Pilot for secure, clean and efficient energy.
The management of large number of distributed energy production systems presents 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.
To that end the research on developing new procedures and techniques exploits the technological advances in data acquisition that deliver voluminous data at high velocity, presenting a challenge to the community.
A pilot case is specifically setup for BDE, regarding the monitoring of a Wind Turbine operated by CRES.
The pilot scenario regards the instrumentation and long term monitoring of a Wind Turbine, focusing on condition monitoring aspects, and the performance of research based on the large data sets via BDE tools. The acquisition set-up is expandable and during the last year of BDE new features will be added, namely on-line monitoring and advanced Acoustic Emission CMS modules. The supported workflow is the data processing and analytics with custom modules. Incorporation of third party systems (condition monitoring systems, experimental research modules) into the monitoring process and performing correlated assessment is supported.
- SCADA and CMS data on a Wind Turbine specifically instrumented for BDE
- Operational parameters, Vibration, Mechanical Loading, Power Quality etc
- Third party (NI 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
- Long term monitoring for drive train health monitoring research
- engineering signal analysis, research on parametrics, fault identification and loop with updated methodologies on raw data
- Operation of pilot:
- 1 year
The data are organized with HDFS architecture and the main data processing is performed with SPARK through a Java written driver. The main characteristic of the architecture is the ability of the user to introduce custom processing modules. The analytics include waveform signal processing, dynamic analysis, fatigue analysis, statistics and correlations.
What Is Your Area and Why Are You In The BDE Project?
Fragiskos Mouzakis is not a big data engineer, he’s a wind energy spedcialist and, as such, represents the Energy societal challenge in the project. Here he explains hsi work at CRES and what big data technologies offer engineers like him.
What Is The Reaction Among Other Wind Turbine Specialists?
Fragiskos Mouzakis describes the (positive) reaction of his fellow wind turbine specialists who are not involved in the BDE project, and what it is that excites them about the platform.
Will CRES Use BDE After The Project?
All too often, software is left on the shelf to gather dust as soon as the project that created it is over. Not so at CRES, as Fragiskos Mouzakis of CRES explains.