Economic analysis of condition monitoring systems for offshore wind turbine sub-systems

Allan May, David McMillan, Sebastian Thoens

Research output: Contribution to conferencePaper

Abstract

The use of condition monitoring systems on wind turbines has increased dramatically in recent times. However, their use is mostly restricted to vibration based monitoring systems for the gearbox, generator and drive train. There are many forms and types of condition monitoring systems now available for wind turbines. A survey of commercially available condition monitoring systems and their associated costs has been undertaken for the blades, drive train and tower. This paper considers what value can be obtained from these systems if they are used correctly. This is achieved by running simulations on an operations and maintenance model for a 20 year life cycle wind farm. The model uses Hidden Markov Models to represent both the actual system state and the observed state. The costs for system failures are derived, as are possible reductions in these costs due to early detection. Various scenarios are simulated including the addition of condition monitoring systems to the drive train and blade and tower monitoring. Finally, the efficacy of these systems is examined and its effect on operation costs.

Conference

ConferenceEWEA Annual Conference 2014
CountrySpain
CityBarcelona
Period10/03/1414/03/14
Internet address

Fingerprint

Offshore wind turbines
Economic analysis
Condition monitoring
Wind turbines
Towers
Costs
Monitoring
Hidden Markov models
Farms
Life cycle

Keywords

  • economic analysis
  • offshore wind turbine
  • wind energy
  • operations and maintenance
  • condition monitoring
  • structural health

Cite this

May, A., McMillan, D., & Thoens, S. (2014). Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. Paper presented at EWEA Annual Conference 2014, Barcelona, Spain.
May, Allan ; McMillan, David ; Thoens, Sebastian. / Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. Paper presented at EWEA Annual Conference 2014, Barcelona, Spain.
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May, A, McMillan, D & Thoens, S 2014, 'Economic analysis of condition monitoring systems for offshore wind turbine sub-systems' Paper presented at EWEA Annual Conference 2014, Barcelona, Spain, 10/03/14 - 14/03/14, .

Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. / May, Allan; McMillan, David; Thoens, Sebastian.

2014. Paper presented at EWEA Annual Conference 2014, Barcelona, Spain.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Economic analysis of condition monitoring systems for offshore wind turbine sub-systems

AU - May, Allan

AU - McMillan, David

AU - Thoens, Sebastian

PY - 2014/3

Y1 - 2014/3

N2 - The use of condition monitoring systems on wind turbines has increased dramatically in recent times. However, their use is mostly restricted to vibration based monitoring systems for the gearbox, generator and drive train. There are many forms and types of condition monitoring systems now available for wind turbines. A survey of commercially available condition monitoring systems and their associated costs has been undertaken for the blades, drive train and tower. This paper considers what value can be obtained from these systems if they are used correctly. This is achieved by running simulations on an operations and maintenance model for a 20 year life cycle wind farm. The model uses Hidden Markov Models to represent both the actual system state and the observed state. The costs for system failures are derived, as are possible reductions in these costs due to early detection. Various scenarios are simulated including the addition of condition monitoring systems to the drive train and blade and tower monitoring. Finally, the efficacy of these systems is examined and its effect on operation costs.

AB - The use of condition monitoring systems on wind turbines has increased dramatically in recent times. However, their use is mostly restricted to vibration based monitoring systems for the gearbox, generator and drive train. There are many forms and types of condition monitoring systems now available for wind turbines. A survey of commercially available condition monitoring systems and their associated costs has been undertaken for the blades, drive train and tower. This paper considers what value can be obtained from these systems if they are used correctly. This is achieved by running simulations on an operations and maintenance model for a 20 year life cycle wind farm. The model uses Hidden Markov Models to represent both the actual system state and the observed state. The costs for system failures are derived, as are possible reductions in these costs due to early detection. Various scenarios are simulated including the addition of condition monitoring systems to the drive train and blade and tower monitoring. Finally, the efficacy of these systems is examined and its effect on operation costs.

KW - economic analysis

KW - offshore wind turbine

KW - wind energy

KW - operations and maintenance

KW - condition monitoring

KW - structural health

UR - http://www.ewea.org/annual2014/

M3 - Paper

ER -

May A, McMillan D, Thoens S. Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. 2014. Paper presented at EWEA Annual Conference 2014, Barcelona, Spain.