Smart Wind Forum

Day 1: Thursday 19th May

8.50 – 9am

Welcome remarks 

9 – 9.45am

Panel Discussion: The ‘state of digitisation’ in wind-trends, performance and the smart farms of the future

  • Where are we as a data-native industry in unlocking our vast datasets?
  • Turning unplanned maintenance into planned maintenance – are our data systems ready for predictive analytics (and how do we do it?)
  • Are we capturing data that drives ROI? Remember: junk in; junk out

9.45 – 10.15am

Presentation: From smart wind to smart grid-techniques to improve integration

  • Improving data collection at the wind farm level for grid integration
  • Examining reactive power compensation on the smart grid
  • Utilising smart grid data to improve storage optimisation

Benoît Kieffer, Chief Digital Officer, OMEXOM

10.15 – 10.45am

Panel Discussion: Going from digitisation to innovation

  • Understanding how to move from data management and collection to data science and products
  • Building a tactical operational model for the data science with clear ROI
  • Exploring how sensor, SCADA, and external data can be utilised to build in-house AI and ML products to boost production and lower LCoE

10.45 – 11.15am

Networking Coffee Break

11:15 – 11:45am

Presentation: Utilising smart wind data for better late-life planning

  • Year 10 is too late – it’s time to start considering late-life strategies from Year 0
  • Using the data available, regardless of fleet age, to assess the remaining lifespan of an asset
  • Using advanced data tools to improve the cost/benefit analytics of lifetime extension and repowering

11:45 – 12:15am

Dual Dialogue: Leveraging big data for O&M enhancement -challenges and opportunities

  • Are you big data ready? Assessing whether you’re collecting the right data (and enough of it) to make a real impact on O&M 
  • Utilising your data for smart asset decision making across a fleet’s lifecycle
  • Exploring how to use your big data platform for automated decision making to reduce downtime and engineer call-out
  • Contextualising the CAPEX of Big Data and exploring where there is long-term ROI

Fabio Fugazzotto, Head of Marine Innovation, ENEL Senior Enel O&M Representative

12:15 – 12:45pm

Dual Dialogue: Predictive maintenance – How do we use our vast data sets to cutdown on unplanned maintenance?

  • How can we move beyond hype to successfully deploy reduce turbine degradation and unplanned downtime?
  •  Where can investment in AI and deep learning tools provide clear ROI? How do we demonstrate the ROI?
  • What tools are available now to ensure performance and lifespan are optimised?

John Mckenzie, Head of Offshore Wind Site Operations (UK & DE), INNOGY RENEWABLES 

Senior Innogy Innovation Representative

12:45 – 1:45pm

Networking Lunch Break

1:45 – 2:15pm

Are we really at risk? Contextualising the cyber-threat to wind farms

Join us for a cutting-edge talk and demonstration on the threats facing even the most technologically advanced wind farms from one of the leading Smart Technology security experts. Be prepared to face uncomfortable truths and harsh realities as real security flaws are exposed live.

Ken Munro, Consultant, PEN TEST SECURITY

2:15 – 2:45pm

Panel Discussion: Implementing cyber security across digital supply chain

  • While most asset managers are aware of the physical and OT security issues threatening their systems, few have considered the security threat  
  • Nearly 100% of all wind systems were found to be using outdated or vulnerable software – just under 8% already were infected with malware
  • Learn how to build an effective partnership with your internal and external IT stakeholders to take responsibility for the effect IT security has on your assets

2:45 – 3:15pm

Networking Coffee Break

3:15 – 3:45pm

Panel Discussion: Machine learning, AI and hype-ensuring resources are well spent  

  • A problem-first approach: where is machine learning and AI being deployed across assets and what level of ROI can we expect?
  • How can we build a strong business case for the sceptic budget holder?
  • Ensuring resources aren’t being wasted on unscalable data products

3:45 – 4:45pm

Quick-fire innovation presentations

In this session, you will hear from ten of the most innovative teams improving the wind energy landscape through AI, deep learning, and the Internet of Things. Each presentation will consist of 9 slides which will automatically advance every 40 seconds to ensure a fast pace and lively discussion.

5 – 5.15pm

Closing Remarks

5.15 – 6.30pm

Networking Drinks Reception 

Day 2: Friday 20th May

9:00 – 9:45am

Opening Case Study: Building the smart wind+ farm of the future

9:45 – 10:15 am

Presentation: Transforming wind storage with AI, IIoT, and decentralisation

  • Managing an increasing number of storage devices using smart technology and AI to boost wind+ viability
  • Exploring examples of smart technology being successfully deployed to increase storage efficiency across multiple devices
  • Building a cloud-based system to manage both large and small storage centres across the world

10:15 – 11:00am

Networking Coffee Break 

11:00 – 11:30am

Presentation: Improving long-term financial and wind market forecasting with advanced analytics

  • Moving from reactive to predictive analytics for financial forecasting
  • Working with uncertain data to create accurate forecasts 
  • Where are data products being used? Is it too early for ML/AI products?
  • Going from predictive to automated financial forecasting

Graham Daws, Head of Asset Management & Operations, LONDON ARRAY

11:30 – 12:00pm

Presentation: Implementing dynamic wind turbine control to maximise revenue potential

12:00 – 12:30pm

Presentation: Challenges to consider when bringing smart wind power to the developing world

  • Bringing the latest technology to communities that need it most
  • Assessing the regulatory challenges for smart wind in Africa and LatAm
  • Building IT security into your overseas operations

12:30 – 1:30am

Networking Lunch Break 

1:30- 2:00pm

Case Study Presentation: The benefits and lessons from the world’s first open data wind farm

2:00 – 2:30pm

Panel Discussion: Data ownership and sharing across the wind energy supply chain

  • Understanding what data is available – to you and your partners
  • Building creative and successful partnerships with key stakeholders, including OEMs and management partners
  • Ensuring regulatory compliance and cybersecurity across the data supply chain

2:30 – 3:00pm

Closing Roundtables: Hunting the unicorn – attracting and retaining top innovation employees for long-term success

  • In the highly competitive data science and R&D space, how can we engage with top talent and increase retention?
  • Tapping into environmental passions to help our innovation teams find success
  • Attracting talent from data science-mature industries (e.g. financial services) to avoid stagnation and groupthink


Closing remarks. End of event