Statistical forecasting for offshore wind helicopter operations

David McMillan; Jose Dominguz Navarra; Iain Allan Dinwoodie

Statistical forecasting for offshore wind helicopter operations

David McMillan, Jose Dominguz Navarra, Iain Allan Dinwoodie

Electronic And Electrical Engineering

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

5 Citations (Scopus)

103 Downloads (Pure)

Abstract

The influence of the wind and wave climate on offshore wind operations and maintenance is well known. These environmental factors dictate to a large extent whether turbine crew transfer (carried out by small vessels) or major lifting actions (carried out by large vessels) can be executed at sea. However the role of helicopter operations has received much less attention. In this paper the authors explore the helicopter access problem via statistical forecasting and implement a model innovation, by including cloud base as a key access metric. By understanding the practical limits of helicopter operation, offshore wind access calculations will be much improved and reflect more closely the reality of operations at sea.

Original language	English
Publication status	Published - Jul 2014
Event	2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom Duration: 7 Jul 2014 → 10 Jul 2014 https://www.dur.ac.uk/dei/events/pmaps2014/

Conference

Conference	2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014
Abbreviated title	PMAPS 2014
Country/Territory	United Kingdom
City	Durham
Period	7/07/14 → 10/07/14
Internet address	https://www.dur.ac.uk/dei/events/pmaps2014/

Keywords

helicopter operations
statistical forecasting
offshore wind conditions
ARMA
Markov chain
fuzzy logic
wavelets
wind turbine

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NavarroetalPMAPS2014-statistical-forecasting-for-offshore-wind-helicopterSubmitted manuscript, 586 KBLicence: Unspecified

Cite this

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title = "Statistical forecasting for offshore wind helicopter operations",

abstract = "The influence of the wind and wave climate on offshore wind operations and maintenance is well known. These environmental factors dictate to a large extent whether turbine crew transfer (carried out by small vessels) or major lifting actions (carried out by large vessels) can be executed at sea. However the role of helicopter operations has received much less attention. In this paper the authors explore the helicopter access problem via statistical forecasting and implement a model innovation, by including cloud base as a key access metric. By understanding the practical limits of helicopter operation, offshore wind access calculations will be much improved and reflect more closely the reality of operations at sea.",

keywords = "helicopter operations, statistical forecasting, offshore wind conditions, ARMA, Markov chain, fuzzy logic, wavelets, wind turbine",

author = "David McMillan and {Dominguz Navarra}, Jose and Dinwoodie, {Iain Allan}",

year = "2014",

month = jul,

language = "English",

note = "2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, PMAPS 2014 ; Conference date: 07-07-2014 Through 10-07-2014",

url = "https://www.dur.ac.uk/dei/events/pmaps2014/",

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TY - CONF

T1 - Statistical forecasting for offshore wind helicopter operations

AU - McMillan, David

AU - Dominguz Navarra, Jose

AU - Dinwoodie, Iain Allan

PY - 2014/7

Y1 - 2014/7

N2 - The influence of the wind and wave climate on offshore wind operations and maintenance is well known. These environmental factors dictate to a large extent whether turbine crew transfer (carried out by small vessels) or major lifting actions (carried out by large vessels) can be executed at sea. However the role of helicopter operations has received much less attention. In this paper the authors explore the helicopter access problem via statistical forecasting and implement a model innovation, by including cloud base as a key access metric. By understanding the practical limits of helicopter operation, offshore wind access calculations will be much improved and reflect more closely the reality of operations at sea.

AB - The influence of the wind and wave climate on offshore wind operations and maintenance is well known. These environmental factors dictate to a large extent whether turbine crew transfer (carried out by small vessels) or major lifting actions (carried out by large vessels) can be executed at sea. However the role of helicopter operations has received much less attention. In this paper the authors explore the helicopter access problem via statistical forecasting and implement a model innovation, by including cloud base as a key access metric. By understanding the practical limits of helicopter operation, offshore wind access calculations will be much improved and reflect more closely the reality of operations at sea.

KW - helicopter operations

KW - statistical forecasting

KW - offshore wind conditions

KW - ARMA

KW - Markov chain

KW - fuzzy logic

KW - wavelets

KW - wind turbine

UR - https://www.dur.ac.uk/dei/events/pmaps2014/

M3 - Paper

T2 - 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014

Y2 - 7 July 2014 through 10 July 2014

ER -

Statistical forecasting for offshore wind helicopter operations

Abstract

Conference

Keywords

Access to Document

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