Evaluating a novel approach to reliability decision support for offshore wind turbine installation

Tomas Gintautas, John Dalsgaard Sørensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)
339 Downloads (Pure)

Abstract

This paper briefly describes a novel approach of estimating weather windows for decision support in offshore wind turbine installation projects. The proposed methodology is based on statistical analysis of extreme physical responses of the installation equipment (such as lifting cable loads, motions of lifted objects, etc.), subjected to offshore met-ocean environment and limited by maximum allowable responses of the equipment used. An important aspect of any novel methodology is evaluating how well it performs compared to the standard methods given the same input. Hence, the main focus of this paper is on benchmarking the new methodology against the standard method for weather window estimation—the Alpha-factor method proposed by (DNV, 2011). The evaluation is done in a form of synthetic case study—an offshore wind turbine rotor lift operation at the FINO3 met-mast location. Performance of both methods is measured in terms of number and length of predicted weather windows.
OriginalsprogEngelsk
TitelProgress in Renewable Energies Offshore : proceedings of RENEW2016, 2nd international conference on renewable energies offshore
RedaktørerC. Guedes Soares
Antal sider8
UdgivelsesstedCroydon
ForlagCRC Press
Publikationsdato2016
Sider733-740
ISBN (Trykt)978-1-138-62627-0 (Hbk + CD-ROM)
ISBN (Elektronisk)978-1-315-22925-6 (eBook PDF)
DOI
StatusUdgivet - 2016
BegivenhedInternational Conference on Renewable Energies Offshore - Lisbon, Portugal
Varighed: 24 okt. 201626 okt. 2016
Konferencens nummer: RENEW2016

Konference

KonferenceInternational Conference on Renewable Energies Offshore
NummerRENEW2016
Land/OmrådePortugal
ByLisbon
Periode24/10/201626/10/2016

Emneord

  • Wind turbines
  • Offshore Wind turbines
  • Installation
  • Reliability
  • Decision support

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