Topic 1 – Reducing uncertainty in data analysis Topic 2 – Reducing uncertainty in measurements Topic 3 – Improving simulations and modelling Topic 4 – Wakes
Topic 1 – Reducing uncertainty in data analysis and processing
| PO02 | Quantifying the uncertainty of CFD wind flow modeling Di Li, Wind Service Manager, WindSim AS |
| PO03 | Reducing uncertainty of wind speed measurements obtained on lattice masts Vladislavs Bezrukovs, Researcher, Ventspils University of Applied Sciences |
| PO05 | The influence of different algorithms for wind turbine’s generating capacity analysis and correction method research Desheng Miao, CFD Engineer, Ming Yang Smart Energy Group Limited |
| PO06 | A novel deterministic method for generating synthetic wind speeds Daniele D’Ambrosio, Vrije Universiteit Brussel (VUB) |
| PO08 | Aligning data requirements for realistic uncertainty evaluation Rozenn Wagner, Senior researcher, DTU Wind Energy |
| PO09 | Analysis of mesoscale wind data trends for areas with high wind resource variations and uncertainty quantification on long-term prediction Marion Jude, Wind Analyst, Eoltech |
| PO10 | Variance based uncertainty quantification of floating lidar systems and site specific uncertainty prediction using surrogate models Oliver Bischof, Researcher, University of Stuttgart, Stuttgart Wind Energy |
| PO11 | Demonstration of an open-source Python library for wind data processing and analysis Stephen Holleran, Brightwind |
| PO12 | Geographical influence in wind energy price: spatial analysis of capture price in the Iberian Peninsula Circe Triviño, Senior Data Scientist, DNV GL |
| PO14 | Reducing offshore wind estimation uncertainty in India: A comparison between various mesoscale and downscaled re-analysis data against validated offshore LiDAR measurements in Gujarat Cecilie Langhans, Wind Energy Specialist, COWI A/S |
| PO17 | Reduced uncertainty in quantification of offshore winds Gus Jeans, Director, Oceanalysis Ltd |
| PO18 | Uncertainty evaluation in resource assessment of wind energy potential Kiril Demerdziev, PhD student, SS Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and IT |
| PO21 | Which is best way for creating long term time-series? Paulo Henrique Valente Campos, Project Manager, Casa dos Ventos |
| PO22 | Reducing uncertainty in wind energy resource assessment by using multivariable distribution model Maja Celeska, Teaching & Research Assistant , Ss Cyril and Methodius University Skopje, Faculty of Electrical Engineering and Information Technologies |
Topic 2 – Reducing uncertainty in measurements using LiDARs
| PO24 | Application and Applicability Analysis of Scanning Lidar in Power Curve Test of Offshore Wind Turbine Yufeng Wei, Deputy director of the Load and Stress Analysis department, Ming Yang Smart Energy Group Limited |
| PO25 | RECAST – Changing the Resource Assessment game using WindScanners Rozenn Wagner, Senior researcher, DTU Wind Energy |
| PO26 | FLIDAR environmental sensitivity uncertainty – a case study leading to Stage 3 Breanne Gellatly, Director of Strategic Accounts, AXYS Technologies |
| PO28 | Improving vertical wind speed extrapolation using short-term lidar measurements Alexander Basse, University of Kassel |
| PO29 | Intercomparison of Sodar, Lidar and met Mast used for wind resource assessment. Lan Ding, Wind assessment engineer, EDF Renouvelables |
| PO30 | Floating Lidar Systems: a mature and reliable technology serving the offshore wind industry! Pablo Garcia ,Les Eoliennes en Mer (consortium Engie; EDPr; CdC and Sumitomo) |
| PO36 | Measuring accurate wind in forested area Paul Mazoyer, Lidar Wind Energy Engineer, Leosphere |
| PO38 | Lidar Error Correction – Sensitivity on resolution and boundary conditions Linda Voss, Meteorological models manager, GEO-NET Umweltconsulting GmbH |
| PO40 | Multi scanning lidar measurements for resource assessment: A case study in complex terrain Pedro Santos, PhD Student, DTU Wind Energy |
| PO41 | Wind lidar development for offshore wind parks: The AEOLIKOS case Dimitri Foussekis, Researcher, Centre for Renewable Energy Sources (CRES) |
| PO42 | A novel multi-LiDAR system for accurate wind and turbulence measurements in complex terrain – State of the project Zouhair Khadiri-Yazami, Research Fellow, Fraunhofer IEE |
| PO43 | Estimation of inflow turbulence by a forward-looking, scanning lidar Jakob Mann, Professor, DTU Wind Energy |
| PO45 | Optimization of lidar based measurement strategies for resource assessment of wind farms – State of the LiMeS project Doron Callies, coordinator, Fraunhofer IEE |
| PO46 | Uncovering wind conditions in complex terrain with Dual-Doppler lidars Jakob Mann, Professor, DTU Wind Energy |
Topic 3 – Improving simulations and modelling with regards to levels of uncertainty
| PO48 | Reducing the bias of mesoscale wind simulations Lasse Blanke, Authorized Officer, Anemos GmbH |
| PO49 | Monin-Obukhov similarity theory and its application to wind flow modelling over complex terrain Hendri Breedt, Wind and Site Engineer (CFD), Siemens Gamesa Renewable Energy |
| PO50 | “Where should we promote measurements to « control/drive/validate » wind « macro/meso/micro » models ?” : design of a new methodology. Alexis Dutrieux, Managing Director, ATM-PRO S.P.R.L. |
| PO51 | Bias Adjustment Factor on Energy Yield Assessments Guillaume Boutonnet, Operational Assessment Engineer, EDF Renouvelables |
| PO55 | Spatial Extrapolation uncertainties for different flow model types Kai Moennich, Senior Engineering Lead Energy Services, UL International GmbH |
| PO56 | Can the mast shear be extrapolated to hub height? Kai Moennich, Senior Engineering Lead Energy Services, UL International GmbH |
| PO57 | The “OWA Wake Modeling Challenge”: towards an open-access model evaluation methodology for array efficiency prediction Javier Sanz Rodrigo, Senior Researcher, CENER |
| PO58 | Improved lifetime and suitability decisions using wind climate uncertainty in a lightweight reliability setup Lasse Svenningsen, R&D Manager, EMD International A/S |
| PO60 | Meso- to microscale coupling via dynamical tendencies for determining site conditions in complex terrain Bjarke Tobias Olsen, Post. Doc., DTU Wind Energy |
| PO62 | Improved WAsP flow modelling using remotely-sensed land cover products. Rogier Floors, Scientist, DTU Wind Energy |
| PO63 | The road towards the NEWA mesoscale wind atlas: How to generate and manage 6000 Terabytes of model data Björn Witha, Researcher, ForWind, Oldenburg University |
| PO64 | The NEWA probabilistic wind atlas: Assessing model uncertainty with a large WRF ensemble Jorge Navarro, Researcher, Renewable Energy Division, CIEMAT, Spain |
Topic 4 – TBC
Topic 4 – Wakes
| PO67 | Multi windfarms interactions : a methodology to assess losses induced by new windfarm implementation Alexis Dutrieux, Managing Director, ATM-PRO S.P.R.L. |
| PO68 | Impact of ground clearance on wind farm performance – model verification Wolfgang Schlez, Director, ProPlanEn |
