Wednesday 12 October 2016


Chair's Opening Remarks

Jonas Beseler , Asset Manager, Global Tech I Offshore Wind 

The Future Of Wind: How Can Data Analysts Prepare For It? 


Case Study

Floating Turbines: An Update On The Direction Of The Technology At Hywind 

Floating turbines are believed to be an integral part of the future of offshore wind. Where is the technology heading and what does this mean for SCADA systems and data analysis?

  • Update on the business case: which technologies are looking promising? 
  • How will control systems and communications be redesigned for floating turbines? 
  • Using data from floating turbines to optimise maintenance and refine the design 

Dr Nenad Keseric, Operations Manager Hywind And AOR Sheringham Shoal, Statoil ASA


Quick-Fire Presentations And Discussion

Virtual Power Plants And Smart Grid Integration: Is This What The Internet of Things Means For Wind?  

There is a lot of talk in industry about the Internet of Things (IoT). Now that intermittent wind power is becoming a major contributor to European power grids, is it grid-related data that will be the backbone of IoT for Wind?

  • What’s next in smart grids and what does this mean for the wind farm operators and turbine manufacturers? 
  • Infrastructures to enable wind to actively participate in balancing German grid systems through ancillary service provision 
  • Progress on Virtual Power Plants and reaping the potential benefits to the Wind industry 
  • Open discussion: is grid data the real IoT for Wind Power? 

Discussion facilitator:
Marc Hilbert , Project Manager & Research Scientist, Volkswagen AG   

Hartmut Bauer, Energy Contracts , 50Hertz-Transmission 
Jonas Linke, Portfolio Manager, Next Kraftwerke 


Morning Refreshments & Networking Opportunity

Improving Power Forecasting To Reduce Imbalance Costs 


Case Study  

The EDPR Experience Of Improving Production Forecasts 

  • Why and how to improve the forecast? 
  • Forecasting models in the industry (inhouse development): what is the state of art?
  • Integrating WTG data in the forecasting models
  • Practical case: reducing imbalance costs

Santiago Rubin Fernandez , Forecasting Verification Manager, EDPR


Challenges In Power Forecasting: How To Reduce Imbalance Costs

  • What challenges are faced by large utilities regarding power forecasts?
  • Strategies for reducing imbalance costs: making people understand the importance of their input data 
  • Changes in regulations: how will our data analysis need to adjust? 

Christie Pommier , Modelling and Data Science Team Leader, Uniper


Lunch & Networking Opportunity

Advancements In Condition Monitoring Tools, Techniques And Industry Experiences  


Case Study

A New Structural Health Monitoring Framework For Support Structures And Rotor Blades  

  • How the three tier structural health monitoring system works on blades and support structures within wind farms 
  • Which parameters were monitored and analysed by the algorithm, and which of these proved to be useful? 
  • What outliers and damages were detected during tests at Alpha Ventus, an NREL test turbine (USA) and a 34m blade in a test stand? 
  • What data were the results compared to and what has been learned from the comparison?
  • Potential future developments to bring this technology to the industry 

Prof. Dr Raimund Rolfes , Institute of Structural Analysis, Leibniz Universität Hannover-ForWind and Fraunhofer-IWES


Focus On What Matters: Set Sail For The Autonomous Data Analysis Journey 

  • How far have we come towards autonomous data analysis?

  • Which steps are still necessary to get there?

  • How does it all fit together to help owners/operators focus their attention on what really matters? 

Fabio Wagner, Head of WINDcenter,  STEAG Energy Services GmbH


New Approaches To Foundation Lifetime Assessment 

  • Which additional sensors were added, what parameters were measured and what was the frequency of the data?
  • How combing 1s SCADA data with high frequent FSHM data allows for estimating the remaining lifetime of foundation hotspots 
  • How to achieve wind farm wide life time assessment with a limited number of instrumented turbines 
  • What was learned from the analysis? 

Prof. Dr Christof Devriendt, RD&I Coordinator, OWI-lab


Case Study

Wake Management: Smart Wind Farm Control Based On Experimental Data 

  • Wind farm performance optimisation through various curtailment strategies
  • Advanced measurements: scanning LiDARs for wakes behaviour and Fiber Bragg Grating for loads analysis 
  • Use of standards such as 61400-25 to deal with communication challenges within the wind farm 
  • Comparison with theoretical results 

Nicolas Girard,  Head of R&D and Technical Support,  Maia Eoils


Afternoon Refreshments & Networking Opportunity


Case Study

Going Beyond First Level Condition Monitoring Tools: Indicator Selection For Optimal Fault Diagnosis In Wind Turbines

  • Enhancing wind turbine instrumentation to be sure to measure useful information
  • How to extract indicators from the whole of the information
  • Unsupervised and/or supervised feature transformation to improve the efficiency of indicators 
  • Pattern recognition and indicator selection to retain only the relevant information

Nicolas Girard, Head of R&D And Technical Support, MAIA EOLIS
Ilyes Khelf, Post Doctorate, University Of Lyon


Better Wind Farm Analytics Through Integration Of Business And Operational Data In Near Real-Time

  • Learn how wind industry leaders combine asset performance data with GIS and business data to achieve deep insights and operational excellence

  • Understand how the SAP HANA IoT Connector by OSIsoft enables near real-time asset performance analytics

  • How IntelliWind can enable a better asset strategy through the power of predictive analytics and diagnostics

Zishan Ali,  Principal BI Consultant,  KPIT

Chris Cole,  Partner,  KPIT   Co-Speaker

Discussion Groups - Discuss your issue of choice from the list below, and share tips and experiences around a table of likeminded peers




Role Of Data In Condition Based Maintenance

Discussion Leader:  Masoud Asgarpour,  Team Lead Analysis,  Vattenfall Wind


Data Analytics Project Management: Improving Efficiency And Disseminating Results Around The Business 

Discussion Leader:  Marc Hilbert, Project Manager & Research Scientist, Volkswagen AG   


Data As An Enabler For An Operational Excellence Function Within A Wind Power Business

Discussion Leader:  Dr Peter Matthews,  Lecturer In The School Of Engineering And Computing Sciences,  Durham University



The Future Of LiDAR Use On Operational Wind Farms 

Discussion Leader:  Prof. Simon Watson,  Professor Of Wind Energy,  Loughborough University


What Should Operators Be Measuring That They’re Not Already Measuring? 

Discussion Leader: Allan May, Independent Condition Monitoring Expert


Discussion Highlights

Hear quick snapshots of each of the breakout discussions from the group facilitators


Chair's Closing Remarks

Jonas Beseler, Asset Manager, Global Tech I Offshore Wind


Networking Drinks

Enjoy a relaxed wine or beer and take the opportunity to exchange ideas about today’s session with the other delegates and speakers.