Wind Energy

Using maintenance options to maximize the benefits of prognostics for wind farms

G. Haddad, P. A. Sandborn and M. G. Pecht
Schlumberger Technology Center, 150 Gillingham Lane, Sugar Land, TX 77478
Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20740, USA


Many engineering systems incorporate prognostics and health management (PHM), which consists of technologies and methods to assess the reliability of a product in its actua l life-cycle conditions to determine the advent of failure and mitigate system risks. Wind turbines are among the syst ems that incorporate PHM to reduce life-cycle costs and increase availability. While cost-benefit models that quantif y the value of implementing prognostics within systems exist for wind energy systems, they do not specifically quantify the value of decisions after a prognostic indication. This paper introduces maintenance opti ons as a means to quantify the valu e of decisions after a prognostic indication. A case study on a US land-based wind farm is di scussed. An analysis of wind turbine maintenance data is presented, and the maintenance options methodology is th en demonstrated to establish the value of the wait-to- maintain option. The value of waiting after a prognostic in dication is determined using a model that quantifies the benefit that results from a PHM implementation that allows the decision-maker to delay maintenance actions, thereby using the remaining life of the system components rather than throwing it away.

Complete article available to CALCE Consortium Members.

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