Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach

Iain Allan Dinwoodie, David McMillan, Francis Quail

Research output: Contribution to conferencePaper

Abstract

This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of site data are captured. In addition, seasonality is included. Correlation observed between wind and wave site can be incorporated if simultaneous data exists. Using this approach a time series for both significant wave height and mean wind speed is described. This allows MTTR to be implemented within the reliability simulation as a variable process, dependent on significant wave height. This approach automatically captures site characteristics including seasonality and allows for complex analysis using time dependent constaints such as working patterns to be implemented. A simple cost model for lost revenues determined by the concurrent simulated wind speed is also presented. A preliminary investigation of the influence of component reliability and access thresholds at various existing sites on availability is presented demonstrating the abiltiy of the modeling approach to offer new insights into offshore wind turbine operation and maintenance.
LanguageEnglish
PagesPaper GT2012-68985
Number of pages11
Publication statusPublished - 11 Jun 2012
EventASME Turbo Expo 2012 - Copenhagen, Denmark
Duration: 11 Jun 201215 Jun 2012

Conference

ConferenceASME Turbo Expo 2012
CountryDenmark
CityCopenhagen
Period11/06/1215/06/12

Fingerprint

Offshore wind turbines
Time series
Repair
Availability
Costs

Keywords

  • offshore
  • wind turbine
  • operation
  • maintenance
  • novel time domain
  • modeling approach
  • meteo-ocean

Cite this

Dinwoodie, I. A., McMillan, D., & Quail, F. (2012). Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. Paper GT2012-68985. Paper presented at ASME Turbo Expo 2012, Copenhagen, Denmark.
Dinwoodie, Iain Allan ; McMillan, David ; Quail, Francis. / Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. Paper presented at ASME Turbo Expo 2012, Copenhagen, Denmark.11 p.
@conference{f94533a08cc741abad2de4a2ce64bbe0,
title = "Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach",
abstract = "This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of site data are captured. In addition, seasonality is included. Correlation observed between wind and wave site can be incorporated if simultaneous data exists. Using this approach a time series for both significant wave height and mean wind speed is described. This allows MTTR to be implemented within the reliability simulation as a variable process, dependent on significant wave height. This approach automatically captures site characteristics including seasonality and allows for complex analysis using time dependent constaints such as working patterns to be implemented. A simple cost model for lost revenues determined by the concurrent simulated wind speed is also presented. A preliminary investigation of the influence of component reliability and access thresholds at various existing sites on availability is presented demonstrating the abiltiy of the modeling approach to offer new insights into offshore wind turbine operation and maintenance.",
keywords = "offshore, wind turbine, operation, maintenance, novel time domain , modeling approach, meteo-ocean",
author = "Dinwoodie, {Iain Allan} and David McMillan and Francis Quail",
year = "2012",
month = "6",
day = "11",
language = "English",
pages = "Paper GT2012--68985",
note = "ASME Turbo Expo 2012 ; Conference date: 11-06-2012 Through 15-06-2012",

}

Dinwoodie, IA, McMillan, D & Quail, F 2012, 'Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach' Paper presented at ASME Turbo Expo 2012, Copenhagen, Denmark, 11/06/12 - 15/06/12, pp. Paper GT2012-68985.

Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. / Dinwoodie, Iain Allan; McMillan, David; Quail, Francis.

2012. Paper GT2012-68985 Paper presented at ASME Turbo Expo 2012, Copenhagen, Denmark.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach

AU - Dinwoodie, Iain Allan

AU - McMillan, David

AU - Quail, Francis

PY - 2012/6/11

Y1 - 2012/6/11

N2 - This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of site data are captured. In addition, seasonality is included. Correlation observed between wind and wave site can be incorporated if simultaneous data exists. Using this approach a time series for both significant wave height and mean wind speed is described. This allows MTTR to be implemented within the reliability simulation as a variable process, dependent on significant wave height. This approach automatically captures site characteristics including seasonality and allows for complex analysis using time dependent constaints such as working patterns to be implemented. A simple cost model for lost revenues determined by the concurrent simulated wind speed is also presented. A preliminary investigation of the influence of component reliability and access thresholds at various existing sites on availability is presented demonstrating the abiltiy of the modeling approach to offer new insights into offshore wind turbine operation and maintenance.

AB - This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of site data are captured. In addition, seasonality is included. Correlation observed between wind and wave site can be incorporated if simultaneous data exists. Using this approach a time series for both significant wave height and mean wind speed is described. This allows MTTR to be implemented within the reliability simulation as a variable process, dependent on significant wave height. This approach automatically captures site characteristics including seasonality and allows for complex analysis using time dependent constaints such as working patterns to be implemented. A simple cost model for lost revenues determined by the concurrent simulated wind speed is also presented. A preliminary investigation of the influence of component reliability and access thresholds at various existing sites on availability is presented demonstrating the abiltiy of the modeling approach to offer new insights into offshore wind turbine operation and maintenance.

KW - offshore

KW - wind turbine

KW - operation

KW - maintenance

KW - novel time domain

KW - modeling approach

KW - meteo-ocean

UR - https://www.asmeconferences.org/TE2012/index.cfm

M3 - Paper

SP - Paper GT2012-68985

ER -

Dinwoodie IA, McMillan D, Quail F. Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. 2012. Paper presented at ASME Turbo Expo 2012, Copenhagen, Denmark.