An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool

Aoife Foley, Joanne Mitchell, John Doran

Research output: Contribution to conferencePaper

Abstract

In recent years in the offshore wind industry, auction prices for energy have declined in Denmark, Germany and England. This decline can be linked to three main issues 1) access to the offshore grid network, 2) bigger turbines and 3) improved development, installation and commission experience. Nonetheless, an aspect of offshore wind requiring further development is operations and maintenance as these costs are currently one third of the total life cycle of a wind turbine. Utilising an effective management/planning tool for offshore wind turbine stops, downtime and fault diagnostics will provide a plethora of benefits - increasing the supply of energy, reducing the dependence and need for imported fossil fuels, hence reducing greenhouse gas emissions, and improving the management of spending in the industry. Offshore systems require high man power investment, data storage and monitoring 24 7, 365 days a year as each offshore turbine operates with approximately 3,200 parameters, gathered at different time resolutions. Since many turbines are still currently under full warranty, ‘service’ costs are not a major concern within operations and maintenance. As warranties expire, organising maintenance will become a major section of the wind turbine industry to ensure that this industry will be sustained on a commercial basis to provide energy into the long term future. The aim of this work is to create a novel cloud-based mechanical-power electronic coupled fault diagnostic tool which will identify service and equipment requirements and optimise logistics of technicians and crew of transfer vessels proactively, rather than reactively, to reduce operational and maintenance costs. This paper presents the first stage of this development of this proactive tool.
Original languageEnglish
Pages1-6
Number of pages6
Publication statusPublished - 08 May 2018
Event11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018) - University of the West of Scotland, Paisley, United Kingdom
Duration: 08 May 201811 May 2018

Conference

Conference11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018)
CountryUnited Kingdom
CityPaisley
Period08/05/201811/05/2018

Fingerprint

Offshore wind turbines
Power electronics
Turbines
Wind turbines
Industry
Costs
Gas emissions
Fossil fuels
Greenhouse gases
Logistics
Life cycle
Data storage equipment
Planning
Monitoring

Keywords

  • Wind power
  • Fault diagnostics
  • Operations
  • Maintenance
  • Prediction

Cite this

Foley, A., Mitchell, J., & Doran, J. (2018). An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool. 1-6. Paper presented at 11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018), Paisley, United Kingdom.
Foley, Aoife ; Mitchell, Joanne ; Doran, John. / An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool. Paper presented at 11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018), Paisley, United Kingdom.6 p.
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Foley, A, Mitchell, J & Doran, J 2018, 'An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool', Paper presented at 11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018), Paisley, United Kingdom, 08/05/2018 - 11/05/2018 pp. 1-6.

An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool. / Foley, Aoife; Mitchell, Joanne; Doran, John.

2018. 1-6 Paper presented at 11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018), Paisley, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool

AU - Foley, Aoife

AU - Mitchell, Joanne

AU - Doran, John

PY - 2018/5/8

Y1 - 2018/5/8

N2 - In recent years in the offshore wind industry, auction prices for energy have declined in Denmark, Germany and England. This decline can be linked to three main issues 1) access to the offshore grid network, 2) bigger turbines and 3) improved development, installation and commission experience. Nonetheless, an aspect of offshore wind requiring further development is operations and maintenance as these costs are currently one third of the total life cycle of a wind turbine. Utilising an effective management/planning tool for offshore wind turbine stops, downtime and fault diagnostics will provide a plethora of benefits - increasing the supply of energy, reducing the dependence and need for imported fossil fuels, hence reducing greenhouse gas emissions, and improving the management of spending in the industry. Offshore systems require high man power investment, data storage and monitoring 24 7, 365 days a year as each offshore turbine operates with approximately 3,200 parameters, gathered at different time resolutions. Since many turbines are still currently under full warranty, ‘service’ costs are not a major concern within operations and maintenance. As warranties expire, organising maintenance will become a major section of the wind turbine industry to ensure that this industry will be sustained on a commercial basis to provide energy into the long term future. The aim of this work is to create a novel cloud-based mechanical-power electronic coupled fault diagnostic tool which will identify service and equipment requirements and optimise logistics of technicians and crew of transfer vessels proactively, rather than reactively, to reduce operational and maintenance costs. This paper presents the first stage of this development of this proactive tool.

AB - In recent years in the offshore wind industry, auction prices for energy have declined in Denmark, Germany and England. This decline can be linked to three main issues 1) access to the offshore grid network, 2) bigger turbines and 3) improved development, installation and commission experience. Nonetheless, an aspect of offshore wind requiring further development is operations and maintenance as these costs are currently one third of the total life cycle of a wind turbine. Utilising an effective management/planning tool for offshore wind turbine stops, downtime and fault diagnostics will provide a plethora of benefits - increasing the supply of energy, reducing the dependence and need for imported fossil fuels, hence reducing greenhouse gas emissions, and improving the management of spending in the industry. Offshore systems require high man power investment, data storage and monitoring 24 7, 365 days a year as each offshore turbine operates with approximately 3,200 parameters, gathered at different time resolutions. Since many turbines are still currently under full warranty, ‘service’ costs are not a major concern within operations and maintenance. As warranties expire, organising maintenance will become a major section of the wind turbine industry to ensure that this industry will be sustained on a commercial basis to provide energy into the long term future. The aim of this work is to create a novel cloud-based mechanical-power electronic coupled fault diagnostic tool which will identify service and equipment requirements and optimise logistics of technicians and crew of transfer vessels proactively, rather than reactively, to reduce operational and maintenance costs. This paper presents the first stage of this development of this proactive tool.

KW - Wind power

KW - Fault diagnostics

KW - Operations

KW - Maintenance

KW - Prediction

M3 - Paper

SP - 1

EP - 6

ER -

Foley A, Mitchell J, Doran J. An offshore wind turbine mechanical-power electronic coupled fault diagnostic tool. 2018. Paper presented at 11th INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY & ENVIRONMENTAL PROTECTION (SEEP2018), Paisley, United Kingdom.