Sessions
Digitalisation in wind turbine technology
Turbine Technology (on- and offshore)
When: Wednesday, 29 November 2017, 9:30 - 10:45
Where: Emerald
Session description
The internet of things, cloud computing, machine learning and big data are transforming the industrial landscape by increasing efficiency in all sectors. Data analytics, connected devices and new levels of IT applications will have a big impact on turbine technology and our processes in the wind industry. Now is the time to reflect on these possibilities and define how to integrate these ideas into our business. How can digitalization transform wind turbine technology into an industry 4.0? What is currently being done and what can we learn from other industries? Join the discussion with the experts.
Learning objectives
- Assess how the digital future is affecting the wind energy business
- Realize the capabilities of the technology from a key player in the computing (or automotive?) industry
- Identify how major OEMs develop products using agile process methodology
- Reflect on the possibilities offered by machine learning techniques and self-learning control of wind turbines
Session chairs
Daniel Luecht
Head of international Product Solutions, Envision Energy
Michael Muskulus
Professor, NTNU
Speakers
True fatigue load analysis of wind turbines based on SCADA
Adrijan Ribaric
Vice President, Systems Technology, Sentient Science
Agile User Driven Product Development – Exemplary on SCADA
Andreas Nitsch
Nordex Energy GmbH
Machine Learning and AI for Wind Power
Nick Hughes
CEO, Lecida Inc.
Developments in intelligent gearbox health monitoring: IoT data, edge processing, predictive analytics and oil analysis delivers actionable information
Bill Gillette
Founder & CEO, LogiLube
