Open AccessEconomic evaluation of maintenance strategies for wind turbines: a stochastic analysis
Author(s) -
Kerres Bertrand,
Fischer Katharina,
Madlener Reinhard
Publication year - 2015
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2014.0260
Subject(s) - turbine , spare part , reliability engineering , wind power , reliability (semiconductor) , steam turbine , optimal maintenance , computer science , preventive maintenance , maintenance engineering , engineering , operations management , power (physics) , mechanical engineering , electrical engineering , physics , quantum mechanics
The authors develop a stochastic model for assessing the life‐cycle cost and availability of wind turbines resulting from different maintenance scenarios, with the objective to identify the most cost‐effective maintenance strategy. Using field‐data‐based reliability models, the wind turbine – in terms of reliability – is modelled as a serial connection of the most critical components. Both direct cost for spare parts, labour and access to the turbine, as well as indirect cost from production losses are explicitly taken into account. The model is applied to the case of a Vestas V44–600 kW wind turbine. Results of a reliability‐centred maintenance analysis of this wind turbine are used to select the most critical wind turbine components and to identify possible maintenance scenarios. This study reveals that corrective maintenance is the most cost‐effective maintenance strategy for the gearbox and the generator of the V44 turbine, while the cost benefit of condition‐based maintenance using online condition‐monitoring systems increases with higher electricity price, turbine capacity and remoteness of sites.