{"id":273,"date":"2025-03-05T17:16:49","date_gmt":"2025-03-05T16:16:49","guid":{"rendered":"https:\/\/windeurope.org\/tech2025\/?page_id=273"},"modified":"2025-03-06T09:40:33","modified_gmt":"2025-03-06T08:40:33","slug":"posters","status":"publish","type":"page","link":"https:\/\/windeurope.org\/tech2025\/programme\/posters\/","title":{"rendered":"Posters"},"content":{"rendered":"
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See the list of poster presenters at the Technology Workshop 2025 – and check out their work!<\/h3>\r\n

For more details on each poster, click on the poster titles to read the abstract.<\/p>\r\n

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PO001: Effect of data sampling frequency on Side-by-Side AEP uplift assessments<\/a><\/h3>\r\n

Chandramouli Santhanam<\/a>, Specialist Data Engineer, PowerCurve<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO002: Assessing Electrical Losses at Wind Power Plants<\/a><\/h3>\r\n

Deniz Erol<\/a>, Wind Energy Analyst, USENS Energy Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO003: New approach to blade degradation energy losses in wind farms<\/a><\/h3>\r\n

Jorge Garcia Osanz<\/a>, Senior engineer, DNV<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO005: Turbine performance degradation. Insights from a fleet analysis.<\/a><\/h3>\r\n

Louise Hanne<\/a>, Wind expert, 3E<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO006: Identifying Controller Parameters of Wind Turbine from High Frequency Operational Data<\/a><\/h3>\r\n

Osman Cem Y\u0131lmaz<\/a>, Wind Performance Engineer, RES<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO008: Estimating the wake steering AEP gain potential using standard EYA<\/a><\/h3>\r\n

Johannes Schreiber<\/a>, Co-founder, ventodyne GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO009: Wake steering optimisation for large farms and farm clusters<\/a><\/h3>\r\n

Emilie Quenedey<\/a>, Wind engineer, GreenWITS <\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO011: Automated Rotor Balancing: A Solution to Reduce Aerodynamic Imbalances in Wind Turbines<\/a><\/h3>\r\n

Christian Reichmann<\/a>, Data & Operational Performance Engineer, DEIF Wind Power Austria GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO012: Optimization of the operation of the Princess Elisabeth energy island using convex mathematical programming<\/a><\/h3>\r\n

Edvald Edvaldsson<\/a>, CTO, Youwind <\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO013: How to down-select turbine locations to optimise wind farm production considering turbine supply chain uncertainties?<\/a><\/h3>\r\n

Jonas Pfau<\/a>, Resource Analyst, RWE<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO014: Feasibility of Energy Storage Systems for Mitigating Constrained-Off in Wind Farms: A Case Study in the Brazilian Northeast<\/a><\/h3>\r\n

Marcella Lazar<\/a>, Project Engineer, Casa dos Ventos<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO015: Transforming variability into value: the role of portfolio benefit analysis in wind energy<\/a><\/h3>\r\n

Mike Optis<\/a>, President, Veer Renewables<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO016: A Decomposed Approach to Calibration of Anemometer Signals for Consistent Performance Monitoring<\/a><\/h3>\r\n

Philip Bradstock<\/a>, Head of Analytics, Bitbloom<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO017: Optimization of yaw misalignment based on satellite imagery and numerical weather models<\/a><\/h3>\r\n

Samuel Davoust<\/a>, Science lead and co-founder, Tipspeed<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO018: From Data to Action: AI-Based Monitoring and Diagnostics of Wind Turbines with SCADA Data\u2014Real-World Case Studies<\/a><\/h3>\r\n

Jo\u00e3o Campos <\/a>, Performance Engineer , Jungle AI<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO019: Estimating time to recovery for better availability forecasting at scale<\/a><\/h3>\r\n

Monnelle Comeau<\/a>, Lead Data Scientist - Wind, Power Factors<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO020: A Hybrid GRA-WPD-GRU Deep Learning Approach for Ultra-Short-Term Wind Power Prediction<\/a><\/h3>\r\n

Pei Huang<\/a>, Engineer, Longyuan (Beijing) New Energy Engineering Technology Co.<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO022: Tree-based Spatio-temporal Feature Learning for Short-term Wind Power Forecasting Tasks<\/a><\/h3>\r\n

Selahattin Seha Cirit<\/a>, Meteorology Data Scientist, Algopoly<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO024: What We Can Learn from Short-Term Measurement Campaigns During Offshore Wind Turbine Installation and Early Operations<\/a><\/h3>\r\n

Joshua Schrauder<\/a>, Engineer, Ramboll Germany GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO025: BladeWatch - A multi-objective optimization framework for advancing blade monitoring algorithms executable on power-constrained wireless sensor nodes <\/a><\/h3>\r\n

Lukas Hanna<\/a>, Researcher, Materials Center Leoben<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO026: ReWind: Exploring carbon-effective solutions for wind farm decommissioning.<\/a><\/h3>\r\n

Matthew Geraghty<\/a>, Founder and Venture Lead, ReWind a DNV Company<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO027: A Framework for Optimising the Operations and Maintenance of Offshore Wind Farms<\/a><\/h3>\r\n

Nassif Berrabah<\/a>, Lead Research Engineer, EDF R&D<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO028: Machine Learning-Driven Automated RCA for Optimizing Wind Farm Performance: A Practical Tool for Owners and Operators<\/a><\/h3>\r\n

Roberto Echeverria Delgado<\/a>, Wind turbine control specialist, Creadis<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO029: From Data to Diagnosis: AI Models for Turbine Health Monitoring<\/a><\/h3>\r\n

Sergio Arregui Rem\u00f3n<\/a>, Researcher, CIRCE<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO030: A statistical conflation approach to wind resource assessment: combining CFD models, multisource data, and uncertainty analysis for greenfield and reconstruction projects<\/a><\/h3>\r\n

Antonio Sebastiano Piazzoni<\/a>, Head of Wind Energy Assessment, Edison S.p.A.<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO031: Affordable, full-physics wind resource maps: how a smart selection of LES runs accurately captures horizontal heterogeniety and long-term statistics.<\/a><\/h3>\r\n

Ardjan Sturm<\/a>, Scientist, Whiffle<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO032: Least Squares Regression Method of MCP: Performance Evaluation of Long-Term Correction Methods of Scaling and Data-Filling in Different Time Domains<\/a><\/h3>\r\n

Bar\u0131\u015f G\u00fcndo\u011fan<\/a>, Wind Energy Analyst, USENS Energy Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO033: Comparative analysis of preliminary vs. bankable net energy production estimates<\/a><\/h3>\r\n

Bar\u0131\u015f Takan<\/a>, Project Engineer - Asset & Sustainability Performance, UL Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO034: Wake Modelling at the National Scale<\/a><\/h3>\r\n

Ben Jenner<\/a>, Consultant, Frazer-Nash Consultancy<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO035: Atypical Meteorological Data Detection Using Machine Learning Models for Identifying Anomalies in Wind Data<\/a><\/h3>\r\n

Chaima Ben Larbi<\/a>, Wind Technology Technician, ACCIONA Energ\u00eda<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO036: Automated Time-Series-Based Calculation of Noise Losses<\/a><\/h3>\r\n

Doron Callies<\/a>, Group Leader, Fraunhofer - IEE<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO037: Integration of satellite and in-situ observations using AI for offshore renewable energy resource assessment<\/a><\/h3>\r\n

Giacomo Grandi<\/a>, Data Scientist, MESPAC<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO038: Evaluation of T\u00fcrkiye's Offshore Wind Energy Potential: Comparison of Global Wind Atlas Data and Measurement Masts<\/a><\/h3>\r\n

Elif Dilara \u00c7i\u00e7ek<\/a>, Wind Energy Analyst, USENS Energy Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO039: Monthly and seasonal forecasting of wind farm production: validation and benchmark<\/a><\/h3>\r\n

Gang Huang<\/a>, Research engineer, Meteodyn<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO040: Taming Turbulence: A Comparison between Motion Compensation and Machine Learning for FLS measured TI<\/a><\/h3>\r\n

Giacomo Rapisardi<\/a>, Data Scientist, EOLOS Floating Lidar Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO042: Fast wave and ocean flow modelling for two operating wind farms<\/a><\/h3>\r\n

Ioannis Koumaniotis<\/a>, Data Scientist R&DI\/ Metocean Engineer, DHI A\/S<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO043: Optimizing Wind Data Filling for Uncertainty Reduction in Wind Resource Assesment<\/a><\/h3>\r\n

Jos\u00e9 Miguel Verde<\/a>, Wind resource engineer, WINDTEC ENERGIA SLNEP<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO045: Introducing a Decision Tool for Aligning Wind Resource and Metocean Studies<\/a><\/h3>\r\n

Jorge Garza<\/a>, Senior Specialist, C2Wind<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO046: Influence of atmospheric stability determination methods on wind resource assessment and negative wind shear simulation<\/a><\/h3>\r\n

Aur\u00e9lien Gaussorgues<\/a>, Senior Wind Engineer, EDF Renouvelables<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO049: Studying the Interdependency between Wake Loss Modelling and Wind Farm Availability on AEP<\/a><\/h3>\r\n

Mark Wyper<\/a>, Senior Energy Yield Specialist, bp<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO050: Validation of LiDAR Availability-improving Algorithms<\/a><\/h3>\r\n

Martin Richter-Rose<\/a>, Head of the Energy Yield Assessment and R&D Department, Pavana GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO051: Advancing hybrid energy yield assessment for H2-production accuracy via time-variant calculation<\/a><\/h3>\r\n

Martin Richter-Rose<\/a>, Head of the Energy Yield Assessment and R&D Department, Pavana GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO053: Atlas of Icing Losses for Wind Energy in T\u00fcrkiye<\/a><\/h3>\r\n

Osaid Qasim<\/a>, Wind Energy Analyst and Energy engineering Master Student, USENS Energy Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO054: AI-based module for turbulence correction of wind profiling lidar measurements<\/a><\/h3>\r\n

Paul K\u00fchn<\/a>, Team Leader, Fraunhofer - IEE<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO056: Selectively Averaged Runs for Annual Energy Productions Assessments: Doing more with LES.<\/a><\/h3>\r\n

Sam Williams<\/a>, Senior Scientist, RWE<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO057: Enhancing floating ZX Lidar\u2019s wind direction using high frequency yaw correction<\/a><\/h3>\r\n

Sandra Coll-Vinent<\/a>, Data Scientist, EOLOS Floating Lidar Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO058: Understanding Correlation Patterns in Wind Energy: A Data Driven Path to smarter Investments and Planning<\/a><\/h3>\r\n

Sergio Jimenez<\/a>, Wind Engineer, Energy Systems, DNV<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO059: Comparing the use of Reanalysis and Meteorological Station Data as a Long-Term Reference in the Measure-Correlate-Predict Procedure<\/a><\/h3>\r\n

Simon Watson<\/a>, Professor of Wind Energy Systems, TU Delft<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO062: Application of a novel multi-year optimization tool to design the optimal sizing of a multi-GW hybrid renewable plant.<\/a><\/h3>\r\n

Tommaso Audino<\/a>, Wind Specialist, Eni Plenitude SpA<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO063: Designing floating offshore wind farm layouts with the lowest LCoE: an innovate scalable multi-objective optimization algorithm using high-performance computing (HPC)<\/a><\/h3>\r\n

Valerio Labattaglia<\/a>, Technical Manager, Eni Plenitude SpA<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO065: 97%+ availability of wind speed data in extreme clean-air conditions: Observations and analysis of continuous-wave Lidar performance in high altitude wind assessment campaigns in Chile<\/a><\/h3>\r\n

Alex Bennett<\/a>, Data Analyst, ZX Lidars<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO066: Validation of wind turbine icing model<\/a><\/h3>\r\n

Annika Baltzer<\/a>, Technical Head of Department for Lidar Verification, Pavana GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO067: Precision Through Placement: Optimizing Met Mast Boom Orientation<\/a><\/h3>\r\n

Lars Levermann<\/a>, Managing director of PAVANA GmbH, PAVANA GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO068: Accurate estimation of rotor effective wind speed (REWS) and equivalent wind shear of large turbines using Nacelle-Mounted LiDAR (NML)<\/a><\/h3>\r\n

Chunyi Hou<\/a>, Research & Application Manager, Movelaser<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO069: Floating lidar measurement uncertainties for Stage 3 Lidars employing the risk-based approach to measurement campaigns<\/a><\/h3>\r\n

Coline Daguet<\/a>, Engineer Wind Analyst, DNV<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO070: Which Lidar System Should be Used for Offshore Wind \u200bResource Assessments in the Turkish Market?<\/a><\/h3>\r\n

Hazem Rabhi<\/a>, Science & Application Engineer, Wind Energy, Vaisala<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO071: Validation and Applicability of CFD-Conversions for Lidar in Complex Terrain: A Comprehensive Proof Book<\/a><\/h3>\r\n

John Medley<\/a>, Head of Data and Insights, ZX Lidars<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO072: LiDARWindX: Can we trust Dual Doppler Scanning LiDARs for offshore wind measurements?<\/a><\/h3>\r\n

Julien HAIZE<\/a>, Offshore Wind Lead Engineer, TOTALENERGIES<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO074: Performance and Value of a Zx LiDAR in predominantly stable atmospheric desert site conditions with a comparison against co-located met mast and Fulcrum3D SoDAR<\/a><\/h3>\r\n

Sasikumar Duraisamy<\/a>, Wind Resource Manager, Intercontinental Energy<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO075: Vertical Extrapolation of Wind Speed Data using Deep Learning Approach<\/a><\/h3>\r\n

Zia ul Rehman Tahir<\/a>, Associate Professor, University of Engineering and Technology Lahore<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO076: Evaluating the Impact of Orographic Maps on WRF-LES Model Performance: A Comparison for Perdiago Site<\/a><\/h3>\r\n

Erkan Y\u0131lmaz<\/a>, PhD Student, Istanbul Technical University<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO077: Case Study: The impact of atmospheric stability conditions on operational wind farm wake losses<\/a><\/h3>\r\n

Andrew Good<\/a>, Director of Advisory, BrightWind<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO080: A new correction method for wind measurements from ground-based lidar in complex terrain<\/a><\/h3>\r\n

Liu Zhixin<\/a>, International Research & Application Manager, Movelaser<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO082: A new methodology for extreme value analysis in the wind industry<\/a><\/h3>\r\n

Wouter Pustjens<\/a>, Wind resource specialist, Pondera Consult<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO083: Measurement of atmospheric Turbulence Intensity (TI) and one parameterized model of TI vertical profile based on Nacelle-Mounted Lidar (NML)<\/a><\/h3>\r\n

Aur\u00e9lie Jeannin<\/a>, Market Development Manager, Vaisala<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO084: High-Resolution CFD Analysis of Wind Flow Variations due to Semi-Excavated Turbine Platforms in Mountainous Terrain<\/a><\/h3>\r\n

Xin Xie<\/a>, Senior wind resource engineer, Meteodyn China<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO087: Quantifying and Validating the Impact of Climate Change on Wind Resources in the Mediterranean Sea and Southern North Sea.<\/a><\/h3>\r\n

Jorge Garza<\/a>, Senior Specialist, C2Wind<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO088: Assessing the Impact of Climate Change on Wind Energy Using Advanced Modeling and Correction Techniques<\/a><\/h3>\r\n

Mehmet Kalfazade<\/a>, Wind Resource Assessment Engineer, Polat Energy<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO089: How common are dunkelflaute conditions offshore north west Europe?<\/a><\/h3>\r\n

Phillip Hargreaves<\/a>, Senior Specialist, Wind and Metocean, TGS<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO090: Energy yield assessments considering climate change<\/a><\/h3>\r\n

Simone Pfau<\/a>, Scientist Wind Field Modeling, GEO-NET Umweltconsulting GmbH<\/p>\r\n <\/div>\r\n <\/div>\r\n

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PO091: The impact of extension wind turbines on operational existing wind turbines<\/a><\/h3>\r\n

Nurseda Yildirim Yurusen<\/a>, Senior Project Engineer, UL Solutions<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n<\/section>","protected":false},"excerpt":{"rendered":"

See the list of poster presenters at the Technology Workshop 2025 – and check out their work! 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