Big Data EuropePilot 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 InvolvedType: 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

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Monitored WTNeg-Micon 750kW

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CRES CM system on NegMicon 750kW WT

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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 anemometerand 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 systemSupervising PCLocal 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

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7.2Gb/hour (i2)

0.1Gb/hour (r4)

7.2Gb/hour (i2)

?

Source: NI.com

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Sample BDE pilot timeseries

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Basic analytics

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Raw time series

Statistics and correlations

Dynamic analysis

Fatigue analysis

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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)