Wind turbine lifetime extension decision-making based on structural health monitoring

Research output: Contribution to journalArticle

Abstract

In this work, structural health monitoring data is applied to underpin a long-term wind farm lifetime extension strategy. Based on the outcome of the technical analysis, the case for an extended lifetime of 15 years is argued. Having established the lifetime extension strategy, the single wind turbine investigated within a wind farm is subjected to a bespoke economic lifetime extension case study. In this case study, the local wind resource is taken into consideration, paired with central, optimistic, and pessimistic operational cost assumptions. Besides a deterministic approach, a stochastic analysis is carried out based on Monte Carlo simulations of selected scenarios. Findings reveal the economic potential to operate profitably in a subsidy-free environment with a P90 levelised cost of energy of £25.02 if no component replacement is required within the nacelle and £42.53 for a complete replacement of blades, generator, and gearbox.
LanguageEnglish
Pages611-621
Number of pages11
JournalRenewable Energy
Volume143
Early online date13 May 2019
DOIs
Publication statusE-pub ahead of print - 13 May 2019

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Structural health monitoring
Wind turbines
Decision making
Farms
Economics
Costs

Keywords

  • structural health monitoring
  • wind turbine
  • lifetime extension
  • fatigue analysis
  • remaining useful lifetime
  • levelised cost of energy

Cite this

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title = "Wind turbine lifetime extension decision-making based on structural health monitoring",
abstract = "In this work, structural health monitoring data is applied to underpin a long-term wind farm lifetime extension strategy. Based on the outcome of the technical analysis, the case for an extended lifetime of 15 years is argued. Having established the lifetime extension strategy, the single wind turbine investigated within a wind farm is subjected to a bespoke economic lifetime extension case study. In this case study, the local wind resource is taken into consideration, paired with central, optimistic, and pessimistic operational cost assumptions. Besides a deterministic approach, a stochastic analysis is carried out based on Monte Carlo simulations of selected scenarios. Findings reveal the economic potential to operate profitably in a subsidy-free environment with a P90 levelised cost of energy of £25.02 if no component replacement is required within the nacelle and £42.53 for a complete replacement of blades, generator, and gearbox.",
keywords = "structural health monitoring, wind turbine, lifetime extension, fatigue analysis, remaining useful lifetime, levelised cost of energy",
author = "T. Rubert and G. Zorzi and G. Fusiek and P. Niewczas and D. McMillan and J. McAlorum and M. Perry",
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T1 - Wind turbine lifetime extension decision-making based on structural health monitoring

AU - Rubert, T.

AU - Zorzi, G.

AU - Fusiek, G.

AU - Niewczas, P.

AU - McMillan, D.

AU - McAlorum, J.

AU - Perry, M.

PY - 2019/5/13

Y1 - 2019/5/13

N2 - In this work, structural health monitoring data is applied to underpin a long-term wind farm lifetime extension strategy. Based on the outcome of the technical analysis, the case for an extended lifetime of 15 years is argued. Having established the lifetime extension strategy, the single wind turbine investigated within a wind farm is subjected to a bespoke economic lifetime extension case study. In this case study, the local wind resource is taken into consideration, paired with central, optimistic, and pessimistic operational cost assumptions. Besides a deterministic approach, a stochastic analysis is carried out based on Monte Carlo simulations of selected scenarios. Findings reveal the economic potential to operate profitably in a subsidy-free environment with a P90 levelised cost of energy of £25.02 if no component replacement is required within the nacelle and £42.53 for a complete replacement of blades, generator, and gearbox.

AB - In this work, structural health monitoring data is applied to underpin a long-term wind farm lifetime extension strategy. Based on the outcome of the technical analysis, the case for an extended lifetime of 15 years is argued. Having established the lifetime extension strategy, the single wind turbine investigated within a wind farm is subjected to a bespoke economic lifetime extension case study. In this case study, the local wind resource is taken into consideration, paired with central, optimistic, and pessimistic operational cost assumptions. Besides a deterministic approach, a stochastic analysis is carried out based on Monte Carlo simulations of selected scenarios. Findings reveal the economic potential to operate profitably in a subsidy-free environment with a P90 levelised cost of energy of £25.02 if no component replacement is required within the nacelle and £42.53 for a complete replacement of blades, generator, and gearbox.

KW - structural health monitoring

KW - wind turbine

KW - lifetime extension

KW - fatigue analysis

KW - remaining useful lifetime

KW - levelised cost of energy

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