Big Data Europe 2nd Workshop in Enegry, Brussels 4/10/2016

1. Big Data Europe
Pilot case in System Monitoring Energy
BigDataEurope 2nd SC3 Workshop, Brussels 4/10/164-oct.-16
F. Mouzakis (CRES)

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Use Case (Scenario, Pilot)
Title: System monitoring in energy production units
Objective:Provide a tool for handling the analysis of large data sets, tailored for
distributed and highly sampled sensors
Field/Stakeholders: The pilot addresses RES developers, researchers in CMS systems,
manufacturers, CMS and IT service providers in wind energy field
Other Use: Sensor data cases (transport, manufacturing and other related industrial fields)

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The management of large number of distributed energy production systems present challenges in
operation monitoring, maintenance and production forecasting. In renewable energy production, the
stochastic nature of the resource input, poses an additional challenge.
In order to meet the above challenges, an extensive network of sensors operates and produces data
continually supporting decision making. In research field experimental systems are generating data that
feed procedures under development. Constraints in data volume lead to degradation of their value.
For the reduction of energy cost, the increase of production reliability and the increase of renewables
penetration (all major aspects of the societal challenge) the new developments in Information
Technology have to be combined with the Operation Technology exploiting in a holistic approach the
data collection, management and analytics.
Problem Definition

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The following user workflows are supported:
 Monitoring of the operational status of the units, considering the cluster operation in total
 Incorporation of third party systems (condition monitoring systems, experimental research
modules) into the monitoring process and performing correlated assessment
 (optional) Support preventive maintenance strategy based on fleet operational data
 (optional) Power production prognostics
The pilot receives data (raw sensor and locally analyzed data) and maintains the campaign data base
(with functionalities of content preview, visualization, querying etc).
Except from the built-in analytics the user will be able to select data for custom analysis.
Scenario

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Primary Content/Data Involved
Type: SCADA and CMS data on a Wind Turbine specifically instrumented for BDE
Status: Open
Sensors: Operational parameters, Vibration, Mechanical Loading, Power Quality etc
Format: Third party (TDMS technical data management streaming) – preprocessing foreseen
Acquisition technology: Field Programmable Gate Arrays (FPGA)
Sampling rate: from 200Hz for operational parameters up to 50kHz for vibration & power quality
Streaming volume: 3 distributed units yield ~14Gb/hour continuously
Scope: Long term monitoring for drive train health monitoring research
Analytics: engineering signal analysis, research on parameterics, fault identification and loop with
updated methodologies on raw data
Operation of pilot: 1 year

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CRES Wind Farm
4-oct.-16www.big-data-europe.eu
Monitored WT
Neg-Micon 750kW

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CRES CM system on NegMicon 750kW WT
4-oct.-16www.big-data-europe.eu
The SCADA software provides indicatively the following
data for the condition monitoring system:
- system operational statuses/parameters
- wind turbine output electrical power
- nacelle yaw position, yaw motor electrical power
- wind speed from nacelle anemometer
and additionally:
- mechanical loads on tower top and base cross
section
- rotor thrust & tower torsion
- HSS torque (on shaft coupling the gearbox with the
generator)
- vibration at gearbox various stages
- acoustic emision signals (blade/gearbox)

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SC3 Pilot measuring system
Gearbox and Drive train DAQ systems
Operation DAQ
system
Supervising PC
Local storage
unit

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SC3 Pilot sample sensors
Power Quality voltage and current probes
Bearing vibration
sensors at
gearbox HSS
(accelerometers)

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BDE pilot CM module topology
www.big-data-europe.eu
7.2Gb/hour (i2)
0.1Gb/hour (r4)
7.2Gb/hour (i2)
?
Source: NI.com

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Sample BDE pilot timeseries
www.big-data-europe.eu 4-oct.-16

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Basic analytics
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Raw time series
Statistics and
correlations
Dynamic analysis
Fatigue analysis
4-oct.-16

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Pilot concept

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Pilot concept

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User interface

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Hardware setup

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Pilot status
◎ Data acquisition in operation
◎ Spark ‘executor’ and analytics modules are operative
◎ Web application to be launched in 2016
Future interaction with stakeholders:
◎ Application of the pilot for data sets and analytics modules provided by
stakeholder (not open data)
◎ Extending the functionalities of the web app (feedback from the community)