Wind farm operation and maintenance (O&M)
Understanding the mechanisms and factors in the relationship between maintenance organizations and wind farms that affect performance and costs will contribute to lowered operational expenditure significantly. Of special interest are how key resources are utilized, implementation of condition based maintenance, and the coordination of maintenance work among contractors and operators. To enable research on the relationship between wind farms and maintenance organisations a simulation model has been developed and verified. The simulation model is now being developed into a commercial decision support software by Shoreline AS, a company founded in October 2014, and has been used by Statoil on a UK Round 2 wind farm.
The goal is to create a framework for wind turbine park operators to develop a cost effective maintenance organisation and implement condition based maintenance for a safe and environmentally friendly operational phase.
For more information on the ongoing development of the simulation software by Shoreline visit www.shoreline.no.
Risk-based methods for O&M
Costs to O&M of offshore wind turbines are large, typically more than 25% of the cost of energy. The costs consist of planned maintenance and corrective maintenance due to failure of components such as gearboxes, electrical components, blades, corrosion and fatigue. One main contributor to the high offshore O&M uncertainty and costs is the dependence on weather windows. In other engineering areas such as the offshore oil & gas industry and civil engineering bridges, rational approaches to planning of O&M have been developed. These approaches are based on risk and reliability-based techniques where it is possible to plan rationally future actions based on available information at the time of decision and models for costs and uncertainties. The damage accumulation models are based on a physical modeling of the mechanical and material behavior of the ‘components’, e.g. fatigue damage and the consequences of ‘component‘ failure for the whole system. The goal is to develop risk-based methodologies to assist in decision making for optimal planning of operation and maintenance of offshore wind turbines – with focus on wind farms, i.e. for a system of wind turbines.
-PhD Thesis by Erik Kostandyan, Reliability Modeling of Wind Turbines: Exemplified by Power Converter Systems as Basis for O&M Planning