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The purpose of BruWind is to consolidate the wind energy research present at several research institutions in Brussels and to facilitate

cooperation and maximize visibility.

Brussels Wind Energy Research Institute

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Aims BruWind

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Centralizing knowledge on wind energy in BrusselsBy grouping Brussels academic Institutions in one multidisciplinary research platform

Sharing knowledge about wind energy Increasing credibility by working together

In relation to others, each of us represents everybodyProviding our joint expertise and infrastructure to others

Increasing visibility of our knowledge and expertise Creating a Website / BrochureParticipation at conferences and trade fairs

Participating in European NetworksAttracting European contractsCooperation with other international groups

Developing an Industrial Advisory BoardClosing the gap between industry needs and academic research Organizing networking events

BruWind = facilitator

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BruWind Institutions

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Brussels Wind Energy Research Institute is joining the efforts of several research groups in Brussels active in the field of wind energy. Its research program covers

several aspects of modern wind turbine technology.

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BruWind Members: Research Groups

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Brussels Wind Energy Research Institute is joining the efforts of several research groups in Brussels active in the field of wind energy. Its research program covers

several aspects of modern wind turbine technology.

PRESENTATION RESEARCH ACTIVITIES

BEAMS: POWER SYSTEMSGrid integration and Electrical Machines

  GOALS: Grid integration, electrical machine, train and

power plant protections Power Quality analysis wide area monitoring, protection and control numerical electromagnetics design and modelling of electrical machines fault detection and fault tolerance simulation and control of electrical drives

SAAS: OPERATION AND MAINTENANCEFault detection and control

  GOALS: Development of systems for the

detection and the localization of incipient faults in the sensors, the actuators and the components of wind-turbines with a view to predictive maintenance

Assessment and monitoring of the performance of the control loops

Development of advance control methods achieving suitable trade-offs between the different control objectives over the entire operating range of the wind-turbine

Development of control reconfiguration strategies allowing to keep the wind-turbine in operation, possibly in a degraded mode, after the occurrence of a fault

Fault detection & localization

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AVRG - NOISE AND VIBRATIONS:Dynamic Behavior of Wind Turbines

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  GOALS: Identifying the dynamic behavior form structures

during their operating conditions, using responses only

Continuous monitoring of damping values and resonant frequencies

Using advanced operational modal analysis techniques for rotating machines using e.g. transmissibility measurements

BATIR: Vibration based Structural Health Monitoring

  GOALS: Automated strategies for on-line monitoring

under variable environmental conditions Ambient vibrations

Efficient signal processing

Data-based techniques

Automated processing

Statistical analysis

Optimal Sensor Placement

Instrumentation for permanent vibration monitoring State-of-the-art technology

Accelerometers (seismic)

Strain gauges

Fiber optic FBGS sensors

Research on new sensor technologies

Long gauge strain sensors (FBGS based)

Piezoelectric sensors

MEMC - STRENGTH AND MATERIALSBiaxial Material Behaviour

=> Experimental data needed In-plane loading ofcruciform specimen

Biaxial behavior in e.g. wind turbine blade Biaxial test method at MeMC

Cruciform specimen design

Glassfibre reinforced epoxy materialLayup frequently used for wind turbine blades

(LM Glassfibre)

  GOALS: Identifying the material behavior

during biaxial loads

MEMC - STRENGTH AND MATERIALS:Blade Subcomponent Testing

sandwich

Blade root

Flanges, web, bondlines

Aim = tests at mid-scale => subcomponent tests4-point bending and cantilever tests on I-

beams to test bonding in real blade

Acoustics & Vibration Research Group

Vrije Universiteit Brussel

  GOALS: Identifying the material behavior of wind turbine

blades using subcomponent tests during biaxial loads

AVRG - NOISE AND VIBRATIONS:Load and Source Identification

  GOALS: Identifying time-varying wind loads on structures from in situ

vibration response data using inverse methods Identifying acoustic sources on structures from in situ pressure

data using inverse methods

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AVRG - NOISE AND VIBRATIONS:Advanced measurement techniques

In combination with Modal Analysis software a strong tool to determine the resonate frequencies, damping factors and mode shapes

Long distant LDV can measure up to a distant of 200m

Long distant LDV

  GOALS: Development of advanced data processing

techniques for contact-less measurements using e.g. laser doppler vibrometer

Visualization and analysis of structural vibrations

AVRG - NOISE AND VIBRATIONStructural Health Monitoring

  GOALS: Acquiring and testing state of the art monitoring

systems e.g.MEMS Sensors, fiber optic sensors Development of advanced data processing

techniques, automated monitoring, tracking and clustering techniques

Monitoring of blades, towers and foundations using Operational Modal Analysis and Transmissibility measurements

TONA -OPTICAL SENSORSMicrostructured optical fiber sensors

  GOALS: Development of optical fiber sensors

with highly improved transverse load sensitivity

Development of optical fiber sensors Insensitivity to temperature

Embedding optical fiber sensors in wind turbine blades for structural health monitoring

Transversal load sensitivity of our sensor is 10x larger than in state-of-the-art fibers

Microstructured optical fiber sensors successfully embedded in carbon-fiber reinforced polymer

SURF - CORROSION MANAGEMETNSPredictions and Validation

Corrosion management, by

- Potential model (distribution), together with Elsy.ca (SURF Spin-off)

- Including cathodic protection (CP) predictions

- Possibility to integrate specific corrosion effects (local corrosion, galvanic coupling…)

- Influence of liquid film on structure- Influence of evolving splash zone

- Sensor to detect and quantify corrosion taking place on structure

- Continuous and in-line monitoring (condition monitoring)

- Can be coupled with CP to reduce CP cost

- Used to schedule repainting / repair cycles

- Can cover specific targets or general structure

Prototype

prediction validation

CFD Simulations over Complex TerrainsFLUI - AERODYNAMICS AND AEROELASTICSCFD simulations over complex terrains

  Wind Flow over complex terrains

  New Meshing Strategies (unstructured grids)

  GOALS: Computational Fluid Dynamics used to predict the wind over complex terrains Development of new algorithms: RANS approach with wall functions The use of new meshing strategies unstructured grids

IWT - RESOURCE ASSESSMENTMicro-siting

  GOALS: Resource assessment using CFD, site geometry, google

earth geographical data, measurements Determine optimal location for turbine(s) on given site

especially complex terrain, incl. (semi-)built environment

CFD Simulations over Complex TerrainsFLUI - AERODYNAMICS AND AEROELASTICSWind Farm Optimization

Wind Farm Layout optimization Wind Farm Control optimization

NOT acceptable layout

Acceptable layout

• Optimization based on• CFD simulations• Neural networks• Genetic algorithms• Robust optimization using non-deterministic methods

• Two optimizations are considered• Wind farm layout: positioning of wind turbines in the farm• Wind farm control: power setting of individual turbines for

max wind farm production

  GOALS: Optimizing the yield of wind farms taking in account the wakes

WEBSITE AND BROCHURE

Current online Activities

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www.bruwind.eu

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Share knowledge and Increase Visibility

By organizing meetings and events, creating a website and brochure, joining fares...

www.bruwind.eu

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Contact:Dr. ir. Christof Devriendt

Vrije Universiteit Brussel | Pleinlaan 2 | B-1050 Brussel | Belgium

Dept. of Mechanical Engineering | Acoustics & Vibration Research Group

Tel. +32 2 6292390 | Fax +32 2 6292865 | GSM +32 477412049

Mail: christof.devriendt@vub.ac.be

www.bruwind.eu