BDE will participate to the 4th Edition Wind Power Big Data and IoT Forum to be held on the 8th – 9th November 2017 at Wyndham Garden Berlin Mitte, Berlin, Germany.

BDE will present the latest advances of Big-Data-Europe platform and the pilot applications in the Energy domain.

The conference focuses on the hot topics that industry is interested in, namely: 

• Digitization in Wind Industry– Insight into the connected World
• Envision Energy’s Digital Twin Technology Guiding Smart Wind Farm Development and Operations
• Integrated Solution for Data Collection, Reporting and Machine Learning Applications in Wind Industry
• Deriving Real Business Value using Big Data Analytics & IoT Technologies
• Leveraging Physics with Big Data and Machine Learning for Detecting Drivetrain Degradation
• Performance & Reliability Assessment of Wind Farms at a Glance: Case Study
• Improving O&M with Asset Health Centre (AHC)

The event is an excellent opportunity for presenting BDE solutions that open new possibilities in IT applications and especially for the SC3 case capabilities for voluminous data management and analysis. 

BDE presentation will be attended by engineers from Wind Power Industry, Energy & Utilities, IT field, Operation and Maintenance and by Technological solution providers. 

The 3^rd International Conference on Digital Data Integration & Management was held successfully in Berlin, September 26-28.

The event was focused on how SCADA data gathering can lead to advanced and pro-active asset management for the increase of turbine efficiency through sophisticated data management and control. 

The main topics covered were:

• Increasing Turbine efficiency through sophisticated data management and control
• Optimize wind farm performance through the use of LiDAR and SCADA data
• How to turn data into actionable insights
• New concepts for wind turbine and plant level control systems
• From Scada to Asset Management
• Conditional monitoring
• Digital infrastructure to collect, visualize and analyse data
• Failure analysis and predictive maintenance tools

The Conference’s program was divided in the following sections:

• Operational wind turbine data – requirements, access and analysis for turbine and park optimization
• Big data an IoT – supporting decision making in wind turbine operation
• Advanced forecasting and condition monitoring to improve performance and reduce risks
• Lidar measurement for more accurate measurements and a higher energy yield
• Integrating wind power into the electricity market

During Conference’s first day, Dimitri Foussekis from CRES presented the BDE platform for Condition Monitoring of wind turbines (SC3 Energy, 2^nd pilot). In brief, the main specifications of the CMS (Condition Monitoring System) were presented, as well as, the reasoning behind the choice of Apache’s Spark as the basic component of platform for the analysis of 150TB of measured data.

Finally, 3 interactive workshops were also held to actively foster open exchange and discussion and promote decisions crucial to business excellence.

• Dynamic supervisory system on a wind farm
• How to improve the informational content of SCADA data
• Data availability and access

BDE presentation attracted the very interest of participants and the consequent discussion revolved around the capabilities of dealing with voluminous data sets and the opportunities of BDE platform. 

BDE will be presented in the 3^rd International Conference Digital Data Integration and Management to be held in Berlin 26~28/9/2017.

The conference theme “From SCADA to Asset Management: Increasing Turbine efficiency through sophisticated data management and control” points to one of the main Wind Energy Industry challenges. Leading professionals, including BDE partner will present research and applications on:

• How to turn data into actionable insights
• Optimize wind farm performance through the use of LiDAR and SCADA data
• New concepts for wind turbine and plant level control systems
• Conditional monitoring
• Digital infrastructure to collect, visualize and analyze data
• Failure analysis and predictive maintenance tools

The sessions address the major topics related to data management in Wind Energy and include:

• Operational wind turbine data – requirements, access and analysis for turbine and park optimization
• Big data an IoT – supporting decision making in wind turbine operation (session where BDE is presented)
• Advanced forecasting and condition monitoring to improve performance and reduce risks
• Lidar measurement for more accurate measurements and a higher energy yield
• Integrating wind power into the electricity market

BDE will be presented by Dr. Foussekis (CRES) with “BigDataEurope: A general Open Big Data Platform applied in WT monitoring cases”. The presentation will cover:

• The development of BDI open platform with state of the art Big Data tools
• How BDI lowers IT barriers for Big Data technology application
• Exploitation of the state-of-the-art high throughput data acquisition technologies
• Application of BDI for WT research condition monitoring

The aim is to stimulate the community for testing and employing BDI for their own specific applications.