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

Allan May, David McMillan, Sebastian Thöns

Research output: Contribution to conferencePoster

Abstract

The growth of the number and size of turbines installed worldwide has been large in recent years. The capital costs involved in the development and installation of wind farms have also increased. To ensure the maximum return on investment, operators are looking to maximize turbine availability and minimize Operation and Maintenance (O&M) costs. Condition Monitoring (CM) systems and Supervisory Control and Data Acquisition (SCADA) systems allow Condition Based Maintenance plans (CbM) to be used which offer possible O&M savings over both Failure based Maintenance (FbM) and Preventive Maintenance (PM) strategies.
LanguageEnglish
Publication statusPublished - 12 Nov 2014
EventDurham Risk Day 2014 - Durham, United Kingdom
Duration: 12 Nov 201412 Nov 2014

Seminar

SeminarDurham Risk Day 2014
CountryUnited Kingdom
CityDurham
Period12/11/1412/11/14

Fingerprint

Economic analysis
Condition monitoring
Wind turbines
Turbines
SCADA systems
Preventive maintenance
Farms
Costs
Availability

Keywords

  • risk
  • reliability
  • asset management
  • wind energy

Cite this

May, A., McMillan, D., & Thöns, S. (2014). Economic analysis of condition monitoring systems for wind turbine sub-systems. Poster session presented at Durham Risk Day 2014, Durham, United Kingdom.
May, Allan ; McMillan, David ; Thöns, Sebastian. / Economic analysis of condition monitoring systems for wind turbine sub-systems. Poster session presented at Durham Risk Day 2014, Durham, United Kingdom.
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May, A, McMillan, D & Thöns, S 2014, 'Economic analysis of condition monitoring systems for wind turbine sub-systems' Durham Risk Day 2014, Durham, United Kingdom, 12/11/14 - 12/11/14, .

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

2014. Poster session presented at Durham Risk Day 2014, Durham, United Kingdom.

Research output: Contribution to conferencePoster

TY - CONF

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

AU - May, Allan

AU - McMillan, David

AU - Thöns, Sebastian

PY - 2014/11/12

Y1 - 2014/11/12

N2 - The growth of the number and size of turbines installed worldwide has been large in recent years. The capital costs involved in the development and installation of wind farms have also increased. To ensure the maximum return on investment, operators are looking to maximize turbine availability and minimize Operation and Maintenance (O&M) costs. Condition Monitoring (CM) systems and Supervisory Control and Data Acquisition (SCADA) systems allow Condition Based Maintenance plans (CbM) to be used which offer possible O&M savings over both Failure based Maintenance (FbM) and Preventive Maintenance (PM) strategies.

AB - The growth of the number and size of turbines installed worldwide has been large in recent years. The capital costs involved in the development and installation of wind farms have also increased. To ensure the maximum return on investment, operators are looking to maximize turbine availability and minimize Operation and Maintenance (O&M) costs. Condition Monitoring (CM) systems and Supervisory Control and Data Acquisition (SCADA) systems allow Condition Based Maintenance plans (CbM) to be used which offer possible O&M savings over both Failure based Maintenance (FbM) and Preventive Maintenance (PM) strategies.

KW - risk

KW - reliability

KW - asset management

KW - wind energy

UR - https://www.dur.ac.uk/dei/events/risk2014/

M3 - Poster

ER -

May A, McMillan D, Thöns S. Economic analysis of condition monitoring systems for wind turbine sub-systems. 2014. Poster session presented at Durham Risk Day 2014, Durham, United Kingdom.