{"id":10246,"date":"2019-04-25T15:35:05","date_gmt":"2019-04-25T13:35:05","guid":{"rendered":"http:\/\/windeurope.org\/workshops\/resource-assessment-2019\/poster-presentations\/"},"modified":"2019-06-21T11:13:48","modified_gmt":"2019-06-21T09:13:48","slug":"posters","status":"publish","type":"page","link":"https:\/\/windeurope.org\/workshops\/resource-assessment-2019\/posters\/","title":{"rendered":"Poster presentations"},"content":{"rendered":"
Topic 1 – Reducing uncertainty in data analysis<\/a> Topic 2 – Reducing uncertainty in measurements<\/a> Topic 3 – Improving simulations and modelling<\/a> Topic 4 – Forecasting<\/a> Topic 4 – Wakes<\/a><\/div>\n
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Topic 1 – Reducing uncertainty in data analysis and processing<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PO02<\/td>\nQuantifying the uncertainty of CFD wind flow modeling<\/em>
\nDi Li<\/strong>, Wind Service Manager, WindSim AS<\/td>\n<\/tr>\n
PO03<\/td>\nReducing uncertainty of wind speed measurements obtained on lattice masts<\/em>
\nVladislavs Bezrukovs<\/strong>, Researcher, Ventspils University of Applied Sciences\n<\/td>\n<\/tr>\n
PO05<\/td>\nThe influence of different algorithms for wind turbine\u2019s generating capacity analysis and correction method research<\/em>
\nDesheng Miao<\/strong>, CFD Engineer, Ming Yang Smart Energy Group Limited<\/td>\n<\/tr>\n
PO06<\/td>\nA novel deterministic method for generating synthetic wind speeds<\/em>
\nDaniele D’Ambrosio<\/strong>, Vrije Universiteit Brussel (VUB)<\/td>\n<\/tr>\n
PO08<\/td>\nAligning data requirements for realistic uncertainty evaluation<\/em>
\nRozenn Wagner<\/strong>, Senior researcher, DTU Wind Energy<\/td>\n<\/tr>\n
PO09<\/td>\nAnalysis of mesoscale wind data trends for areas with high wind resource variations and uncertainty quantification on long-term prediction<\/em>
\nMarion Jude<\/strong>, Wind Analyst, Eoltech<\/td>\n<\/tr>\n
PO10<\/td>\nVariance based uncertainty quantification of floating lidar systems and site specific uncertainty prediction using surrogate models<\/em>
\nOliver Bischof<\/strong>, Researcher, University of Stuttgart, Stuttgart Wind Energy<\/td>\n<\/tr>\n
PO11<\/td>\nDemonstration of an open-source Python library for wind data processing and analysis<\/em>
\nStephen Holleran<\/strong>, Brightwind<\/td>\n<\/tr>\n
PO12<\/td>\nGeographical influence in wind energy price: spatial analysis of capture price in the Iberian Peninsula<\/em>
\nCirce Trivi\u00f1o<\/strong>, Senior Data Scientist, DNV GL<\/td>\n<\/tr>\n
PO14<\/td>\nReducing offshore wind estimation uncertainty in India: A comparison between various mesoscale and downscaled re-analysis data against validated offshore LiDAR measurements in Gujarat<\/em>
\nCecilie Langhans<\/strong>, Wind Energy Specialist, COWI A\/S<\/td>\n<\/tr>\n
PO17<\/td>\nReduced uncertainty in quantification of offshore winds<\/em>
\nGus Jeans<\/strong>, Director, Oceanalysis Ltd<\/td>\n<\/tr>\n
PO18<\/td>\nUncertainty evaluation in resource assessment of wind energy potential<\/em>
\nKiril Demerdziev<\/strong>, PhD student, SS Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and IT<\/td>\n<\/tr>\n
PO21<\/td>\nWhich is best way for creating long term time-series?<\/em>
\nPaulo Henrique Valente Campos<\/strong>, Project Manager, Casa dos Ventos<\/td>\n<\/tr>\n
PO22<\/td>\nReducing uncertainty in wind energy resource assessment by using multivariable distribution model<\/em>
\nMaja Celeska<\/strong>, Teaching & Research Assistant , Ss Cyril and Methodius University Skopje, Faculty of Electrical Engineering and Information Technologies<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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Topic 2 – Reducing uncertainty in measurements using LiDARs<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PO24<\/td>\nApplication and Applicability Analysis of Scanning Lidar in Power Curve Test of Offshore Wind Turbine<\/em>
\nYufeng Wei<\/strong>, Deputy director of the Load and Stress Analysis department, Ming Yang Smart Energy Group Limited<\/td>\n<\/tr>\n
PO25<\/td>\nRECAST \u2013 Changing the Resource Assessment game using WindScanners<\/em>
\nRozenn Wagner<\/strong>, Senior researcher, DTU Wind Energy<\/td>\n<\/tr>\n
PO26<\/td>\nFLIDAR environmental sensitivity uncertainty \u2013 a case study leading to Stage 3 <\/em>
\nBreanne Gellatly<\/strong>, Director of Strategic Accounts, AXYS Technologies<\/td>\n<\/tr>\n
PO28<\/td>\nImproving vertical wind speed extrapolation using short-term lidar measurements<\/em>
\nAlexander Basse<\/strong>, University of Kassel<\/td>\n<\/tr>\n
PO29<\/td>\nIntercomparison of Sodar, Lidar and met Mast used for wind resource assessment. <\/em>
\nLan Ding<\/strong>, Wind assessment engineer, EDF Renouvelables<\/td>\n<\/tr>\n
PO30<\/td>\nFloating Lidar Systems: a mature and reliable technology serving the offshore wind industry!<\/em>
\nPablo Garcia <\/strong>,Les Eoliennes en Mer (consortium Engie; EDPr; CdC and Sumitomo)<\/td>\n<\/tr>\n
PO36<\/td>\nMeasuring accurate wind in forested area<\/em>
\nPaul Mazoyer<\/strong>, Lidar Wind Energy Engineer, Leosphere<\/td>\n<\/tr>\n
PO38<\/td>\nLidar Error Correction – Sensitivity on resolution and boundary conditions<\/em>
\nLinda Voss<\/strong>, Meteorological models manager, GEO-NET Umweltconsulting GmbH<\/td>\n<\/tr>\n
PO40<\/td>\nMulti scanning lidar measurements for resource assessment: A case study in complex terrain<\/em>
\nPedro Santos<\/strong>, PhD Student, DTU Wind Energy<\/td>\n<\/tr>\n
PO41<\/td>\nWind lidar development for offshore wind parks: The AEOLIKOS case<\/em>
\nDimitri Foussekis<\/strong>, Researcher, Centre for Renewable Energy Sources (CRES)<\/td>\n<\/tr>\n
PO42<\/td>\nA novel multi-LiDAR system for accurate wind and turbulence measurements in complex terrain – State of the project<\/em>
\nZouhair Khadiri-Yazami<\/strong>, Research Fellow, Fraunhofer IEE<\/td>\n<\/tr>\n
PO43<\/td>\nEstimation of inflow turbulence by a forward-looking, scanning lidar<\/em>
\nJakob Mann<\/strong>, Professor, DTU Wind Energy<\/td>\n<\/tr>\n
PO45<\/td>\nOptimization of lidar based measurement strategies for resource assessment of wind farms \u2013 State of the LiMeS project<\/em>
\nDoron Callies<\/strong>, coordinator, Fraunhofer IEE<\/td>\n<\/tr>\n
PO46<\/td>\nUncovering wind conditions in complex terrain with Dual-Doppler lidars<\/em>
\nJakob Mann<\/strong>, Professor, DTU Wind Energy<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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Topic 3 – Improving simulations and modelling with regards to levels of uncertainty<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PO48<\/td>\nReducing the bias of mesoscale wind simulations<\/em>
\nLasse Blanke<\/strong>, Authorized Officer, Anemos GmbH<\/td>\n<\/tr>\n
PO49<\/td>\nMonin-Obukhov similarity theory and its application to wind flow modelling over complex terrain<\/em>
\nHendri Breedt<\/strong>, Wind and Site Engineer (CFD), Siemens Gamesa Renewable Energy<\/td>\n<\/tr>\n
PO50<\/td>\n\u201cWhere should we promote measurements to \u00ab control\/drive\/validate \u00bb wind \u00ab macro\/meso\/micro \u00bb models ?\u201d : design of a new methodology.<\/em>
\nAlexis Dutrieux<\/strong>, Managing Director, ATM-PRO S.P.R.L.<\/td>\n<\/tr>\n
PO51<\/td>\nBias Adjustment Factor on Energy Yield Assessments<\/em>
\nGuillaume Boutonnet<\/strong>, Operational Assessment Engineer, EDF Renouvelables<\/td>\n<\/tr>\n
PO55<\/td>\nSpatial Extrapolation uncertainties for different flow model types<\/em>
\nKai Moennich<\/strong>, Senior Engineering Lead Energy Services, UL International GmbH<\/td>\n<\/tr>\n
PO56<\/td>\nCan the mast shear be extrapolated to hub height?<\/em>
\nKai Moennich<\/strong>, Senior Engineering Lead Energy Services, UL International GmbH<\/td>\n<\/tr>\n
PO57<\/td>\nThe \u201cOWA Wake Modeling Challenge\u201d: towards an open-access model evaluation methodology for array efficiency prediction<\/em>
\nJavier Sanz Rodrigo<\/strong>, Senior Researcher, CENER<\/td>\n<\/tr>\n
PO58<\/td>\nImproved lifetime and suitability decisions using wind climate uncertainty in a lightweight reliability setup<\/em>
\nLasse Svenningsen<\/strong>, R&D Manager, EMD International A\/S<\/td>\n<\/tr>\n
PO60<\/td>\nMeso- to microscale coupling via dynamical tendencies for determining site conditions in complex terrain<\/em>
\nBjarke Tobias Olsen<\/strong>, Post. Doc., DTU Wind Energy<\/td>\n<\/tr>\n
PO62<\/td>\nImproved WAsP flow modelling using remotely-sensed land cover products.<\/em>
\nRogier Floors<\/strong>, Scientist, DTU Wind Energy<\/td>\n<\/tr>\n
PO63<\/td>\nThe road towards the NEWA mesoscale wind atlas: How to generate and manage 6000 Terabytes of model data<\/em>
\nBj\u00f6rn Witha<\/strong>, Researcher, ForWind, Oldenburg University<\/td>\n<\/tr>\n
PO64<\/td>\nThe NEWA probabilistic wind atlas: Assessing model uncertainty with a large WRF ensemble<\/em>
\nJorge Navarro<\/strong>, Researcher, Renewable Energy Division, CIEMAT, Spain<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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Topic 4 – TBC<\/h3>\n<\/div>\n
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Topic 4 – Wakes<\/h3>\n\n\n\n\n
PO67<\/td>\nMulti windfarms interactions : a methodology to assess losses induced by new windfarm implementation<\/em>
\nAlexis Dutrieux<\/strong>, Managing Director, ATM-PRO S.P.R.L.<\/td>\n<\/tr>\n
PO68<\/td>\nImpact of ground clearance on wind farm performance \u2013 model verification<\/em>
\nWolfgang Schlez<\/strong>, Director, ProPlanEn<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n