Coupling Meso- and Microscale, the European
Transcription
Coupling Meso- and Microscale, the European
WindSim User Meeting 2007 WindSim User Meeting 2007 Improvements in post-processing Windfields Coupling Meso- and Microscale, the European Windmapping service Dipl. Inf. Carsten Albrecht AL-PRO WindSim User Meeting 2007 Overview: Improvements in post-processing windfields Why improvements – one case Working on timeseries Running several windspeeds Introducing the transfer matrix Summary Coupling Meso- and Microscale Motivation – the EuRA project Possibilities of coupling model systems The AL-PRO solution The product: European and Global Windmapping Service First results - Validation WindSim User Meeting 2007 Sample case Sample case 5,2 m/s 6,1 m/s WindSim User Meeting 2007 Sample case Sample case WindSim User Meeting 2007 Working on timeseries Working on timeseries Alternative 1: Run a case for each observation + - Exact behaviour for all cases MUCH too demanding Alternative 2: Run typical cases 2a: Standard cases + - Easy, not demanding Maybe decisive situations not taken into account 2c: Cluster timeseries + - Simulates cases of interest More demanding, often more cases to run, clustering needed 2b: Standard cases, 2 windspeeds + - Easy More demanding, still decisive situations might not be taken into account WindSim User Meeting 2007 Transfer matrix Transfer matrix 10 speed AL-PRO WindSim Windfield results 5 0 0 180 360 direction New windspeed 10 speed pre evaluation and interpolation 1.2 7° 5 0 0 180 direction 360 New direction WindSim User Meeting 2007 Brief summary: Transfer timeseries directly Use of n-dimensional transfer matrix More than one windspeed used Clustering of timeseries possible Advantages Not dependend on # of cases Significant cases can be simulated Easy to extend if more information is available (e.g. stability) Also available for transfer of standard deviation (Turbulence) WindSim User Meeting 2007 The EuRA project The EuRA project The project: Europe-wide 9 km grid re-analysis European wind database for over 106.000 grid points in Europe High resolution 10-minute average time series Wind data in 10, 60, 120 and 2.000 m a.g.l Temperature and temperature gradient More than 200 maps with met data Consortium of Deutsche WindGuard, Sander + Partner, AL-PRO WindSim User Meeting 2007 The EuRA project The EuRA project WindSim User Meeting 2007 Possibilities of coupling Possibilities of coupling Alternative 1: Nesting Alternative 2: Typical cases 1a: 2 way nesting 1b: 1 way nesting 1. Run cases independent from mesoscale model 1aa: Time dependend 1ba: Time dependend + - 1ab: Steady state (clustering) 1bb: Steady state (clustering) Sophisticated combination of the advantages of the two systems Deep knowledge and access to both systems necessary Both systems must run at the same time (depending on type) 2. Scale against meso scale model output + + - No direct access to each model needed No need to run models simutaneously Simplified approach WindSim User Meeting 2007 The AL-PRO solution The AL-PRO solution Meso-Scale Model WindSim vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro Vmeso vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro vmicro WindSim User Meeting 2007 European Windmapping Service European Windmapping Service Features and charactersitics of EWS Can be run with any meso-scale timeseries (even NCAR/NCEP directly) No model coupling needed Additional Wind Data can be included to improve result quality Advanced weighting system to include local measurements Quick (~4 weeks for one map) WindSim User Meeting 2007 Validation Validation Case Input Valbert, Germany, Western part, hilly) NCAR/NCEP Greec Island, mountainous NCAR/NCEP Greece, northern part, high mountains NCAR/NCEP Beverly Hills, USA, hilly NCAR/NCEP Validation Result Turbine production Error below 20% in data Turbine production Wind measurement Error ~ 25% in mean wind speed Not possible Airport measurement Error below 5% in mean wind speed WindSim User Meeting 2007 Summary Summary Summary Outlook, wishes Improved methods of windfield evaluation have been developed Shifting timeseries Clustering Turbulence shift Improved weighting of several masts (distance, height a.g.l., height a.s.l., user customized) New .wrg and .rsf export. Windmapping based on several masts Load study (inflow, turbulence, profiles …) Coupling to meso-scale results European Windmapping Service Adaption of turbulence model due to atmospheric conditions Including temperature/stability Including coriolis force More stability of the solver – convergence! Fixing bug in large forest simulation THANK YOU !!!