Analysis of wind conditions on the Faroe islands based on roadside wind measurements and WASP Torkil Veyhe, Hans Georg Beyer, Barður Niclasen University of the Faroe Islands, Tórshavn, Faroe Islands On the Faroe Islands it is intended to increase the share of wind energy to the electricity supply. To improve an enhance the mapping of the wind potential, data given by a set of meteorological stations with wind measurements at 5 - 10m above ground intended to monitor road conditions (see fig.2) can be exploited. These stations are, however due to the complex topography of the islands, mostly positioned at locations not optimal for wind energy studies. We will describe the assessment of the possible to use these data for a scanning of the wind energy relevant information for a complex topography applying WASP in both, its conventional and CFD configuration (see e.g. [1,2, 3]). Für Fi.1: The Faroe Islands are located at 62̊ N in the North Atlantic Land Surface area is 1399 km2, population amounts to 50.000. Fig.2: Locations of the meteorological stations. A first analysis of the capability of WASP for this situation is done by applying its standard configuration. Wind atlas files are generated for some of the stations and used to derive the wind statistics for all stations. Fig. 3a,b give the resulting wind roses based on two atlas files – Sandoy(a) and Glyvurnes(b). The comparison with the empirical roses shows – as expectable - the mixed performance of WASP in this configuration. Fig. 4 gives the result of the test of the CFD configuration for a pair of sites. The match of the wind rose for the test location shows some improvements. In depth studies are ongoing. Atlas Glyvurnes CFD Atlas Sandoy Fig. 4: Comparison of empirical and modelled (WASP CFD setting) wind roses for site Sund based on atlas files derived from data for Glyvursnes. a Atlas Glyvursnes b Fig. 3: Comparison of empirical and modelled (basic WASP setting) wind roses based on atlas files derived from data for Sandoy and Glyvursnes. Tab.1 gives the comparison of empirical and modelled Weibull form (k) and shape (a) shape parameters for the wind distribution at selected sites. The conventional WASP model uses atlas files derived for the sites Sandoy and Glyvursnes. Tab.2 shows the respective result from the CTD setting applied for the site Sund with Atlas file from Glyvursnes. Small improvements compared to the basic scheme can be observed. site emp. k emp. a [m/s] mod. k Sandoy mod. a [m/s] Sandoy mod. k Glyvursnes mod. a [m/s] Gly.vursnes Klaksvik 1.59 5.2 1.53 7.9 1.42 6.2 Norðradalsskarð 10.0 1.49 13.4 1.37 10.8 Sund 1.46 4.3 1.45 3.5 1.33 3.0 Glyvursnes 1.79 8.2 1.93 8.1 Sandoy 1.94 8.5 8.3 1.61 6.9 Tab. 1: Results basic WASP. References [1] Bechmann, A. (n.d.). WAsP CFD A new beginning in wind resource assessment. [2] Troen, I., Hansen, B. O. Wind Resource Estimation in Complex Terrain: Prediction Skill of Linear and nonlinear Micro-Scale Models. København: Technical University of Denmark (2015) [3] Torkil Eyðfinnsson Veyhe, Prediction of Peak Wind Speed on the Faroe Islands With CFD Analysis, Master thesis, Aarhus University Department of Engineering (2016) site emp. k emp. a [m/s] mod. k Glyvursnes mod. a [m/s] Gly.vursnes Sund 1.46 4.3 1.42 3.2 Glyvursnes 1.79 8.2 8.1 Tab.2: Result WASP CFD.