Modelling the impact of the environment on offshore wind turbine failure rates

Graeme Wilson, David McMillan

Research output: Contribution to conferencePaper

Abstract

For offshore wind turbines to become an economical energy generation option it is vital that the impact of the offshore environment on reliability is understood. This paper aims to model the impact of the wind speed and the external humidity and temperature. This is achieved using reliability data comprising of two modern, large scale wind farm sites consisting of approximately 380 wind turbine years of data. Weather data comes from a nearby weather station and an onsite met mast. A model is developed, using the reliability data, which calculates weather dependant failure rates and downtimes which are used to populate a Markov Chain. Monte Carlo simulation is then exercised to simulate the lifetime of a large scale wind farm which is subjected to controlled weather conditions. The model then calculates wind farm availability and component seasonal failure rates. Results show that offshore, the wind speed will have the biggest impact on component reliability, increasing the wind turbine failure rate by approximately 61%. The components affected most by this are the control system and the drive train. The higher offshore wind speeds appear to cause a higher proportion of major failures than experienced onshore. Research from this paper will be of interest to operators and wind turbine manufacturers who are interested in maintenance costs and logistics.
LanguageEnglish
Number of pages11
Publication statusPublished - Nov 2013
EventEWEA Offshore 2013 - Frankfurt, Germany
Duration: 19 Nov 201321 Nov 2013

Conference

ConferenceEWEA Offshore 2013
CountryGermany
CityFrankfurt
Period19/11/1321/11/13

Fingerprint

Offshore wind turbines
Wind turbines
Farms
Markov processes
Logistics
Atmospheric humidity
Availability
Control systems
Costs

Keywords

  • offshore wind energy
  • wind turbine failure
  • environment monitoring

Cite this

Wilson, G., & McMillan, D. (2013). Modelling the impact of the environment on offshore wind turbine failure rates. Paper presented at EWEA Offshore 2013, Frankfurt, Germany.
Wilson, Graeme ; McMillan, David. / Modelling the impact of the environment on offshore wind turbine failure rates. Paper presented at EWEA Offshore 2013, Frankfurt, Germany.11 p.
@conference{3af8082a3b6d43dc87ed6251e7796dac,
title = "Modelling the impact of the environment on offshore wind turbine failure rates",
abstract = "For offshore wind turbines to become an economical energy generation option it is vital that the impact of the offshore environment on reliability is understood. This paper aims to model the impact of the wind speed and the external humidity and temperature. This is achieved using reliability data comprising of two modern, large scale wind farm sites consisting of approximately 380 wind turbine years of data. Weather data comes from a nearby weather station and an onsite met mast. A model is developed, using the reliability data, which calculates weather dependant failure rates and downtimes which are used to populate a Markov Chain. Monte Carlo simulation is then exercised to simulate the lifetime of a large scale wind farm which is subjected to controlled weather conditions. The model then calculates wind farm availability and component seasonal failure rates. Results show that offshore, the wind speed will have the biggest impact on component reliability, increasing the wind turbine failure rate by approximately 61{\%}. The components affected most by this are the control system and the drive train. The higher offshore wind speeds appear to cause a higher proportion of major failures than experienced onshore. Research from this paper will be of interest to operators and wind turbine manufacturers who are interested in maintenance costs and logistics.",
keywords = "offshore wind energy, wind turbine failure, environment monitoring",
author = "Graeme Wilson and David McMillan",
year = "2013",
month = "11",
language = "English",
note = "EWEA Offshore 2013 ; Conference date: 19-11-2013 Through 21-11-2013",

}

Wilson, G & McMillan, D 2013, 'Modelling the impact of the environment on offshore wind turbine failure rates' Paper presented at EWEA Offshore 2013, Frankfurt, Germany, 19/11/13 - 21/11/13, .

Modelling the impact of the environment on offshore wind turbine failure rates. / Wilson, Graeme; McMillan, David.

2013. Paper presented at EWEA Offshore 2013, Frankfurt, Germany.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Modelling the impact of the environment on offshore wind turbine failure rates

AU - Wilson, Graeme

AU - McMillan, David

PY - 2013/11

Y1 - 2013/11

N2 - For offshore wind turbines to become an economical energy generation option it is vital that the impact of the offshore environment on reliability is understood. This paper aims to model the impact of the wind speed and the external humidity and temperature. This is achieved using reliability data comprising of two modern, large scale wind farm sites consisting of approximately 380 wind turbine years of data. Weather data comes from a nearby weather station and an onsite met mast. A model is developed, using the reliability data, which calculates weather dependant failure rates and downtimes which are used to populate a Markov Chain. Monte Carlo simulation is then exercised to simulate the lifetime of a large scale wind farm which is subjected to controlled weather conditions. The model then calculates wind farm availability and component seasonal failure rates. Results show that offshore, the wind speed will have the biggest impact on component reliability, increasing the wind turbine failure rate by approximately 61%. The components affected most by this are the control system and the drive train. The higher offshore wind speeds appear to cause a higher proportion of major failures than experienced onshore. Research from this paper will be of interest to operators and wind turbine manufacturers who are interested in maintenance costs and logistics.

AB - For offshore wind turbines to become an economical energy generation option it is vital that the impact of the offshore environment on reliability is understood. This paper aims to model the impact of the wind speed and the external humidity and temperature. This is achieved using reliability data comprising of two modern, large scale wind farm sites consisting of approximately 380 wind turbine years of data. Weather data comes from a nearby weather station and an onsite met mast. A model is developed, using the reliability data, which calculates weather dependant failure rates and downtimes which are used to populate a Markov Chain. Monte Carlo simulation is then exercised to simulate the lifetime of a large scale wind farm which is subjected to controlled weather conditions. The model then calculates wind farm availability and component seasonal failure rates. Results show that offshore, the wind speed will have the biggest impact on component reliability, increasing the wind turbine failure rate by approximately 61%. The components affected most by this are the control system and the drive train. The higher offshore wind speeds appear to cause a higher proportion of major failures than experienced onshore. Research from this paper will be of interest to operators and wind turbine manufacturers who are interested in maintenance costs and logistics.

KW - offshore wind energy

KW - wind turbine failure

KW - environment monitoring

UR - http://www.ewea.org/offshore2013/conference/

M3 - Paper

ER -

Wilson G, McMillan D. Modelling the impact of the environment on offshore wind turbine failure rates. 2013. Paper presented at EWEA Offshore 2013, Frankfurt, Germany.