{"id":9455,"date":"2018-02-02T16:34:00","date_gmt":"2018-02-02T15:34:00","guid":{"rendered":"http:\/\/windeurope.org\/workshops\/?page_id=9455"},"modified":"2018-05-11T14:35:50","modified_gmt":"2018-05-11T12:35:50","slug":"sessions-details","status":"publish","type":"page","link":"https:\/\/windeurope.org\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/sessions-details\/","title":{"rendered":"Sessions details"},"content":{"rendered":"<div class=\"session-nav clearfix\"><a class=\"session-1\" href=\"#session-1\">Session 1<\/a> <a class=\"session-2\" href=\"#session-2\">Session 2<\/a> <a class=\"session-3\" href=\"#session-3\">Session 3<\/a> <a class=\"session-4\" href=\"#session-4\">Session 4<\/a> <a class=\"session-5\" href=\"#session-5\">Session 5<\/a><\/div>\n<div class=\"session session-1\">\n<h3>SESSION 1: Deriving value from Big Data<\/h3>\n<h4>Session Chair: <strong>Claudia Puyals<\/strong>,\u00a0Senior Analyst, Performance Assessment, IBLA, AWS Truepower<\/h4>\n<h5>Session Description<\/h5>\n<p>In this session, several Big Data experts will explain the application of Big Data to the wind industry and how wind farm operators can take advantage of its full potential. Big Data contains valuable information, and its proper analysis can give owners and operators a deep insight into plant performance while revealing key elements for O&amp;M cost reduction. During the session, the audience will learn how to overcome the complexity of Big Data analysis and will discover a number of innovative applications to get more efficient plants, effective power curve tests and improved power forecasting.<\/p>\n<h5>Learning objectives<\/h5>\n<ul>\n<li>Innovative Big Data applications for the wind industry<\/li>\n<li>Analysis techniques for Big Data<\/li>\n<li>Performance improvement and costs reduction through Big Data<\/li>\n<\/ul>\n<h5>Speakers<\/h5>\n<ul>\n<li><strong>Bruno Pinto<\/strong>, R&amp;D and Data Analysis Manager, <strong>Sereema<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#pinto\">Combining IoT and Big Data Analytics to improve Wind Farm Performance<\/a><\/em><\/li>\n<li><strong>Joana Mendes<\/strong>, Post Processing Applications Scientist, <strong>UK Met Office<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#mendes\">The EME \u2013 Power Forecasting Improvement Research Project<\/a><\/em><\/li>\n<li><strong>Erik Salo<\/strong>, Research Assistant, <strong>University of Strathclyde<\/strong><br \/>\n<a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#salo\"><em>Value from free-text maintenance records: converting wind farm work orders into quantifiable, actionable information using text mining<\/em><\/a><\/li>\n<li><strong>Axel Albers<\/strong>, Managing Director, <strong>Deutsche WindGuard<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#albers\">Power Curve Evaluation Based on Limited Wind Speed Range<\/a><\/em><\/li>\n<li><strong>Mark Stephens-Row, <\/strong>New Markets Sales Engineer, <strong>The Weather Company, an IBM Business<\/strong><br \/>\n<em>The big data of weather and predictive maintenance<\/em><\/li>\n<\/ul>\n<\/div>\n<div class=\"session session-2\">\n<h3>SESSION 2: Enhancing turbine performance using data<\/h3>\n<h4>Session Chair: <strong>Lars Landberg<\/strong>, Director, Group Leader, Renewables, Strategic Research and Innovation,\u00a0DNV GL<\/h4>\n<h5>Session Description<\/h5>\n<p>This session will explain various ways of enhancing turbine performance using data. We will get perspectives from many places around the globe, and illustrate findings with real wind-farm data from thousands of wind farms. Methods for enhancing the performance will include root-cause analysis, ways of using yaw control, and data-based and data-derived systems.<\/p>\n<h5>Learning objectives<\/h5>\n<ul>\n<li>Understand what turbine performance is<\/li>\n<li>Learn how data can be used to enhance turbine performance<\/li>\n<li>See how real wind-farm-derived data can be used to enhance turbine performance<\/li>\n<\/ul>\n<h5>Speakers<\/h5>\n<ul>\n<li><strong>Peng Hu<\/strong>, Engineer, <strong>Longyuan Beijing Wind Power Engineering Technology Company<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#hu\">Monitoring O&amp;M data from 11,443 turbines worldwide: approaches, challenges and lessons learned<\/a><\/em><\/li>\n<li><strong>Samuel Davoust,<\/strong> Senior Engineer, Wind &amp; Performance, <strong>GE Renewable Energy<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#davoust\">From real wind to actual power output<\/a><\/em><\/li>\n<li><strong>Jesus Navarro, <\/strong>AMOS Manager, <strong>DNV GL<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#navarro\">Root cause analysis or why this is happening to me<\/a><\/em><\/li>\n<li><strong>Nicolas Quievy<\/strong>, Wind Technology Manager, <strong>ENGIE<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#quievy\">Production gain assessment due to improved dynamic yaw control settings<\/a> <\/em><\/li>\n<li><strong>Henrik Pedersen, <\/strong>Manager Site and Energy Assessment, <strong>Siemens Gamesa<\/strong><br \/>\n<em>Findings on the model based diagnostics implementation<\/em><\/li>\n<\/ul>\n<\/div>\n<div class=\"session session-3\">\n<h3>SESSION 3: Lowering operational costs<\/h3>\n<h4>Session Chair: <strong>Mike Anderson<\/strong>,\u00a0Former Chief Technical Officer,\u00a0RES Ltd.<\/h4>\n<h5>Session Description<\/h5>\n<p>The under- or over-performance of a wind farm can be attributed to many causes: wind speed, turbine performance, accessibility or a poor estimate of the operational loss adjustment factors. This session will review a number of methodologies using the review of historical operational data to improve the accuracy of the future energy yield of a project. \u00a0For offshore wind farms, accessibility is seen as a significant potential source of energy loss and, therefore, we will discuss strategies which attempt to mitigate this loss.<\/p>\n<h5>Learning objectives<\/h5>\n<ul>\n<li>Innovative techniques for understanding operational data.<\/li>\n<li>An understanding of the German FGW TR10.<\/li>\n<li>Novel vessel and access technologies for offshore wind farms.<\/li>\n<\/ul>\n<h5>Speakers<\/h5>\n<ul>\n<li><strong>Martin Strack<\/strong>, Manager Site and Energy Assessment, <strong>Deutsche WindGuard Consulting GmbH<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#strack\">Guideline on Operational Data Assessment<\/a><\/em><\/li>\n<li><strong>Henrik Sundg\u00e5rd Pedersen<\/strong>, Senior Wind Energy Consultant, <strong>EMD International A\/S<\/strong><br \/>\n<a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#pedersen\"><em>Towards Revenue Assessment<\/em><\/a><\/li>\n<li><strong>Simon Courret<\/strong>, Wind and Marine Energy Specialist , <strong>ENGIE<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#quievy-1\">Wind Energy Yield Assessment, A look-back analysis on ENGIE plants<\/a><\/em><\/li>\n<li><strong>Fernando\u00a0 Sevilla Montoya,<\/strong> Senior Engineer, <strong>DNV GL<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#montoya\">Improving offshore wind farm performance through novel access strategie<\/a>s<\/em><\/li>\n<\/ul>\n<\/div>\n<div class=\"session session-4\">\n<h3>SESSION 4: Back to the future: from post-construction yield analysis to life extension<\/h3>\n<h4>Session Chair: <strong>Hans Ejsing J\u00f8rgensen<\/strong>, Head of section Meteorology &amp; Remote Sensing Program manager \u2013 Siting &amp; Integration,\u00a0DTU<\/h4>\n<h5>Session Description<\/h5>\n<p>This session is divided into two parts. Firstly, we will look back on the performance of wind farms using different data-sets, real-time computing and data analysis to provide surveillance and control for how wind farms are performing.<br \/>\nSecondly, we will look into the future, using tools that are investigating the wind farm load patterns \u00a0with the aim of increasing the lifetime of wind farms, estimating the remaining life time of a wind farm, and redesigning O&amp;M strategies for wind farm lifetime extension.<\/p>\n<h5>Speakers<\/h5>\n<p><strong>Part 1 \u2013 Post-construction yield analysis and reanalysis<\/strong><\/p>\n<ul>\n<li><strong>Nathan Hill<\/strong>, Technical Lead, <strong>Lloyd&#8217;s Register<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#hill\">Reconciling the past with the present: the impact of developments in reanalysis data on pre- and post-construction yield analysis<\/a><\/em><\/li>\n<li><strong>Peter Enevoldsen<\/strong>, Product Owner, <strong>Envision Energy<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#oxley\">Leveraging Envision Energys EnOS IoT platform towards automated post-construction yield analysis for benchmarking and improving the accuracy of the Greenwich Systems yield predictions<\/a> <\/em><\/li>\n<\/ul>\n<p><strong>Part 2: from performance analysis to life extension decisions<\/strong><\/p>\n<ul>\n<li><strong>Bart Dujczynski, <\/strong>Principal,<strong> verdantf;\u00a0<\/strong>Managing Director<strong>, Proventus Renewables Ltd., <\/strong><em>From performance analysis to life extension decisions. Should we extend? How are life extension decisions taken? <\/em><\/li>\n<li><strong>Francesco Vanni<\/strong>, Senior Engineer, <strong>DNV GL<\/strong><br \/>\n<a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#vanni\"><em>An online digital twin for real time calculation of remaining life<\/em> <\/a><\/li>\n<li><strong>Philipp Stukenbrok<\/strong>, Head of Sales &amp; Marketing, <strong>8.2 Consulting AG<\/strong><br \/>\n<a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#stukenbrock\"><em>Lifetime extension reports and the redesign of O&amp; M concepts for aging turbines<\/em> <\/a><\/li>\n<li><strong>Nikolay Dimitrov<\/strong>, Senior Researcher, <strong>DTU<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#dimitrov\">Surrogate Modelling of load and power output variation in wind farms<\/a><\/em><\/li>\n<\/ul>\n<\/div>\n<div class=\"session session-5\">\n<h3>SESSION 5: Innovations in operations &amp; hybrid systems<\/h3>\n<h4>Session Chair: <strong>Christian Jourdain<\/strong>, Head of Marketing, Services, Siemens Gamesa<\/h4>\n<h5>Session Description<\/h5>\n<p>Participants will learn more about some of the innovations tested in operations. Illustrated with examples, you will understand how O&amp;M diagnostics can be more and more automatized thanks to machine learning and fine-tuned SCADA analysis, which will maximize O&amp;M efficiency. In addition, you will learn more about various onshore and offshore wind-storage systems and how this impacts project\u2019s ROI and LCOE.<\/p>\n<h5>Learning objectives<\/h5>\n<ul>\n<li>Understand how machine learning can lead to higher decision automating<\/li>\n<li>How much you can get from the data you already have<\/li>\n<li>Learn more about storage<\/li>\n<\/ul>\n<h5>Speakers<\/h5>\n<ul class=\"speakers\">\n<li><strong>Asun Padros Razquin<\/strong>, Innovation Project Manager, <strong>Acciona Energia <\/strong><em>Practical examples of storage solutions in renewable energies: the Acciona experience<\/em><\/li>\n<li><strong>Peter Enevoldsen<\/strong>, Product Owner, <strong>Envision Energy<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#enevoldsen\">Examining the business incentives for investments in coupled wind &#8211; storage systems <\/a>\u00a0<\/em><\/li>\n<li><strong>Jack Double<\/strong>, Operating Wind Farm Analyst, <strong>K2 Management<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#colls\">SCADA analysis might be the best return on investment you ever get<\/a><\/em><\/li>\n<li><strong>Elizabeth Traiger<\/strong>, Senior Researcher, Group Technology and Research, Renewables, <strong>DNV GL<\/strong><br \/>\n<em><a href=\"\/workshops\/analysis-of-operating-wind-farms-2018\/programme-outline\/abstracts\/#collins\">Machine Learning for automated detection of wind farm underperformance<\/a><\/em><\/li>\n<\/ul>\n<\/div>\n<p><script>\njQuery(function ($) {\nif (window.location.hash) {\n$('div.session.' + window.location.hash.slice(1)).show().siblings('div.session').hide();\n$('div.session-nav a.' + window.location.hash.slice(1)).addClass('active').siblings('a').removeClass('active');\n} else {\n$('div.session.session-1').show().siblings('div.session').hide();\n$('div.session-nav a.session-1').addClass('active').siblings('a').removeClass('active');\n}\n$('div.session-nav').on('click', function (e) {\n$('div.session.' + e.target.hash.slice(1)).show().siblings('div.session').hide();\n$('div.session-nav a.' + e.target.hash.slice(1)).addClass('active').siblings('a').removeClass('active');\n});\n});\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Session 1 Session 2 Session 3 Session 4 Session 5 SESSION 1: Deriving value from Big Data Session Chair: Claudia Puyals,\u00a0Senior Analyst, Performance Assessment, IBLA, AWS Truepower Session Description In this session, several Big Data experts will explain the application of Big Data to the wind industry and how wind farm operators can take advantage [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":0,"parent":9414,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-9455","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - 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