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engaged in wind energy assessment, <strong>and</strong> methods develop rapidly. Fur<strong>the</strong>rmore <strong>the</strong>degree to which wind assessment data is open <strong>and</strong> freely available, as well as <strong>the</strong> extentto which <strong>the</strong> methodology is transparent <strong>and</strong> subject to scrutiny by <strong>the</strong> wind resourceassessment community, is also disparate.Because of <strong>the</strong> incomplete assessment of wind resource over <strong>the</strong> world, policy makers<strong>and</strong> energy planners have been <strong>for</strong>ced into using coarse resolution global reanalysis datato estimate wind resources. This has a very serious drawback in that <strong>the</strong> coarse resolutionleads to an erroneous negative bias in <strong>the</strong> wind resource. Consequently <strong>the</strong> role of windenergy in <strong>the</strong> future energy mix may be downplayed, with grave implications <strong>for</strong>modelling approaches to climate mitigation.Making a complete global wind atlas using a single unified method available in <strong>the</strong>public domain provides <strong>the</strong> solution to <strong>the</strong> needs of <strong>the</strong> policy makers, energy planners,<strong>and</strong> Integrated Assessment Modelling (IAM) community. The Global Wind Atlasmethodology will be transparent, <strong>and</strong> presented to wind resource assessment communitythrough conferences <strong>and</strong> peer reviewed journal publications.The term wind resource assessment covers a very broad range of methods <strong>and</strong> manykinds of data. For example, <strong>the</strong> assessment can be based on in situ measurements <strong>and</strong> assuch pertain to <strong>the</strong> measurement location <strong>and</strong> height only, unless some kind treatment of<strong>the</strong> measured winds is carried out. At <strong>the</strong> o<strong>the</strong>r end of <strong>the</strong> range, <strong>the</strong> assessment may bebased on modelling, giving wind resource in 3 dimensions. However, <strong>the</strong> value of suchmodel derived assessment is limited without some kind of verification againstmeasurements.There<strong>for</strong>e <strong>the</strong> most valued wind resource assessment will feature a combination ofmeasurement <strong>and</strong> modelling. For example <strong>the</strong> European Wind Atlas (Troen <strong>and</strong>Petersen, 1989) developed a pioneering method to analyse in situ measurements in sucha way that <strong>the</strong> in<strong>for</strong>mation obtained from <strong>the</strong> measurements can be applied away from<strong>the</strong> measurement location. The analysis is done by modelling <strong>the</strong> effects due to localchanges in terrain elevation, local surface roughness changes, <strong>and</strong> obstacles, each ofwhich impacts <strong>the</strong> measured winds. The result of <strong>the</strong> analysis is a generalized windclimate. To predict <strong>the</strong> wind resource at a new site requires <strong>the</strong> application of <strong>the</strong> samea<strong>for</strong>ementioned models (calculating effects due to local changes in terrain elevation,local surface roughness changes, <strong>and</strong> obstacles) on a generalized wind climate. Thismethod comprises <strong>the</strong> workings of <strong>the</strong> WAsP (www.wasp.dk) software developed byRisø DTU <strong>and</strong> now used by over 10000 users worldwide.Wind resource assessment of <strong>the</strong> kind outlined above required a dense network of highquality <strong>and</strong> long term measurements. This is because a generalized wind climate is onlyvalid <strong>for</strong> a limited area. Where measurement data is missing, which is more often <strong>the</strong>case, numerical wind atlas methodologies are used. The conventional numerical windatlas uses long term, but coarse resolution, atmospheric datasets (e.g. reanalysis fromNCEP/NCAR, Kalnay et al, 1996) to <strong>for</strong>ce mesoscale models, capable of modelling <strong>the</strong>atmospheric flow at scales ranging approximately from 100 km to 5 km. This comprisesa so-called downscaling technique. From <strong>the</strong> mesoscale model simulations, maps ofwind resource can be created. In <strong>the</strong> method developed at Risø DTU, post-processing of<strong>the</strong> simulations results in a grid of generalized wind climates which can be used inWAsP. The huge advantage of creating <strong>the</strong> generalized wind climates is that <strong>the</strong>se can becompared to generalized wind climates derived from measurements in <strong>the</strong> region ofinterest. Even if <strong>the</strong>re is a limit to <strong>the</strong> number of high quality measurements, thiscomparison of model <strong>and</strong> measurement derived climate allows <strong>for</strong> a verification ofmodel results. A proper verification adds tremendous value to a wind resourceassessment.So far <strong>the</strong> Risø DTU methods outlined above have been used in numerous locationsaround <strong>the</strong> world; most recently in India, north-eastern China, <strong>and</strong> South Africa.However up to this point no single unified wind resource assessment has been per<strong>for</strong>med<strong>for</strong> <strong>the</strong> whole world, <strong>and</strong> it important to note <strong>the</strong> objective is not to per<strong>for</strong>m a globalversion of <strong>the</strong>se country-specific studies. A new method is required to generate <strong>the</strong>Risø International <strong>Energy</strong> Conference 2011 Proceedings Page 216

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