Transcript Document

Availability-based design
optimization of offshore
wind farm
Background and aim
PhD Candidate: Cyril Boussion
Department: AWEP
Section: Wind Energy
Supervisor: G. van Bussel
Promoter: G. van Bussel
Start date: 01-02-2012
Funding: FLOW
Availability is a critical issue for offshore wind farms
Offshore wind is a promising energy resource in order to face the climate
change and to reduce the gas emissions.
Over the last decade, this sector has experienced a very rapid growth,
wind turbines have become powerful and wind parks bigger.
However, the availability of the wind farms is still low, the costs for a
repair are increasing and the loss of energy is high if a turbine stops.
This research aims to find ways to increase the availability of
offshore wind farms.
+ Low accessibility
+ Harsh environment
+ High travel time
+ …
 Low availability
 High O&M costs
The availability of a wind
turbine is the percentage of
time it is mechanically able
to produce electricity.
The availability is a function of machine properties, site accessibility and maintenance strategy:
Accessibility to
the site
Reliability
failures/year
Maintainability
ease of repair
Examples of maintenance operations on offshore wind turbines
availability
Serviceability
Maintenance
strategy
ease of service
(source: Areva, Siemens)
Optimization of the sensor network use
Design for reconfiguration
Current situation
If a minor failure occurs, the wind turbine may be able to work anyway. A
function of the wind turbine may be carried out in a different way, until the
failure is repaired. During that period, the efficiency and the performance of the
wind turbine are usually lower than during the normal operation mode.
On a wind turbine (WT), hundreds of sensors are found at different location and used for control and
performance optimization, but also condition-based maintenance. Unfortunately, a high number of
sensors leads to more complexity in the analysis.
Aerospace Engineering
Real
availability
Theoretical
A reasoning system can improve the data analysis
Wind turbine
working and healthy
Pitch system fails,
turbine stopped
The pitch system is
repaired by the
maintenance crew
Example of
reconfiguration
Wind turbine
working but not healthy
Reconfiguration:
Stall control instead
of pitch control
This part of the thesis has not been started yet.
First finding
The current working state can be identified with only six sensors: wind speed, ambient
temperature, pitch angle, yaw angle, power output, rotational speed.
IEA Wind Task 33 on Reliability data
The reasoning system building is in progress!
I am involved in a task group, with Fraunhofer IWES, Sandia National Laboratories,
Chalmers University, China Wind Energy Association, DTU, Vattenfall, etc.
The purpose is to improve the “Standardization of data collection for wind turbine
reliability and maintenance analyses”.
Progress and objectives
Progress in the PhD:
Next step in the research:
Publications
The GO decision was taken last December.
The first conference presentation will be done next September at Stanford University, Stanford CA, USA.
Include new sensors in the reasoning system and test it with real data.
Start the reconfiguration part.
- C.G.F. Boussion, G.J.W van Bussel, “Optimization of the information needed for wind turbine health monitoring”, International Workshop on Structure Health Monitoring 2013, Stanford
University, Stanford CA, USA, to be published