PO145

Value opportunities from Operational Data- Condition Monitoring and Predictive Analytics

Nenad Keseric 1, Sverre Trollnes2
1ENOVA, Trondheim, Norway, 2Kongberg, Tronheim, Norway

Abstract

 All owners of windfarms should have access to vast amount of data from our assets.  Some of the more active owners have taken learnings from other industries and established a standard Information Management System (IMS) for the windfarms.  These systems enable storage and analysis of park performance and should open up for more predictive analytics related to turbine and balance of plant performance.  The current condition monitoring systems are limited to vibration analysis and cannot be used to monitor the performance of all sub-systems. The wind industry phases a challenge when it comes to demonstrate additional value creation from operational data from the IMS or vibration monitoring system.  Currently we us the data to challenge our service providers, if we do not perform maintenance in house, and to quality assure availability calculations.  As an owner that is good use of data and has proven valuable, but we need to look for additional value opportunities to make sure that we keep sliding down the cost curve for offshore wind. We have established a demonstration project to test and develop a condition monitoring system, with the aim to predict behaviour of the different sub-systems of a wind turbine.

Method

The project consists of three parts.  Firstly, to develop systems and algorithms to predict failures and assess remaining useful life. Secondly, to install additional instrumentation where current signals does not prove to be effective when it comes to predicting failures. Lastly, this information will be used to affect the maintenance program.  The goal is to move towards a condition based maintenance program for offshore wind turbines.

Results

The project will run until next summer, making a presentation in London feasible.  We have installed systems and done modifications to the instrumentation on the floating wind turbine owned and operated by Statoil.  Analysis have started and we have developed good indicators of system performance already.

Conclusions

The value that we can get from the IMS is underestimated and not utilised effectively.  The potential to increase availability by implementing effective failure elimination strategies is large in offshore wind.  The effect of unplanned outage is high for offshore wind due to the experienced lack of access to the turbines. Elimination of failures will therefore have a large impact on availability and the production.  With reduced failure rates the associated cost of operation will also go down if we succeed with this project.

Objectives