{"id":249,"date":"2021-04-20T02:36:43","date_gmt":"2021-04-20T00:36:43","guid":{"rendered":"https:\/\/windeurope.org\/tech2021\/?page_id=249"},"modified":"2021-09-05T15:23:40","modified_gmt":"2021-09-05T13:23:40","slug":"day-two","status":"publish","type":"page","link":"https:\/\/windeurope.org\/tech2021\/programme\/day-two\/","title":{"rendered":"Day two, 9 September"},"content":{"rendered":"
\r\n
\r\n10:00-12:00
Effects of wind farms and turbines on flow and meteorology<\/a>\r\n

12:00-13:30
Lunch<\/p>\r\n12:00-12:45
Sponsored session by UL – UL wind software\u2019s latest evolutions<\/a>\r\n13:30-15:00
Optimising operations<\/a>\r\n

15:00-15:15
Break<\/p>\r\n15:15-16:30
\r\nControl Strategies<\/a>\r\n15:15-16:30
\r\nAdvancements in Tools and Datasets<\/a>\r\n

16:30-16:45
Break<\/p>\r\n16:45-17:15
International Energy Agency Task 43 – Wind digitalisation<\/a>\r\n

17:15-18:15
Posters & networking<\/p><\/div>\r\n\r\n

\r\n

Effects of wind farms and turbines on flow and meteorology <\/h2>\r\n\r\n

SESSION DESCRIPTION<\/h3>\r\n

In this session the audience will learn about a range of studies looking at wind measurements, production data and modelling, in the context of how wind farms impact flow and other meteorological quantities, upwind as well as downwind. Different scales are explored, ranging from individual turbines, within wind farms, to wind farm cluster scale. Modelling approaches and the balance between demands for fast modelling techniques as well as accurate results are discussed. The presentations address the complexity of meteorological conditions and feedback the wind farms have on that complexity, such as atmospheric stability and turbulence. <\/p>\r\n\r\n\r\n

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

Jake Badger <\/p>\r\n

Head of Section, Wind Resource Assessment Modelling, DTU Wind<\/p>\r\n\t<\/div>\r\n<\/section>\r\n

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

Carolin Schmitt<\/p>\r\n

Meteorologist, Manager Wind&Site, EnBW Energie Baden W\u00fcrttemberg AG<\/p>\r\n

How different atmospheric conditions can influence induction zone characteristics onshore and offhore<\/p>\r\n<\/div>\r\n

\r\n\r\n

Anja Neubert<\/p>\r\n

WindFarmer Specialist, DNV<\/p>\r\n

Validating time-domain energy assessments: wake modelling considerations and recommendations<\/p>\r\n<\/div>\r\n

\r\n\r\n

Christiane Montavon<\/p>\r\n

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

Measuring and modelling wind-farm-scale blockage offshore – what are the challenges?<\/p>\r\n<\/div>\r\n

\r\n\r\n

Ben Williams<\/p>\r\n

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

Far-distant offshore wakes: how far is too far and are we getting it right?<\/p>\r\n<\/div>\r\n

\r\n\r\n

Cl\u00e9ment Jacquet<\/p>\r\n

Lead Engineer, Wind & Performances, GE Renewables<\/p>\r\n

An efficient hybrid model for farm blockage and wake prediction<\/p>\r\n<\/div>\r\n

\r\n\r\n

Nicola Bodini<\/p>\r\n

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

Wind farms have long-term impacts on local meteorology<\/p>\r\n<\/div>\r\n<\/section><\/div>\r\n

\r\n

UL wind software\u2019s latest evolutions<\/h2>\r\n

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

<\/p>\r\n

SESSION DESCRIPTION<\/h3>\r\n

This side event by UL will cover some of the most relevant topics required in the preconstruction stage as well how those jobs will have a follow up during the operational life of the assets. Not connecting both sides might cause a partial standpoint. The main driver of the presentation will be energy estimate. For the preconstruction, we consider three main areas to cover. All of them require a perspective as a totally digitalized work flow process, so, scalable, trustable and accurate. The growing targets by many utilities, as well boosting process by oil&gas groups, require those drivers.\r\n

<\/p>\r\nFirstly, we want to share latest updates on wind flow modeling. We recently finished a new updated comparison between existing options, and it is convenient that audience know most relevant aspects of UL results. Again, on a perspective of scalability, trust and accuracy we want to share our latest results. For data analysis, when on site measurements are available, our expert Tom Lambert will share the new updated tool that empower the analysts, who should do more with less, as well looking to new challenges caused by newer technology (more hub height \/ more rotor diameter). And, finally, we want the audience to hear from Nick Robinson, how we are managing the design of a wind plant in order to get the most convenient design, considering the entire list of constrains for a wind plant design. This include also uncertainty estimate, as it is a must when running the financial model. More than a sophisticate set of tools, UL also manage an entire suit (WRAP) that empower wind engineers for a unique environment, where the analysis become easier than ever. Each plant is unique, each business model is different, UL will share our experience from the most sophisticated tools up to the more friendly work environments. \r\n

<\/p>\r\nAll this analysis will be nothing if it’s not connected with the energy estimate on the operational life. Again, UL like to share what is needed to develop such analysis. The unique tool, RAMP, is the environment required by owners, asset managers, when is needed to monitor 24×7 the performance of the assets, with a focus on lost energy. Each kWh matters.<\/p>\r\n\r\n

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

Santiago Par\u00e9s<\/p>\r\n

Sales Manager for Renewables Advisory<\/p>\r\n

UL<\/p>\r\n<\/div>\r\n

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

Tom Lambert<\/p>\r\n

Technical Director of Information Services, Renewables<\/p>\r\n

UL<\/p>\r\n<\/div>\r\n

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

Nick Robinson<\/p>\r\n

Director of OpenWind<\/p>\r\n

UL<\/p>\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n\r\n

\r\n

Optimising operations<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

Optimising Operations is a key driver in the success of this industry, data driven complex analytics is enabling the next leap development to drive down cost of energy. In this session we will learn from key insight on how to optimise performance through gained knowledge from an assessment of wind turbine performance deterioration performed with the support of machine learning, but also how to use new technology to enable lifetime extension assessments. We will also have deep dives regarding drop control at grid frequency increase, real time Scada enabled Ice risk forecast.\r\n<\/p>\r\n

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

Berith Klug<\/p>\r\n

Head of Global Operation, Siemens Gamesa Renewable Energy<\/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

Eldrich Rebello<\/p>\r\n

Wind Integration Engineer, Wind Energy Institute of Canada<\/p>\r\n

Evaluating the performance of a wind generator in providing droop control during grid frequency increases \u2013 an independent analysis<\/p>\r\n<\/div>\r\n

\r\n\r\n

Velissarios Kourkoulis<\/p>\r\n

Digital Data Services Manager, Vector Renewables Srl, NUO Energy<\/p>\r\n

Long-term wind turbine performance deterioration assessment through power curve analysis and machine learning techniques<\/p>\r\n<\/div>\r\n

\r\n\r\n

Ignacio Fernandez<\/p>\r\n

Principal Key Expert Engineer, Siemens Gamesa Renewable Energy<\/p>\r\n

How to take advantage of new technological developments for the success in life extension assessments of wind turbines: Lifetime assessment through SCADA data <\/p>\r\n<\/div>\r\n

\r\n\r\n

Kristian Ingvaldsen<\/p>\r\n

Advisor, Kjeller Vindteknikk<\/p>\r\n

Combining ensemble icing forecasts with real-time SCADA data to increase the reliability of production loss and ice risk forecasts<\/p>\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n

\r\n

Control Strategies<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

In this session different applications of control strategies will be demonstrated. We will see how the turbine can be yawed to adapt to local conditions, we will then see how to optimise under curtailed conditions. We will then use two instruments: a night vision system for blade impact detection, and a lidar for turbine control.<\/p>\r\n

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

Simon Watson<\/p>\r\n

Professor of Wind Energy Systems, Director of DUWIND, TU Delft<\/p>\r\n\t<\/div>\r\n\t<\/section>\r\n

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

Bruno Pinto<\/p>\r\n

Chief Technology Officer, Sereema<\/p>\r\n

Optimal yaw control adapted to local wind conditions<\/p>\r\n<\/div>\r\n

\r\n\r\n

Aleix Torner<\/p>\r\n

Wind Engineer, Sereema<\/p>\r\n

Load curtailment optimisation using an independent monitoring system<\/p>\r\n<\/div>\r\n

\r\n\r\n

Roberto Albertani<\/p>\r\n

Professor, Oregon State University<\/p>\r\n

Advanced wind turbine blade impact detection with night vision capability<\/p>\r\n<\/div>\r\n

\r\n\r\n

Niklas Requate<\/p>\r\n

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

Optimal derating strategy for lifetime fatigue damage planning under consideration of debt repayment and electricity prices<\/p>\r\n<\/div>\r\n<\/section>\r\n<\/div>\r\n

\r\n

Advancements in Tools and Datasets<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

In this session participants will learn about recent advancements in tools and datasets. A number of techniques will be discussed ranging from the use of artificial intelligence to extract a time series from WRF based on uncertainty through the extraction of turbine design parameters from a wind atlas to the estimation of the wind resource at hub heights from data derived from synthetic aperture radars. Additionally participants will learn about a comparison between ASCAT satellite data and that derived from WRF simulations. <\/p>\r\n

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

Mike Anderson<\/p>\r\n

Chair, ETIPWIND Advisory Group<\/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

Romain Husson<\/p>\r\n

Research Engineer, CLS<\/p>\r\n

High-resolution estimation of wind resources at turbine hub height with SAR and machine learning <\/p>\r\n<\/div>\r\n

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

Mark Kelly<\/p>\r\n

Associate Professor, DTU Wind Energy<\/p>\r\n

Offshore wind uncertainty: ASCAT satellite data versus predictions from common WRF configurations over the North Sea<\/p>\r\n<\/div>\r\n

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

Lasse Svenningsen<\/p>\r\n

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

GASP – A global atlas of siting parameters and expected wind turbine design class<\/p>\r\n<\/div>\r\n

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

Nicola Bodini<\/p>\r\n

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

Leveraging artificial intelligence to temporally extrapolate time-series based wind resource uncertainty<\/p>\r\n<\/div>\r\n\r\n<\/section>\r\n<\/div>\r\n

\r\n

International Energy Agency Task 43 – Wind digitalisation<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

This session will discuss the collaborative activities and outcomes of the International Energy Agency’s Wind Task 43 on Wind Energy Digitalization. The audience will learn about\r\n

  • The Grand Challenges in Wind Energy Digitalization<\/li><\/ul>\r\n
    • A new Resource Assessment Data Standard<\/li><\/ul>\r\n
      • Digitalization Maturity Models for Wind Operations<\/li><\/ul>\r\n
        • Best Practices for Data Science Applications in Wind Energy<\/li><\/ul>\r\n<\/p>\r\n

          MODERATOR<\/h3>\r\n
          \r\n
          \t\r\n\t\r\n

          Michael Purdue<\/p>\r\n

          Vice President, Engineering, NRG Systems<\/p>\r\n\t<\/div>\r\n\t<\/section>\r\n\r\n<\/div>\r\n<\/section>","protected":false},"excerpt":{"rendered":"

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