Posters
See the list of poster presenters at the Technology Workshop 2026 – and check out their work!
For more details on each poster, click on the poster titles to read the abstract.
PO01: A Measurement-Consistent, Power-Weighted 3-D Framework for Wind-Turbine Power-Curve Reconstruction from Operating Data
Toan Vu Huy, Senior Expert, Construction machinery and Industrial works CONINCO joint stock Company
PO02: A model-based Wind Farm Digital Twin for under-performance & wind speed measurement errors detection
Ambroise Cadoret, R&D Wind Engineer, GreenWITS
PO03: A Scalable Data-Driven Approach for Estimating and Monitoring Wake Losses in Wind Farms
Philip Bradstock, Head of analytics, Bitbloom
PO05: The Importance of Database Size for Machine Learning Techniques in Power Curve Analysis
Rebeca Rivera Lamata, Founder and Freelance Consultant, WindColab
PO06: Turbine Power Performance in Variable Atmospheric Stability and Wind Shear
Philip Bradstock, Head of analytics, Bitbloom
PO07: Wind speed estimation from wind turbine operational data
Keno Ohrmann, Research associate, Fraunhofer - IWES
PO08: An analytical model for filtering wind farm validation data for a better estimation of interaction loss error.
Piyush Singh, Energy Yield Specialist, JERA Nex bp
PO09: Harnessing the Winds of Change: Advancing Offshore Yield Assessments with Engineering and Weather-based Models
Joseph Anthony Vitulli, Senior Consultant - Offshore Wind Advisory, Ramboll
PO10: Informing wind farm availability and grid curtailment from publicly available energy trading data.
Piyush Singh, Energy Yield Specialist, JERA Nex bp
PO11: Transmission System Availability: Benchmarking and Validation of AEP Losses
Andrew Henderson, Chief Windfarm Engineer, Copenhagen Offshore Partners
PO12: Methods to correct the nacelle direction of operating wind turbines in a mid-complex site
Thea Vanelli, PhD student, DTU Wind & Energy Systems
PO13: Monitoring of nonferrous metal passivators in gear oils – Proactive copper wear detection in wind turbines - Significance for the operation and case studies
Stefan Mitterer, Business Director Technical Service and Sales, OELCHECK GmbH
PO14: Realistic wake steering assessment: integrating field experience into pre-construction models
David Schillebeeckx, Wind Data Expert, Laborelec Engie
PO16: Achieving Measurable AEP Uplift Through Adaptive Control: Open-Source Data and Methods
Alex Clerc, Controls Product Engineer, RES
PO19: A data-driven methodology for automated KPI assessment of bat curtailment effectiveness in wind farms
Maelys Fuchs, Wind resources and performance engineer, CGN EUROPE ENERGY
PO20: A parametric correction model for fatigue loads under derated rotor speeds
Troels Juul Taudorf, R&D Engineer, EMD International A/S
PO22: Bridging the gap between pre-construction AEP assumptions and realized performance: the role of port readiness and installation logistics
Enrika Uusitalo, Business Development Manager Baltic Offshore Wind, Sarens NV
PO23: Data-Driven Life-Aware Control of Floating Offshore Wind Farms
Federico Bellini, Ing., Politecnico Di Milano
PO24: Forecasting ice conditions for offshore wind port marshaling operations in cold climates
Enrika Uusitalo, Business Development Manager Baltic Offshore Wind, Sarens NV
PO25: Modeling wind turbine wake losses an a large scale: a comparison of wind turbine-specific wake decay constants from various data sources
Johannes Hirschmann, Research Assistant, Fraunhofer Institute for Energy Economics and Energy System Technology (IEE)
PO26: A Novel Method for Detecting and Characterizing Wind-Speed and Power Ramp Events Using Swinging Door Algorithm (SDA)
Zhi Liang, Principal Engineer, University of Chinese Academy of Sciences
PO27: Accelerating Sensor Development via Digital Twin Integration for Predictive Maintenance in Wind Turbine Transmissions
Jan Timmer, Development Engineer, Inmox GmbH
PO28: Aeroacoustic-based wind turbine blade trailing-edge crack severity identification using physics-informed deep learning
Muyao Li, PhD candidate, Eindhoven University of Technology
PO29: Blade Vibrations as a Turbine-Level Health Indicator
Aida Takhmazova, Data Scientist, Turbit Systems GmbH
PO30: Case study: supporting the maintenance management of wind turbine fleets with gearbox defect patterns using condition monitoring systems
Emerson Lima, Manager of Condition Analysis Center, AQTech Power Prognostics
PO31: Comprehensive study towards effect of wind turbine curtailment on lifetime
Menno Kloosterman, Principal Engineer, DNV
PO33: Enhanced Anomaly Detection Methodology and Comprehensive Results for Wind Turbines Using Deep Learning and Statistics on CMS Vibration Data
Breno Carvalho, Performance Engineer, Casa dos Ventos
PO35: Preventing Unnoticed Faults: Improving Model Reliability via Distribution-Optimized SCADA Partitioning
João Campos, Performance Engineer , Jungle AI
PO36: Scaling Lessons Learned Across Wind Fleets at Time of Need Using Generative AI and Maintenance History
Bora Tokyay, Co-Founder and CEO, Kavaken Limited
PO38: EPCI Instrumentation reservations are a Bottleneck for SCADA and successful predictive maintenance.
Sherif Gebaly, Renewables Investment Director, Arcadis
PO39: A Data-Driven Approach for Estimating Wind Turbine Restart Success Probability
Gustavo Grubler, Data Scientist, AQTech Power Prognostics
PO41: Lifetime evaluation based on SCADA data and aeroelastic model validation using mechanical loads testing and lidar measurements
Asier Olcoz, Senior Project Engineeer, UL Solutions
PO42: Predictive Monitoring of Pitch Bearing End-of-Life: A Case Study on Motor Current Anomaly Detection and Maintenance Validation
Nathianne Andrade, Head of Performance Engineering, Delfos Energy
PO43: A novel combination of mast and lidar to enable 300m reference measurements
Seyi Latunde-Dada, Senior Algorithm Scientist, ZX Lidars
PO44: A Practical Approach to 8760 Wind Power Time Series Generation
Chaime Malo, Wind consultant, SÓLIDA ENERGÍAS RENOVABLES
PO45: A way of estimating representative turbulence intensity by weighting multiple climatologies
Alexios Theofilopoulos, Mechanical Engineer, Istos Renewables Ltd
PO46: Above and beyond the ZX 300e's 200m classification
James Downs, Senior Data Analyst, ZX Lidars
PO47: Applying Meso-Micro Coupling in Wind Resource Assessment in Challenging Cases: Validation and Insights
Zixiao Jiang, Technical director, Meteodyn China
PO48: Approaches to Refining and Reducing Avian Loss Estimates in Wind Farms: A Case Study
Arthur Cachia, Senior Wind Energy Yield Analyst, EDF Renouvelables
PO51: Detecting Thrust Coefficient (Ct) Anomalies
Lan Ding, Senior Performance Ingenieer, EDF Renouvelables
PO52: Investigation of CERRA as a robust long-term wind resource reference dataset
Steve Cordle, Senior Wind Analyst, BrightWind
PO53: Long-term correction of short-term wind measurements using Similarity-Guided Multi-Source Ensemble Learning with Domain Generalization
Berke Sentürk, Master Thesis Student, Fraunhofer Institute for Energy Economics and Energy System Technology (IEE)
PO54: Loss Modelling for Hourly Wind Production Timeseries in Hybrid Renewable Systems
Matthew Zhang, Principal Engineer, Wind Energy Resource, Lightsource bp
PO55: Multiscale modelling of wind farm wakes through international collaboration: the EuroWindWakes project
Jake Badger, Head of Section, Resource Assessment and Meteorology, DTU Wind and Energy Systems
PO56: Zero-Shot Weak Annotation of Avian Species Using Large Vision-Language Models
George Dimas, Head of R&D, nvisionist S.A.
PO57: A case study of accounting for turbine interaction effects inherent within public wind measurements.
Mark Wyper, Senior Wind Energy Specialist, JERA Nex bp
PO58: Air–sea interactions in the wake of wind farms
Laury Renac, Senior Metocean Consultant, REdouble
PO60: Mapping inter‑annual wind speed variability in the Southern Baltic: influence on offshore yield assessments
Marceli Tauzowski, Head of Wind Analytics and Optimisation, PGE Baltica
PO61: Weather regimes for wind resource assessment of large offshore wind farm clusters
Oscar Garcia-Santiago, PhD Student, DTU Wind and Energy Systems
PO62: Weather2Wakes: A weather-driven surrogate model for mesoscale wake prediction
Nicolas G. Alonso-de-Linaje, PhD student, DTU Wind & Energy Systems
PO63: What is the optimal hindcast length? Investigating the sensitivity of hindcast length from metocean and wind resource perspectives.
Jacob Royle, Chief Metocean Consultant, Ramboll
PO66: Portfolio effect on long-term energy yield assessments
Nicolas Meerts, Technical Lead, 3E
PO67: Recalibration of Atlas wind speed using a statistical approach based on onsite measurements and open-source data
Yasmine Tarchouna, Operational Assessment Engineer, EDF Power Solutions
PO68: STRAIGHT - Increasing quality and efficiency in energy yield estimation for wind farms
Lasse Blanke, Managing Director, anemos GmbH
PO69: Validating and Extending the ΔRIX Correction: A Multi-Site Data Pool for WAsP Predictions in Complex Terrain
Osaid Qasim, Wind Energy Analyst and Energy engineering Master Student, USENS Energy Solutions
PO70: Improved low-uncertainty calibration for reliable and accelerated nacelle lidar deployment
Mathieu Pellé, Development engineer, DTU Wind & Energy Systems
PO71: Measuring the wind for a (theoretical) 400m rotor diameter turbine at Test Centre Østerild
Paula Gómez, Senior executive officer at DTU Wind and Energy Systems, DTU Wind and Energy Systems
PO72: Simulation and Compensation of Environmental Sensitivities in Lidar Measurements
Andrew Black, Research & Applications Engineer, Vaisala
PO73: Efficient Pre-Validation of Floating LiDAR Systems Using a Mobile Onshore Test Stand
Holger Fürst, Researcher, Stuttgart Wind Energy (SWE), University of Stuttgart
PO74: Motion compensation applied to dual-lidar FLS
Anselme Troiville, Senior Wind and Metocean Data Lead, Green Rebel
PO76: Adjustment Method for Ground-Based Lidar Measurements of Turbulence Intensity Using Perturbation Theory in Flat Terrain
Joram de Vries, Wind Resource Analyst, Vattenfall
PO77: Bayesian state estimation of 3D wind field from Doppler lidar measurements
Petri Varvia, Project researcher, University of Eastern Finland
PO78: CFD-Based LiDAR Data Correction: A Large-Scale Validation Across 15 Sites in Brazil
Leonardo Gonçalves Chiquita, Project Engineer, Casa dos Ventos
PO80: Simulating the Impact of Flow Complexity and Sampling Schemes on Ground-Based Lidar Wind Measurements
Zack Glindon, Performance Analyst, ZX Lidars
PO81: Turbulence intensity correction in Doppler lidars using energy dissipation rate estimation
Mohammadreza Manami, Industrial PhD Candidate, DTU Wind & Energy Systems
PO82: Assessment of engineering and mesoscale models for far-reaching wind farm wakes under atmospheric variability
Marion Coquelet, Research Engineer, France Energies Marines
PO83: Lidar-Based Assessment of Low-Level Jets over the Sea of Marmara for Nearshore Wind Energy Applications
Elif Dilara Çiçek, Wind resource analyst, usens energy solutions
PO84: Measuring wake effects on the boundary layer height
Erik Holtslag, Senior consultant, REdouble
PO85: Sensitivity of wind farm-induced gravity waves to rotor tip clearance and turbulence intensity
Udhaya Chandiran Krishnan Paranjothi, PhD Candidate, Wind Energy Section, TU Delft
PO86: Multidecadal variability vs climate change: is ERA5 fit for purpose to disentangle them?
Kai Lochbihler, Climate Analyst, Climate Scale
PO87: Comparative Assessment of Mesh-Based and Particle-Based CFD Approaches for Breaking Wave Hydrodynamics Modelling
Vignesh R, Student, Indian Institute of Technology Madras
PO88: Assessment of climate change risk on wind energy yield
Simone Pfau, Scientist Wind field modeling, GEO-NET Umweltconsulting GmbH
PO89: Horizontal extrapolation of extreme winds for wind-farm repowering
Antonio Sebastiano Piazzoni, Head of Wind Energy Assessment, Edison S.p.A.
