Statistical forecasting for offshore wind helicopter operations

David McMillan, Jose Dominguz Navarra, Iain Allan Dinwoodie

Research output: Contribution to conferencePaper

1 Citation (Scopus)
84 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 languageEnglish
Publication statusPublished - Jul 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

Keywords

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

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  • 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.