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

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

doi:10.1109/PESMG.2013.6672438

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

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

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

13 Citations (Scopus)

208 Downloads (Pure)

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.

Original language	English
Number of pages	5
DOIs	https://doi.org/10.1109/PESMG.2013.6672438
Publication status	Published - 21 Jul 2013
Event	2013 IEEE Power & Energy Society General Meeting - Vancouver , United Kingdom Duration: 21 Jul 2013 → 25 Jul 2013

Conference

Conference	2013 IEEE Power & Energy Society General Meeting
Country/Territory	United Kingdom
City	Vancouver
Period	21/07/13 → 25/07/13

Keywords

wave forecasting
accessibility
constraint
offshore wind

Access to Document

10.1109/PESMG.2013.6672438

Dinwoodie-etal-PESGM2013-wave-height-forecasting-to-improve-off-shoreAccepted author manuscript, 2.01 MB

Cite this

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title = "Wave height forecasting to improve off-shore access and maintenance scheduling",

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 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.",

keywords = "wave forecasting, accessibility, constraint, offshore wind",

author = "I. Dinwoodie and Catterson, {V. M.} and D. McMillan",

note = "(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.; 2013 IEEE Power & Energy Society General Meeting ; Conference date: 21-07-2013 Through 25-07-2013",

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AU - Dinwoodie, I.

AU - Catterson, V. M.

AU - McMillan, D.

N1 - (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.

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.

AB - 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.

KW - wave forecasting

KW - accessibility

KW - constraint

KW - offshore wind

UR - http://www.pes-gm.org/2013/

U2 - 10.1109/PESMG.2013.6672438

DO - 10.1109/PESMG.2013.6672438

M3 - Paper

T2 - 2013 IEEE Power & Energy Society General Meeting

Y2 - 21 July 2013 through 25 July 2013

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Quantitative Modelling to Estimate Offshore Wind Farm Maintenance Costs

An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access

Cite this

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Quantitative Modelling to Estimate Offshore Wind Farm Maintenance Costs

Research output

An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access

Cite this