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.
The purpose of the pilot is the demonstration that the current IT developments can deliver solutions towards the cost-effective and reliable management of a large number of energy producing units. The solutions are based on the efficient data management and analytics of all available raw data streams, without any data reductions.
The pilot addresses developers, researchers in CMS systems, manufacturers, CMS and IT service providers in wind energy field. The pilot addresses also other sensor data cases, such as found in transport, manufacturing and other related
In principle the data involved in this use case are:
- SCADA data streams from each energy production unit
- Raw data streams from condition monitoring systems
- Resource data streams (i.e. meteorological data)
- O&M logs
- Resource simulation and prognostic data
The development and demonstration of the pilot will rely on data sets that will be collected from CRES wind farm. Specific instrumentation (installed on a NegMicon 750kW wind turbine) is to be used for delivering real time data that will be open to the community.
The pilot monitoring system comprises:
- gearbox monitoring
- drive train monitoring
- power quality monitoring
- mechanical load distribution monitoring
- WT operational parameter monitoring
- acoustic emission system on blades (optional)
The daily data throughput exceeds 0.6Tb.
BDE Pilot in Energy: DAQ setup for WT monitoring
The pilot will support the system operation and condition monitoring assessment along with the research on the analytics content. The concept requires that the collected data, except from the initial analysis are also subject to batch analysis on the total data collection upon revision of the analytics modules.
Big Data Technology is expected to provide solutions for coping with the reanalysis task of such voluminous long-term data from multiple units.