Statistical forecasting for offshore wind helicopter operations

José Antonio Domínguez-Navarro, Iain Dinwoodie, David McMillan

Research output: Chapter in Book/Report/Conference proceedingConference 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.

LanguageEnglish
Title of host publication2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Place of PublicationPiscataway. NJ.
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Print)9781479935611
DOIs
Publication statusPublished - Nov 2014
Event2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom
Duration: 7 Jul 201410 Jul 2014
https://www.dur.ac.uk/dei/events/pmaps2014/

Conference

Conference2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014
Abbreviated titlePMAPS 2014
CountryUnited Kingdom
CityDurham
Period7/07/1410/07/14
Internet address

Fingerprint

Helicopter
Helicopters
Forecasting
Vessel
Environmental Factors
Turbines
Turbine
Innovation
Climate
Maintenance
Metric
Model

Keywords

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

Cite this

Domínguez-Navarro, J. A., Dinwoodie, I., & McMillan, D. (2014). Statistical forecasting for offshore wind helicopter operations. In 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). [6960636] Piscataway. NJ.: IEEE. https://doi.org/10.1109/PMAPS.2014.6960636
Domínguez-Navarro, José Antonio ; Dinwoodie, Iain ; McMillan, David. / Statistical forecasting for offshore wind helicopter operations. 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway. NJ. : IEEE, 2014. pp. 1-6
@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 = "11",
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",

}

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

Statistical forecasting for offshore wind helicopter operations. / Domínguez-Navarro, José Antonio; Dinwoodie, Iain; McMillan, David.

2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway. NJ. : IEEE, 2014. p. 1-6 6960636.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

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

UR - http://www.scopus.com/inward/record.url?scp=84915818880&partnerID=8YFLogxK

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

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6937463

U2 - 10.1109/PMAPS.2014.6960636

DO - 10.1109/PMAPS.2014.6960636

M3 - Conference contribution book

SN - 9781479935611

SP - 1

EP - 6

BT - 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

PB - IEEE

CY - Piscataway. NJ.

ER -

Domínguez-Navarro JA, Dinwoodie I, McMillan D. Statistical forecasting for offshore wind helicopter operations. In 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway. NJ.: IEEE. 2014. p. 1-6. 6960636 https://doi.org/10.1109/PMAPS.2014.6960636