Statistical forecasting for offshore wind helicopter operations

José Antonio Domínguez-Navarro; Iain Dinwoodie; David McMillan

doi:10.1109/PMAPS.2014.6960636

Statistical forecasting for offshore wind helicopter operations

José Antonio Domínguez-Navarro, Iain Dinwoodie, David McMillan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

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
Title of host publication	2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Place of Publication	Piscataway. NJ.
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	9781479935611
DOIs	https://doi.org/10.1109/PMAPS.2014.6960636
Publication status	Published - Nov 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	United Kingdom
City	Durham
Period	7/07/14 → 10/07/14
Internet address	https://www.dur.ac.uk/dei/events/pmaps2014/

Keywords

ARMA
fuzzy logic
helicopter operations
markov chain
statistical forecasting
wavelets
wind turbine

Access to Document

10.1109/PMAPS.2014.6960636

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Cite this

@inproceedings{96a746ae6b11449fba6e3a8a6d1023bb,

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 = "ARMA, fuzzy logic, helicopter operations, markov chain, statistical forecasting, wavelets, wind turbine",

author = "Dom{\'i}nguez-Navarro, {Jos{\'e} Antonio} and Iain Dinwoodie and David McMillan",

year = "2014",

month = nov,

doi = "10.1109/PMAPS.2014.6960636",

language = "English",

isbn = "9781479935611",

pages = "1--6",

booktitle = "2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)",

publisher = "IEEE",

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/",

}

Domínguez-Navarro, JA, Dinwoodie, I & McMillan, D 2014, Statistical forecasting for offshore wind helicopter operations. in 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)., 6960636, IEEE, Piscataway. NJ., pp. 1-6, 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom, 7/07/14. https://doi.org/10.1109/PMAPS.2014.6960636

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T1 - Statistical forecasting for offshore wind helicopter operations

AU - Domínguez-Navarro, José Antonio

AU - Dinwoodie, Iain

AU - McMillan, David

PY - 2014/11

Y1 - 2014/11

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 - ARMA

KW - fuzzy logic

KW - helicopter operations

KW - markov chain

KW - statistical forecasting

KW - wavelets

KW - wind turbine

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