{"id":731,"date":"2020-05-13T16:59:57","date_gmt":"2020-05-13T14:59:57","guid":{"rendered":"https:\/\/windeurope.org\/workshops\/tech2020\/?page_id=731"},"modified":"2020-06-25T13:02:40","modified_gmt":"2020-06-25T11:02:40","slug":"posters","status":"publish","type":"page","link":"https:\/\/windeurope.org\/workshops\/tech2020\/posters\/","title":{"rendered":"Poster presentations"},"content":{"rendered":"
\r\n
\r\n    The posters are brought to you by \"Vortex<\/div>\r\n<\/section>\r\n\r\n
\r\n
Analysis of Operating Wind Farms <\/a> General and Strategy Topics <\/a> Resource Assessment <\/a><\/div>\r\n
\r\n\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n

PO002<\/p><\/td>\r\n

Impact of atmospheric conditions to the quality of day-ahead wind power forecast using Multi-Layer Perceptron neural network
\r\n Minh-Thang Do<\/strong>, Data Scientist, Meteodyn<\/p><\/td>\r\n <\/tr>\r\n

PO003<\/p><\/td>\r\n

Long Range measurement with a nacelle mounted lidar
\r\n Julien Tissot<\/strong>, Application Engineer Leosphere<\/p><\/td>\r\n <\/tr>\r\n

PO004<\/p><\/td>\r\n

Comparing Condition Monitoring Techniques in the Wind Industry
\r\n Daryl Hickey<\/strong>, Reliability Engineer, Natural Power Consultants Ltd<\/p><\/td>\r\n <\/tr>\r\n

PO006<\/p><\/td>\r\n

Assessment of Lost Production using Empirical Remaining-Power-Generation in Turbine Main Bearing Failure Monitoring
\r\n J\u00fcrgen Herp<\/strong>, Assistant Professor, University of Southern Denmark<\/p><\/td>\r\n <\/tr>\r\n

PO010<\/p><\/td>\r\n

An Overview of Wind Energy Production Prediction Bias, Losses, and Uncertainties
\r\n Joseph Lee<\/strong>, Postdoctoral Researcher, NREL<\/p><\/td>\r\n <\/tr>\r\n

PO011<\/p><\/td>\r\n

Machine learning for improving the accuracy and consistency of operational wind farm analysis
\r\n Jack Double<\/strong>, Specialist – Operational Wind, K2 Management<\/p><\/td>\r\n <\/tr>\r\n

PO014 <\/p><\/td>\r\n

Statistical methods for innovative wind turbine performance control and monitoring<\/a>
\r\n Ludovio Terzi<\/strong>, O&M Manager, Renvico <\/p><\/td>\r\n <\/tr>\r\n

PO015<\/p><\/td>\r\n

Sensitivity of Romo Wind Spinner Anemometer iSpin to Environmental Variables: First Experimental Results
\r\n Davide Trabucchi<\/strong>, Project Engeer, Deutshce Windguard <\/p><\/td>\r\n <\/tr>\r\n

PO017<\/p><\/td>\r\n

Application of a new machine learning method for site-dependent power curve prediction to field measurement data
\r\n Sarah Barber<\/strong>, Programme Leader Wind Energy, University of Applied Sciences Rapperswil<\/p><\/td>\r\n <\/tr>\r\n

PO018<\/p><\/td>\r\n

Estimation of AEP variation between standard and site-specific power curve using 0 turbulence power curve approximation.
\r\n Tristan Fleury<\/strong>, Operational Assessment Engineer, EDF Energies Renouvelables<\/p><\/td>\r\n <\/tr>\r\n

PO019<\/p><\/td>\r\n

The Comparison of annual energy production using simulated power curve at site conditions with logging data (Case Study: Kahak Wind Farm in Iran)
\r\n Alireza Karbalaeimirza<\/strong>, Wind and Siting Engineer, Nordhausen University of Applied Science<\/p><\/td>\r\n <\/tr>\r\n

PO020<\/p><\/td>\r\n

292 Power Curve Test results: statistical analysis as a base for future Energy Yield Estimations
\r\n Marta Ju\u00e1niz Zurbano<\/strong>, Wind Analyst, Enel Green Power<\/p><\/td>\r\n <\/tr>\r\n

PO021<\/p><\/td>\r\n

Effects of topography on turbine LiDAR measurements; a case study.
\r\n Cyrille Huant<\/strong>, Asset Advisory Services Renewables, UL International<\/p><\/td>\r\n <\/tr>\r\n

PO023<\/p><\/td>\r\n

REWS Calculation with the Wind Iris 4\u2013beam
\r\n Julien Tissot<\/strong>, Application Engineer, Leosphere<\/p><\/td>\r\n <\/tr>\r\n

PO024<\/p><\/td>\r\n

Offshore Wind Farm Wake Effects Study with Nacelle Mounted Lidars
\r\n Ye Feng<\/strong>, Wind Resource Engineer, Shanghai Electri<\/p><\/td>\r\n <\/tr>\r\n<\/table>\r\n<\/div>\r\n

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

PO027<\/p><\/td>\r\n

How should machine learning be successfully used for wind speed vertical extrapolation?
\r\n Nicola Bodini<\/strong>, Postdoctoral Researcher, NREL<\/p><\/td>\r\n <\/tr>\r\n

PO029<\/p><\/td>\r\n

An AI-based Fault Detection Model using Alarms and Warnings from the SCADA system
\r\n Antionio Notaristefano<\/strong>, Electrical Engineer, Nispera AG<\/p><\/td>\r\n <\/tr>\r\n

PO031 <\/p><\/td>\r\n

Blade Defect Forecasting – Environmental conditions cause blade defects to develop and add downtime during the turbine lifetime. Icing, rain, lightning and wind and turbulence all add to the degradation of the blade surface and structure.
\r\n Morten Handberg<\/strong>, Chief Blade Officer, Wind Power Lab <\/p><\/td>\r\n <\/tr>\r\n

PO036<\/p><\/td>\r\n

Estimating wind turbine loads and their uncertainties from SCADA data
\r\n Wolfgang Moser<\/strong>, Principal Engineer, Innogy SE<\/p><\/td>\r\n <\/tr>\r\n

PO037<\/p><\/td>\r\n

Aerodynamic rotor imbalance detection: Pitch Health Indicator using SCADA data
\r\n Nicolas Qui\u00e9vy<\/strong>, Senior Wind Technology Manager, ENGIE<\/p><\/td>\r\n <\/tr>\r\n

PO040<\/p><\/td>\r\n

OpenOA – an open-source codebase for operational analysis of wind farms
\r\n Eric Simley<\/strong>, Reseacher, NREL<\/p><\/td>\r\n <\/tr>\r\n

PO045 <\/p><\/td>\r\n

International Energy Agency (IEA) Wind Task 43 on Wind Energy Digitalization. Opportunities and best practices for digitalization
\r\n Jason Fields<\/strong>, Senior Research Engineer, NREL <\/p><\/td>\r\n <\/tr>\r\n

PO046<\/p><\/td>\r\n

De-risking assets transfers through transparency
\r\n Henrik Pedersen<\/strong>, Senior Wind Energy Consultant, EMD International A\/S<\/p><\/td>\r\n <\/tr>\r\n

PO048<\/p><\/td>\r\n

Reducing O&M costs of offshore wind farms through data-driven risk-based operations
\r\n Alexios Koltsidopoulos Papatzimos<\/strong>, Renewables Consultant, Xodus Group<\/p><\/td>\r\n <\/tr>\r\n<\/table><\/div>\r\n

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PO051<\/p><\/td>\r\n

Uncertainty in offshore wind resources for the U.S.A
\r\n Reshmi Ghosh<\/strong>, Ph.D. Student, Carnegie Mellon University <\/p><\/td>\r\n <\/tr>\r\n

PO053<\/p><\/td>\r\n

How Certain is Our Estimate of the Future Wind Conditions? – A look at Long-Term Trends
\r\n Kai Moennich<\/strong>, Senior Engineering Lead, UL International<\/p><\/td>\r\n <\/tr>\r\n

PO054<\/p><\/td>\r\n

IEA Wind Task 31: Initial results of a new comparison metrics simulation challenge for wind resource assessment in complex terrain
\r\n Sarah Barber<\/strong>, Programme Leader Wind Enery, University of Applied Sciences Rapperswil<\/p><\/td>\r\n <\/tr>\r\n

PO055<\/p><\/td>\r\n

How to Model Ambient Turbulence at Hub Height: A Better Turbulence Vertical Extrapolation is Possible
\r\n Antonio Angulo<\/strong>, Senior Engineer \u2013 Customer Application Engineering, Onshore Wind, GE Renewable Energy<\/p><\/td>\r\n <\/tr>\r\n

PO056<\/p><\/td>\r\n

Improved methods for adjusting mesoscale model outputs to in-situ met mast data
\r\n Matteo Ranaboldo<\/strong>, Energy Advisor Services Team – EMEA and Latin America, UL International<\/p><\/td>\r\n <\/tr>\r\n

PO058<\/p><\/td>\r\n

Analysis of pre- and post-construction EYAs (17 wind farms), analysis of uncertainty data base (250 pre-construction EYAs): Improving the methodology of pre-construction EYA and reducing uncertainty
\r\n Nicolas Enrique Veneranda<\/strong>, Project Manager, Tractebel Engineering<\/p><\/td>\r\n <\/tr>\r\n

PO061<\/p><\/td>\r\n

Impact of underlaying boundary conditions databases: how available global topography and land use databases could impact AEP accuracy while increased model resolution is required?
\r\n Alexis Dutrieux<\/strong>, Managing Director, ATM-PRO <\/p><\/td>\r\n <\/tr>\r\n

PO062<\/p><\/td>\r\n

Comparison of linear (WAsP) and CFD (Meteodyn WT) wind modelling on a complex south African site, with regards to levels of uncertainty.
\r\n Paul Blondel<\/strong>, Senior Wind Resource Assessment Engineer, EDF Renouvelables<\/p><\/td>\r\n <\/tr>\r\n

PO065 <\/p><\/td>\r\n

CFARS Site suitability subgroup: accelerating data-driven guidance for RSD TI corrections
\r\n Alexandra St. P\u00e9<\/strong>, Technology & Innovation Manager Wind, RWE Renewables<\/p><\/td>\r\n <\/tr>\r\n

PO067<\/p><\/td>\r\n

Assessment of agglomerated LiDAR calibration results as a function of environmental variables
\r\n Edward Burin des Roziers<\/strong>, Wind Measurement Technical Expert, UL International <\/p><\/td>\r\n <\/tr>\r\n

PO069<\/p><\/td>\r\n

The use of CFD to increase the acceptance of wind data from lidars in complex terrain.
\r\n Wulstan Nixon<\/strong>, Sales Manager, ZX Lidars<\/p><\/td>\r\n <\/tr>\r\n

PO070<\/p><\/td>\r\n

EOLOS FLS200 performance and uncertainties comparison over different types of pre-deployment verification campaigns
\r\n Adri\u00e0 Miquel<\/strong>, Reliability Engineer, Eolis Floating Lidar Solutions<\/p><\/td>\r\n <\/tr>\r\n

PO072<\/p><\/td>\r\n

A method to correct Windcube measurement in complex and forested terrain
\r\n Paul Mazoyer<\/strong>, Application Engineer, Leosphere<\/p><\/td>\r\n <\/tr>\r\n

PO073 <\/p><\/td>\r\n

Why high roughness and forest decrease lidar errors at complex terrain sites
\r\n Tobias Klaas<\/strong>, Scientific Staff, Fraunhofer IEE <\/p><\/td>\r\n <\/tr>\r\n

PO075<\/p><\/td>\r\n

Assessment of the vector versus scalar averaging method when analyzing Lidar data.
\r\n Melanie Konrad<\/strong>, Site Assessment, wpd Europe<\/p><\/td>\r\n <\/tr>\r\n

PO076<\/p><\/td>\r\n

Machine learning based approach for turbulence intensity measurement with pulsed DBS-Wind-LiDARs
\r\n Zouhair Khadiri-Yazami<\/strong>, Research Associate, Fraunhofer IEE<\/p><\/td>\r\n <\/tr>\r\n

PO077<\/p><\/td>\r\n

Use of scanning lidars for advanced measurement applications such as global blockage studies
\r\n Jens Riechert<\/strong>, DNV GL<\/p><\/td>\r\n <\/tr>\r\n

PO079<\/p><\/td>\r\n

Measuring effects of the Borkum Riffgrund 1 wind farm on FINO1 by means of long range lidar
\r\n Juan Jos\u00e9 Trujillo<\/strong>, Research Engineer, UL International<\/p><\/td>\r\n <\/tr>\r\n

PO081<\/p><\/td>\r\n

An average operator for RSD wind data that is neither scalar nor vector
\r\n Paul Mazoyer<\/strong>, Application Engineer, Leosphere<\/p><\/td>\r\n <\/tr>\r\n

PO082<\/p><\/td>\r\n

Do we need to calibrate Lidars against masts?
\r\n Matthew Smith<\/strong>, Senior Sales Manager, ZX Lidars<\/p><\/td>\r\n <\/tr>\r\n

PO083<\/p><\/td>\r\n

Quantification of icing loss for wind resource assessments in the Netherlands, using five years of measurement data from an IEC compliant met mast and LiDAR validation.
\r\n Anna Pulo<\/strong>, Senior Consultant, Navigant, a Guidehouse Company<\/p><\/td>\r\n <\/tr>\r\n

PO084<\/p><\/td>\r\n

TI: FLD vs Mast. Variations over different atmospheric and oceanographic conditions.
\r\n Adri\u00e0 Miquel<\/strong>, Reliability Engineer, Eolos Floating Lidar Solutions<\/p><\/td>\r\n <\/tr>\r\n

PO085<\/p><\/td>\r\n

Can I use my nacelle lidar for turbulence characterization? – A comparison study from DNV GL test site
\r\n Jens Riechert<\/strong>, DNV GL<\/p><\/td>\r\n <\/tr>\r\n

PO086<\/p><\/td>\r\n

CTurbulence intensity comparison from lidar and spinner anemometer measurements in an offshore wind farm
\r\n Katrin Ritter<\/strong>, Data Analyst, ROMO Wind<\/p><\/td>\r\n <\/tr>\r\n

PO089 <\/p><\/td>\r\n

Wide implementation of time series post-processing in CFD site assessment
\r\n Jonas Schmidt<\/strong>, Researcher, Fraunhofer IWES <\/p><\/td>\r\n <\/tr>\r\n

PO092<\/p><\/td>\r\n

A comparison of spectral and time series based methods for the synthesis of homogeneous and stationary stochastic velocity fields
\r\n Cristobal Gallego-Castillo<\/strong>, Universidad Polit\u00e9cnica de Madrid<\/p><\/td>\r\n <\/tr>\r\n

PO093<\/p><\/td>\r\n

Synthetic wind speed generation for the simulation of realistic diurnal cycles
\r\n Daniele D’Ambrioso<\/strong>, Vrije Universiteit Brussel<\/p><\/td>\r\n <\/tr>\r\n

PO097<\/p><\/td>\r\n

A tool to optimise lidar measurement campaigns: How many lidars, where and how long?
\r\n Lukas Pauscher<\/strong>, Research Associate, Fraunhofer IEE<\/p><\/td>\r\n <\/tr>\r\n

PO099<\/p><\/td>\r\n

The influence of different wind speed measurements using a meteorological mast or LiDAR system on the power curve evaluation
\r\n Jannes Vervoort<\/strong>, Research Associate, Fraunhofer IWES<\/p><\/td>\r\n <\/tr>\r\n

PO100<\/p><\/td>\r\n

Cost justification of floating lidars for wind resource and power performance
\r\n John Slater<\/strong>, Senior Consultant, Fichtner<\/p><\/td>\r\n <\/tr>\r\n

PO101<\/p><\/td>\r\n

Reducing Uncertainty by Reconstructing Data Across Met Towers
\r\n Tom Lambert<\/strong>, Windographer Product Manager, UL International <\/p><\/td>\r\n <\/tr>\r\n

PO102<\/p><\/td>\r\n

How long is long enough?The sensitivity of wind parameters to the duration of on-site measurement.
\r\n Andrew Good<\/strong>, Senior Wind Analyst, BrightWind Analysis<\/p><\/td>\r\n <\/tr>\r\n

PO103<\/p><\/td>\r\n

Seasonal Effects in Long-Term Correction of Short-Term Wind Measurements Using Different Reanalysis Datasets
\r\n Alexander Basse<\/strong>, Research Associate, University of Kassel<\/p><\/td>\r\n <\/tr>\r\n

PO104<\/p><\/td>\r\n

Shorter wind data for AEP calculation & risk analyses – Seasonality Impact
\r\n Georgios Valsamakis<\/strong>, Project Lead, Enercon<\/p><\/td>\r\n <\/tr>\r\n

PO108<\/p><\/td>\r\n

End to end validation to accurately estimate the overall impact of turbine wakes
\r\n Jonny Crease<\/strong>, Analyst – Pre-construction Wind, K2 Management<\/p><\/td>\r\n <\/tr>\r\n

PO110<\/p><\/td>\r\n

Assessing the effect of cluster wakes in different atmospheric stabilities
\r\n J\u00f6rge Schneemann<\/strong>, ForWind \u2013 Carl von Ossietzky University Oldenberug<\/p><\/td>\r\n <\/tr>\r\n

PO111<\/p><\/td>\r\n

Wake modelling from mesoscale time series
\r\n Bibiana Garc\u00eda-Hevia<\/strong>, Wind Assessment Expert \u2013 Senior Researcher, CENER<\/p><\/td>\r\n <\/tr>\r\n

PO112<\/p><\/td>\r\n

Wake model comparison considering Nysted and Horns Rev offshore wind farms
\r\n C\u00e9dric Dall’Ozzo<\/strong>, WRA Engineer, EDF Renouvelables<\/p><\/td>\r\n <\/tr>\r\n

PO114<\/p><\/td>\r\n

Cost-effective mesoscale simulations by downscaling ERA5 data
\r\n David Schillebeeckx<\/strong>, Wind Analyst, 3E<\/p><\/td>\r\n <\/tr>\r\n

PO115<\/p><\/td>\r\n

New wind atlas generation for Europe and Germany based on ERA5
\r\n Martin Schneider<\/strong>, Meteorologist, anemos GmbH<\/p><\/td>\r\n <\/tr>\r\n

PO116<\/p><\/td>\r\n

Next-generation wind atlases: challenges and lessons learned from the New European Wind Atlas
\r\n Bjarke Tobias Olsen<\/strong>, Postdoc, DTU Wind Energy<\/p><\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n<\/div><\/section>\r\n","protected":false},"excerpt":{"rendered":"

    The posters are brought to you by Analysis of Operating Wind Farms General and Strategy Topics Resource Assessment PO002 Impact of atmospheric conditions to the quality of day-ahead wind power forecast using Multi-Layer Perceptron neural network Minh-Thang Do, Data Scientist, Meteodyn PO003 Long Range measurement with a nacelle mounted lidar Julien Tissot, Application […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-731","page","type-page","status-publish","hentry"],"yoast_head":"\nPoster presentations - WindEurope Technology Workshop 2020<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/windeurope.org\/workshops\/tech2020\/posters\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Poster presentations - WindEurope Technology Workshop 2020\" \/>\n<meta property=\"og:description\" content=\"    The posters are brought to you by Analysis of Operating Wind Farms General and Strategy Topics Resource Assessment PO002 Impact of atmospheric conditions to the quality of day-ahead wind power forecast using Multi-Layer Perceptron neural network Minh-Thang Do, Data Scientist, Meteodyn PO003 Long Range measurement with a nacelle mounted lidar Julien Tissot, Application […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/windeurope.org\/workshops\/tech2020\/posters\/\" \/>\n<meta property=\"og:site_name\" content=\"WindEurope Technology Workshop 2020\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/windeurope\/\" \/>\n<meta property=\"article:modified_time\" content=\"2020-06-25T11:02:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/windeurope.org\/workshops\/tech2020\/images\/logos\/vortex.svg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@WindEurope\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/windeurope.org\/workshops\/tech2020\/posters\/\",\"url\":\"https:\/\/windeurope.org\/workshops\/tech2020\/posters\/\",\"name\":\"Poster presentations - 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