Dinwoodie, I, Catterson, VM & McMillan, D 2013, 'Wave height forecasting to improve off-shore access and maintenance scheduling' Paper presented at 2013 IEEE Power & Energy Society General Meeting, Vancouver , United Kingdom, 21/07/13 - 25/07/13, . https://doi.org/10.1109/PESMG.2013.6672438

Wave height forecasting to improve off-shore access and maintenance scheduling. / Dinwoodie, I.; Catterson, V. M.; McMillan, D.

2013. Paper presented at 2013 IEEE Power & Energy Society General Meeting, Vancouver , United Kingdom.

Research output: Contribution to conferencePaper

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AU - Dinwoodie, I.

AU - Catterson, V. M.

AU - McMillan, D.

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PY - 2013/7/21

Y1 - 2013/7/21

N2 - 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 windturbines 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.

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KW - wave forecasting

KW - accessibility

KW - constraint

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Dinwoodie I, Catterson VM, McMillan D. Wave height forecasting to improve off-shore access and maintenance scheduling. 2013. Paper presented at 2013 IEEE Power & Energy Society General Meeting, Vancouver , United Kingdom. https://doi.org/10.1109/PESMG.2013.6672438