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TUESDAY, 27 SEPTEMBER 2016 14:30 - 16:00 LIDARS - THE ZAPPING COMPETITION Room: Hall G2 | Resource assessment |
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Session description In this highly interactive quick-fire session, participants will scan through 14 LIDAR-related presentations and vote to select the three contributions they would like to hear in full. Presentations will cover a wide range of possible LIDAR applications, both offshore and onshore, such as power-curve validation, resource assessment in complex terrain, turbulence intensity measurements, and more. You attended this session?
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This session will be chaired by: ![]() Co-chair: ![]() ![]() |
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Mike Courtney DTU Wind, Denmark INTRO Download presentation: ![]() |
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Julia Gottschall Fraunhofer IWES, Germany FLOATING LIDAR SYSTEMS: CURRENT TECHNOLOGY STATUS AND REQUIREMENTS FOR IMPROVED MATURITY Abstract ID: 50 ![]() ![]() |
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Wiebke Langreder Wind Solutions, Denmark ROAMING REMOTE SENSING: QUANTIFICATION OF SEASONAL BIAS Abstract ID: 71 ![]() ![]() |
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Alex Clerc RES Ltd, United Kingdom SCANNING LIDAR IN OFFSHORE WIND Abstract ID: 84 ![]() ![]() |
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Stephane Sanquer Meteodyn, France POST CONVERSION OF LIDAR DATA ON COMPLEX TERRAINS Abstract ID: 101 ![]() ![]() ![]() |
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Michael Stephenson Carbon Trust, United Kingdom POWER CURVE VALIDATION USING LIDAR Abstract ID: 124 ![]() ![]() |
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Antoine Borraccino DTU Wind Energy, Denmark NEAR FLOW MEASUREMENTS USING NACELLE LIDARS: THE FUTURE OF POWER PERFORMANCE? Abstract ID: 133 ![]() ![]() |
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Soledad Sanz Iberdrola Engineering, Spain VALIDATION OF LIDAR MEASUREMENTS IN EXTREMELY COMPLEX TERRAIN Abstract ID: 228 ![]() ![]() ![]() |
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Mohsen Zendehbad ETH Zurich, Switzerland WIND FARM SCALE MEASUREMENTS USING A MOBILE SCANNING LIDAR Abstract ID: 267 ![]() ![]() |
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Edward Burin des Roziers DEWI, France A CASE STUDY OF PERFORMING A WIND RESOURCE ASSESSMENT BASED ON LIDAR MEASUREMENTS Abstract ID: 295 ![]() ![]() |
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Matthieu Boquet LEOSPHERE, France TURBULENCE INTENSITY MEASUREMENT TECHNIQUES FOR PULSED LIDARS – THE CURRENT STATUS Abstract ID: 320 Download presentation: ![]() |
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Michael Schmidt University of Oldenburg, Germany ORIENTATION CORRECTION OF WIND DIRECTION MEASUREMENTS BY MEANS OF STARING LIDAR Abstract ID: 436 ![]() ![]() ![]() |
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Harald Mueller Physikalisch-Technische Bundesanstalt, Germany A NOVEL LIDAR SYSTEM – FIRST RESULTS OF HIGHLY RESOLVED WIND VECTOR MEASUREMENTS Abstract ID: 491 ![]() ![]() ![]() |
TUESDAY, 27 SEPTEMBER 2016 17:00 - 18:30 ANNUAL ENERGY PRODUCTION: IMPROVED ESTIMATES THROUGH ADVANCED MODELLING Room: Hall G2 | Resource assessment |
Session description Advanced modelling methods are now standard in wind estimating modelling of annual energy production (AEP). In this session, speakers will present round robin tests of models for spatial variability of wind resource on projects using different modelling approaches. We will look at the consequences of including atmospheric stability in the calculation of AEP offshore and how you can measure wind profiles at heights of 100-200 metres by using LIDARs with emphasis on charactering extreme shear situations such as low-level jets causing extreme loads. Finally, we will hear about the variability of turbulence intensities measured offshore. You attended this session?
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This session will be chaired by: ![]() |
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Scott EIchelberger Vaisala, United States ROUND-ROBIN VALIDATION OF SPATIAL WIND MODELING AT A SITE WITH A LARGE NUMBER OF TOWERS Abstract ID: 217 ![]() ![]() |
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Jonas Schmidt Fraunhofer IWES, Germany THE CONSIDERATION OF ATMOSPHERIC STABILITY WITHIN WIND FARM AEP CALCULATIONS Abstract ID: 226 ![]() ![]() ![]() |
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Tina Leiding Deutscher Wetterdienst, Germany A CONCEPT FOR MODELLING QUANTITATIVE WIND CLIMATOLOGY FOR WIND ENERGY APPLICATIONS AT HEIGHTS ABOVE 100 M Abstract ID: 414 ![]() ![]() |
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Peter Clive SgurrEnergy Ltd, United Kingdom LOW LEVEL JETS, INTERMEDIATE BOUNDARY LAYERS AND VEER: ACCOMMODATING REAL WORLD WIND SHEAR IN ESTABLISHED PROCEDURES Abstract ID: 431 ![]() ![]() |
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Przemek Marek Prevailing, United Kingdom VARIATION OF OFFSHORE TURBULENCE INTENSITY Abstract ID: 449 ![]() ![]() |
WEDNESDAY, 28 SEPTEMBER 2016 09:00 - 10:30 COLD CLIMATE ISSUES IN RESOURCE ASSESSMENT Room: Hall G2 | Resource assessment |
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Session description Sites subject to cold climate not only have temperatures outside the normal limits of standard wind turbines but also atmospheric icing conditions which are frequent and may account for a significant loss in annual production. This session addresses the most recent advancements in the field of atmospheric icing effects on wind resource yield assessment. Assessing, measuring and estimating icing losses in the resource assessment phase of a project is of crucial importance for the successful business case of a wind farm in cold climates. Icing of the rotor blades can significantly reduce the energy yield of a wind farm up to 10% or more of the annual production and it also influences wind measurements by reducing availability. You attended this session?
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This session will be chaired by: ![]() |
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Timo Karlsson VTT Technical Research Centre of Finland, VALIDATION OF REMOTE SENSING METHODS FOR DETECTING ICING CONDITIONS Abstract ID: 119 ![]() ![]() ![]() |
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Carla Ribeiro DNV GL, United Kingdom ICING LOSSES, WHAT CAN WE LEARN FROM PRODUCTION AND METEOROLOGICAL DATA Abstract ID: 130 ![]() ![]() ![]() |
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Martin Strack Deutsche WindGuard Consulting GmbH, Germany BIG DATA APPROACH OF WIND RESOURCE AND OPERATIONAL DATA ANALYSIS IN COLD CLIMATE Abstract ID: 175 ![]() ![]() |
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Stefano Grassi ETH Zurich, Switzerland GENERATION AND VALIDATION OF SPATIAL DISTRIBUTION OF HOURLY WIND SPEED TIME-SERIES USING MACHINE-LEARNING Abstract ID: 195 ![]() ![]() ![]() |
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Øyvind Byrkjedal Kjeller Vindteknikk, Norway NEW ADVANCES IN ICING MEASUREMENTS AND ICING PREDICTIONS Abstract ID: 335 ![]() ![]() |
WEDNESDAY, 28 SEPTEMBER 2016 14:30 - 16:00 MESO-SCALE MODELLING AND THE MODEL CHAIN Room: Hall E | Resource assessment |
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Session description Numerical weather prediction models are increasingly being used for the estimation of wind resources over large regions. The large-scale wind resource maps resulting from such models are useful to identify favourable regions for wind energy deployment in the prospection phase. Often reanalysis data is used as the input for these models and one these datasets, MERRA from NASA, has recently been replaced by MERRA2. We will discuss the consequences of this change along with using micro-scale models to downscale. Speakers will also address the important subject of modelling storms using a coupled numerical weather model a spectral wave model. You attended this session?
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Erik Lundtang Petersen DTU Wind Energy, Denmark THE MODEL CHAIN AND THE SPECTRAL GAP Abstract ID: 37 ![]() ![]() |
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David Schillebeeckx Technical University of Denmark (DTU), Belgium VALIDATION AND SENSITIVITY TESTING OF MESOSCALE GENERALISATION PROCEDURE FOR THE WRF MODEL Abstract ID: 74 ![]() ![]() |
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Xiaoli Larsén DTU Wind Energy, Denmark STORM BRITTA Abstract ID: 123 ![]() ![]() |
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Pep Moreno Vortex, Spain HALF STEP FORWARD TOWARDS NEW REANALYSIS GENERATION: INTRODUCING MERRA2 AND WHAT IT BRINGS TO THE WIND POWER INDUSTRY Abstract ID: 328 ![]() ![]() |
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Rolando Soler-Bientz Loughborough University, United Kingdom ASSESSMENT OF THE OFFSHORE WIND SPEED RELATIVE TO THE SHORE DISTANCE Abstract ID: 329 ![]() ![]() |
THURSDAY, 29 SEPTEMBER 2016 09:00 - 10:30 CHALLENGES OF FOREST MODELLING Room: Hall G1 | Resource assessment |
Session description In this session we will get deep into the forest! We will look at how computational fluid dynamics (CFD) can be used in modelling the flow in forested areas, how to model profiles and also the turbulence. Different models will be applied and there will be lots of data from real forested sites around the world. The effects of using different input data will be investigated, and the use of lidar LIDAR scans to estimate roughness and other forest related parameters will be discussed. We will also hear about a series of experiments aiming amongst others to improve our understanding of flow in forested areas. You attended this session?
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This session will be chaired by: ![]() |
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Jakob Mann New European Wind Atlas, Denmark NEW EUROPEAN WIND ATLAS: AN OVERVIEW OF ONGOING EXPERIMENTS |
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Stephane Sanquer Meteodyn, France MODELLING WIND FLOW IN FORESTED AREA: A PARAMETRIC STUDY Abstract ID: 8 Download presentation: ![]() ![]() |
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Gibson Kersting E.ON Climate & Renewables, United States VALIDATION OF CFD BASED FOREST MODELLING FOR LARGE FORESTED AREAS WITH MANY MEASUREMENT MASTS Abstract ID: 108 Download presentation: ![]() |
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Claude Abiven The Natural Power Consultants Ltd, United Kingdom WIND FLOW MODELLING UNCERTAINTIES IN FORESTED TERRAIN Abstract ID: 169 Download presentation: ![]() |
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Ebba Dellwik DTU Wind Energy, Denmark AERIAL LIDAR SCANS FOR VALIDATION OF CFD MODELS IN COMPLEX FORESTED TERRAIN Abstract ID: 388 Download presentation: ![]() |
THURSDAY, 29 SEPTEMBER 2016 14:30 - 16:00 WAKE MODELLING AND FORECASTING Room: Hall E | Resource assessment |
Session description In the session there will be five presentations on wake modelling and forecasting. They will focus on the limitations in wake modelling including comparison with field data, and will move into short-term power production forecasting as well as studies of uncertainty in wind power forecast methods. You attended this session?
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This session will be chaired by: ![]() |
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Kester Gunn Uniper, United Kingdom LIMITATIONS TO THE VALIDITY OF SINGLE WAKE SUPERPOSITION IN WIND FARM YIELD ASSESSMENT Abstract ID: 73 ![]() ![]() |
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Eric Tromeur METEODYN, France INVESTIGATION AND VALIDATION OF WAKE MODEL COMBINATIONS FOR LARGE WIND FARM MODELLING IN NEUTRAL BOUNDARY LAYERS Abstract ID: 99 ![]() ![]() ![]() |
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Alla Sapronova Uni Research AS, Norway SHORT TIME AHEAD WIND POWER PRODUCTION FORECAST Abstract ID: 197 ![]() ![]() ![]() |
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Tilman Koblitz Vattenfall Energy Trading, The Netherlands UNCERTAINTY OF WIND POWER FORECASTS AND OPTIMISING THE USE OF WEATHER INTELLIGENCE Abstract ID: 296 ![]() ![]() |
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Richard Fruehmann UL International GmbH, Germany WAKE EFFECTS AT FINO 1 – NEW OBSERVATIONS SINCE THE CONSTRUCTION OF TRIANEL BORKUM & BORKUM RIFFGRUND I WIND FARMS Abstract ID: 471 ![]() ![]() ![]() |
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