"Local impact, global leadership"


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

  1. Assess how the digital future is affecting the wind energy business
  2. Realize the capabilities of the technology from a key player in the computing (or automotive?) industry
  3. Identify how major OEMs develop products using agile process methodology
  4. 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


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

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