Statistical forecasting for offshore wind helicopter operations

David McMillan, Jose Dominguz Navarra, Iain Allan Dinwoodie

Research output: Contribution to conferencePaper

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.

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

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

Cite this

McMillan, D., Dominguz Navarra, J., & Dinwoodie, I. A. (2014). Statistical forecasting for offshore wind helicopter operations. Paper presented at 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom.
McMillan, David ; Dominguz Navarra, Jose ; Dinwoodie, Iain Allan. / Statistical forecasting for offshore wind helicopter operations. Paper presented at 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom.
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keywords = "helicopter operations, statistical forecasting, offshore wind conditions, ARMA, Markov chain, fuzzy logic, wavelets, wind turbine",
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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",
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McMillan, D, Dominguz Navarra, J & Dinwoodie, IA 2014, 'Statistical forecasting for offshore wind helicopter operations' Paper presented at 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom, 7/07/14 - 10/07/14, .

Statistical forecasting for offshore wind helicopter operations. / McMillan, David; Dominguz Navarra, Jose; Dinwoodie, Iain Allan.

2014. Paper presented at 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom.

Research output: Contribution to conferencePaper

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

ER -

McMillan D, Dominguz Navarra J, Dinwoodie IA. Statistical forecasting for offshore wind helicopter operations. 2014. Paper presented at 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, Durham, United Kingdom.