{"id":232,"date":"2021-04-20T01:22:47","date_gmt":"2021-04-19T23:22:47","guid":{"rendered":"https:\/\/windeurope.org\/tech2021\/?page_id=232"},"modified":"2021-09-06T10:32:01","modified_gmt":"2021-09-06T08:32:01","slug":"day-one","status":"publish","type":"page","link":"https:\/\/windeurope.org\/tech2021\/programme\/day-one\/","title":{"rendered":"Day one, 8 September"},"content":{"rendered":"
\r\n
\r\n10:00-10:30
Opening session<\/a>\r\n10:30-12:00
Artificial Intelligence: from design to operation<\/a>\r\n

12:00-13:30
Lunch<\/p>\r\n12:00:12-45
Sponsored session by EMD – windPRO Product News<\/a>\r\n12:45-13:30
Sponsored session by Resco – Mobile fieldwork: How to reduce costs, errors and carbon footprint with Real-time Data<\/a>\r\n13:30-15:00
Improving simulations to reduce uncertainty<\/a>\r\n

15:00-15:15
Break<\/p>\r\n15:15-16:45
\r\nResource Assessment: Measurements<\/a>\r\n15:15-16:45
Operational Assessment: Data-driven maintenance<\/a>\r\n

16:45-17:30
Posters & networking<\/p><\/div>\r\n

\r\n

Opening speeches<\/h2>\r\n

SPEAKERS<\/h3>\r\n

SESSION DESCRIPTION<\/h3>\r\n

The electricity system will double in size compared to today and wind will be half of that by 2050. So resource and operational assessment are more important than ever. Where can we still improve operational and resource assessment to ensure the cost-effective management of a climate neutral energy system? \r\nDigitalisation is a big driver to improve the performance of wind assets and optimise system integration. How do artificial intelligence and machine learning contribute to improving resource and operational assessment? \r\nAll our models are historical. But Climate Change is testing our modelling. While we help address Climate Change we also need to be mindful of its impacts on our resources and operations. How can we deal with this?\r\n Join us for a conversation with Salvatore Bernabei, CEO of ENEL green power to explore these questions and get ready for 3 days of in-depth presentations and discussions.<\/p>\r\n

\r\n
\r\n\r\n\r\n

Giles Dickson<\/p>\r\n

CEO, WindEurope<\/p>\r\n\t

Welcoming address<\/p>\r\n\r\n<\/div>\r\n

\r\n\r\n\r\n

Salvatore Bernabei<\/p>\r\n

CEO, Enel Green Power<\/p>\r\n

Opening remarks<\/p>\r\n\r\n<\/div>\r\n\r\n<\/section><\/div>\r\n\r\n

\r\n

Artificial Intelligence: from design to operation<\/h2>\r\n\r\n

SESSION DESCRIPTION<\/h3>\r\n

Artificial Intelligence (AI) provides powerful solutions that support all steps of the value chain of wind energy. In this session participants will learn about contributions of machine learning in the ressource assessment phase for obtaining more accurate annual energy production estimates, but also in the operational phase, for detecting underperformance of wind turbines. <\/p>\r\n

The session will address the scalability of AI tools for predictive maintenance of wind turbines, where massive data are considered. Finally, the participants will hear about AI-based state-of-the-art forecasting methods for wind generation and extreme wind situations and also for optimising the use of forecasts in applications like trading to electricity markets.<\/p>\r\n\r\n\r\n

SESSION CHAIR<\/h3>\r\n
\r\n
\t\r\n\t\r\n

Georges Kariniotakis<\/p>\r\n

Professor, Head of Renewables & SmartGrids Group, MINES ParisTech<\/p>\r\n\t<\/div>\r\n<\/section>\r\n

SPEAKERS<\/h3>\r\n
\r\n
\r\n\r\n

Jordan Perr-Sauer<\/p>\r\n

Staff Researcher – Data Science, National Renewable Energy Laboratory (NREL)<\/p>\r\n

Lowering long-term energy estimate uncertainty through better wind plant power curves<\/p>\r\n<\/div>\r\n

\r\n\r\n

Henrique Diogenes<\/p>\r\n

Performance & Reliability Coordinator, Casa dos Ventos<\/p>\r\n

A machine learning approach for underperformance detection in wind turbines<\/p>\r\n<\/div>\r\n

\r\n\r\n

Gianmarco Pizza<\/p>\r\n

CEO, Nispera<\/p>\r\n

A scalable solution for predictive maintenance of operating wind farms based on deep learning<\/p>\r\n<\/div>\r\n

\r\n\r\n

Miguel \u00c1ngel Prosper Fern\u00e1ndez<\/p>\r\n

Meteorologist, Siemens Gamesa Renewable Energy<\/p>\r\n

Detection system for extreme wind events based on WRF high-resolution simulations and Deep Learning image recognition<\/p>\r\n<\/div>\r\n

\r\n\r\n

Simon Camal<\/p>\r\n

Senior Researcher, Project Manager, MINES ParisTech – Centre PERSEE<\/p>\r\n

A holistic approach to improve the model & value chain of renewable energy forecasting \u2013 the smart4RES project<\/p>\r\n<\/div>\r\n<\/section><\/div>\r\n\t

\r\n

Sponsored session by EMD – windPRO Product News<\/h2>\r\n\r\n

SESSION DESCRIPTION<\/h3>\r\n

Tools \u2013 Presentation of the new windPRO 3.5 features: Hybrid, Solar, Life-time extension, Eddy Viscosity etc.<\/p>\r\n

Data \u2013 Introduction to new Global Atlas of Siting Parameters (GASP)<\/p>\r\n

Automation \u2013 Using the new EMD-API to automate data retrieval in e.g. Python and R<\/p>\r\n<\/p>\r\n

SPEAKERS<\/h3>\r\n
\r\n
\r\n\r\n

Per M\u00f8ller Nielsen<\/p>\r\n

Product Owner, EMD International A\/S<\/p>\r\n\r\n<\/div>\r\n

\r\n\r\n

Lasse Svenningsen<\/p>\r\n

R&D Manager, EMD International A\/S<\/p>\r\n<\/div>\r\n

\r\n\r\n

Morten L. Th\u00f8gersen<\/p>\r\n

Senior Technical Expert, EMD International A\/S<\/p>\r\n<\/div>\r\n<\/section><\/div>\r\n\r\n

\r\n

Mobile fieldwork: How to reduce costs, errors and carbon footprint with Real-time Data<\/h2>\r\n

Sponsored session by Resco<\/h5>\r\n

<\/p>\r\n

SESSION DESCRIPTION<\/h3>\r\n

Join Resco.net to learn:\r\n\r\n

  • How an app facilitated the life of a manager at a larger wind energy company<\/li>\r\n
  • 5 key features you should demand from a mobile field solution<\/li>\r\n
  • Top innovations that will make the life of your field workers easier<\/li><\/p>\r\n\r\n

    SPEAKER<\/h3>\r\n
    \r\n\r\n
    \r\n\r\n\r\n

    Peter Semancik<\/p>\r\n

    International Business Development Manager<\/p>\r\n

    Resco.net<\/p>\r\n<\/div>\r\n\r\n\t<\/section>\r\n\t<\/div>\r\n\r\n

    \r\n

    Improving simulations to reduce uncertainty<\/h2>\r\n

    SESSION DESCRIPTION<\/h3>\r\n

    The maturity of the wind industry has led it to become a much more competitive market than in the past, requiring greater precision in studies by reducing its uncertainties. This session will show innovative techniques aimed at reducing uncertainty in different aspects relevant to wind farms, ranging from the optimal use of measurement systems, to the development and calibration of new models of wakes, plant losses or the performance of wind turbines.<\/p>\r\n

    SESSION CHAIR<\/h3>\r\n
    \r\n
    \t\r\n\t\r\n

    Jose Vidal<\/p>\r\n

    Technical Director, Energy Advisory Services, UL<\/p>\r\n\t<\/div>\r\n\t<\/section>\r\n

    SPEAKERS<\/h3>\r\n
    \r\n\r\n
    \r\n\r\n\r\n

    Lee Cameron<\/p>\r\n

    Data Science Manager, RES<\/p>\r\n

    Designing scanning LiDAR campaigns to Reduce Yield Assessment Uncertainty<\/p>\r\n<\/div>\r\n

    \r\n\r\n\r\n

    Morten Lybech Th\u00f8gersen<\/p>\r\n

    Senior Wind Energy Specialist, EMD International A\/S<\/p>\r\n

    Shorter measuring campaigns using geospatial predictors and machine learning<\/p>\r\n<\/div>\r\n\r\n

    \r\n\r\n\r\n

    Neil Atkinson<\/p>\r\n

    Principal Specialist, K2 Management<\/p>\r\n

    A multiple wind farm validation of turbine performance predictions from a 3D turbine performance matrix<\/p>\r\n<\/div>\r\n

    \r\n\r\n\r\n

    Camille Dubreuil-Boisclair<\/p>\r\n

    Principal Researcher, Equinor ASA<\/p>\r\n

    Ensemble methods for wake parameter calibration<\/p>\r\n<\/div>\r\n

    \r\n\r\n\r\n

    Marion Le Doeuff<\/p>\r\n

    Analytics Manager, Natural Power<\/p>\r\n

    Method to improve accuracy of production modelling and loss interaction in the time domain<\/p>\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n

    \r\n

    Resource Assessment: Measurements<\/h2>\r\n

    SESSION DESCRIPTION<\/h3>\r\n

    In this session we will learn about the latest within lidars. Not only the usual individual lidars, but also several lidars working in synchrony. We will get ideas of how to use and correct lidar measurements in complex terrain, and finally we will see how many elements can be integrated into an optimal measuring campaign.<\/p>\r\n

    SESSION CHAIR<\/h3>\r\n
    \r\n
    \t\r\n\t\r\n

    Lars Landberg<\/p>\r\n

    Director, Group Leader, Renewables, Research and Development, DNV<\/p>\r\n\t<\/div>\r\n\t<\/section>\r\n

    SPEAKERS<\/h3>\r\n
    \r\n\r\n
    \r\n\r\n

    Scott Wylie<\/p>\r\n

    Head of Customer Service, Data & Support, ZX Lidars<\/p>\r\n

    Bankable standalone LiDAR measurements in complex terrain<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    Annette Westerhellweg<\/p>\r\n

    Senior Project Manager, UL<\/p>\r\n

    RSD correction for complex terrain effects with the linear wind flow model WindMap<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    Florian J\u00e4ger<\/p>\r\n

    Research Associate, Fraunhofer IEE<\/p>\r\n

    Multi-LiDAR measurements for site and resource assessments<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    Gunhild Thorsen<\/p>\r\n

    Developement engineer, DTU Wind Energy<\/p>\r\n

    A user-friendly WindScanner system in action<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    Doron Callies<\/p>\r\n

    Senior Scientist, Fraunhofer IEE<\/p>\r\n

    Holistic optimization of wind measurement campaigns for resource assessment<\/p>\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n

    \r\n

    Operations: Data-driven maintenance<\/h2>\r\n

    SESSION DESCRIPTION<\/h3>\r\n

    In the last 5 years, Operation & Maintenance in the Renewable Energy sector has shown one of the most fascinating industrial changes. Operations, technology and digitalization have mixed together creating a symbiotic growth that enabled a new maintenance approach based on data. Join this session to embrace this change as a continuous improvement process to progressively increase efficiency and optimize maintenance costs. <\/p>\r\n

    SESSION CHAIR<\/h3>\r\n
    \t\r\n\t\r\n

    Jose Alba Perez<\/p>\r\n

    Head of Global O&M Wind and Storage, Enel Green Power<\/p>\r\n\t<\/div>\r\n\t<\/section>\r\n

    SPEAKERS<\/h3>\r\n
    \r\n
    \r\n\r\n\r\n

    Alex Byrne<\/p>\r\n

    Principal Engineer, DNV<\/p>\r\n

    IEA Wind Task 43: Enabling risk-based maintenance through digitalisation<\/p>\r\n<\/div>\r\n

    \r\n\r\n\r\n

    Franz Langmayr<\/p>\r\n

    Managing Director, Uptime Engineering<\/p>\r\n

    Information merging and analytics for maintenance process optimisation<\/p>\r\n<\/div>\r\n

    \r\n\r\n\r\n

    Mihail Ivanov<\/p>\r\n

    Product Manager Digitalization, ZF Wind Power<\/p>\r\n

    Improved powertrain prognostics by integrating domain knowledge in alert processing<\/p>\r\n\t<\/div>\r\n\t

    \r\n\r\n\r\n

    Kuljit Singh<\/p>\r\n

    Business Development Manager, OptaSense Ltd<\/p>\r\n

    Monitoring of export and inter-array cables using Distributed Rayleigh Sensing<\/p>\r\n\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n<\/section>","protected":false},"excerpt":{"rendered":"

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