Roozbeh Bakhshi, Peter Sandborn, Xin Lei and Amir Kashani-Pour
Center for Advanced Life Cycle Engineering (CALCE), Department of Mechanical Engineering, University of Maryland, College Park, MD 20740, USA
Accurate life-cycle costing is a key enabler for wind farm operation and
maintenance (O&M) optimization. Research has shown that maintenance, for both on and
offshore installations, is not optimized and that significant opportunities exist for
reducing the total cost for maintenance activities and the cost due to production losses,
especially for large wind farms. This paper describes a stochastic model for detailed life-cycle
cost analysis and associated return on investment (ROI) analysis that can be used to
assess offshore wind farm O&M management alternatives and technologies. A case study
that examines the return on investment for the implementation of prognostics and health
management (PHM) systems on a wind turbine is presented.
Complete article available to CALCE Consortium Members.